Enhancing the Network Embedding Quality with Structural Similarity. - Tianshu Lyu; Yuan Zhang 024; Yan Zhang 004 (CIKM, 2017)

Hierarchical Community-Level Information Diffusion Modeling in Social Networks. - Yuan Zhang 024; Tianshu Lyu; Yan Zhang 004 (SIGIR, 2017)

COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. - Yuan Zhang 024; Tianshu Lyu; Yan Zhang 004 (AAAI, 2018)

Neural IR Meets Graph Embedding: A Ranking Model for Product Search. - Yuan Zhang 024; Dong Wang; Yan Zhang 004 (WWW, 2019)

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. - Dong Wang; Yuan Zhang 024; Kexin Zhang; Liwei Wang 001 (CVPR, 2020)

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. - Yuan Zhang 024; Xiaoran Xu; Hanning Zhou; Yan Zhang 004 (WSDM, 2020)

Graph-based Regularization on Embedding Layers for Recommendation. - Yuan Zhang 024; Fei Sun 001; Xiaoyong Yang; Chen Xu; Wenwu Ou; Yan Zhang 004 (ACM Trans. Inf. Syst., 2020)

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs. - Meiqi Chen 001; Yuan Zhang 024; Xiaoyu Kou; Yuntao Li; Yan Zhang 004 (CoRR, 2021)

Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (CoRR, 2021)

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. - Chongming Gao; Shijun Li 002; Yuan Zhang 024; Jiawei Chen 007; Biao Li; Wenqiang Lei; Peng Jiang 002; Xiangnan He 001 (CIKM, 2022)

Real-time Short Video Recommendation on Mobile Devices. - Xudong Gong; Qinlin Feng; Yuan Zhang 024; Jiangling Qin; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (CIKM, 2022)

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (WSDM, 2022)

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. - Meng Ai; Biao Li; Heyang Gong; Qingwei Yu; Shengjie Xue; Yuan Zhang 024; Yunzhou Zhang; Peng Jiang 002 (WWW, 2022)

Real-time Short Video Recommendation on Mobile Devices. - Xudong Gong; Qinlin Feng; Yuan Zhang 024; Jiangling Qin; Weijie Ding; Biao Li; Peng Jiang 002 (CoRR, 2022)

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. - Chongming Gao; Kexin Huang; Jiawei Chen 007; Yuan Zhang 024; Biao Li; Peng Jiang 002; Shiqi Wang 018; Zhong Zhang 004; Xiangnan He 001 (SIGIR, 2023)

Measuring Item Global Residual Value for Fair Recommendation. - Jiayin Wang; Weizhi Ma; Chumeng Jiang; Min Zhang 006; Yuan Zhang 024; Biao Li; Peng Jiang 002 (SIGIR, 2023)

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. - Yuan Zhang 024; Xue Dong; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. - Tianyu Zhu; Yansong Shi; Yuan Zhang 024; Yihong Wu; Fengran Mo; Jian-Yun Nie (WSDM, 2024)

Intersectional Two-sided Fairness in Recommendation. - Yifan Wang 017; Peijie Sun; Weizhi Ma; Min Zhang 006; Yuan Zhang 024; Peng Jiang 002; Shaoping Ma (WWW, 2024)

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. - Chongming Gao; Shiqi Wang 018; Shijun Li 002; Jiawei Chen 007; Xiangnan He 001; Wenqiang Lei; Biao Li; Yuan Zhang 024; Peng Jiang 002 (ACM Trans. Inf. Syst., 2024)