Bundle Recommendation with Graph Convolutional Networks. - Jianxin Chang; Chen Gao 001; Xiangnan He 001; Depeng Jin; Yong Li 008 (SIGIR, 2020)

Sequential Recommendation with Graph Neural Networks. - Jianxin Chang; Chen Gao 001; Yu Zheng 010; Yiqun Hui; Yanan Niu; Yang Song 008; Depeng Jin; Yong Li 008 (SIGIR, 2021)

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. - Chen Gao 001; Yu Zheng 010; Nian Li; Yinfeng Li; Yingrong Qin; Jinghua Piao; Yuhan Quan; Jianxin Chang; Depeng Jin; Xiangnan He 001; Yong Li 008 (CoRR, 2021)

When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. - Yu Tian; Jianxin Chang; Yanan Niu; Yang Song 008; Chenliang Li (SIGIR, 2022)

Disentangling Long and Short-Term Interests for Recommendation. - Yu Zheng 010; Chen Gao 001; Jianxin Chang; Yanan Niu; Yang Song 008; Depeng Jin; Yong Li 008 (WWW, 2022)

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. - Yunzhu Pan; Nian Li; Chen Gao 001; Jianxin Chang; Yanan Niu; Yang Song 008; Depeng Jin; Yong Li 008 (CIKM, 2023)

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. - Yang Zhang 072; Yimeng Bai; Jianxin Chang; Xiaoxue Zang; Song Lu 003; Jing Lu; Fuli Feng; Yanan Niu; Yang Song 008 (CIKM, 2023)

TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. - Jianxin Chang; Chenbin Zhang; Zhiyi Fu; Xiaoxue Zang; Lin Guan 005; Jing Lu; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. - Jianxin Chang; Chenbin Zhang; Yiqun Hui; Dewei Leng; Yanan Niu; Yang Song 008; Kun Gai (KDD, 2023)

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. - Yunzhu Pan; Chen Gao 001; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Depeng Jin; Yong Li 008 (RecSys, 2023)

Dual-interest Factorization-heads Attention for Sequential Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Jianxin Chang; Yanan Niu; Yang Song 008; Zhiheng Li 001; Depeng Jin; Yong Li 008 (WWW, 2023)

Bundle Recommendation and Generation With Graph Neural Networks. - Jianxin Chang; Chen Gao 001; Xiangnan He 001; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2023)

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. - Chen Gao 001; Yu Zheng 010; Nian Li; Yinfeng Li; Yingrong Qin; Jinghua Piao; Yuhan Quan; Jianxin Chang; Depeng Jin; Xiangnan He 001; Yong Li 008 (Trans. Recomm. Syst., 2023)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. - Yimeng Bai; Yang Zhang 072; Jing Lu; Jianxin Chang; Xiaoxue Zang; Yanan Niu; Yang Song 008; Fuli Feng (WSDM, 2024)

Mixed Attention Network for Cross-domain Sequential Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Zhiheng Li 001; Depeng Jin; Yong Li 008; Meng Wang 001 (WSDM, 2024)

Inverse Learning with Extremely Sparse Feedback for Recommendation. - Guanyu Lin; Chen Gao 001; Yu Zheng 010; Yinfeng Li; Jianxin Chang; Yanan Niu; Yang Song 008; Kun Gai; Zhiheng Li 001; Depeng Jin; Yong Li 008 (WSDM, 2024)