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ORCIDHongzhi Yin
Person information
- affiliation: University of Queensland, Brisbane, QLD, Australia
- affiliation (PhD 2014): Peking University, Beijing, China
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Books and Theses
- 2016
[b1]Hongzhi Yin
, Bin Cui:
Spatio-Temporal Recommendation in Social Media. Springer Briefs in Computer Science, Springer 2016, ISBN 978-981-10-0747-7, pp. 1-114
Journal Articles
- 2025
- [j126]Thanh Toan Nguyen, Nguyen Quoc Viet Hung, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin:
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. ACM Comput. Surv. 57(1): 3:1-3:39 (2025) - 2024
- [j125]Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Trans. Intell. Technol. 9(3): 608-619 (2024) - [j124]Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Inf. Sci. 680: 121165 (2024) - [j123]Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin:
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowl. Based Syst. 284: 111300 (2024) - [j122]Thanh Tam Nguyen, Zhao Ren, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin:
Portable graph-based rumour detection against multi-modal heterophily. Knowl. Based Syst. 284: 111310 (2024) - [j121]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT. IEEE Trans. Ind. Informatics 20(1): 824-834 (2024) - [j120]Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun H. Jo, Quoc Viet Hung Nguyen:
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. ACM Trans. Intell. Syst. Technol. 15(1): 9:1-9:26 (2024) - [j119]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 86:1-86:21 (2024) - [j118]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36(1): 335-355 (2024) - [j117]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36(2): 913-926 (2024) - [j116]Shijie Zhang, Wei Yuan, Hongzhi Yin:
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. IEEE Trans. Knowl. Data Eng. 36(3): 987-999 (2024) - [j115]Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao:
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios. IEEE Trans. Knowl. Data Eng. 36(4): 1713-1727 (2024) - [j114]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. 36(5): 2271-2284 (2024) - [j113]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 2895-2909 (2024) - [j112]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3363-3375 (2024) - [j111]Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu:
Multi-Level Graph Knowledge Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(12): 8829-8841 (2024) - [j110]Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 9123-9135 (2024) - [j109]Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin:
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4002-4016 (2024) - [j108]Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. ACM Trans. Inf. Syst. 42(3): 64:1-64:26 (2024) - [j107]Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin:
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 97:1-97:24 (2024) - [j106]Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin:
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) 27(3): 28 (2024) - 2023
- [j105]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin:
Special Issue of DASFAA 2023. Data Sci. Eng. 8(3): 221-222 (2023) - [j104]Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen:
Scalable maximal subgraph mining with backbone-preserving graph convolutions. Inf. Sci. 644: 119287 (2023) - [j103]Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen:
Deep MinCut: Learning Node Embeddings by Detecting Communities. Pattern Recognit. 134: 109126 (2023) - [j102]Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin:
Local feature-based mutual complexity for pixel-value-ordering reversible data hiding. Signal Process. 204: 108833 (2023) - [j101]Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin:
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data 9(2): 746-757 (2023) - [j100]Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27(11): 5249-5259 (2023) - [j99]Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment With Holistic Embeddings. IEEE Trans. Knowl. Data Eng. 35(2): 1881-1894 (2023) - [j98]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 2103-2117 (2023) - [j97]Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs. IEEE Trans. Knowl. Data Eng. 35(3): 3059-3071 (2023) - [j96]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3645-3657 (2023) - [j95]Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. 35(4): 3991-4002 (2023) - [j94]Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung:
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts. IEEE Trans. Knowl. Data Eng. 35(5): 5002-5016 (2023) - [j93]Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(7): 7397-7411 (2023) - [j92]Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen:
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection. IEEE Trans. Knowl. Data Eng. 35(9): 9128-9139 (2023) - [j91]Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Trans. Knowl. Data Eng. 35(9): 9656-9670 (2023) - [j90]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [j89]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4345-4358 (2023) - [j88]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. ACM Trans. Inf. Syst. 41(2): 31:1-31:24 (2023) - [j87]Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang:
Proactive Privacy-preserving Learning for Cross-modal Retrieval. ACM Trans. Inf. Syst. 41(2): 35:1-35:23 (2023) - [j86]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41(3): 51:1-51:5 (2023) - [j85]Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41(3): 65:1-65:30 (2023) - [j84]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. ACM Trans. Inf. Syst. 41(3): 66:1-66:25 (2023) - [j83]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41(4): 82:1-82:6 (2023) - [j82]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023) - [j81]Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41(4): 102:1-102:24 (2023) - [j80]Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou:
HFUL: a hybrid framework for user account linkage across location-aware social networks. VLDB J. 32(1): 1-22 (2023) - [j79]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen:
Detecting rumours with latency guarantees using massive streaming data. VLDB J. 32(2): 369-387 (2023) - [j78]Yuting Sun, Tong Chen, Hongzhi Yin:
Spatial-temporal meta-path guided explainable crime prediction. World Wide Web (WWW) 26(4): 2237-2263 (2023) - 2022
- [j77]Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65(1) (2022) - [j76]Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen:
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37(12): 10880-10902 (2022) - [j75]Karl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, Hongzhi Yin:
Preface - Special Issue on Misinformation on the Web. Inf. Syst. 103: 101867 (2022) - [j74]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-agnostic and diverse explanations for streaming rumour graphs. Knowl. Based Syst. 253: 109438 (2022) - [j73]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I. ACM Trans. Intell. Syst. Technol. 13(1): 1:1-1:2 (2022) - [j72]Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs. ACM Trans. Intell. Syst. Technol. 13(1): 2:1-2:25 (2022) - [j71]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II. ACM Trans. Intell. Syst. Technol. 13(3): 34:1-34:2 (2022) - [j70]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. IEEE J. Biomed. Health Informatics 26(6): 2778-2786 (2022) - [j69]Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu:
Social Boosted Recommendation With Folded Bipartite Network Embedding. IEEE Trans. Knowl. Data Eng. 34(2): 914-926 (2022) - [j68]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j67]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3447-3460 (2022) - [j66]Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou:
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. 34(7): 3461-3477 (2022) - [j65]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j64]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen:
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(9): 4201-4214 (2022) - [j63]Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. IEEE Trans. Knowl. Data Eng. 34(11): 5307-5320 (2022) - [j62]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40(1): 3:1-3:27 (2022) - [j61]Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng:
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach. ACM Trans. Inf. Syst. 40(2): 23:1-23:22 (2022) - [j60]Chengyuan Zhang, Yang Wang, Lei Zhu, Jiayu Song, Hongzhi Yin:
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation. ACM Trans. Inf. Syst. 40(2): 28:1-28:26 (2022) - [j59]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [j58]Yi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Mehdi Mosadeghy, Hongzhi Yin, Ryan K. L. Ko, Yilu Liu:
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids. IEEE Trans. Smart Grid 13(2): 1658-1661 (2022) - [j57]Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko:
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data. IEEE Trans. Smart Grid 13(6): 4957-4960 (2022) - [j56]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31(5): 877-896 (2022) - [j55]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - 2021
- [j54]Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. Proc. VLDB Endow. 14(5): 730-742 (2021) - [j53]Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Scalable Robust Graph Embedding with Spark. Proc. VLDB Endow. 15(4): 914-922 (2021) - [j52]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. Trans. Data Sci. 2(4): 42:1-42:21 (2021) - [j51]Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang:
Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25(3): 818-826 (2021) - [j50]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25(8): 2848-2856 (2021) - [j49]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. ACM Trans. Knowl. Discov. Data 15(5): 82:1-82:24 (2021) - [j48]Jianxin Liao, Tongcun Liu, Hongzhi Yin, Tong Chen, Jingyu Wang, Yulong Wang:
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation. World Wide Web 24(2): 631-655 (2021) - [j47]Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin:
A block-based generative model for attributed network embedding. World Wide Web 24(5): 1439-1464 (2021) - 2020
- [j46]Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou:
TEAGS: time-aware text embedding approach to generate subgraphs. Data Min. Knowl. Discov. 34(4): 1136-1174 (2020) - [j45]Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao:
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538: 176-192 (2020) - [j44]Wei Chen, Weiqing Wang, Hongzhi Yin, Junhua Fang, Lei Zhao:
User Account Linkage Across Multiple Platforms with Location Data. J. Comput. Sci. Technol. 35(4): 751-768 (2020) - [j43]Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li:
Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowl. Inf. Syst. 62(6): 2139-2167 (2020) - [j42]Yonghong Yu, Lihong Jiao, Ningning Zhou, Li Zhang, Hongzhi Yin:
Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognit. Lett. 140: 348-357 (2020) - [j41]Guohui Li, Qi Chen, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, Xiaofang Zhou:
Group-Based Recurrent Neural Networks for POI Recommendation. Trans. Data Sci. 1(1): 3:1-3:18 (2020) - [j40]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao:
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29: 1233-1245 (2020) - [j39]Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou:
Personalized Video Recommendation Using Rich Contents from Videos. IEEE Trans. Knowl. Data Eng. 32(3): 492-505 (2020) - [j38]Yi-Fan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke:
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. ACM Trans. Inf. Syst. 38(2): 12:1-12:33 (2020) - [j37]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 38(3): 22:1-22:23 (2020) - [j36]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [j35]Jinjing Huang, Wei Chen, Zhixu Li, Pengpeng Zhao, Weiqing Wang, Hongzhi Yin, Lei Zhao:
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud. World Wide Web 23(1): 519-547 (2020) - [j34]Jinjing Huang, Wei Chen, An Liu, Weiqing Wang, Hongzhi Yin, Lei Zhao:
Cluster query: a new query pattern on temporal knowledge graph. World Wide Web 23(2): 755-779 (2020) - [j33]Xiaocui Li, Hongzhi Yin, Ke Zhou, Xiaofang Zhou:
Semi-supervised clustering with deep metric learning and graph embedding. World Wide Web 23(2): 781-798 (2020) - [j32]Xiangguo Sun, Bo Liu, Qing Meng, Jiuxin Cao, Junzhou Luo, Hongzhi Yin:
Group-level personality detection based on text generated networks. World Wide Web 23(3): 1887-1906 (2020) - [j31]Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Wei Chen, Lei Zhao:
Extracting representative user subset of social networks towards user characteristics and topological features. World Wide Web 23(5): 2903-2931 (2020) - 2019
- [j30]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: A multi-component learning machine to predict protein secondary structure. Comput. Biol. Medicine 110: 144-155 (2019) - [j29]Jiuru Gao, Wei Chen, Jia-Jie Xu, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao:
An Efficient Framework for Multiple Subgraph Pattern Matching Models. J. Comput. Sci. Technol. 34(6): 1185-1202 (2019) - [j28]Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Bolong Zheng, Quoc Viet Hung Nguyen, Bela Stantic:
User Guidance for Efficient Fact Checking. Proc. VLDB Endow. 12(8): 850-863 (2019) - [j27]Thanh Tam Nguyen, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, Bela Stantic:
From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms. Proc. VLDB Endow. 12(9): 1016-1029 (2019) - [j26]Thanh Cong Phan, Thanh Tam Nguyen, Hongzhi Yin, Bolong Zheng, Bela Stantic, Nguyen Quoc Viet Hung:
Efficient User Guidance for Validating Participatory Sensing Data. ACM Trans. Intell. Syst. Technol. 10(4): 37:1-37:30 (2019) - [j25]Tieyun Qian, Bei Liu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Spatiotemporal Representation Learning for Translation-Based POI Recommendation. ACM Trans. Inf. Syst. 37(2): 18:1-18:24 (2019) - [j24]Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia W. Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung:
Leveraging multi-aspect time-related influence in location recommendation. World Wide Web 22(3): 1001-1028 (2019) - [j23]Yongjun Li, You Peng, Zhen Zhang, Hongzhi Yin, Quanqing Xu:
Matching user accounts across social networks based on username and display name. World Wide Web 22(3): 1075-1097 (2019) - [j22]Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali:
Layered convolutional dictionary learning for sparse coding itemsets. World Wide Web 22(5): 2225-2239 (2019) - [j21]Yaqing Wang, Chunyan Feng, Ling Chen, Hongzhi Yin, Caili Guo, Yunfei Chu:
User identity linkage across social networks via linked heterogeneous network embedding. World Wide Web 22(6): 2611-2632 (2019) - 2018
- [j20]Yongjun Li, Zhen Zhang, You Peng, Hongzhi Yin, Quanqing Xu:
Matching user accounts based on user generated content across social networks. Future Gener. Comput. Syst. 83: 104-115 (2018) - [j19]Yongjun Li, You Peng, Zhen Zhang, Mingjie Wu, Quanqing Xu, Hongzhi Yin:
A deep dive into user display names across social networks. Inf. Sci. 447: 186-204 (2018) - [j18]Xiaofang Zhou, Hongzhi Yin:
Preface. J. Comput. Sci. Technol. 33(4): 621-624 (2018) - [j17]Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang:
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowl. Based Syst. 157: 68-80 (2018) - [j16]Weiqing Wang, Hongzhi Yin, Xingzhong Du, Quoc Viet Hung Nguyen, Xiaofang Zhou:
TPM: A Temporal Personalized Model for Spatial Item Recommendation. ACM Trans. Intell. Syst. Technol. 9(6): 61:1-61:25 (2018) - [j15]Nguyen Quoc Viet Hung, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou:
Computing Crowd Consensus with Partial Agreement. IEEE Trans. Knowl. Data Eng. 30(1): 1-14 (2018) - [j14]Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou:
Exploiting detected visual objects for frame-level video filtering. World Wide Web 21(5): 1259-1284 (2018) - 2017
- [j13]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou:
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. ACM Trans. Intell. Syst. Technol. 8(3): 48:1-48:25 (2017) - [j12]Hongzhi Yin, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou:
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation. IEEE Trans. Knowl. Data Eng. 29(11): 2537-2551 (2017) - [j11]Nguyen Quoc Viet Hung, Chi Thang Duong, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou:
Argument discovery via crowdsourcing. VLDB J. 26(4): 511-535 (2017) - [j10]Nguyen Quoc Viet Hung, Duong Chi Thang, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou:
Answer validation for generic crowdsourcing tasks with minimal efforts. VLDB J. 26(6): 855-880 (2017) - 2016
- [j9]Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia W. Sadiq, Bin Luo:
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. ACM Trans. Intell. Syst. Technol. 8(1): 12:1-12:24 (2016) - [j8]Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung:
Adapting to User Interest Drift for POI Recommendation. IEEE Trans. Knowl. Data Eng. 28(10): 2566-2581 (2016) - [j7]Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia W. Sadiq:
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 35(2): 11:1-11:44 (2016) - [j6]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. World Wide Web 19(6): 1203-1230 (2016) - 2015
- [j5]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang:
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9(3): 19:1-19:41 (2015) - [j4]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou:
Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. 33(3): 10:1-10:44 (2015) - 2014
- [j3]Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen:
LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. 32(3): 11:1-11:37 (2014) - 2013
- [j2]Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui:
TeRec: A Temporal Recommender System Over Tweet Stream. Proc. VLDB Endow. 6(12): 1254-1257 (2013) - 2012
- [j1]Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen:
Challenging the Long Tail Recommendation. Proc. VLDB Endow. 5(9): 896-907 (2012)
Conference and Workshop Papers
- 2024
- [c193]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CIKM 2024: 1004-1014 - [c192]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CIKM 2024: 1452-1461 - [c191]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CIKM 2024: 1941-1950 - [c190]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CIKM 2024: 3217-3226 - [c189]Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin:
Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation. CIKM 2024: 3290-3299 - [c188]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE 2024: 611-624 - [c187]Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin:
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE 2024: 981-994 - [c186]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c185]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. ICDE 2024: 2723-2736 - [c184]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE 2024: 2820-2833 - [c183]Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE 2024: 2931-2944 - [c182]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE 2024: 3042-3055 - [c181]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. ICDE 2024: 3056-3069 - [c180]Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin:
Hate Speech Detection with Generalizable Target-aware Fairness. KDD 2024: 365-375 - [c179]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. KDD 2024: 851-862 - [c178]Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin:
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. KDD 2024: 2026-2036 - [c177]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD 2024: 3311-3322 - [c176]Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin:
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. RecSys 2024: 591-600 - [c175]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR 2024: 1296-1306 - [c174]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR 2024: 1712-1721 - [c173]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR 2024: 2199-2209 - [c172]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM 2024: 257-265 - [c171]Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. WSDM 2024: 557-566 - [c170]Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. WSDM 2024: 949-957 - [c169]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) 2024: 1280-1283 - [c168]Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW 2024: 3139-3149 - [c167]Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW 2024: 3379-3387 - [c166]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. WWW 2024: 3476-3484 - [c165]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [c164]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW 2024: 3930-3939 - 2023
- [c163]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c162]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM 2023: 545-555 - [c161]Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin:
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. CIKM 2023: 1617-1626 - [c160]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM 2023: 2795-2804 - [c159]Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. CIKM 2023: 3083-3093 - [c158]Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao:
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. ICDE 2023: 96-109 - [c157]Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. ICDE 2023: 381-393 - [c156]Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). ICDE 2023: 3791-3792 - [c155]Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. ICDM 2023: 378-387 - [c154]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. ICDM 2023: 1415-1420 - [c153]Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin:
Efficient Bi-Level Optimization for Recommendation Denoising. KDD 2023: 2502-2511 - [c152]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR 2023: 423-432 - [c151]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c150]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. SIGIR 2023: 1578-1588 - [c149]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [c148]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c147]Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin:
Learning to Distill Graph Neural Networks. WSDM 2023: 123-131 - [c146]Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin:
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. WSDM 2023: 195-203 - [c145]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c144]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW 2023: 339-348 - [c143]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - 2022
- [c142]Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin:
Locality Aware Temporal FMs for Crime Prediction. CIKM 2022: 4324-4328 - [c141]Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin:
Hyperbolic Personalized Tag Recommendation. DASFAA (2) 2022: 216-231 - [c140]Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang:
Switchable Online Knowledge Distillation. ECCV (11) 2022: 449-466 - [c139]Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment with Holistic Embeddings (Extended Abstract). ICDE 2022: 1509-1510 - [c138]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE 2022: 1533-1534 - [c137]Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. ICDE 2022: 2942-2955 - [c136]Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
exRumourLens: Auditable Rumour Detection with Multi-View Explanations. ICDE 2022: 3174-3177 - [c135]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM 2022: 428-437 - [c134]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin:
CIRCLE: continual repair across programming languages. ISSTA 2022: 678-690 - [c133]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. SIGIR 2022: 513-522 - [c132]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR 2022: 546-555 - [c131]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR 2022: 1294-1303 - [c130]Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang:
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. SIGIR 2022: 1664-1673 - [c129]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM 2022: 813-823 - [c128]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [c127]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c126]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [c125]Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen:
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. WWW 2022: 1611-1621 - 2021
- [c124]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021: 4503-4511 - [c123]Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W. Zheng, Hongzhi Yin, Kai Zheng:
Subgraph Convolutional Network for Recommendation. CCIS 2021: 15-19 - [c122]Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. CIKM 2021: 967-977 - [c121]Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin:
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network. CIKM 2021: 1079-1088 - [c120]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM 2021: 2180-2190 - [c119]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM 2021: 2557-2567 - [c118]Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin:
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction. CIKM 2021: 3323-3327 - [c117]Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin:
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). CIKM 2021: 4886-4887 - [c116]Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng:
Reliable Recommendation with Review-level Explanations. ICDE 2021: 1548-1558 - [c115]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng:
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE 2021: 2033-2038 - [c114]Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction. ICDE 2021: 2129-2134 - [c113]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Nguyen Quoc Viet Hung:
Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract). ICDE 2021: 2323-2324 - [c112]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. ICDM 2021: 519-528 - [c111]Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. IJCAI 2021: 1491-1497 - [c110]Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. IJCAI 2021: 2483-2489 - [c109]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD 2021: 138-147 - [c108]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD 2021: 1390-1398 - [c107]Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung:
Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD 2021: 2084-2092 - [c106]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c105]Peng-Fei Zhang, Jiasheng Duan, Zi Huang, Hongzhi Yin:
Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval. ACM Multimedia 2021: 1517-1525 - [c104]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. ACM Multimedia 2021: 3844-3852 - [c103]Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin:
Privacy Protection in Deep Multi-modal Retrieval. SIGIR 2021: 634-643 - [c102]Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin:
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR 2021: 747-756 - [c101]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021: 808-817 - [c100]Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen:
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. SIGIR 2021: 1239-1248 - [c99]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021: 265-273 - [c98]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung:
Heterogeneous Hypergraph Embedding for Graph Classification. WSDM 2021: 725-733 - [c97]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. WSDM 2021: 1056-1064 - [c96]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021: 413-424 - [c95]Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin:
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection. WWW 2021: 1990-2001 - [c94]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao:
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. WWW 2021: 2934-2945 - [c93]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - 2020
- [c92]Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020: 214-221 - [c91]Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou:
EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors. DASFAA (2) 2020: 3-19 - [c90]Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou:
Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) 2020: 425-441 - [c89]Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin:
Neural Pairwise Ranking Factorization Machine for Item Recommendation. DASFAA (1) 2020: 680-688 - [c88]Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung:
Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. ICDE 2020: 85-96 - [c87]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c86]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. ICDE 2020: 1405-1416 - [c85]Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Graph Embeddings for One-pass Processing of Heterogeneous Queries. ICDE 2020: 1994-1997 - [c84]Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing:
Discovering Subsequence Patterns for Next POI Recommendation. IJCAI 2020: 3216-3222 - [c83]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD 2020: 1503-1511 - [c82]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. ECML/PKDD (4) 2020: 36-51 - [c81]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020: 669-678 - [c80]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698 - [c79]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. SIGIR 2020: 891-900 - [c78]Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen:
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. SIGIR 2020: 2165-2168 - [c77]Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW 2020: 906-916 - 2019
- [c76]Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? AAAI 2019: 10031-10032 - [c75]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CIKM 2019: 579-588 - [c74]Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen:
What Can History Tell Us? CIKM 2019: 1593-1602 - [c73]Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia W. Sadiq, Xiaofang Zhou:
Semi-supervised Clustering with Deep Metric Learning. DASFAA (3) 2019: 383-386 - [c72]Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao:
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA (3) 2019: 487-490 - [c71]Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen:
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) 2019: 777-794 - [c70]Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li:
AIR: Attentional Intention-Aware Recommender Systems. ICDE 2019: 304-315 - [c69]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou:
Social Influence-Based Group Representation Learning for Group Recommendation. ICDE 2019: 566-577 - [c68]Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li:
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. ICDE 2019: 590-601 - [c67]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM 2019: 768-777 - [c66]Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen:
Inferring Substitutable Products with Deep Network Embedding. IJCAI 2019: 4306-4312 - [c65]Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556 - [c64]Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng:
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. KDD 2019: 1227-1235 - [c63]Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung:
Streaming Session-based Recommendation. KDD 2019: 1569-1577 - [c62]Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Quoc Viet Hung Nguyen:
Online User Representation Learning Across Heterogeneous Social Networks. SIGIR 2019: 545-554 - 2018
- [c61]Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang:
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC 2018: 211-223 - [c60]Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu:
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM 2018: 357-366 - [c59]Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin, Xiaofang Zhou, Jin Wang, Chunxiao Xing:
Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation. DASFAA (2) 2018: 20-36 - [c58]Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin, Lei Zhao:
Publishing Graph Node Strength Histogram with Edge Differential Privacy. DASFAA (2) 2018: 75-91 - [c57]Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung:
Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation. DASFAA (1) 2018: 100-115 - [c56]Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin, Lei Zhao:
A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud. DASFAA (1) 2018: 307-322 - [c55]Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici, Xiaofang Zhou:
Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs. DASFAA (1) 2018: 342-351 - [c54]Quoc Viet Hung Nguyen, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Thanh Tam Nguyen, Bela Stantic:
What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration. ICDE 2018: 89-100 - [c53]Hongzhi Yin, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, Xiaofang Zhou:
Joint Event-Partner Recommendation in Event-Based Social Networks. ICDE 2018: 929-940 - [c52]Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Xiaofang Zhou:
Effective and Efficient User Account Linkage across Location Based Social Networks. ICDE 2018: 1085-1096 - [c51]Quoc Viet Hung Nguyen, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou:
Computing Crowd Consensus with Partial Agreement. ICDE 2018: 1749-1750 - [c50]Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li:
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. ICDM 2018: 49-58 - [c49]Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou:
LC-RNN: A Deep Learning Model for Traffic Speed Prediction. IJCAI 2018: 3470-3476 - [c48]Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin:
Towards the Learning of Weighted Multi-label Associative Classifiers. IJCNN 2018: 1-7 - [c47]Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li:
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. KDD 2018: 1177-1186 - [c46]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c45]Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang:
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. KDD 2018: 2710-2719 - [c44]Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang:
Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD 2018: 2758-2767 - [c43]Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Yuval Elovici, Xiaofang Zhou:
Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis. MDM 2018: 66-75 - [c42]Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin:
Look Deeper See Richer: Depth-aware Image Paragraph Captioning. ACM Multimedia 2018: 672-680 - [c41]Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang:
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. PAKDD (Workshops) 2018: 40-52 - [c40]Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen:
Streaming Ranking Based Recommender Systems. SIGIR 2018: 525-534 - [c39]Jiali Yang, Zhixu Li, Hongzhi Yin, Pengpeng Zhao, An Liu, Zhigang Chen, Lei Zhao:
Unified User and Item Representation Learning for Joint Recommendation in Social Network. WISE (2) 2018: 35-50 - [c38]Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao:
Extracting Representative User Subset of Social Networks Towards User Characteristics and Topological Features. WISE (1) 2018: 213-229 - [c37]Lingjiao Lu, Junhua Fang, Pengpeng Zhao, Jiajie Xu, Hongzhi Yin, Lei Zhao:
Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs. WISE (1) 2018: 333-347 - [c36]Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian:
Discrete Deep Learning for Fast Content-Aware Recommendation. WSDM 2018: 717-726 - 2017
- [c35]Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen:
An Integrated Model for Effective Saliency Prediction. AAAI 2017: 274-281 - [c34]Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan, Xiaolin Qin:
Group Recommender Model Based on Preference Interaction. ADMA 2017: 132-147 - [c33]Qinyong Wang, Hongzhi Yin, Hao Wang:
A Time and Sentiment Unification Model for Personalized Recommendation. APWeb/WAIM (2) 2017: 98-113 - [c32]Yanxia Xu, Jinjing Huang, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao:
Time-Constrained Graph Pattern Matching in a Large Temporal Graph. APWeb/WAIM (1) 2017: 100-115 - [c31]Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Wen Hua, Xiaofang Zhou:
Exploiting Spatio-Temporal User Behaviors for User Linkage. CIKM 2017: 517-526 - [c30]Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Xiaofang Zhou, Shazia Wasim Sadiq:
Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation. DASFAA (1) 2017: 490-506 - [c29]Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou:
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. ICDE 2017: 75-78 - [c28]Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen:
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. ICDM 2017: 585-594 - [c27]Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung:
Retaining Data from Streams of Social Platforms with Minimal Regret. IJCAI 2017: 2850-2856 - [c26]Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong:
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD 2017: 1135-1143 - [c25]Jinjing Huang, Tianqiao Lin, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao:
Influenced Nodes Discovery in Temporal Contact Network. WISE (1) 2017: 472-487 - [c24]Yizhou Sun, Hongzhi Yin, Xiang Ren:
Recommendation in Context-Rich Environment: An Information Network Analysis Approach. WWW (Companion Volume) 2017: 941-945 - [c23]Yongjun Li, You Peng, Zhen Zhang, Quanqing Xu, Hongzhi Yin:
Understanding the User Display Names across Social Networks. WWW (Companion Volume) 2017: 1319-1326 - [c22]Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen:
People Opinion Topic Model: Opinion based User Clustering in Social Networks. WWW (Companion Volume) 2017: 1353-1359 - 2016
- [c21]Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou:
Using Detected Visual Objects to Index Video Database. ADC 2016: 333-345 - [c20]Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang:
Learning Graph-based POI Embedding for Location-based Recommendation. CIKM 2016: 15-24 - [c19]Hao Wang, Chen Zhang, Hongzhi Yin, Wei Wang, Jun Zhang, Fanjiang Xu:
A Unified Framework for Fine-Grained Opinion Mining from Online Reviews. HICSS 2016: 1134-1143 - [c18]Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, GuoHui Li:
Keyword-aware continuous kNN query on road networks. ICDE 2016: 871-882 - [c17]Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Wasim Sadiq:
Discovering interpretable geo-social communities for user behavior prediction. ICDE 2016: 942-953 - [c16]Weiqing Wang, Hongzhi Yin, Shazia Wasim Sadiq, Ling Chen, Min Xie, Xiaofang Zhou:
SPORE: A sequential personalized spatial item recommender system. ICDE 2016: 954-965 - [c15]Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao:
Expert team finding for review assignment. TAAI 2016 - [c14]Min Xie, Hongzhi Yin, Fanjiang Xu, Hao Wang, Xiaofang Zhou:
Graph-Based Metric Embedding for Next POI Recommendation. WISE (2) 2016: 207-222 - 2015
- [c13]Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo:
Predicting Passengers in Public Transportation Using Smart Card Data. ADC 2015: 28-40 - [c12]Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo:
Predicting Users' Purchasing Behaviors Using Their Browsing History. ADC 2015: 129-141 - [c11]Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Wasim Sadiq:
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation. CIKM 2015: 1631-1640 - [c10]Yanxia Xu, Guanfeng Liu, Hongzhi Yin, Jiajie Xu, Kai Zheng, Lei Zhao:
Discovering Organized POI Groups in a City. DASFAA Workshops 2015: 223-226 - [c9]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. ICDE Workshops 2015: 174-181 - [c8]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou:
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. KDD 2015: 1255-1264 - [c7]Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, Xian Wu, Xiaofang Zhou:
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation. ACM Multimedia 2015: 819-822 - [c6]Meng Zhao, Hao Wang, Liangliang Cao, Chen Zhang, Hongzhi Yin, Fanjiang Xu:
LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement. WI-IAT (1) 2015: 417-424 - [c5]Huimin Wu, Jie Shao, Hongzhi Yin, Heng Tao Shen, Xiaofang Zhou:
Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation. WISE (2) 2015: 426-441 - 2014
- [c4]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang:
A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference 2014: 1543-1554 - 2013
- [c3]Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao:
A unified model for stable and temporal topic detection from social media data. ICDE 2013: 661-672 - [c2]Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen:
LCARS: a location-content-aware recommender system. KDD 2013: 221-229 - 2011
- [c1]Hongzhi Yin, Bin Cui, Yuxin Huang:
Finding a Wise Group of Experts in Social Networks. ADMA (1) 2011: 381-394
Editorship
- 2023
- [e5]Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin:
Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings. Lecture Notes in Computer Science 13922, Springer 2023, ISBN 978-3-031-35414-4 [contents] - [e4]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13943, Springer 2023, ISBN 978-3-031-30636-5 [contents] - [e3]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13944, Springer 2023, ISBN 978-3-031-30671-6 [contents] - [e2]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13945, Springer 2023, ISBN 978-3-031-30674-7 [contents] - [e1]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13946, Springer 2023, ISBN 978-3-031-30677-8 [contents]
Reference Works
- 2018
- [r1]Hongzhi Yin, Bin Cui, Xiaofang Zhou:
Spatiotemporal Recommendation in Geo-Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
Informal and Other Publications
- 2024
- [i174]Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia W. Sadiq:
Poisoning Attacks against Recommender Systems: A Survey. CoRR abs/2401.01527 (2024) - [i173]Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He:
ROIC-DM: Robust Text Inference and Classification via Diffusion Model. CoRR abs/2401.03514 (2024) - [i172]Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin:
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. CoRR abs/2401.08228 (2024) - [i171]Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang:
On-Device Recommender Systems: A Comprehensive Survey. CoRR abs/2401.11441 (2024) - [i170]Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. CoRR abs/2401.11720 (2024) - [i169]Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR abs/2401.13448 (2024) - [i168]Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. CoRR abs/2401.14583 (2024) - [i167]Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. CoRR abs/2401.14606 (2024) - [i166]Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR abs/2401.14678 (2024) - [i165]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i164]Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin:
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. CoRR abs/2402.00390 (2024) - [i163]Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin:
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR abs/2402.17334 (2024) - [i162]Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin:
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. CoRR abs/2403.09039 (2024) - [i161]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. CoRR abs/2403.11483 (2024) - [i160]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR abs/2403.17780 (2024) - [i159]Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin:
Lightweight Embeddings for Graph Collaborative Filtering. CoRR abs/2403.18479 (2024) - [i158]Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR abs/2403.20107 (2024) - [i157]Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. CoRR abs/2404.00673 (2024) - [i156]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR abs/2404.01177 (2024) - [i155]Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin:
Automated Similarity Metric Generation for Recommendation. CoRR abs/2404.11818 (2024) - [i154]Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin:
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. CoRR abs/2404.14942 (2024) - [i153]Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen:
A Survey of Generative Techniques for Spatial-Temporal Data Mining. CoRR abs/2405.09592 (2024) - [i152]Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR abs/2405.13707 (2024) - [i151]Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin:
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. CoRR abs/2405.13811 (2024) - [i150]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. CoRR abs/2405.17003 (2024) - [i149]Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin:
Hate Speech Detection with Generalizable Target-aware Fairness. CoRR abs/2406.00046 (2024) - [i148]Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin:
Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR abs/2406.01022 (2024) - [i147]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin:
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. CoRR abs/2406.05387 (2024) - [i146]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. CoRR abs/2406.13200 (2024) - [i145]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i144]Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Heterogeneous Hypergraph Embedding for Recommendation Systems. CoRR abs/2407.03665 (2024) - [i143]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - [i142]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR abs/2407.15411 (2024) - [i141]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CoRR abs/2407.21034 (2024) - [i140]Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao:
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs. CoRR abs/2408.03166 (2024) - [i139]Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin:
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering. CoRR abs/2408.03765 (2024) - [i138]Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin:
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. CoRR abs/2409.11690 (2024) - [i137]Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin:
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. CoRR abs/2410.02191 (2024) - [i136]Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services. CoRR abs/2410.04927 (2024) - [i135]Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang:
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. CoRR abs/2410.05802 (2024) - [i134]Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin:
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation. CoRR abs/2410.10130 (2024) - [i133]Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin:
Graph Masked Autoencoder for Spatio-Temporal Graph Learning. CoRR abs/2410.10915 (2024) - [i132]Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang:
Coherence-guided Preference Disentanglement for Cross-domain Recommendations. CoRR abs/2410.20580 (2024) - [i131]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CoRR abs/2411.01540 (2024) - 2023
- [i130]Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin:
Knowledge Enhancement for Multi-Behavior Contrastive Recommendation. CoRR abs/2301.05403 (2023) - [i129]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i128]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i127]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i126]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT. CoRR abs/2303.03611 (2023) - [i125]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i124]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i123]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i122]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. CoRR abs/2304.03984 (2023) - [i121]Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin:
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation. CoRR abs/2304.04218 (2023) - [i120]Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling. CoRR abs/2304.12083 (2023) - [i119]Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin:
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR abs/2304.14635 (2023) - [i118]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i117]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i116]Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. CoRR abs/2305.08183 (2023) - [i115]Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - [i114]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. CoRR abs/2306.10345 (2023) - [i113]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR abs/2306.10532 (2023) - [i112]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR abs/2306.13271 (2023) - [i111]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i110]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR abs/2307.15244 (2023) - [i109]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i108]Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin:
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. CoRR abs/2308.07752 (2023) - [i107]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR abs/2308.12777 (2023) - [i106]Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation. CoRR abs/2308.13269 (2023) - [i105]Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. CoRR abs/2309.03518 (2023) - [i104]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. CoRR abs/2309.08165 (2023) - [i103]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR abs/2310.10998 (2023) - [i102]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR abs/2310.13303 (2023) - [i101]Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. CoRR abs/2310.14884 (2023) - [i100]Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. CoRR abs/2310.16335 (2023) - [i99]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR abs/2311.00491 (2023) - [i98]Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin:
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. CoRR abs/2311.11235 (2023) - [i97]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. CoRR abs/2311.14968 (2023) - [i96]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Poisoning Attacks Against Contrastive Recommender Systems. CoRR abs/2311.18244 (2023) - [i95]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR abs/2312.10864 (2023) - [i94]Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning with Graph Condensation. CoRR abs/2312.14439 (2023) - [i93]Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. CoRR abs/2312.15826 (2023) - 2022
- [i92]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR abs/2201.02757 (2022) - [i91]Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou:
HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks. CoRR abs/2201.02830 (2022) - [i90]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i89]Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin:
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. CoRR abs/2202.09508 (2022) - [i88]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. CoRR abs/2202.13041 (2022) - [i87]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. CoRR abs/2203.13922 (2022) - [i86]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. CoRR abs/2203.15876 (2022) - [i85]Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. CoRR abs/2204.00327 (2022) - [i84]Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang:
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. CoRR abs/2204.02592 (2022) - [i83]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. CoRR abs/2204.03281 (2022) - [i82]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. CoRR abs/2204.06516 (2022) - [i81]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR abs/2204.11091 (2022) - [i80]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen:
Detecting Rumours with Latency Guarantees using Massive Streaming Data. CoRR abs/2205.06580 (2022) - [i79]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin:
CIRCLE: Continual Repair across Programming Languages. CoRR abs/2205.10956 (2022) - [i78]Shijie Zhang, Hongzhi Yin:
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks. CoRR abs/2205.11857 (2022) - [i77]Guanhua Ye, Hongzhi Yin, Tong Chen:
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics. CoRR abs/2205.13705 (2022) - [i76]Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin:
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation. CoRR abs/2206.08050 (2022) - [i75]Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation. CoRR abs/2206.08088 (2022) - [i74]Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution. CoRR abs/2207.00594 (2022) - [i73]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs. CoRR abs/2207.08098 (2022) - [i72]Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. CoRR abs/2207.13897 (2022) - [i71]Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. CoRR abs/2209.01397 (2022) - [i70]Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao:
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. CoRR abs/2209.01416 (2022) - [i69]Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen:
A Survey of Machine Unlearning. CoRR abs/2209.02299 (2022) - [i68]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR abs/2209.02544 (2022) - [i67]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. CoRR abs/2209.03735 (2022) - [i66]Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang:
Switchable Online Knowledge Distillation. CoRR abs/2209.04996 (2022) - [i65]Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. CoRR abs/2209.13422 (2022) - [i64]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - [i63]Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin:
Self-supervised Graph-based Point-of-interest Recommendation. CoRR abs/2210.12506 (2022) - [i62]Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. CoRR abs/2211.00495 (2022) - [i61]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - [i60]Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin:
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing. CoRR abs/2212.12139 (2022) - 2021
- [i59]Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph. CoRR abs/2101.00752 (2021) - [i58]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. CoRR abs/2101.01433 (2021) - [i57]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR abs/2101.02873 (2021) - [i56]Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR abs/2101.06448 (2021) - [i55]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i54]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR abs/2103.13506 (2021) - [i53]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR abs/2104.00919 (2021) - [i52]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i51]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR abs/2104.01716 (2021) - [i50]Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. CoRR abs/2105.03300 (2021) - [i49]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR abs/2105.04774 (2021) - [i48]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR abs/2105.08908 (2021) - [i47]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR abs/2106.02223 (2021) - [i46]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR abs/2106.02817 (2021) - [i45]Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung:
Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR abs/2106.03569 (2021) - [i44]Yang Li, Tong Chen, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. CoRR abs/2106.15814 (2021) - [i43]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. CoRR abs/2107.00846 (2021) - [i42]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. CoRR abs/2107.00852 (2021) - [i41]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. CoRR abs/2107.02390 (2021) - [i40]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR abs/2108.10560 (2021) - [i39]Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. CoRR abs/2108.11333 (2021) - [i38]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. CoRR abs/2109.00368 (2021) - [i37]Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR abs/2109.04200 (2021) - [i36]Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs. CoRR abs/2109.07571 (2021) - [i35]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. CoRR abs/2110.05730 (2021) - [i34]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021) - [i33]Minh Tam Pham, Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen:
A dual benchmarking study of facial forgery and facial forensics. CoRR abs/2111.12912 (2021) - [i32]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
Self-supervised Graph Learning for Occasional Group Recommendation. CoRR abs/2112.02274 (2021) - [i31]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. CoRR abs/2112.02275 (2021) - [i30]Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen:
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR abs/2112.08679 (2021) - [i29]Vinh Van Tong, Thanh Trung Huynh, Thanh Tam Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Huynh Quyet Thang:
Link-Intensive Alignment for Incomplete Knowledge Graphs. CoRR abs/2112.09266 (2021) - [i28]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent. CoRR abs/2112.09341 (2021) - 2020
- [i27]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR abs/2004.02340 (2020) - [i26]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. CoRR abs/2005.09344 (2020) - [i25]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. CoRR abs/2005.10150 (2020) - [i24]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR abs/2006.01963 (2020) - [i23]Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou:
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors. CoRR abs/2006.03857 (2020) - [i22]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. CoRR abs/2007.02747 (2020) - [i21]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. CoRR abs/2010.00813 (2020) - [i20]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung:
Heterogeneous Hypergraph Embedding for Graph Classification. CoRR abs/2010.10728 (2020) - [i19]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. CoRR abs/2011.00944 (2020) - [i18]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR abs/2012.06852 (2020) - [i17]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. CoRR abs/2012.07064 (2020) - [i16]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. CoRR abs/2012.14234 (2020) - 2019
- [i15]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. CoRR abs/1902.09582 (2019) - [i14]Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell:
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. CoRR abs/1903.12395 (2019) - [i13]Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang, Truong Giang Le Ba, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Parallel Computation of Graph Embeddings. CoRR abs/1909.02977 (2019) - [i12]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR abs/1909.03529 (2019) - [i11]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. CoRR abs/1911.02752 (2019) - [i10]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CoRR abs/1911.11942 (2019) - 2018
- [i9]Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung:
MCP: a multi-component learning machine for prediction of protein secondary structure. CoRR abs/1806.06394 (2018) - [i8]Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? CoRR abs/1812.05411 (2018) - 2017
- [i7]Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia W. Sadiq:
Leveraging Multi-aspect Time-related Influence in Location Recommendation. CoRR abs/1701.00595 (2017) - [i6]Tong Chen, Lin Wu, Xue Li, Jun Zhang, Hongzhi Yin, Yang Wang:
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. CoRR abs/1704.05973 (2017) - [i5]Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong:
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. CoRR abs/1706.06239 (2017) - 2016
- [i4]Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou:
Exploiting Rich Contents for Personalized Video Recommendation. CoRR abs/1612.06935 (2016) - 2015
- [i3]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia W. Sadiq, Xiaofang Zhou:
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. CoRR abs/1503.03650 (2015) - 2013
- [i2]Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui:
Community Specific Temporal Topic Discovery from Social Media. CoRR abs/1312.0860 (2013) - 2012
- [i1]Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen:
Challenging the Long Tail Recommendation. CoRR abs/1205.6700 (2012)
Coauthor Index
[j125] [j121] [j119] [j118] [j117] [j114] [j112] [j109] [j100] [j98] [j97] [j96] [j93] [j91] [j89] [j85] [j84] [j78] [j72] [j70] [j69] [j62] [j59] [j57] [j56] [j51] [j50] [j48] [j43] [j36] [c193] [c191] [c187] [c181] [c180] [c179] [c178] [c175] [c174] [c171] [c169] [c167] [c166] [c164] [c163] [c162] [c161] [c155] [c154] [c152] [c151] [c150] [c138] [c131] [c130] [c128] [c127] [c126] [c122] [c115] [c114] [c111] [c110] [c109] [c101] [c93] [c92] [c90] [c86] [c83] [c81] [c80] [c79] [c77] [c74] [c70] [c68] [c66] [c63] [c50] [c41] [c22] [i171] [i170] [i169] [i168] [i167] [i159] [i156] [i152] [i151] [i150] [i149] [i146] [i145] [i143] [i142] [i140] [i136] [i134] [i127] [i126] [i124] [i123] [i122] [i120] [i118] [i117] [i114] [i113] [i112] [i109] [i108] [i106] [i105] [i104] [i101] [i98] [i95] [i93] [i92] [i90] [i86] [i84] [i82] [i77] [i76] [i75] [i74] [i72] [i68] [i63] [i59] [i57] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i47] [i44] [i43] [i39] [i36] [i34] [i28] [i26] [i25] [i24] [i22] [i11] [i6]
Li-zhen Cui
aka: Lizhen Cui
aka: Lizhen Cui
Chi Thang Duong
aka: Duong Chi Thang
aka: Duong Chi Thang
[j119] [j118] [j98] [j96] [j95] [j89] [j87] [j65] [j59] [j37] [j36] [j17] [j14] [j7] [c193] [c173] [c144] [c138] [c135] [c129] [c128] [c115] [c112] [c111] [c109] [c105] [c104] [c103] [c101] [c93] [c87] [c81] [c80] [c79] [c77] [c75] [c71] [c65] [c61] [c57] [c53] [c46] [c42] [c40] [c36] [c35] [c21] [c7] [c4] [i160] [i145] [i143] [i128] [i118] [i94] [i92] [i86] [i67] [i63] [i55] [i52] [i51] [i49] [i47] [i44] [i43] [i42] [i41] [i38] [i35] [i34] [i27] [i26] [i25] [i22] [i10]
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
[j126] [j125] [j124] [j122] [j121] [j120] [j119] [j117] [j108] [j104] [j103] [j100] [j99] [j94] [j91] [j85] [j84] [j81] [j79] [j75] [j74] [j70] [j64] [j63] [j54] [j53] [j41] [j36] [j28] [j27] [j26] [j25] [j17] [j16] [j15] [j11] [j10] [j8] [c191] [c188] [c182] [c181] [c171] [c168] [c167] [c162] [c156] [c155] [c152] [c150] [c149] [c144] [c143] [c139] [c136] [c134] [c132] [c131] [c130] [c128] [c113] [c110] [c107] [c98] [c96] [c92] [c88] [c86] [c85] [c80] [c78] [c77] [c71] [c70] [c68] [c66] [c65] [c63] [c62] [c57] [c54] [c53] [c51] [c47] [c40] [c29] [c28] [c27] [c17] [i168] [i166] [i158] [i157] [i154] [i152] [i147] [i145] [i144] [i142] [i138] [i136] [i129] [i128] [i127] [i126] [i125] [i123] [i122] [i120] [i119] [i118] [i116] [i114] [i109] [i106] [i105] [i103] [i101] [i97] [i93] [i84] [i82] [i81] [i80] [i79] [i74] [i73] [i72] [i69] [i68] [i65] [i62] [i56] [i50] [i45] [i34] [i33] [i30] [i29] [i28] [i25] [i20] [i13] [i11]
Thanh Trung Huynh
aka: Huynh Thanh Trung
aka: Huynh Thanh Trung
[j118] [j117] [j101] [j81] [j65] [j56] [c182] [c177] [c172] [c168] [c162] [c160] [c153] [c132] [c131] [c127] [c124] [c120] [c119] [c107] [c96] [c67] [c60] [i174] [i170] [i166] [i152] [i148] [i138] [i137] [i127] [i107] [i103] [i102] [i96] [i89] [i86] [i81] [i68] [i65] [i56] [i53] [i45] [i40] [i37] [i30] [i27] [i18] [i12]
[j91] [j80] [j67] [j66] [j46] [j43] [j41] [j39] [j33] [j24] [j18] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j4] [c186] [c91] [c90] [c86] [c84] [c73] [c69] [c59] [c55] [c53] [c52] [c51] [c50] [c49] [c43] [c31] [c30] [c29] [c21] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c8] [c7] [c5] [r1] [i111] [i91] [i74] [i23] [i21] [i11] [i7] [i4] [i3]
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