Profile
Ph.D. Candidate, FIB-Lab, the Department of Electronic Engineering, Tsinghua University
Office: Rohm Building, Haidian District, Beijing, China, 100084
Email: gc16[at]mails[dot]tsinghua[dot]edu[dot]cn
Biography
Greetings! I am Chen Gao, a Ph.D. candidate from the Department of Electronic Engineering, Tsinghua University, supervised by Prof. Depeng Jin and Prof. Yong Li. I obtained my B.E. degree from the same department in 2016. I have been a visiting research scholar (advised by Prof. Xiangnan He and Prof. Tat-Seng Chua) in NExT++ Center at School of Computing, National University of Singapore.
My research interests include information retrieval and data mining.
Selected Publications [Full List on Google Scholar]
2021
Learnable Embedding Sizes for Recommender Systems. S. Liu, Chen Gao, Y. Chen, D. Jin and Y. Li. (ICLR'21)
Group-Buying Recommendation for Social E-Commerce. J. Zhang, Chen Gao, D. Jin and Y. Li. (ICDE'21, full)
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. Y. Zheng, Chen Gao, X. Li, X. He, D. Jin and Y. Li. (TheWebConf/WWW'21)
DGCN: Diversified Recommendation with Graph Convolutional Networks. Y. Zheng, Chen Gao, L. Chen, D. Jin and Y. Li. (TheWebConf/WWW'21)
2020
Differentially Private Local Collaborative Filtering. Chen Gao, C. Huang, D. Lin, D. Jin and Y. Li. (SIGIR'20, full)
Multi-behavior Recommendation with Graph Convolutional Networks. B. Jin*, Chen Gao*, X. He, D. Jin and Y. Li. (*Equal Contribution, SIGIR'20, full)
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. (TKDE'20)
Social Recommendation with Characteristic Regularization. Chen Gao, N. Li, TH. Lin, D. Lin, J. Zhang, Y. Li and D. Jin. (TKDE'20)
Bundle Recommendation with Graph Convolutional Networks. J. Chang, Chen Gao, X. He, D. Jin and Y. Li.(SIGIR'20, Best Short Paper Honorable Mention Award)
Price-aware Recommendation with Graph Convolutional Networks. Y. Zheng, Chen Gao, X. He, Y. Li and D. Jin. (ICDE'20, full)
Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs . H. Wang, Chen Gao, Y. Li, ZL. Zhang and D. Jin. (TNSM'20)
2019
Learning to Recommend with Multiple Cascading Behaviors. Chen Gao, X. He, D. Gan, X. Chen, F. Feng, Y. Li, TS. Chua and D. Jin. (TKDE'19)
Cross-domain Recommendation without Sharing User-relevant Data. Chen Gao, X. Chen, F. Feng, K. Zhao, X. He, Y. Li and D. Jin. (TheWebConf/WWW'19)
Privacy-preserving Cross-domain Location Recommendation. Chen Gao, C. Huang, Y. Yu, H. Wang, Y. Li and D. Jin. (IMWUT/UbiComp'19)
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. (ICDE'19, short)
CROSS: Cross-platform Recommendation for Online Shopping in Social Media. TH. Lin, Chen Gao and Y. Li. (SIGIR'19)
λOpt: Learn to Regularize Recommender Models in Finer Levels. Y. Chen, B. Chen, X. He, Chen Gao, Y. Li, JG. Lou and Y. Wang. (KDD'19)
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. H. Yan, X.. Chen, Chen Gao, Y. Li and D. Jin. (IJCAI'19)
Anonymization and De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice. H. Wang, Y. Li, Chen Gao, G. Wang, X. Tao and D. Jin. (TMC'19)
Before 2019
Recommender Systems with Characteristic Social Regularization. TH. Lin, Chen Gao and Y. Li. (CIKM'18, short)
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. (NDSS'18)
From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. H. Wang, Chen Gao, Y. Li, ZL. Zhang and D. Jin. (CIKM'17)
Academic Service
Senior Program Committee Member: IJCAI 2021
Program Committee Member: NeurIPS 2021, WWW 2021, AAAI 2021, ECML-PKDD 2020-2021, CIKM 2019
Invited Journal Reviewer: IEEE TKDE, IEEE TETCI