From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. - Huandong Wang; Chen Gao 001; Yong Li 008; Zhi-Li Zhang; Depeng Jin (CIKM, 2017)

Recommender Systems with Characterized Social Regularization. - Tzu-Heng Lin; Chen Gao 001; Yong Li 008 (CIKM, 2018)

De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice. - Huandong Wang; Chen Gao 001; Yong Li 008; Gang Wang 011; Depeng Jin; Jingbo Sun (NDSS, 2018)

Learning Recommender Systems from Multi-Behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (CoRR, 2018)

Neural Multi-task Recommendation from Multi-behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (ICDE, 2019)

DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. - Huan Yan; Xiangning Chen; Chen Gao 001; Yong Li 008; Depeng Jin (IJCAI, 2019)

Social Weak-tie Assisted Cross-domain Short Video Recommendation. - Xichen Wang; Chen Gao 001; Jingtao Ding; Long Hu; Ying Hu; Yong Li 008; Depeng Jin (IWCMC, 2019)

λOpt: Learn to Regularize Recommender Models in Finer Levels. - Yihong Chen; Bei Chen; Xiangnan He 001; Chen Gao 001; Yong Li 008; Jian-Guang Lou; Yue Wang 007 (KDD, 2019)

CROSS: Cross-platform Recommendation for Social E-Commerce. - Tzu-Heng Lin; Chen Gao 001; Yong Li 008 (SIGIR, 2019)

Cross-domain Recommendation Without Sharing User-relevant Data. - Chen Gao 001; Xiangning Chen; Fuli Feng; Kai Zhao; Xiangnan He 001; Yong Li 008; Depeng Jin (WWW, 2019)

CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. - Xichen Wang; Chen Gao 001; Jingtao Ding; Yong Li 008; Depeng Jin (IEEE Access, 2019)

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. - Yihong Chen; Bei Chen; Xiangnan He 001; Chen Gao 001; Yong Li 008; Jian-Guang Lou; Yue Wang 007 (CoRR, 2019)

Privacy-preserving Cross-domain Location Recommendation. - Chen Gao 001; Chao Huang; Yue Yu; Huandong Wang; Yong Li 008; Depeng Jin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

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

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. - Rishabh Mehrotra; Ben Carterette; Yong Li 008; Quanming Yao; Chen Gao 001; James T. Kwok; Qiang Yang 001; Isabelle Guyon (KDD, 2020)

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

DPLCF: Differentially Private Local Collaborative Filtering. - Chen Gao 001; Chao Huang; Dongsheng Lin; Depeng Jin; Yong Li 008 (SIGIR, 2020)

Multi-behavior Recommendation with Graph Convolutional Networks. - Bowen Jin; Chen Gao 001; Xiangnan He 001; Depeng Jin; Yong Li 008 (SIGIR, 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)

Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. - Huandong Wang; Chen Gao 001; Yong Li 008; Zhi-Li Zhang; Depeng Jin (IEEE Trans. Netw. Serv. Manag., 2020)

Group-Buying Recommendation for Social E-Commerce. - Jun Zhang 087; Chen Gao 001; Depeng Jin; Yong Li 008 (ICDE, 2021)

Learnable Embedding sizes for Recommender Systems. - Siyi Liu; Chen Gao 001; Yihong Chen; Depeng Jin; Yong Li 008 (ICLR, 2021)

Efficient Data-specific Model Search for Collaborative Filtering. - Chen Gao 001; Quanming Yao; Depeng Jin; Yong Li 008 (KDD, 2021)

User Consumption Intention Prediction in Meituan. - Yukun Ping; Chen Gao 001; Taichi Liu; Xiaoyi Du; Hengliang Luo; Depeng Jin; Yong Li 008 (KDD, 2021)

Progressive Feature Interaction Search for Deep Sparse Network. - Chen Gao 001; Yinfeng Li; Quanming Yao; Depeng Jin; Yong Li 008 (NeurIPS, 2021)

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)

Improving Location Recommendation with Urban Knowledge Graph. - Chang Liu 092; Chen Gao 001; Depeng Jin; Yong Li 008 (CoRR, 2021)

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. - Zirui Zhu 002; Chen Gao 001; Xu Chen 017; Nian Li; Depeng Jin; 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)

Learning to Recommend With Multiple Cascading Behaviors. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Lina Yao 001; Yang Song 001; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. - Huandong Wang; Yong Li 008; Chen Gao 001; Gang Wang 011; Xiaoming Tao 001; Depeng Jin (IEEE Trans. Mob. Comput., 2021)

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. - Yinfeng Li; Chen Gao 001; Xiaoyi Du; Huazhou Wei; Hengliang Luo; Depeng Jin; Yong Li 008 (CIKM, 2022)

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

Automatically Discovering User Consumption Intents in Meituan. - Yinfeng Li; Chen Gao 001; Xiaoyi Du; Huazhou Wei; Hengliang Luo; Depeng Jin; Yong Li 008 (KDD, 2022)

Modeling Persuasion Factor of User Decision for Recommendation. - Chang Liu 092; Chen Gao 001; Yuan Yuan 032; Chen Bai; Lingrui Luo; Xiaoyi Du; Xinlei Shi; Hengliang Luo; Depeng Jin; Yong Li 008 (KDD, 2022)

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)

Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. - Yinfeng Li; Chen Gao 001; Hengliang Luo; Depeng Jin; Yong Li 008 (SIGIR, 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)

Graph Neural Networks for Recommender System. - Chen Gao 001; Xiang Wang 010; Xiangnan He 001; Yong Li 008 (WSDM, 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)

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. - Yinfeng Li; Chen Gao 001; Quanming Yao; Tong Li 013; Depeng Jin; Yong Li 008 (CoRR, 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)

Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. - Zhilong Chen; Jinghua Piao; Xiaochong Lan; Hancheng Cao; Chen Gao 001; Zhicong Lu; Yong Li 008 (Proc. ACM Hum. Comput. Interact., 2022)

Cross-domain Recommendation with Bridge-Item Embeddings. - Chen Gao 001; Yong Li 008; Fuli Feng; Xiangning Chen; Kai Zhao; Xiangnan He 001; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2022)

Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. - Chen Gao 001; Chao Huang; Donghan Yu; Haohao Fu; Tzu-Heng Lin; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2022)

Social Recommendation With Characterized Regularization. - Chen Gao 001; Nian Li; 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; Chen Gao 001; Jianxin Chang; Yanan Niu; Yang Song 008; Depeng Jin; Yong Li 008 (CIKM, 2023)

Modeling Multi-Grained User Preference in Location Visitation. - Yingrong Qin; Chen Gao 001; Zhen Tu; Hongsheng Wu; Shuangqing Wei; Yue Wang 007; Lin Zhang 001; Yong Li 008 (SIGSPATIAL/GIS, 2023)

NEON: Living Needs Prediction System in Meituan. - Xiaochong Lan; Chen Gao 001; Shiqi Wen; Xiuqi Chen; Yingge Che; Han Zhang; Huazhou Wei; Hengliang Luo; Yong Li 008 (KDD, 2023)

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. - Jinzhu Mao; Liu Cao; Chen Gao 001; Huandong Wang; Hangyu Fan; Depeng Jin; Yong Li 008 (KDD, 2023)

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. - Yan Wen; Chen Gao 001; Lingling Yi; Liwei Qiu; Yaqing Wang 002; Yong Li 008 (KDD, 2023)

Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. - Yu Shang; Chen Gao 001; Jiansheng Chen; Depeng Jin; Huimin Ma 001; Yong Li 008 (ACM Multimedia, 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)

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. - Taichi Liu; Chen Gao 001; Zhenyu Wang 005; Dong Li 016; Jianye Hao; Depeng Jin; Yong Li 008 (SIGIR, 2023)

Learning Fine-grained User Interests for Micro-video Recommendation. - Yu Shang; Chen Gao 001; Jiansheng Chen; Depeng Jin; Meng Wang 001; Yong Li 008 (SIGIR, 2023)

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. - Zhenyang Li; Yancheng Dong; Chen Gao 001; Yizhou Zhao; Dong Li 016; Jianye Hao; Kai Zhang 012; Yong Li 008; Zhi Wang 001 (WWW, 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)

Robust Preference-Guided Denoising for Graph based Social Recommendation. - Yuhan Quan; Jingtao Ding; Chen Gao 001; Lingling Yi; Depeng Jin; Yong Li 008 (WWW, 2023)

S3: Social-network Simulation System with Large Language Model-Empowered Agents. - Chen Gao 001; Xiaochong Lan; Zhihong Lu; Jinzhu Mao; Jinghua Piao; Huandong Wang; Depeng Jin; Yong Li 008 (CoRR, 2023)

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (CoRR, 2023)

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

Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (CoRR, 2023)

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. - Fengli Xu; Jun Zhang 087; Chen Gao 001; Jie Feng 002; Yong Li 008 (CoRR, 2023)

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. - Chen Gao 001; Xiaochong Lan; Nian Li; 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; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 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)

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)

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

Disentangling Geographical Effect for Point-of-Interest Recommendation. - Yingrong Qin; Chen Gao 001; Yue Wang 007; Shuangqing Wei; Depeng Jin; Jian Yuan; Lin Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

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

Stance Detection with Collaborative Role-Infused LLM-Based Agents. - Xiaochong Lan; Chen Gao 001; Depeng Jin; Yong Li 008 (ICWSM, 2024)

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (NeurIPS, 2024)

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

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. - Chen Gao 001; Fengli Xu; Xu Chen 017; Xiang Wang 010; Xiangnan He 001; Yong Li 008 (WWW (Companion Volume), 2024)

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

Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. - Yu Shang; Chen Gao 001; Jiansheng Chen; Depeng Jin; Yong Li 008 (WWW, 2024)

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

Large Language Model Agent for Hyper-Parameter Optimization. - Siyi Liu; Chen Gao 001; Yong Li 008 (CoRR, 2024)

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. - Shutong Qiao; Chen Gao 001; Junhao Wen 001; Wei Zhou 028; Qun Luo; Peixuan Chen; Yong Li 008 (CoRR, 2024)

Identify Critical Nodes in Complex Network with Large Language Models. - Jinzhu Mao; Dongyun Zou; Li Sheng; Siyi Liu; Chen Gao 001; Yue Wang 007; Yong Li 008 (CoRR, 2024)

Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. - Pengyang Shao; Chen Gao 001; Lei Chen 051; Yonghui Yang; Kun Zhang 015; Meng Wang 001 (CoRR, 2024)

Depression Detection on Social Media with Large Language Models. - Xiaochong Lan; Yiming Cheng; Li Sheng; Chen Gao 001; Yong Li 008 (CoRR, 2024)

EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment. - Chen Gao 001; Baining Zhao; Weichen Zhang; Jinzhu Mao; Jun Zhang 087; Zhiheng Zheng; Fanhang Man; Jianjie Fang; Zile Zhou; Jinqiang Cui; Xinlei Chen; Yong Li 008 (CoRR, 2024)

Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing. - Yong Zhao; Zhengqiu Zhu; Chen Gao 001; En Wang; Jincai Huang 001; Fei-Yue Wang 001 (CoRR, 2024)

LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation. - Shutong Qiao; Chen Gao 001; Yong Li 008; Hongzhi Yin (CoRR, 2024)

SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World. - Jiaqi Zhang; Chen Gao 001; Liyuan Zhang; Yong Li 008; Hongzhi Yin (CoRR, 2024)

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Chang Meng; Ziqi Zhao; Wei Guo 006; Yingxue Zhang 001; Haolun Wu; Chen Gao 001; Dong Li 016; Xiu Li 001; Ruiming Tang (ACM Trans. Inf. Syst., 2024)

Learning from Hierarchical Structure of Knowledge Graph for Recommendation. - Yingrong Qin; Chen Gao 001; Shuangqing Wei; Yue Wang 007; Depeng Jin; Jian Yuan; Lin Zhang 001; Dong Li 016; Jianye Hao; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. - Mingshi Yan; Zhiyong Cheng 001; Chen Gao 001; Jing Sun 012; Fan Liu 008; Fuming Sun; Haojie Li (ACM Trans. Inf. Syst., 2024)

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

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (ACM Trans. Inf. Syst., 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)

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (AAAI, 2025)

Iterative Sparse Attention for Long-sequence Recommendation. - Guanyu Lin; Jinwei Luo; Yinfeng Li; Chen Gao 001; Qun Luo; Depeng Jin (AAAI, 2025)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinleishi Xinleishi; Hengliang Luo; Yong Li 008 (ACL (Findings), 2025)

Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from Psychometrics. - Wenrui Xu; Dalin Lyu; Weihang Wang 010; Jie Feng 002; Chen Gao 001; Yong Li 008 (ACL (1), 2025)

CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory. - Weichen Zhang; Chen Gao 001; Shiquan Yu; Ruiying Peng; Baining Zhao; Qian Zhang; Jinqiang Cui; Xinlei Chen; Yong Li 008 (ACL (1), 2025)

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces. - Baining Zhao; Jianjie Fang; Zichao Dai; Ziyou Wang; Jirong Zha; Weichen Zhang; Chen Gao 001; Yue Wang 007; Jinqiang Cui; Xinlei Chen; Yong Li 008 (ACL (1), 2025)

AgentHPO: Large Language Model Agent for Hyper-Parameter Optimization. - Siyi Liu; Chen Gao 001; Yong Li 008 (CPAL, 2025)

Can't Stop Scrolling: Understanding the Online Behavioral Factors and Trends of Short-Video Addiction. - Jing Yi Wang; Nicholas Sukiennik; Jinghua Piao; Zhiqiang Pan; Chen Gao 001; Yong Li 008 (ICWSM, 2025)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. - Pengyang Shao; Yonghui Yang; Chen Gao 001; Lei Chen 051; Kun Zhang 015; Chenyi Zhuang; Le Wu; Yong Li 008; Meng Wang 001 (KDD (1), 2025)

On the Cross-Graph Transferability of Dynamic Link Prediction. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Wanyu Chen; Xin Zhang 123; Honghui Chen; Yong Li 008 (WWW, 2025)

Social Bots Meet Large Language Model: Political Bias and Social Learning Inspired Mitigation Strategies. - Jinghua Piao; Zhihong Lu; Chen Gao 001; Yong Li 008 (WWW, 2025)

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

Privacy-preserving recommendation with coarse-grained spatiotemporal contexts. - Lei Chen 051; Chen Gao 001; Jiahuan Lei; Xiaoyi Du; Xinlei Shi; Hengliang Luo; Depeng Jin; Yong Li 008; Meng Wang 001 (Sci. China Inf. Sci., 2025)

Emergence of human-like polarization among large language model agents. - Jinghua Piao; Zhihong Lu; Chen Gao 001; Fengli Xu; Fernando P. Santos; Yong Li 008; James Evans (CoRR, 2025)

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy. - Huandong Wang; Wenjie Fu 005; Yingzhou Tang; Zhilong Chen; Yuxi Huang 007; Jinghua Piao; Chen Gao 001; Fengli Xu; Tao Jiang 002; Yong Li 008 (CoRR, 2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. - Fengli Xu; Qianyue Hao; Zefang Zong; Jingwei Wang 002; Yunke Zhang; Jingyi Wang 002; Xiaochong Lan; Jiahui Gong; Tianjian Ouyang; Fanjin Meng; Chenyang Shao; Yuwei Yan; et al. (CoRR, 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; Junbo Yan; Xiaochong Lan; Zhihong Lu; Zhiheng Zheng; Jing Yi Wang; Di Zhou; Chen Gao 001; Fengli Xu; et al. (CoRR, 2025)

CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space. - Yong Zhao; Kai Xu 014; Zhengqiu Zhu; Yue Hu; Zhiheng Zheng; Yingfeng Chen; Yatai Ji; Chen Gao 001; Yong Li 008; Jincai Huang 001 (CoRR, 2025)

PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models. - Yu Meng; Kaiyuan Li; Chenran Huang; Chen Gao 001; Xinlei Chen; Yong Li 008; Xiaoping Zhang (CoRR, 2025)

Understanding and Evaluating Hallucinations in 3D Visual Language Models. - Ruiying Peng; Kaiyuan Li; Weichen Zhang; Chen Gao 001; Xinlei Chen; Yong Li 008 (CoRR, 2025)

A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval. - Yu Zhang 083; Shutong Qiao; Jiaqi Zhang; Tzu-Heng Lin; Chen Gao 001; Yong Li 008 (CoRR, 2025)

Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space. - Weichen Zhan; Zile Zhou; Zhiheng Zheng; Chen Gao 001; Jinqiang Cui; Yong Li 008; Xinlei Chen; Xiao-Ping Zhang (CoRR, 2025)

Denoising Alignment with Large Language Model for Recommendation. - Yingtao Peng; Chen Gao 001; Yu Zhang 083; Tangpeng Dan; Xiaoyi Du; Hengliang Luo; Yong Li 008; Xiaofeng Meng 001 (ACM Trans. Inf. Syst., 2025)

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? - Weichen Zhang; Ruiying Peng; Chen Gao 001; Jianjie Fang; Xin Zeng; Kaiyuan Li; Ziyou Wang; Jinqiang Cui; Xin Wang 019; Xinlei Chen; Yong Li 008 (CoRR, 2025)

Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents. - Nicholas Sukiennik; Haoyu Wang; Zailin Zeng; Chen Gao 001; Yong Li 008 (CoRR, 2025)

An Evaluation of Cultural Value Alignment in LLM. - Nicholas Sukiennik; Chen Gao 001; Fengli Xu; Yong Li 008 (CoRR, 2025)

GeoNav: Empowering MLLMs with Explicit Geospatial Reasoning Abilities for Language-Goal Aerial Navigation. - Haotian Xu; Yue Hu; Chen Gao 001; Zhengqiu Zhu; Yong Zhao; Yong Li 008; Quanjun Yin (CoRR, 2025)

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. - Jie Feng 002; Jinwei Zeng; Qingyue Long; Hongyi Chen; Jie Zhao; Yanxin Xi; Zhilun Zhou; Yuan Yuan 032; Shengyuan Wang; Qingbin Zeng; Songwei Li; Yunke Zhang; et al. (CoRR, 2025)

Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning. - Baining Zhao; Ziyou Wang; Jianjie Fang; Chen Gao 001; Fanhang Man; Jinqiang Cui; Xin Wang 019; Xinlei Chen; Yong Li 008; Wenwu Zhu 001 (CoRR, 2025)

UniCO: Towards a Unified Model for Combinatorial Optimization Problems. - Zefang Zong; Xiaochen Wei; Guozhen Zhang; Chen Gao 001; Huandong Wang; Yong Li 008 (CoRR, 2025)

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology. - Yatai Ji; Zhengqiu Zhu; Yong Zhao; Beidan Liu; Chen Gao 001; Yihao Zhao; Sihang Qiu; Yue Hu; Quanjun Yin; Yong Li 008 (CoRR, 2025)

DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking. - Jirong Zha; Yuxuan Fan; Kai Li; Han Li; Chen Gao 001; Xinlei Chen; Yong Li 008 (CoRR, 2025)

Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events. - Mengzhu Liu; Zhengqiu Zhu; Chuan Ai; Chen Gao 001; Xinghong Li; Lingnan He; Kaisheng Lai; Yingfeng Chen; Xin Lu; Yong Li 008; Quanjun Yin (CoRR, 2025)

Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization. - Kaiyuan Li; Xiaoyue Chen; Chen Gao 001; Yong Li 008; Xinlei Chen (CoRR, 2025)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Yong Li 008 (CoRR, 2025)

RoboScape: Physics-informed Embodied World Model. - Yu Shang; Xin Zhang 123; Yinzhou Tang; Lei Jin; Chen Gao 001; Wei Wu 021; Yong Li 008 (CoRR, 2025)

AirScape: An Aerial Generative World Model with Motion Controllability. - Baining Zhao; Rongze Tang; Mingyuan Jia; Ziyou Wang; Fanghang Man; Xin Zhang 123; Yu Shang; Weichen Zhang; Chen Gao 001; Wei Wu 021; Xin Wang 019; Xinlei Chen; et al. (CoRR, 2025)

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent. - Jiaao Li; Kaiyuan Li; Chen Gao 001; Yong Li 008; Xinlei Chen (CoRR, 2025)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Chen Gao 001; Qun Luo; Peixuan Chen; Yong Li 008 (ACM Trans. Inf. Syst., 2025)

The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents. - Nicholas Sukiennik; Yichuan Xu; Yuqing Kan; Jinghua Piao; Yuwei Yan; Chen Gao 001; Yong Li (CoRR, 2025)

Enhancing ID-based Recommendation with Large Language Models. - Lei Chen 051; Chen Gao 001; Xiaoyi Du; Hengliang Luo; Depeng Jin; Yong Li 008; Meng Wang 001 (ACM Trans. Inf. Syst., 2025)

Light Dynamic Graph Learning on Temporal Networks. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Honghui Chen; Yong Li 008 (ACM Trans. Inf. Syst., 2025)

Breaking student-concept sparsity barrier for cognitive diagnosis. - Pengyang Shao; Kun Zhang 015; Chen Gao 001; Lei Chen 051; Miaomiao Cai; Le Wu; Yong Li 008; Meng Wang 001 (Frontiers Comput. Sci., 2025)