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ORCIDChongming Gao
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2020 – today
- 2024
[j7]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): 14:1-14:27 (2024)- [c21]Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li:
Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning. CIKM 2024: 3135-3144 - [c20]Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng:
Dual-Phase Accelerated Prompt Optimization. EMNLP (Findings) 2024: 12163-12173 - [c19]Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang:
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML 2024 - [c18]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: 533-542 - [c17]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: 977-987 - [c16]Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua:
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. SIGIR 2024: 1861-1871 - [c15]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: 1893-1903 - [i20]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 abs/2402.15164 (2024) - [i19]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 abs/2403.00843 (2024) - [i18]Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He:
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR abs/2403.17745 (2024) - [i17]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 abs/2404.12008 (2024) - [i16]Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua:
Treatment Effect Estimation for User Interest Exploration on Recommender Systems. CoRR abs/2405.08582 (2024) - [i15]Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng:
Dual-Phase Accelerated Prompt Optimization. CoRR abs/2406.13443 (2024) - [i14]Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He:
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR abs/2407.17115 (2024) - [i13]Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li:
Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning. CoRR abs/2408.06809 (2024) - [i12]Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang:
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. CoRR abs/2408.12470 (2024) - [i11]Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng:
Incorporate LLMs with Influential Recommender System. CoRR abs/2409.04827 (2024) - 2023
- [j6]Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He:
Interactive active learning for fairness with partial group label. AI Open 4: 175-182 (2023) - [j5]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): 746-757 (2023) - [c14]Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao:
Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. CollaborateCom (3) 2023: 191-207 - [c13]Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He:
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys 2023: 234-244 - [c12]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: 238-248 - [c11]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: 812-822 - [i10]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR abs/2302.03472 (2023) - [i9]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 abs/2306.04487 (2023) - [i8]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 abs/2307.04571 (2023) - [i7]Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He:
RecAD: Towards A Unified Library for Recommender Attack and Defense. CoRR abs/2309.04884 (2023) - 2022
- [j4]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: 108075 (2022) - [c10]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: 540-550 - [c9]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: 3953-3957 - [i6]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 abs/2202.09508 (2022) - [i5]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 abs/2202.10842 (2022) - [i4]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 abs/2204.01266 (2022) - [i3]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 abs/2208.08696 (2022) - 2021
- [j3]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. AI Open 2: 100-126 (2021) - [c8]Wenqiang Lei, Chongming Gao, Maarten de Rijke:
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. RecSys 2021: 842-844 - [i2]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR abs/2101.09459 (2021) - 2020
- [j2]Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao:
Semantic trajectory representation and retrieval via hierarchical embedding. Inf. Sci. 538: 176-192 (2020) - [c7]Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao:
Revisiting Representation Degeneration Problem in Language Modeling. EMNLP (Findings) 2020: 518-527
2010 – 2019
- 2019
- [j1]Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao:
Semantic trajectory compression via multi-resolution synchronization-based clustering. Knowl. Based Syst. 174: 177-193 (2019) - [c6]Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao:
Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA (1) 2019: 276-291 - [c5]Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao:
SemiSync: Semi-supervised Clustering by Synchronization. DASFAA (3) 2019: 358-362 - [c4]Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao:
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA (3) 2019: 487-490 - [c3]Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao:
Online Budgeted Least Squares with Unlabeled Data. ICDM 2019: 309-318 - [c2]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM 2019: 768-777 - [i1]Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang:
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR abs/1909.03529 (2019) - 2017
- [c1]Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang:
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. ICDM 2017: 1075-1080
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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