Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. - Junming Shao; Chongming Gao; Wei Zeng 013; Jingkuan Song; Qinli Yang (ICDM, 2017)

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. - Chongming Gao; Shuai Yuan 018; Zhong Zhang 004; Hongzhi Yin; Junming Shao (DASFAA (3), 2019)

Towards Robust Arbitrarily Oriented Subspace Clustering. - Zhong Zhang 004; Chongming Gao; Chongzhi Liu; Qinli Yang; Junming Shao (DASFAA (1), 2019)

SemiSync: Semi-supervised Clustering by Synchronization. - Zhong Zhang 004; Didi Kang; Chongming Gao; Junming Shao (DASFAA (3), 2019)

Online Budgeted Least Squares with Unlabeled Data. - Chen Huang; Peiyan Li; Chongming Gao; Qinli Yang; Junming Shao (ICDM, 2019)

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. - Junliang Yu; Min Gao 001; Hongzhi Yin; Jundong Li; Chongming Gao; Qinyong Wang (ICDM, 2019)

Semantic trajectory compression via multi-resolution synchronization-based clustering. - Chongming Gao; Yi Zhao; Ruizhi Wu; Qinli Yang; Junming Shao (Knowl. Based Syst., 2019)

Revisiting Representation Degeneration Problem in Language Modeling. - Zhong Zhang 004; Chongming Gao; Cong Xu; Rui Miao; Qinli Yang; Junming Shao (EMNLP (Findings), 2020)

Semantic trajectory representation and retrieval via hierarchical embedding. - Chongming Gao; Zhong Zhang 004; Chen Huang; Hongzhi Yin; Qinli Yang; Junming Shao (Inf. Sci., 2020)

RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. - Wenqiang Lei; Chongming Gao; Maarten de Rijke (RecSys, 2021)

Advances and challenges in conversational recommender systems: A survey. - Chongming Gao; Wenqiang Lei; Xiangnan He 001; Maarten de Rijke; Tat-Seng Chua (AI Open, 2021)

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Jiawei Chen 007; Biao Li; Peng Jiang 002; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CIKM, 2022)

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. - Chongming Gao; Shijun Li 002; Yuan Zhang 024; Jiawei Chen 007; Biao Li; Wenqiang Lei; Peng Jiang 002; Xiangnan He 001 (CIKM, 2022)

KuaiRec: A Fully-observed Dataset for Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Biao Li; Peng Jiang 002; Jiawei Chen 007; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CoRR, 2022)

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. - Zhong Zhang 004; Nian Shao; Chongming Gao; Rui Miao; Qinli Yang; Junming Shao (Knowl. Based Syst., 2022)

Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. - Linxin Guo; Shiqi Wang 018; Min Gao 001; Chongming Gao (CollaborateCom (3), 2023)

RecAD: Towards A Unified Library for Recommender Attack and Defense. - Changsheng Wang; Jianbai Ye; Wenjie Wang 007; Chongming Gao; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. - Chongming Gao; Kexin Huang; Jiawei Chen 007; Yuan Zhang 024; Biao Li; Peng Jiang 002; Shiqi Wang 018; Zhong Zhang 004; Xiangnan He 001 (SIGIR, 2023)

On the Theories Behind Hard Negative Sampling for Recommendation. - Wentao Shi 002; Jiawei Chen 007; Fuli Feng; Jizhi Zhang; Junkang Wu; Chongming Gao; Xiangnan He 001 (WWW, 2023)

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Lingfei Wu 001; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Xiangnan He 001 (CoRR, 2023)

Interactive active learning for fairness with partial group label. - Zeyu Yang; Jizhi Zhang; Fuli Feng; Chongming Gao; Qifan Wang 001; Xiangnan He 001 (AI Open, 2023)

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. - Shiqi Wang 018; Chongming Gao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Hongzhi Yin (IEEE Trans. Big Data, 2023)

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning. - Gangyi Zhang; Chongming Gao; Hang Pan 006; Runzhe Teng; Ruizhe Li (CIKM, 2024)

Dual-Phase Accelerated Prompt Optimization. - Muchen Yang; Moxin Li; Yongle Li; Zijun Chen 001; Chongming Gao; Junqi Zhang; Yangyang Li; Fuli Feng (EMNLP (Findings), 2024)

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. - Kexin Huang; Ziqian Chen; Xue Wang 010; Chongming Gao; Jinyang Gao; Bolin Ding; Xiang Wang 010 (ICML, 2024)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems. - Jiaju Chen; Wenjie Wang 007; Chongming Gao; Peng Wu 012; Jianxiong Wei; Qingsong Hua (SIGIR, 2024)

Large Language Models are Learnable Planners for Long-Term Recommendation. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (SIGIR, 2024)

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (SIGIR, 2024)

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. - Zihao Zhao 004; Yi Jing; Fuli Feng; Jiancan Wu; Chongming Gao; Xiangnan He 001 (SIGIR, 2024)

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (CoRR, 2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Can Wang 001 (CoRR, 2024)

Incorporate LLMs with Influential Recommender System. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (CoRR, 2024)

FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Fuli Feng (CoRR, 2024)

SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations. - Chongming Gao; Ruijun Chen; Shuai Yuan 018; Kexin Huang; Yuanqing Yu; Xiangnan He 001 (CoRR, 2024)

Position-aware Graph Transformer for Recommendation. - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Chongming Gao; Yong Li 008; Xiang Wang 010 (CoRR, 2024)

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. - Chongming Gao; Shiqi Wang 018; Shijun Li 002; Jiawei Chen 007; Xiangnan He 001; Wenqiang Lei; Biao Li; Yuan Zhang 024; Peng Jiang 002 (ACM Trans. Inf. Syst., 2024)

K-order Ranking Preference Optimization for Large Language Models. - Shihao Cai; Chongming Gao; Yang Zhang 072; Wentao Shi 002; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Fuli Feng (ACL (Findings), 2025)

Tunable LLM-based Proactive Recommendation Agent. - Mingze Wang; Chongming Gao; Wenjie Wang 007; Yangyang Li; Fuli Feng (ACL (1), 2025)

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. - Shuxian Bi; Wenjie Wang 007; Moxin Li; Chongming Gao; Fuli Feng (PAKDD (7), 2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (SIGIR, 2025)

Process-Supervised LLM Recommenders via Flow-guided Tuning. - Chongming Gao; Mengyao Gao; Chenxiao Fan; Shuai Yuan 018; Wentao Shi 002; Xiangnan He 001 (SIGIR, 2025)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. - Jiaju Chen; Chongming Gao; Shuai Yuan 018; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (WSDM, 2025)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

SPRec: Self-Play to Debias LLM-based Recommendation. - Chongming Gao; Ruijun Chen; Shuai Yuan 018; Kexin Huang; Yuanqing Yu; Xiangnan He 001 (WWW, 2025)

Leveraging LLMs for Influence Path Planning in Proactive Recommendation. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (WWW (Companion Volume), 2025)

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer. - Chongming Gao; Kexin Huang; Ziang Fei; Jiaju Chen; Jiawei Chen 007; Jianshan Sun; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (CoRR, 2025)

Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation Tasks. - Zihao Zhao 004; Chenxiao Fan; Chongming Gao; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Fine-grained List-wise Alignment for Generative Medication Recommendation. - Chenxiao Fan; Chongming Gao; Wentao Shi 002; Yaxin Gong; Zihao Zhao 004; Fuli Feng (CoRR, 2025)

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation. - Dongyang Li; Jianshan Sun; Chongming Gao; Fuli Feng; Kun Yuan (ACM Trans. Inf. Syst., 2025)

Reinforced Prompt Personalization for Recommendation with Large Language Models. - Wenyu Mao; Jiancan Wu; Weijian Chen 001; Chongming Gao; Xiang Wang 010; Xiangnan He 001 (ACM Trans. Inf. Syst., 2025)

Vague Preference Policy Learning for Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Lingfei Wu 001 (ACM Trans. Inf. Syst., 2025)

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning. - Wuqiang Zheng; Yiyan Xu; Xinyu Lin 001; Chongming Gao; Wenjie Wang 007; Fuli Feng (CoRR, 2025)