Chen Gao is now a Faculty Member of BNRist, Tsinghua University. He obtained his Ph.D. Degree (advised by Prof. Yong Li and Prof. Depeng Jin) and Bachelor’s Degree from the Department of Electronic Engineering, Tsinghua University in 2021 and 2016, respectively. His research primarily focuses on data mining and information retrieval, with over 60 papers in top-tier venues (50+ CCF-A), including SIGIR, WWW, KDD, TKDE, TOIS, ICDE, ICLR, NeurIPS, MM, UbiComp, CSCW, NDSS, etc., attracting over 2500 citations (h-index>20). His work on GNN-based bundle recommendation received the Best Short Paper Honorable Mention Award in SIGIR 2020. He serves as the PC member for conferences such as WWW, KDD, SIGIR, WSDM, CIKM, NeurIPS, ICLR, ICML, MM, RecSys, AAAI, IJCAI, AISTATS, ECML-PKDD, etc., and the regular reviewer for journals including IEEE TKDE, ACM TOIS, IEEE TNNLS, etc. He was a visiting research scholar (advised by Prof. Tat-Seng Chua and Prof. Xiangnan He) at NExT Center of National University of Singapore in 2018. He was selected as one of Top 100 Chinese Rising Stars in Artificial Intelligence by Baidu Scholar in 2021. He was also at the finalist of 2021 China Computer Federation (CCF) Outstanding Doctoral Dissertation Award. He has also organized multiple tutorials in top-tier conferences including WWW, KDD, WSDM, IJCAI, etc. and serves as Social Media Chair of SIGIR 2024.
Advertisements (long-term effective): I am seeking self-motivated interns (SRTs) to conduct research with us remotely or at Tsinghua (we will cover your rental expense). Our team is also actively hiring Postdocs/PhD/Master students. Feel free to contact me via email if you are interested.
(*Corresponding Author)
Depression Detection on Social Media with Large Language Models
X. Lan, Y. Cheng, L. Sheng, Chen Gao*, Y. Li
arXiv:2403.10750, 2024.
Identify Critical Nodes in Complex Network with Large Language Models
J. Mao, D. Zou, L. Sheng, S. Liu, Chen Gao*, Y. Wang, Y. Li
arXiv:2403.03962, 2024.
Large Language Model Agent for Hyper-Parameter Optimization
S. Liu, Chen Gao*, Y. Li
arXiv:2402.01881, 2024.
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation
S. Qiao, Chen Gao, J. Wen, W. Zhou, Q. Luo, P. Chen, Y. Li
arXiv:2402.13840, 2024.
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
Chen Gao, X. Lan, N. Li, Y. Yuan, J. Ding, Z. Zhou, F. Xu, Y. Li
arXiv:2312.11970, 2023.
Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment
F. Xu. J. Zhang, Chen Gao (co-first author), J. Feng, Y. Li
arXiv:2312.11813, 2023.
Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
N. Li, Chen Gao*, Y. Li, Q. Liao
arXiv:2310.10436, 2023.
S3: Social-network Simulation System with Large Language Model-Empowered Agents
Chen Gao, X. Lan, Z. Lu, J. Mao, J. Piao, H. Wang, D. Jin, Y. Li
arXiv:2307.14984, 2023.
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
W. Fu, H. Wang, Chen Gao, G. Liu, Y. Li, T. Jiang
arXiv:2308.12143, 2023.
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
W. Fu, H. Wang, Chen Gao, G. Liu, Y. Li, T. Jiang
arXiv:2311.06062, 2023.
Modeling User Fatigue for Recommendation
N. Li, X. Bai, C. Ling, Chen Gao*, L. Hu, P. Jiang, K. Gai, Y. Li, Q. Liao
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. (CCF-A)
Stance Detection with Collaborative Role-Infused LLM-Based Agents
X. Lan, Chen Gao*, D. Jin, Y. Li
The International AAAI Conference on Web and Social Media (ICWSM), 2024. (CCF-B)
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation
N. Sukiennik, Chen Gao* and N. Li
ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform
N. Li, Y. Pan, Chen Gao*, D. Jin and Q. Liao
ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing
Y. Shang, Chen Gao, J. Chen, D. Jin and Y. Li
ACM The Web Conference (TheWebConf/WWW), 2024. (CCF-A)
Inverse Learning with Extremely Sparse Feedback for Recommendation
G. Lin, Chen Gao*, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, Y. Li
ACM International Conference on Web Search and Data Mining (WSDM), oral, 2024. (CCF-B)
Mixed Attention Network for Cross-domain Sequential Recommendation
G. Lin, Chen Gao*, Y. Zheng, Y. Li, J. Chang, Y. Niu, Y. Song, K. Gai, Z. Li, D. Jin, Y. Li, M. Wang
ACM International Conference on Web Search and Data Mining (WSDM), oral, 2024. (CCF-B)
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System
Y. Pan, N. Li, Chen Gao*, J. Chang, Y. Niu, Y. Song, D. Jin, Y. Li.
ACM International Conference on Information and Knowledge Management (CIKM), 2023. (CCF-B)
Modeling Multi-Grained User Preference in Location Visitation
Y. Qin, Chen Gao*, T. Zhen, H. Wu, S. Wei, Y. Wang, L. Zhang, Y. Li.
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL, full, acceptance rate=15.7%), 2023. (CCF-C)
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing
Y. Shang, Chen Gao, J. Chen, D. Jin, H. Ma, Y. Li.
ACM International Conference on Multimedia (ACM MM), 2023. (CCF-A)
Understanding and Modeling Passive-Negative Feedback for Sequential Short-video Recommendation
Y. Pan, Chen Gao*, Y. Song, K. Gai, Depeng Jin, Y. Li.
ACM Conference on Recommender Systems (RecSys), 2023. (CCF-B)
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
Y. Wen, Chen Gao*, L. Yi, L. Qiu, Y. Wang, and Y. Li.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)
NEON: Living Needs Prediction System in Meituan
X. Lan, Chen Gao*, W. Shi, X. Chen, Y. Che, H. Zhang, H. Wei, H. Luo, and Y. Li.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
J. Mao, L. Cao, Chen Gao*, H. Wang, H. Fan, D. Jin, and Y. Li.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)
Learning Fine-grained User Interests for Micro-video Recommendation
Y. Shang, Chen Gao, J. Chen, D. Jin, Y. Li, and M. Wang.
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF-A)
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation
T. Liu, Chen Gao*, Z. Wang, D. Li, J. Hao, D. Jin, and Y. Li.
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short), 2023. (CCF-A)
Alleviating Video-Length Efect for Micro-video Recommendation
Y. Quan, J. Ding, Chen Gao, N. Li, L. Yi, D. Jin, and Y. Li.
ACM Transactions on Information Systems (TOIS), 2023. (CCF-A)
Learning from Hierarchical Structure of Knowledge Graph for Recommendation
Y. Qin, Chen Gao*, S. Wei, Y. Wang, D. Jin, J. Yuan, L. Zhang, D. Li, J. Hao, and Y. Li.
ACM Transactions on Information Systems (TOIS), 2023. (CCF-A)
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning
W. Fu, H. Wang, Chen Gao, G. Liu, Y. Li, T. Jiang.
ACM Transactions on Information Systems (TOIS), 2023. (CCF-A)
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
M. Yan, Z. Cheng, Chen Gao, J. Sun, F. Liu, F. Sun, H. Li.
ACM Transactions on Information Systems (TOIS), 2023. (CCF-A)
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
C Meng, Z. Zhao, W. Guo, Y. Zhang, H. Wu, Chen Gao, D. Li, X. Li, R. Tang.
ACM Transactions on Information Systems (TOIS), 2023. (CCF-A)
Dual-interest Factorization-heads Attention for Sequential Recommendation
G. Lin, Chen Gao*, Y. Zheng, J. Chang, Y. Niu, Y. Song, Z. Li, D. Jin, and Y. Li.
ACM The Web Conference (TheWebConf/WWW), 2023. (CCF-A)
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System
Y. Dong, Z. Li, Chen Gao*, Y. Zhao, D. Li, J. Hao, Z. Wang, K. Zhang, and Y. Li.
ACM The Web Conference (TheWebConf/WWW), 2023. (CCF-A)
Robust Preference-Guided Denoising for Graph-based Social Recommendation
Y. Quan, J. Ding, Chen Gao, L. Yi, D. Jin, and Y. Li.
ACM The Web Conference (TheWebConf/WWW), 2023. (CCF-A)
Disentangling Geographical Effect for Point-of-Interest Recommendation
Y. Qin, Chen Gao*, Y. Wang, S. Wei, D. Jin, J. Yuan, and L. Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF-A)
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks
Y. Li, Chen Gao*, X. Du, H. Wei, H. Luo, D. Jin, and Y. Li
ACM International Conference on Information and Knowledge Management (CIKM), 2022. (CCF-B)
An Exploratory Study of Information Cocoon on Short-form Video Platform
N. Li, Chen Gao*, J. Piao, X. Huang, A. Yue, L. Zhou, Q. Liao, and Y. Li
ACM International Conference on Information and Knowledge Management (CIKM), short, 2022. (CCF-B)
DVR:Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias
Y. Zheng, Chen Gao*, J. Ding, L. Yi, D. Jin, Y. Li, and M. Wang
ACM International Conference on Multimedia (ACM MM), oral, 2022. (CCF-A)
Automatically Discovering User Consumption Intents in Meituan
Y. Li, Chen Gao*, X. Du, H. Wei, H. Luo, D. Jin, and Y. Li
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2022. (CCF-A)
Modeling Persuasion Factor of User Decision for Recommendation
C. Liu, Chen Gao*, Y. Yuan, C. Bai, L. Luo, X. Du, H. Luo, D. Jin, and Y. Li
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2022. (CCF-A)
Disentangled Modeling of Social Homophily and Influence for Social Recommendation
N. Li, Chen Gao*, D. Jin, and Q. Liao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF-A)
Dual Contrastive Network for Sequential Recommendation
G. Lin, Chen Gao*, Y. Li, Y. Zheng, Z. Li, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), short 2022. (CCF-A)
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Y. Li, Chen Gao*, H. Luo, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), short 2022. (CCF-A)
DisenHCN:Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
Y. Li, Chen Gao*, Q. Yao, T. Li, D. Jin, and Y. Li
IEEE International Conference on Data Engineering (ICDE), 2022. (CCF-A)
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
Z. Zhu, Chen Gao, X. Chen, N. Li, D. Jin, and Y. Li
IEEE International Conference on Data Engineering (ICDE), 2022. (CCF-A)
Disentangling Long and Short-Term Interests for Recommendation
Y. Zheng, Chen Gao*, J. Chang, Y. Niu, Y. Song, D. Jin, and Y. Li
The Web Conference (TheWebConf/WWW), 2022. (CCF-A)
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design
Z. Chen, J. Piao, X. Lan, H. Cao, Chen Gao, Z. Lu, and Y. Li
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2022 (CCF-A)
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao, Y. Li, Q. Yao, D. Jin, and Y. Li
Conference on Neural Information Processing Systems (NeurIPS), 2021 (CCF-A)
Bundle Recommendation and Generation with Graph Neural Networks
J. Chang, Chen Gao*, X. He, D. Jin, and Y. Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF-A)
Cross-platform Item Recommendation for Online Social E-Commerce
Chen Gao, TH. Lin, N. Li, D. Jin, and Y. Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF-A)
Incorporating Price into Recommendation with Graph Convolutional Networks
Y. Zheng, Chen Gao, X. He, D. Jin, and Y. Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF-A)
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study
J. Piao, G. Zhang, F. Xu, Z. Chen, Y. Zheng, Chen Gao, and Y. Li
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2021 (CCF-A)
Efficient Data-specific Model Search for Collaborative Filtering
Chen Gao, Q. Yao, D. Jin, and Y. Li
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2021. (CCF-A)
User Consumption Intention Prediction in Meituan
Y. Ping, Chen Gao, T. Liu, X. Du, H. Luo, D. Jin, and Y. Li
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2021. (CCF-A)
Sequential Recommendation with Graph Neural Networks
J. Chang, Chen Gao, Y. Zheng, Y. Hui, Y. Niu, Y. Song, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF-A)
Cross-domain Recommendation with Bridge-Item Embeddings
Chen Gao, Y. Li, F. Feng, X. Chen, K. Zhao, X. He, and D. Jin
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021 (CCF-B)
Learnable Embedding Sizes for Recommender Systems
S. Liu, Chen Gao*, Y. Chen, D. Jin, and Y. Li
International Conference on Learning Representations (ICLR), 2021
Group-Buying Recommendation for Social E-Commerce
J. Zhang, Chen Gao*, D. Jin, and Y. Li
IEEE International Conference on Data Engineering (ICDE), 2021. (CCF-A)
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Y. Zheng, Chen Gao, X. Li, X. He, D. Jin, and Y. Li
The Web Conference (TheWebConf/WWW), 2021. (CCF-A)
DGCN:Diversified Recommendation with Graph Convolutional Networks
Y. Zheng, Chen Gao, L. Chen, D. Jin, and Y. Li
The Web Conference (TheWebConf/WWW), 2021. (CCF-A)
DPLCF:Differentially Private Local Collaborative Filtering
Chen Gao, C. Huang, D. Lin, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF-A)
Multi-behavior Recommendation with Graph Convolutional Networks
B. Jin, Chen Gao, X. He, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF-A)
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce
Chen Gao, C. Huang, D. Yu, TH. Lin, H. Fu, D. Jin, and Y. Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A)
Social Recommendation with Characteristic Regularization
Chen Gao, N. Li, TH. Lin, D. Lin, J. Zhang, Y. Li, and D. Jin
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A)
Bundle Recommendation with Graph Convolutional Networks
J. Chang, Chen Gao, X. He, D. Jin, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (Best Short Paper Honorable Mention Award, CCF-A)
Price-aware Recommendation with Graph Convolutional Networks
Y. Zheng, Chen Gao, X. He, Y. Li, and D. Jin
IEEE International Conference on Data Engineering (ICDE), 2020. (CCF-A)
Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs
H. Wang, Chen Gao, Y. Li, ZL. Zhang, and D. Jin
IEEE Transactions on Network and Service Management (TNSM), 2020.
Learning to Recommend with Multiple Cascading Behaviors
Chen Gao, X. He, D. Gan, X. Chen, F. Feng, Y. Li, TS. Chua, and D. Jin
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. (CCF-A)
Cross-domain Recommendation without Sharing User-relevant Data
Chen Gao, X. Chen, F. Feng, K. Zhao, X. He, Y. Li, and D. Jin
The Web Conference (TheWebConf/WWW), 2019. (CCF-A)
Privacy-preserving Cross-domain Location Recommendation
Chen Gao, C. Huang, Y. Yu, H. Wang, Y. Li, and D. Jin
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/IMWUT), 2019. (CCF-A)
Neural Multi-Task Recommendation from Multi-Behavior Data
Chen Gao, X. He, D. Gan, X. Chen, F. Feng, Y. Li, TS. Chua, and D. Jin
IEEE International Conference on Data Engineering (ICDE), short, 2019. (CCF-A)
CROSS:Cross-platform Recommendation for Social E-Commerce
TH. Lin, Chen Gao, and Y. Li
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019. (CCF-A)
λOpt:Learn to Regularize Recommender Models in Finer Levels
Y. Chen, B. Chen, X. He, Chen Gao, Y. Li, JG. Lou, and Y. Wang
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2019. (CCF-A)
DeepAPF:Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation
H. Yan, X. Chen, Chen Gao, Y. Li, and D. Jin
International Joint Conference on Artificial Intelligence (IJCAI), 2019. (CCF-A)
Anonymization and De-anonymization of Mobility Trajectories:Dissecting the Gaps between Theory and Practice
H. Wang, Chen Gao, Y. Li, G. Wang, X. Tao, and D. Jin
IEEE Transactions on Mobile Computing (TMC), 2019. (CCF-A)
Recommender Systems with Characteristic Social Regularization
TH. Lin, Chen Gao, and Y. Li
ACM Conference on Information and Knowledge Management (CIKM), short, 2019.(CCF-B)
De-anonymization of Mobility Trajectories:Dissecting the Gaps between Theory and Practice
H. Wang, Chen Gao, Y. Li, G. Wang, D. Jin, and J. Sun
Network and Distributed System Security Symposium (NDSS), 2018. (CCF-A)
From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs
H. Wang, Chen Gao, Y. Li, ZL. Zhang, and D. Jin
ACM International Conference on Information and Knowledge Management (CIKM), 2017. (CCF-B)
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