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ORCIDFuzhen Zhuang
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- affiliation: Beihang University, School of Computer Science, Institute of Artificial Intelligence, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
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2020 – today
- 2025
[j95]Yuanbo Xu
, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu:
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. IEEE Trans. Knowl. Data Eng. 37(2): 754-765 (2025)- 2024
- [j94]Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong:
A comprehensive survey of federated transfer learning: challenges, methods and applications. Frontiers Comput. Sci. 18(6): 186356 (2024) - [j93]Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li:
DKPE: Deep KeyPhrase Expansion. Neurocomputing 572: 127177 (2024) - [j92]Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo:
Open-category referring expression comprehension via multi-modal knowledge transfer. Neurocomputing 598: 128063 (2024) - [j91]Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou:
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Inf. Sci. 659: 120081 (2024) - [j90]Yanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang:
Multi-scale conditional reconstruction generative adversarial network. Image Vis. Comput. 141: 104885 (2024) - [j89]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. 66(5): 3085-3114 (2024) - [j88]Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
A syntactic multi-level interaction network for rumor detection. Neural Comput. Appl. 36(4): 1713-1726 (2024) - [j87]Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
A syntactic evidence network model for fact verification. Neural Networks 178: 106424 (2024) - [j86]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. 36(5): 1951-1963 (2024) - [j85]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3376-3389 (2024) - [j84]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng:
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Trans. Knowl. Data Eng. 36(11): 7115-7128 (2024) - [j83]Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. IEEE Trans. Knowl. Data Eng. 36(12): 9136-9149 (2024) - [j82]Ying Luo, Guoliang Kang, Kexin Liu, Fuzhen Zhuang, Jinhu Lü:
Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization. IEEE Trans. Multim. 26: 5872-5883 (2024) - [j81]Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu:
Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. 42(3): 70:1-70:27 (2024) - [j80]Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia:
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42(4): 94:1-94:25 (2024) - [j79]Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong:
TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. ACM Trans. Inf. Syst. 42(6): 157:1-157:34 (2024) - [c175]Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong:
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI 2024: 17781-17789 - [c174]Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM 2024: 799-808 - [c173]Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu:
Exploring High-Order User Preference with Knowledge Graph for Recommendation. CIKM 2024: 4138-4142 - [c172]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang:
Multi-view Temporal Knowledge Graph Reasoning. CIKM 2024: 4263-4267 - [c171]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang:
SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) 2024: 89-104 - [c170]Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. DASFAA (4) 2024: 273-290 - [c169]Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang:
Scaling Sentence Embeddings with Large Language Models. EMNLP (Findings) 2024: 3182-3196 - [c168]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c167]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [c166]Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou:
Representation Learning of Temporal Graphs with Structural Roles. KDD 2024: 654-665 - [c165]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD 2024: 3437-3447 - [c164]Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu:
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD 2024: 4986-4996 - [c163]Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD 2024: 6291-6300 - [c162]Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu:
Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024: 5683-5691 - [c161]Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. NeurIPS 2024 - [c160]Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Resource-Aware Federated Self-Supervised Learning with Global Class Representations. NeurIPS 2024 - [c159]Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su:
Light POI-Guided Conversational Recommender System based on Adaptive Space. SDM 2024: 724-733 - [c158]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM 2024: 548-556 - [c157]Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu:
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) 2024: 774-777 - [c156]Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang:
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) 2024: 979-982 - [i88]Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang:
Improving Domain Adaptation through Extended-Text Reading Comprehension. CoRR abs/2401.07284 (2024) - [i87]Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong:
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications. CoRR abs/2403.01387 (2024) - [i86]Dongbo Xi, Zhen Chen, Yuexian Wang, He Cui, Chong Peng, Fuzhen Zhuang, Peng Yan:
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework. CoRR abs/2404.08361 (2024) - [i85]Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. CoRR abs/2404.08695 (2024) - [i84]Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
ID-centric Pre-training for Recommendation. CoRR abs/2405.03562 (2024) - [i83]Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang:
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning. CoRR abs/2405.12130 (2024) - [i82]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR abs/2405.15280 (2024) - [i81]Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR abs/2406.11920 (2024) - [i80]Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR abs/2407.00912 (2024) - [i79]Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou:
Graph Dimension Attention Networks for Enterprise Credit Assessment. CoRR abs/2407.11615 (2024) - [i78]Ting Jiang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang:
E5-V: Universal Embeddings with Multimodal Large Language Models. CoRR abs/2407.12580 (2024) - [i77]Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu:
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning. CoRR abs/2410.17555 (2024) - [i76]Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daxin Wang, Zhiqiang Zhang, Fuzhen Zhuang:
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. CoRR abs/2412.11654 (2024) - [i75]Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang:
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. CoRR abs/2412.11905 (2024) - 2023
- [j78]Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. IEEE Intell. Syst. 38(5): 18-27 (2023) - [j77]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He:
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17(1): 171305 (2023) - [j76]Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang:
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10212-10227 (2023) - [j75]Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong:
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17(5): 68:1-68:24 (2023) - [j74]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2809-2822 (2023) - [j73]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [j72]Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang:
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35(5): 4608-4620 (2023) - [j71]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(7): 7178-7191 (2023) - [j70]Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong:
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7557-7568 (2023) - [j69]Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou:
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8559-8571 (2023) - [j68]Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9054-9066 (2023) - [j67]Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng:
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Trans. Mob. Comput. 22(6): 3318-3332 (2023) - [j66]Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li:
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41(4): 92:1-92:23 (2023) - [c155]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) 2023: 594-605 - [c154]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang:
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM 2023: 955-964 - [c153]Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu:
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM 2023: 4430-4434 - [c152]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c151]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) 2023: 1453-1462 - [c150]Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong:
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD 2023: 3991-4002 - [c149]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD 2023: 5628-5638 - [c148]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys 2023: 565-575 - [c147]Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang:
Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. SDM 2023: 936-944 - [c146]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC 2023: 522-540 - [c145]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR 2023: 58-67 - [c144]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR 2023: 78-88 - [c143]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR 2023: 89-98 - [c142]Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu:
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. SIGIR 2023: 413-422 - [c141]Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. SIGIR 2023: 867-877 - [c140]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [c139]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c138]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [c137]Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li:
A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) 2023: 475-479 - [c136]Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng:
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW 2023: 1396-1404 - [i74]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i73]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i72]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR abs/2304.09184 (2023) - [i71]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i70]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i69]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - [i68]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR abs/2305.17417 (2023) - [i67]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR abs/2306.04370 (2023) - [i66]Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang:
Scaling Sentence Embeddings with Large Language Models. CoRR abs/2307.16645 (2023) - [i65]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR abs/2308.05385 (2023) - [i64]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR abs/2308.09780 (2023) - [i63]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR abs/2308.15244 (2023) - [i62]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i61]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR abs/2310.14318 (2023) - [i60]Hangtong Xu, Yuanbo Xu, Yongjian Yang, Fuzhen Zhuang, Hui Xiong:
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. CoRR abs/2311.05864 (2023) - 2022
- [j65]Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni:
Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. 38(16): 3976-3983 (2022) - [j64]Lishan Zhang, Yuwei Huang, Xi Yang, Shengquan Yu, Fuzhen Zhuang:
An automatic short-answer grading model for semi-open-ended questions. Interact. Learn. Environ. 30(1): 177-190 (2022) - [j63]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j62]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j61]Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li:
EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. 237: 107909 (2022) - [j60]Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren:
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. IEEE J. Biomed. Health Informatics 26(3): 939-951 (2022) - [j59]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [j58]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Trans. Knowl. Data Eng. 34(2): 640-652 (2022) - [j57]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j56]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [j55]Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong:
Detect Professional Malicious User With Metric Learning in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(9): 4133-4146 (2022) - [c135]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022: 4345-4353 - [c134]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c133]Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi:
Knowledge-Aware Topological Networks for Recommendation. CCKS 2022: 189-201 - [c132]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM 2022: 572-581 - [c131]Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538 - [c130]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING 2022: 7013-7019 - [c129]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c128]Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang:
Exploiting Global and Local Hierarchies for Hierarchical Text Classification. EMNLP 2022: 4030-4039 - [c127]Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP 2022: 8826-8837 - [c126]Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang:
Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP 2022: 8332-8336 - [c125]Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun:
Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. ICDM 2022: 891-896 - [c124]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI 2022: 2248-2254 - [c123]Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang:
A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD 2022: 3318-3326 - [c122]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [c121]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022: 223-233 - [c120]Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR 2022: 2120-2125 - [c119]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c118]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM 2022: 1507-1515 - [c117]Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li:
EvidenceNet: Evidence Fusion Network for Fact Verification. WWW 2022: 2636-2645 - [i59]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i58]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR abs/2201.01002 (2022) - [i57]Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. CoRR abs/2201.01003 (2022) - [i56]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR abs/2201.01004 (2022) - [i55]Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. CoRR abs/2201.04337 (2022) - [i54]Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou:
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR abs/2201.04965 (2022) - [i53]Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR abs/2202.03874 (2022) - [i52]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR abs/2203.10576 (2022) - [i51]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR abs/2204.09263 (2022) - [i50]Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR abs/2204.09484 (2022) - [i49]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR abs/2205.00904 (2022) - [i48]Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang:
Exploiting Global and Local Hierarchies for Hierarchical Text Classification. CoRR abs/2205.02613 (2022) - [i47]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. CoRR abs/2205.04682 (2022) - [i46]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompts for Sequential Recommendation. CoRR abs/2205.09666 (2022) - [i45]Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong:
Detect Professional Malicious User with Metric Learning in Recommender Systems. CoRR abs/2205.09673 (2022) - [i44]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Joint Abductive and Inductive Neural Logical Reasoning. CoRR abs/2205.14591 (2022) - [i43]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR abs/2206.12808 (2022) - [i42]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. CoRR abs/2207.00814 (2022) - [i41]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR abs/2208.11283 (2022) - [i40]Ting Jiang, Deqing Wang, Fuzhen Zhuang:
Pruning Pre-trained Language Models Without Fine-Tuning. CoRR abs/2210.06210 (2022) - [i39]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR abs/2211.10615 (2022) - [i38]Ziming Wan, Deqing Wang, Xuehua Ming, Fuzhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao:
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. CoRR abs/2211.11752 (2022) - 2021
- [j54]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j53]Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z. Chen, Jian Wu:
A semi-supervised deep convolutional framework for signet ring cell detection. Neurocomputing 453: 347-356 (2021) - [j52]Xiaowei Zhao, Deqing Wang, Zhengyang Zhao, Wei Liu, Chenwei Lu, Fuzhen Zhuang:
A neural topic model with word vectors and entity vectors for short texts. Inf. Process. Manag. 58(2): 102455 (2021) - [j51]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [j50]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109(1): 43-76 (2021) - [j49]Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33(7): 2903-2913 (2021) - [j48]Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang:
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 736-747 (2021) - [j47]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1713-1722 (2021) - [c116]Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. AAAI 2021: 320-327 - [c115]Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. AAAI 2021: 4723-4731 - [c114]Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. AAAI 2021: 7987-7994 - [c113]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI 2021: 14957-14965 - [c112]Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu:
Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) 2021: 1341-1351 - [c111]Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM 2021: 3498-3502 - [c110]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c109]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [c108]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c107]Yuhong Zhang, Mingxuan Du, Fuzhen Zhuang, Yuxi Jin, Yuhui Ma, Hongbo Zhang:
Joint alignment and compactness learning for multi-source unsupervised domain adaptation. ICMV 2021: 120841E - [c106]Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye:
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) 2021: 40-50 - [c105]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c104]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [c103]Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen:
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. KDD 2021: 3745-3755 - [c102]Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong:
Talent Demand Forecasting with Attentive Neural Sequential Model. KDD 2021: 3906-3916 - [c101]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD 2021: 4005-4013 - [c100]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c99]Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song:
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. ECML/PKDD (2) 2021: 335-350 - [c98]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [c97]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR 2021: 1167-1176 - [c96]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR 2021: 1813-1817 - [c95]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021: 3827-3838 - [i37]Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. CoRR abs/2101.03305 (2021) - [i36]Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. CoRR abs/2101.06954 (2021) - [i35]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR abs/2101.11354 (2021) - [i34]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR abs/2105.04785 (2021) - [i33]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR abs/2105.04790 (2021) - [i32]Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen:
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. CoRR abs/2105.08489 (2021) - [i31]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR abs/2105.14688 (2021) - [i30]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - [i29]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. CoRR abs/2106.09388 (2021) - [i28]Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang:
Improving Non-autoregressive Generation with Mixup Training. CoRR abs/2110.11115 (2021) - [i27]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR abs/2110.11154 (2021) - [i26]Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. CoRR abs/2111.01910 (2021) - [i25]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - [i24]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i23]Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR abs/2112.13078 (2021) - [i22]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR abs/2112.13510 (2021) - [i21]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR abs/2112.15285 (2021) - [i20]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR abs/2112.15290 (2021) - [i19]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR abs/2112.15292 (2021) - 2020
- [j46]Jingjing Gu, Cheng Liu, Yi Zhuang, Xiaojiang Du, Fuzhen Zhuang, Haochao Ying, Yanchao Zhao, Mohsen Guizani:
Dynamic Measurement and Data Calibration for Aerial Mobile IoT. IEEE Internet Things J. 7(6): 5210-5219 (2020) - [j45]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. 93: 101364 (2020) - [j44]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j43]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109(2): 219-249 (2020) - [j42]Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang:
Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks 131: 312-323 (2020) - [j41]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [j40]Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang:
Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. 50(11): 4709-4721 (2020) - [j39]Xiaoyi Deng, Yenchun Jim Wu, Fuzhen Zhuang:
Trust-embedded collaborative deep generative model for social recommendation. J. Supercomput. 76(11): 8801-8829 (2020) - [j38]Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong:
Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. ACM Trans. Knowl. Discov. Data 14(4): 50:1-50:25 (2020) - [j37]Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo:
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 31(3): 737-748 (2020) - [c94]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619 - [c93]Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - [c92]Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang:
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) 2020: 386-402 - [c91]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c90]Tianzhu Chen, Fenghua Li, Fuzhen Zhuang, Yunchuan Guo, Liang Fang:
The Linear Geometry Structure of Label Matrix for Multi-label Learning. DEXA (2) 2020: 229-244 - [c89]Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020: 529-536 - [c88]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c87]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597 - [c86]Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong:
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. KDD 2020: 3346-3355 - [c85]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR 2020: 1893-1896 - [c84]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW 2020: 928-938 - [c83]Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020: 2768-2774 - [c82]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW 2020: 3133-3139 - [i18]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i17]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. CoRR abs/2004.05774 (2020) - [i16]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020) - [i15]Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong:
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. CoRR abs/2007.14767 (2020) - [i14]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR abs/2008.05600 (2020) - [i13]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020)
2010 – 2019
- 2019
- [j36]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j35]Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong:
Knowledge triple mining via multi-task learning. Inf. Syst. 80: 64-75 (2019) - [j34]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. 81: 178 (2019) - [j33]Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He:
Supervised representation learning for multi-label classification. Mach. Learn. 108(5): 747-763 (2019) - [j32]Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu:
Neural variational collaborative filtering with side information for top-K recommendation. Int. J. Mach. Learn. Cybern. 10(11): 3273-3284 (2019) - [j31]Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong:
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. Neural Networks 111: 77-88 (2019) - [j30]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019) - [j29]Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He:
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90: 271-284 (2019) - [c81]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465 - [c80]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI 2019: 5877-5884 - [c79]Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI 2019: 5989-5996 - [c78]Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang:
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. ACML 2019: 1049-1064 - [c77]Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong:
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM 2019: 718-727 - [c76]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI 2019: 3940-3946 - [c75]Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo:
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. IJCAI 2019: 4157-4163 - [c74]Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong:
Multiple Relational Attention Network for Multi-task Learning. KDD 2019: 1123-1131 - [c73]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633 - [c72]Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong:
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019: 2165-2173 - [c71]Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu:
Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. ACM Multimedia 2019: 1401-1409 - [c70]Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He:
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) 2019: 110-122 - [c69]Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu:
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) 2019: 160-171 - [c68]Xiaoyi Deng, Fuzhen Zhuang:
Neural Variational Collaborative Filtering for Top-K Recommendation. PAKDD (Workshops) 2019: 352-364 - [c67]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - [i12]Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR abs/1905.13030 (2019) - [i11]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR abs/1910.04420 (2019) - [i10]Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR abs/1910.05250 (2019) - [i9]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. CoRR abs/1911.02685 (2019) - [i8]Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He:
Transfer Learning Toolkit: Primers and Benchmarks. CoRR abs/1911.08967 (2019) - 2018
- [j28]Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi:
Coupled matrix factorization and topic modeling for aspect mining. Inf. Process. Manag. 54(6): 861-873 (2018) - [j27]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) - [j26]Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong:
RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. 436-437: 13-30 (2018) - [j25]Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. 9(12): 1987-1998 (2018) - [j24]Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108: 287-295 (2018) - [j23]Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He:
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. 48(8): 2284-2293 (2018) - [j22]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [j21]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30(3): 530-543 (2018) - [c66]Xi Yang, Yuwei Huang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Short Answer Grading with Deep Autoencoder. AIED (2) 2018: 399-404 - [c65]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c64]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207 - [c63]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM 2018: 187-196 - [c62]Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018: 1001-1006 - [c61]Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong:
Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. ICDM 2018: 1356-1361 - [c60]Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong:
An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. ICDM 2018: 1386-1391 - [c59]Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu:
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI 2018: 3125-3131 - [c58]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [c57]Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018: 2269-2278 - [c56]Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. PAKDD (1) 2018: 118-129 - [c55]Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018: 909-912 - [i7]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. CoRR abs/1802.04162 (2018) - [i6]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Cross-domain novelty seeking trait mining for sequential recommendation. CoRR abs/1803.01542 (2018) - [i5]Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu:
The Automatic Identification of Butterfly Species. CoRR abs/1803.06626 (2018) - [i4]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR abs/1809.05820 (2018) - 2017
- [j20]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Recommendation in heterogeneous information network via dual similarity regularization. Int. J. Data Sci. Anal. 3(1): 35-48 (2017) - [j19]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - [c54]Jing Zheng, Fuzhen Zhuang, Chuan Shi:
Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017: 2431-2434 - [c53]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 - [c52]Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI 2017: 1830-1836 - [c51]Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He:
Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM 2017: 483-494 - [c50]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [c49]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017: 881-882 - 2016
- [j18]Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He:
Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. 20(5): 1085-1099 (2016) - [j17]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. 49(3): 835-859 (2016) - [c48]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo:
Expenditure aware rating prediction for recommendation. IEEE BigData 2016: 1018-1025 - [c47]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c46]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI 2016: 1555-1561 - [c45]Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang:
Tag correlation and user social relation based microblog recommendation. IJCNN 2016: 2424-2430 - [c44]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Dual Similarity Regularization for Recommendation. PAKDD (2) 2016: 542-554 - [c43]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016: 148-164 - [c42]Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu:
Aspect Mining with Rating Bias. ECML/PKDD (2) 2016: 458-474 - [i3]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu:
Expenditure Aware Rating Prediction for Recommendation. CoRR abs/1610.05464 (2016) - [i2]Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He:
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR abs/1611.00484 (2016) - 2015
- [j16]Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. 258: 117-133 (2015) - [j15]Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015) - [j14]Shuhui Wang, Fuzhen Zhuang, Shuqiang Jiang, Qingming Huang, Qi Tian:
Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval. Neurocomputing 168: 747-760 (2015) - [j13]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi:
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51(1): 25-41 (2015) - [c41]Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi:
Bayesian Maximum Margin Principal Component Analysis. AAAI 2015: 2582-2588 - [c40]Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He:
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122 - [c39]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He:
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850 - [c38]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Online Frequent Episode Mining. ICDE 2015: 891-902 - [c37]Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He:
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015: 1141-1146 - [c36]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [c35]Tianshu Feng, Fuzhen Zhuang, Qing He:
Improving ESVM with Generalized Cross-Validation. IJCNN 2015: 1-8 - [c34]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953 - [i1]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. CoRR abs/1511.03759 (2015) - 2014
- [j12]Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi:
Clustering in extreme learning machine feature space. Neurocomputing 128: 88-95 (2014) - [j11]Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257: 101-114 (2014) - [j10]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong:
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. 44(7): 1191-1203 (2014) - [c33]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450 - [c32]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He:
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014: 255-260 - [c31]Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi:
Parallel feature selection using positive approximation based on MapReduce. FSKD 2014: 397-402 - [c30]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi:
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM 2014: 380-389 - [c29]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) 2014: 65-77 - [c28]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014: 417-431 - [c27]Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi:
Scalable bootstrap clustering for massive data. SNPD 2014: 1-6 - [c26]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014: 217-218 - 2013
- [j9]Xin Jin, Yongquan Liang, Dongping Tian, Fuzhen Zhuang:
Particle swarm optimization using dimension selection methods. Appl. Math. Comput. 219(10): 5185-5197 (2013) - [j8]Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel extreme learning machine for regression based on MapReduce. Neurocomputing 102: 52-58 (2013) - [j7]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. 46: 33-42 (2013) - [c25]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013: 384-391 - [c24]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c23]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN 2013: 1-8 - [c22]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - [c21]Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi:
Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013: 353-368 - [c20]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi:
Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013: 425-434 - 2012
- [j6]Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi:
Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. 199: 20-30 (2012) - [j5]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2025-2039 (2012) - [j4]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. 24(12): 2301 (2012) - [c19]Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
TINAC: A fast and effective web video topic detection framework. FSKD 2012: 1252-1256 - [c18]Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012: 191-200 - [c17]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012: 215-219 - [c16]Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012: 16-27 - [c15]Zhongzhi Shi, Bo Zhang, Fuzhen Zhuang:
Improving Transfer Learning by Introspective Reasoner. Intelligent Information Processing 2012: 28-39 - [c14]Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012: 40-49 - [c13]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) 2012: 628-637 - [c12]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012: 392-404 - 2011
- [j3]Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
A parallel incremental extreme SVM classifier. Neurocomputing 74(16): 2532-2540 (2011) - [j2]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. 4(1): 100-114 (2011) - [c11]Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011: 75-80 - [c10]Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401 - 2010
- [j1]Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi:
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22(12): 1664-1678 (2010) - [c9]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Leveraging Entropy and Relevance for Summarization. AIRS 2010: 241-250 - [c8]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010: 359-368 - [c7]Tingting Li, Fuzhen Zhuang, Qing He:
A noise handling method for hyper surface classification. FSKD 2010: 1484-1488 - [c6]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi:
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010: 709-718 - [c5]Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi:
Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010: 404-412 - [c4]Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi:
Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010: 655-662 - [c3]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010: 13-24
2000 – 2009
- 2008
- [c2]Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He:
Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112 - [c1]Qing He, Fuzhen Zhuang, Zhongzhi Shi:
The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) 2008: 384-388
Coauthor Index
[j85] [j77] [j74] [j73] [c152] [c139] [c138] [i70] [j63] [j62] [j56] [c135] [c134] [c131] [c129] [c122] [c121] [c119] [c118] [i59] [i58] [i56] [i52] [i51] [i47] [i46] [i42] [j51] [j50] [j49] [j47] [c113] [c111] [c110] [c106] [c105] [c100] [c98] [c96] [c95] [i35] [i34] [i30] [i29] [i27] [i25] [i22] [i21] [i20] [i19] [j45] [j44] [j43] [j41] [c94] [c93] [c89] [c88] [c85] [c84] [c82] [i18] [i16] [i14] [j36] [j35] [j34] [j33] [j30] [j29] [c81] [c73] [c70] [c67] [i11] [i10] [i9] [i8] [j27] [j25] [j24] [j23] [j22] [j21] [c65] [c64] [c62] [c57] [c55] [i7] [i6] [j19] [c53] [c52] [c51] [c50] [c49] [j18] [c47] [c46] [c43] [j16] [j15] [j13] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [j12] [j11] [j10] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [j8] [j7] [c25] [c24] [c23] [c22] [c21] [c20] [j6] [j5] [j4] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [j3] [j2] [c11] [c10] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j89] [j86] [j84] [c174] [c172] [c171] [c169] [c159] [c156] [i88] [i83] [i78] [i77] [i75] [j70] [c155] [c154] [c151] [c148] [c147] [c140] [c136] [i74] [i69] [i68] [i66] [i65] [i64] [i63] [j65] [c132] [c128] [c127] [c126] [i57] [i55] [i48] [i40] [i39] [i38] [j54] [j52] [j48] [c114] [i37] [i28] [j40] [c91] [c88] [c87] [c79] [c65] [c63] [i4]
[j89] [j83] [j79] [c170] [c161] [c160] [i85] [i81] [j75] [j74] [j73] [j70] [j67] [c152] [c150] [c140] [i69] [i60] [j59] [j58] [j56] [j55] [c122] [i45] [i42] [j51] [j50] [j47] [c116] [c104] [c102] [c100] [c95] [i29] [i25] [i24] [i21] [j44] [j38] [c94] [c86] [c83] [i18] [i17] [i15] [i13] [j35] [j31] [c81] [c77] [c74] [c73] [c72] [c71] [i12] [i9] [c61] [c60] [c59] [c58] [c47] [c37] [j10] [c33] [j5] [j4] [j2] [j1] [c8] [c3] [c2]
[j85] [j81] [c171] [c163] [i80] [j77] [j71] [c149] [c139] [c136] [i70] [i67] [j63] [c129] [c124] [c122] [c121] [c120] [c119] [c118] [i58] [i57] [i56] [i52] [i51] [i50] [i49] [i47] [i46] [i43] [i42] [j50] [j47] [c113] [c103] [c101] [c97] [c96] [i35] [i34] [i33] [i32] [i31] [i29] [i27] [i19] [c85] [c84] [i16] [i14] [j30] [c79] [c70] [i9] [i8]
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