Chongming Gao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs. | Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng |
| 2026 | AAAI | Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning. | Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng |
| 2026 | KDD | MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback. | Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng |
| 2026 | SIGIR | Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation. | Ruijun Chen, Chongming Gao, Jiawei Chen, Weiqin Yang, Xiangnan He |
| 2025 | ACL | Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation. | Shuxian Bi, Chongming Gao, Wenjie Wang, Yueqi Mou, Chenxu Wang, Tang Biao, Peng Yan, Fuli Feng |
| 2025 | ACL | K-order Ranking Preference Optimization for Large Language Models. | Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng |
| 2025 | ACL | Tunable LLM-based Proactive Recommendation Agent. | Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng |
| 2025 | CIKM | An LLM-based Behavior Modeling Framework for Malicious User Detection. | Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng |
| 2025 | EMNLP | Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning. | Jizhi Zhang, Chongming Gao, Wentao Shi, Xi-Lin Chen, Jingang Wang, Xunliang Cai, Fuli Feng |
| 2025 | ICML | Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response. | Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang |
| 2025 | PAKDD | Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. | Shuxian Bi, Wenjie Wang, Moxin Li, Chongming Gao, Fuli Feng |
| 2025 | WWW | SPRec: Self-Play to Debias LLM-based Recommendation. | Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He |
| 2025 | WWW | Leveraging LLMs for Influence Path Planning in Proactive Recommendation. | Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng |
| 2025 | SIGIR | Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. | Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He |
| 2025 | SIGIR | Process-Supervised LLM Recommenders via Flow-guided Tuning. | Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He |
| 2025 | WSDM | DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. | Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang |
| 2025 | WSDM | 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 |
| 2024 | CIKM | Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning. | Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li |
| 2024 | EMNLP | Dual-Phase Accelerated Prompt Optimization. | Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng |
| 2024 | ICML | 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 |
| 2024 | SIGIR | Treatment Effect Estimation for User Interest Exploration on Recommender Systems. | Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. | Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He |
| 2023 | RecSys | RecAD: Towards A Unified Library for Recommender Attack and Defense. | Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He |
| 2023 | WWW | On the Theories Behind Hard Negative Sampling for Recommendation. | Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. | Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua |
| 2022 | CIKM | KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. | Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He |
| 2021 | RecSys | RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. | Wenqiang Lei, Chongming Gao, Maarten de Rijke |
| 2020 | EMNLP | Revisiting Representation Degeneration Problem in Language Modeling. | Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao |
| 2019 | DASFAA | BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. | Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao |
| 2019 | DASFAA | Towards Robust Arbitrarily Oriented Subspace Clustering. | Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao |
| 2019 | DASFAA | SemiSync: Semi-supervised Clustering by Synchronization. | Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao |
| 2019 | ICDM | Online Budgeted Least Squares with Unlabeled Data. | Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao |
| 2019 | ICDM | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. | Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang |
| 2017 | ICDM | Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. | Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang |