Price-aware Recommendation with Graph Convolutional Networks. - Yu Zheng 010; Chen Gao 001; Xiangnan He 001; Yong Li 008; Depeng Jin (ICDE, 2020)

Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. - Yu Zheng 010; Chen Gao 001; Xiang Li 067; Xiangnan He 001; Yong Li 008; Depeng Jin (CoRR, 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)

DGCN: Diversified Recommendation with Graph Convolutional Networks. - Yu Zheng 010; Chen Gao 001; Liang Chen 001; Depeng Jin; Yong Li 008 (WWW, 2021)

Disentangling User Interest and Conformity for Recommendation with Causal Embedding. - Yu Zheng 010; Chen Gao 001; Xiang Li 067; Xiangnan He 001; Yong Li 008; Depeng Jin (WWW, 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)

Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. - Jinghua Piao; Guozhen Zhang; Fengli Xu; Zhilong Chen; Yu Zheng 010; Chen Gao 001; Yong Li 008 (Proc. ACM Hum. Comput. Interact., 2021)

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. - Yu Zheng 010; Chen Gao 001; Jingtao Ding; Lingling Yi; Depeng Jin; Yong Li 008; Meng Wang 001 (ACM Multimedia, 2022)

Dual Contrastive Network for Sequential Recommendation. - Guanyu Lin; Chen Gao 001; Yinfeng Li; Yu Zheng 010; Zhiheng Li 001; Depeng Jin; Yong Li 008 (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)

Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. - Guanyu Lin; Chen Gao 001; Yinfeng Li; Yu Zheng 010; Zhiheng Li 001; Depeng Jin; Yong Li 008 (CoRR, 2022)

Road Planning for Slums via Deep Reinforcement Learning. - Yu Zheng 010; Hongyuan Su; Jingtao Ding; Depeng Jin; Yong Li 008 (KDD, 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)

Spatial planning of urban communities via deep reinforcement learning. - Yu Zheng 010; Yuming Lin 003; Liang Zhao; Tinghai Wu; Depeng Jin; Yong Li 008 (Nat. Comput. Sci., 2023)

Incorporating Price into Recommendation With Graph Convolutional Networks. - Yu Zheng 010; 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)

Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 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)

MetroGNN: Metro Network Expansion with Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW (Companion Volume), 2024)

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW (Companion Volume), 2024)

Artificial Intelligence for Complex Network: Potential, Methodology and Application. - Jingtao Ding; Chang Liu 092; Yu Zheng 010; Yunke Zhang; Zihan Yu; Ruikun Li 002; Hongyi Chen; Jinghua Piao; Huandong Wang; Jiazhen Liu; Yong Li 008 (CoRR, 2024)

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. - Xingchen Zou; Yibo Yan; Xixuan Hao; Yuehong Hu; Haomin Wen; Erdong Liu; Junbo Zhang; Yong Li 008; Tianrui Li 001; Yu Zheng 010; Yuxuan Liang (CoRR, 2024)

Causal Inference in Recommender Systems: A Survey and Future Directions. - Chen Gao 001; Yu Zheng 010; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

Artificial Intelligence for Complex Network: Potential, Methodology and Application. - Jingtao Ding; Yu Zheng 010; Huandong Wang; Carlo Vittorio Cannistraci; Jianxi Gao; Yong Li 008; Chuan Shi 001 (WWW (Companion Volume), 2025)

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models. - Yu Zheng 010; Longyi Liu; Yuming Lin 003; Jie Feng 002; Guozhen Zhang; Depeng Jin; Yong Li 008 (CoRR, 2025)

A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare. - Yu Zheng 010; Qianyue Hao; Jingwei Wang 002; Changzheng Gao; Jinwei Chen; Depeng Jin; Yong Li 008 (ACM Comput. Surv., 2025)

Advancing network resilience theories with symbolized reinforcement learning. - Yu Zheng 010; Jingtao Ding; Depeng Jin; Jianxi Gao; Yong Li 008 (CoRR, 2025)