Chongming Gao

According to our database, Chongming Gao authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

ACM Trans. Inf. Syst., January, 2024

Position-aware Graph Transformer for Recommendation.

Jiajia Chen, Jiancan Wu, Jiawei Chen, Chongming Gao, Yong Li, Xiang Wang

CoRR, 2024

SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations.

Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He

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

Incorporate LLMs with Influential Recommender System.

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

CoRR, 2024

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.

Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang

CoRR, 2024

Reinforced Prompt Personalization for Recommendation with Large Language Models.

Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He

CoRR, 2024

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.

Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

CoRR, 2024

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

CoRR, 2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.

Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Treatment Effect Estimation for User Interest Exploration on Recommender Systems.

Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dual-Phase Accelerated Prompt Optimization.

Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning.

Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.

Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin

IEEE Trans. Big Data, April, 2023

Interactive active learning for fairness with partial group label.

Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He

AI Open, January, 2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.

Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He

CoRR, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RecAD: Towards A Unified Library for Recommender Attack and Defense.

Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders.

Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models.

Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao

Knowl. Based Syst., 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.

Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

CoRR, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Advances and challenges in conversational recommender systems: A survey.

Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua

AI Open, 2021

RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation.

Wenqiang Lei, Chongming Gao, Maarten de Rijke

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Semantic trajectory representation and retrieval via hierarchical embedding.

Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao

Inf. Sci., 2020

Revisiting Representation Degeneration Problem in Language Modeling.

Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Semantic trajectory compression via multi-resolution synchronization-based clustering.

Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao

Knowl. Based Syst., 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.

Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Budgeted Least Squares with Unlabeled Data.

Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SemiSync: Semi-supervised Clustering by Synchronization.

Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

Towards Robust Arbitrarily Oriented Subspace Clustering.

Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.

Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

2017

Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data.

Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017