Chongming GAO | 高崇铭

Postdoc @ University of Science and Technology of China (USTC)

Mentor: Xiangnan He (何向南).

Research Interest: Recommender Systems, Data Mining


| 619082231
chongming.gao@gmail.com

Hefei, China

I am currently a Postdoctoral Researcher at the University of Science and Technology of China (USTC), where I also completed my Ph.D. under the guidance of Prof. Xiangnan HE (何向南). My expertise lies in information retrieval and recommender systems. I hold both M.Eng. and B.Eng. degrees from the University of Electronic Science and Technology of China (UESTC), supervised by Prof. Junming SHAO (邵俊明). I have also interned at leading tech companies such as Kuaishou, Alibaba DAMO Academy, and Alibaba Group’s AI Labs, focusing on conversational recommender systems and AI applications in social science.

Selected Research


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DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
Jiaju Chen, Chongming Gao*, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang
WSDM 2025    Code    *Corresponding Author

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How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
WSDM 2025   

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EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
Yuanqing Yu, Chongming Gao*, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
SIGIR 2024    Code    知乎    *Corresponding Author

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Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
Gangyi Zhang, Chongming Gao*, Hang Pan, Runzhe Teng, Ruizhe Li
CIKM 2024    *Corresponding Author

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Dual-Phase Accelerated Prompt Optimization
Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao*, Junqi Zhang, Yangyang Li, Fuli Feng
EMNLP 2024 Findings    *Corresponding Author

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Large Language Models are Learnable Planners for Long-Term Recommendation
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
SIGIR 2024    Code    知乎   

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Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
SIGIR 2024   

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Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
ICML 2024   

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Treatment Effect Estimation for User Interest Exploration on Recommender Systems
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
SIGIR 2024   

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Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
SIGIR 2024   

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Vague Preference Policy Learning for Conversational Recommendation
Gangyi Zhang, Chongming Gao*, Wenqiang Lei, Xiaojie Guo, Shijun Li, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Lingfei Wu
Preprint 2024    *Corresponding Author

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Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
SIGIR 2023    Slides    Code    知乎    Best Paper Honorable Mention

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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang
TOIS 2023    Slides    Code    知乎   

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On the Theories Behind Hard Negative Sampling for Recommendation
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
WWW 2023   Slides    Code

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RecAD: Towards A Unified Library for Recommender Attack and Defense
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecSys 2023    Code   

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KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Xiangnan He, Wenqiang Lei, Peng Jiang
CIKM 2022    Webpage    知乎   

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KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua
CIKM 2022    Webpage    知乎    Statistics    Demo   

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Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
Open 2021   Slides    Survey

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Revisiting Representation Degeneration Problem in Language Modeling
Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao
EMNLP 2020

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Towards Robust Arbitrarily Oriented Subspace Clustering
Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao
DASFAA 2019    Best Paper

Awards & Honors

2023 One of our papers won the Best Paper Honorable Mention Award of SIGIR 2023 (CCF A).
2019 One of our papers won the Best Paper Award of DASFAA 2019 (CORE2018 Rank B, CCF B).
2019 Outstanding Master's Thesis Award of UESTC.
2019 Outstanding Graduate Student Award of UESTC.
2016 Rank No.1 in Undergraduate Thesis Defense of UESTC. Outstanding undergraduate graduation thesis award.
2016 Honorary Graduate of UESTC. Top 10 in Yingcai Honors College.
2014 Meritorious Winner for CSIAM's China Undergraduate Mathematical Contest in Modeling.
2013 First Prize in Sichuan Contest District in China Undergraduate Mathematical Contest in Modeling.
2012 TANG Lixin Scholarship of UESTC. Top 60 out of over 25,000 undergraduate and graduate students at UESTC.
2012 Rank No.1 in entering UESTC from Yunnan Province (Score: 614).