Chongming Gao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Gene Expression

Reinforcement Learning

Top Venues

Publications

Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR (2024)
Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. SIGIR (2024)
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR (2024)
Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR (2024)
Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. CoRR (2024)
Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42 (1) (2024)
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. SIGIR (2024)
Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. CoRR (2024)
Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng
Dual-Phase Accelerated Prompt Optimization. CoRR (2024)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys (2023)
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
Interactive active learning for fairness with partial group label. AI Open 4 (2023)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data 9 (2) (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao
Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. CollaborateCom (3) (2023)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. CoRR (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR (2023)
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. CoRR (2023)
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR (2022)
Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM (2022)
Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. Knowl. Based Syst. 240 (2022)
Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR (2022)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. CoRR (2022)
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
Advances and challenges in conversational recommender systems: A survey. AI Open 2 (2021)
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR (2021)
Wenqiang Lei, Chongming Gao, Maarten de Rijke
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. RecSys (2021)
Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao
Revisiting Representation Degeneration Problem in Language Modeling. EMNLP (Findings) (2020)
Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538 (2020)
Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao
SemiSync: Semi-supervised Clustering by Synchronization. DASFAA (3) (2019)
Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA (3) (2019)
Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao
Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1) (2019)
Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao
Semantic trajectory compression via multi-resolution synchronization-based clustering. Knowl. Based Syst. 174 (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR (2019)
Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao
Online Budgeted Least Squares with Unlabeled Data. ICDM (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM (2019)
Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM (2017)