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2020 – today
- 2024
[j12]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)- [j11]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) - [c30]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 - [c29]Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen:
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD 2024: 944-955 - [c28]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 - [c27]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM 2024: 257-265 - [c26]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 - [i32]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) - [i31]Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. CoRR abs/2401.11720 (2024) - [i30]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) - [i29]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) - [i28]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) - [i27]Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen:
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR abs/2407.05126 (2024) - [i26]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) - [i25]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) - 2023
- [b1]Junliang Yu:
Enhancing recommender systems with self-supervised learning. University of Queensland, Australia, 2023 - [j10]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) - [j9]Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang:
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2254-2265 (2023) - [j8]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) - [c25]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 - [c24]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM 2023: 2795-2804 - [c23]Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin:
Efficient Bi-Level Optimization for Recommendation Denoising. KDD 2023: 2502-2511 - [i24]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) - [i23]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR abs/2308.12777 (2023) - [i22]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) - [i21]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR abs/2310.13303 (2023) - [i20]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Poisoning Attacks Against Contrastive Recommender Systems. CoRR abs/2311.18244 (2023) - 2022
- [j7]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) - [j6]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) - [c22]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 - [c21]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 - [c20]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 - [i19]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) - [i18]Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang:
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. CoRR abs/2203.03982 (2022) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li:
Addressing the Extreme Cold-Start Problem in Group Recommendation. CoRR abs/2210.09672 (2022) - 2021
- [j5]Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong:
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. Neurocomputing 461: 438-449 (2021) - [j4]Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. 546: 1166-1185 (2021) - [j3]Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang:
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. Inf. Sci. 578: 683-701 (2021) - [c19]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 - [c18]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM 2021: 2180-2190 - [c17]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 - [c16]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 - [c15]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 - [i12]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) - [i11]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) - [i10]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) - [i9]Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu:
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. CoRR abs/2107.10457 (2021) - [i8]Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR abs/2108.10560 (2021) - [i7]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) - [i6]Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen:
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR abs/2112.08679 (2021) - 2020
- [i5]Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR abs/2003.02474 (2020) - [i4]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) - [i3]Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong:
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling. CoRR abs/2008.04185 (2020) - [i2]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)
2010 – 2019
- 2019
- [c14]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 - [c13]Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong:
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. IJCNN 2019: 1-8 - [c12]Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong:
A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) 2019: 420-431 - [i1]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) - 2018
- [j2]Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang:
融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning). 计算机科学 45(10): 196-201 (2018) - [c11]Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu:
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM 2018: 357-366 - [c10]Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen:
Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. ICONIP (3) 2018: 101-113 - [c9]Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong:
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. ICTAI 2018: 197-204 - [c8]Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang:
Detection of Shilling Attack Based on Bayesian Model and User Embedding. ICTAI 2018: 639-646 - 2017
- [j1]Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong:
A Social Recommender Based on Factorization and Distance Metric Learning. IEEE Access 5: 21557-21566 (2017) - [c7]Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao:
PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. CollaborateCom 2017: 143-152 - [c6]Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang:
Impact of the Important Users on Social Recommendation System. CollaborateCom 2017: 425-434 - [c5]Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang:
Collaborative Shilling Detection Bridging Factorization and User Embedding. CollaborateCom 2017: 459-469 - [c4]Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong:
Integrating User Embedding and Collaborative Filtering for Social Recommendations. CollaborateCom 2017: 470-479 - [c3]Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong:
PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) 2017: 177-185 - [c2]Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong:
Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. ICONIP (5) 2017: 297-305 - [c1]Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong:
Connecting Factorization and Distance Metric Learning for Social Recommendations. KSEM 2017: 389-396
Coauthor Index
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