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

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. - Zirui Zhu 002; Chen Gao 001; Xu Chen 017; Nian Li 001; Depeng Jin; Yong Li 008 (CoRR, 2021)

An Exploratory Study of Information Cocoon on Short-form Video Platform. - Nian Li 001; Chen Gao 001; Jinghua Piao; Xin Huang; Aizhen Yue; Liang Zhou; Qingmin Liao; Yong Li 008 (CIKM, 2022)

Social Recommendation With Characterized Regularization. - Chen Gao 001; Nian Li 001; Tzu-Heng Lin; Dongsheng Lin; Jun Zhang 087; Yong Li 008; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2022)

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

Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. - Nian Li 001; Chen Gao 001; Yong Li 008; Qingmin Liao (CoRR, 2023)

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. - Chen Gao 001; Xiaochong Lan; Nian Li 001; Yuan Yuan 032; Jingtao Ding; Zhilun Zhou; Fengli Xu; Yong Li 008 (CoRR, 2023)

Cross-Platform Item Recommendation for Online Social E-Commerce. - Chen Gao 001; Tzu-Heng Lin; Nian Li 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 001; Yinfeng Li; Yingrong Qin; Jinghua Piao; Yuhan Quan; Jianxin Chang; Depeng Jin; Xiangnan He 001; Yong Li 008 (Trans. Recomm. Syst., 2023)

Disentangled Modeling of Social Homophily and Influence for Social Recommendation. - Nian Li 001; Chen Gao 001; Depeng Jin; Qingmin Liao (IEEE Trans. Knowl. Data Eng., 2023)

EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. - Nian Li 001; Chen Gao 001; Mingyu Li; Yong Li 008; Qingmin Liao (ACL (1), 2024)

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network. - Lin Chen 002; Fengli Xu; Nian Li 001; Zhenyu Han; Meng Wang 001; Yong Li 008; Pan Hui 001 (KDD, 2024)

Modeling User Fatigue for Sequential Recommendation. - Nian Li 001; Xin Ban; Cheng Ling; Chen Gao 001; Lantao Hu; Peng Jiang 002; Kun Gai; Yong Li 008; Qingmin Liao (SIGIR, 2024)

Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. - Nian Li 001; Yunzhu Pan; Chen Gao 001; Depeng Jin; Qingmin Liao (WWW, 2024)

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. - Nicholas Sukiennik; Chen Gao 001; Nian Li 001 (WWW, 2024)

Understanding World or Predicting Future? A Comprehensive Survey of World Models. - Jingtao Ding; Yunke Zhang; Yu Shang; Yuheng Zhang; Zefang Zong; Jie Feng 002; Yuan Yuan 032; Hongyuan Su; Nian Li 001; Nicholas Sukiennik; Fengli Xu; Yong Li 008 (CoRR, 2024)

Human Behavior Simulation: Objectives, Methodologies, and Open Problems. - Guozhen Zhang; Zihan Yu; Nian Li 001; Fudan Yu; Qingyue Long; Depeng Jin; Yong Li 008 (CoRR, 2024)

Alleviating Video-length Effect for Micro-video Recommendation. - Yuhan Quan; Jingtao Ding; Chen Gao 001; Nian Li 001; Lingling Yi; Depeng Jin; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform. - Yu Shang; Chen Gao 001; Nian Li 001; Yong Li 008 (WWW (Companion Volume), 2025)

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society. - Jinghua Piao; Yuwei Yan; Jun Zhang 087; Nian Li 001; Junbo Yan; Xiaochong Lan; Zhihong Lu; Zhiheng Zheng; Jing Yi Wang; Di Zhou; Chen Gao 001; Fengli Xu; et al. (CoRR, 2025)

AI Agent Behavioral Science. - Lin Chen 002; Yunke Zhang; Jie Feng 002; Haoye Chai; Honglin Zhang; Bingbing Fan; Yibo Ma; Shiyuan Zhang; Nian Li 001; Tianhui Liu; Nicholas Sukiennik; Keyu Zhao; et al. (CoRR, 2025)