Postdoc @ University of Science and Technology of China (USTC)
Mentor: Xiangnan He (何向南).
Research Interest: Recommender Systems, Data Mining
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
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 |
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 |
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 |
Reformulating Conversational Recommender Systems as Tri-Phase
Offline Policy Learning
Gangyi Zhang, Chongming Gao*, Hang Pan, Runzhe Teng, Ruizhe Li CIKM 2024 *Corresponding Author |
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 |
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 |
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 |
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 |
Treatment Effect Estimation for User Interest Exploration on
Recommender Systems
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua SIGIR 2024 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
Revisiting Representation Degeneration Problem in Language Modeling
Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao EMNLP 2020 |
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). |