A Unified Framework for Community Detection and Network Representation Learning. - Cunchao Tu; Xiangkai Zeng; Hao Wang 214; Zhengyan Zhang; Zhiyuan Liu 001; Maosong Sun 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Knowl. Data Eng., 2019)

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. - Qi Liu 050; Ruobing Xie; Lei Chen; Shukai Liu; Ke Tu; Peng Cui 001; Bo Zhang 056; Leyu Lin (CIKM, 2020)

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. - Ruobing Xie; Zhijie Qiu; Jun Rao; Yi Liu; Bo Zhang 056; Leyu Lin (IJCAI, 2020)

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. - Wen Wang 016; Wei Zhang 056; Jun Rao; Zhijie Qiu; Bo Zhang 056; Leyu Lin; Hongyuan Zha (SIGIR, 2020)

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. - Wen Wang 016; Wei Zhang 056; Shukai Liu; Qi Liu 050; Bo Zhang 056; Leyu Lin; Hongyuan Zha (WWW, 2020)

A Simple and General Graph Neural Network with Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Bo Zhang 056; Wei Cui; Wenwu Zhu 001 (CoRR, 2020)

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. - Haomin Yu; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (ECML/PKDD (5), 2021)

Meaningful Adversarial Stickers for Face Recognition in Physical World. - Ying Guo 008; Xingxing Wei 001; Guoqiu Wang; Bo Zhang 056 (CoRR, 2021)

Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation. - Shiji Zhao; Jie Yu 026; Zhenlong Sun; Bo Zhang 056; Xingxing Wei 001 (ECCV (4), 2022)

Contrastive Cross-domain Recommendation in Matching. - Ruobing Xie; Qi Liu 050; Liangdong Wang; Shukai Liu; Bo Zhang 056; Leyu Lin (KDD, 2022)

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (CoRR, 2022)

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. - Ruobing Xie; Qi Liu 050; Shukai Liu; Ziwei Zhang 001; Peng Cui 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Big Data, 2022)

COSINE: Compressive Network Embedding on Large-Scale Information Networks. - Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001; Zhichong Fang; Bo Zhang 056; Leyu Lin (IEEE Trans. Knowl. Data Eng., 2022)

Multi-granularity Item-Based Contrastive Recommendation. - Ruobing Xie; Zhijie Qiu; Bo Zhang 056; Leyu Lin (DASFAA (2), 2023)

Better Pre-Training by Reducing Representation Confusion. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (EACL (Findings), 2023)

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. - Wen Wang 016; Wei Zhang 056; Shukai Liu; Qi Liu 050; Bo Zhang 056; Leyu Lin; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2023)

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. - Ziwei Zhang 001; Chenhao Niu; Peng Cui 001; Jian Pei 001; Bo Zhang 056; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Simultaneously Optimizing Perturbations and Positions for Black-Box Adversarial Patch Attacks. - Xingxing Wei 001; Ying Guo 008; Jie Yu 026; Bo Zhang 056 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Group-based social diffusion in recommendation. - Xumin Chen; Ruobing Xie; Zhijie Qiu; Peng Cui 001; Ziwei Zhang 001; Shukai Liu; Shiqiang Yang; Bo Zhang 056; Leyu Lin (World Wide Web (WWW), 2023)

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. - Jianxing Yu; Shiqi Wang 016; Han Yin; Zhenlong Sun; Ruobing Xie; Bo Zhang 056; Yanghui Rao (EMNLP, 2024)

Towards Empathetic Conversational Recommender Systems. - Xiaoyu Zhang; Ruobing Xie; Yougang Lyu; Xin Xin 003; Pengjie Ren; Mingfei Liang; Bo Zhang 056; Zhanhui Kang; Maarten de Rijke; Zhaochun Ren (RecSys, 2024)