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Shuai Li 0010
李帅
Person information
- unicode name: 李帅
- affiliation: Shanghai Jiao Tong University, John Hopcroft Center for Computer Science, Shanghai, China
- affiliation (PhD): Chinese University of Hong Kong, Hong Kong
- not to be confused with: Shuai Li 0011
Other persons with the same name
- Shuai Li — disambiguation page
- Shuai Li 0001
— Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Shuai Li 0002
- Shuai Li 0003
- Shuai Li 0004
- Shuai Li 0005
- Shuai Li 0006
- Shuai Li 0007 — University of Western Brittany, Brest, France
- Shuai Li 0008
- Shuai Li 0009
- Shuai Li 0011 — University of Cambridge, Department of Engineering, UK (and 1 more)
- Shuai Li 0012
- Shuai Li 0013
- Shuai Li 0014
- Shuai Li 0015 — Amazon Inc. (and 1 more)
- Shuai Li 0016 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Shuai Li 0017 — Huawei Technologies Co.Ltd., Beijing, China (and 1 more)
- Shuai Li 0018
- Shuai Li 0019
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2020 – today
- 2024
- [j8]Zilong Wang
Optimal analysis for bandit learning in matching markets with serial dictatorship. Theor. Comput. Sci. 1010: 114703 (2024) - [j7]Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li:
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [j6]Yu Xia
Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. User Model. User Adapt. Interact. 34(5): 1707-1744 (2024) - [c56]Fang Kong, Shuai Li:
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. AAAI 2024: 13256-13264 - [c55]Fang Kong
Sequential Optimum Test with Multi-armed Bandits for Online Experimentation. CIKM 2024: 4645-4652 - [c54]Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li:
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP 2024: 12106-12110 - [c53]Ruinan Jin, Shuai Li, Baoxiang Wang:
On Stationary Point Convergence of PPO-Clip. ICLR 2024 - [c52]Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen:
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. ICML 2024 - [c51]Zhijie Wang, Bo Jiang, Shuai Li:
In-context Learning on Function Classes Unveiled for Transformers. ICML 2024 - [c50]Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li:
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT 2024: 4684-4695 - [c49]Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT 2024: 8665-8677 - [c48]Xu Liu
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM 2024: 472-481 - [c47]Yu Xia
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. WWW 2024: 4059-4070 - [i45]Fang Kong, Shuai Li:
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility. CoRR abs/2401.01528 (2024) - [i44]Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li:
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR abs/2401.05792 (2024) - [i43]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR abs/2403.07213 (2024) - [i42]Yu Xia
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR abs/2404.01588 (2024) - [i41]Yu Xia
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR abs/2404.15676 (2024) - [i40]Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li:
Calibrating Reasoning in Language Models with Internal Consistency. CoRR abs/2405.18711 (2024) - [i39]Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR abs/2406.00012 (2024) - [i38]Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen:
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. CoRR abs/2406.01386 (2024) - [i37]Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li:
Learning Versatile Skills with Curriculum Masking. CoRR abs/2410.17744 (2024) - 2023
- [j5]Qizhi Li, Xubin Zheng, Jize Xie
bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks. Bioinform. 39(3) (2023) - [j4]Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li:
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. User Model. User Adapt. Interact. 33(5): 1065-1112 (2023) - [c46]Junda Wu
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737 - [c45]Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui:
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits. AAAI 2023: 10288-10295 - [c44]Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li:
Understanding Representation Learnability of Nonlinear Self-Supervised Learning. AAAI 2023: 10807-10815 - [c43]Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li:
Online Influence Maximization under Decreasing Cascade Model. AAMAS 2023: 2197-2204 - [c42]Fang Kong, Canzhe Zhao, Shuai Li:
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. COLT 2023: 657-673 - [c41]Weiwen Liu
Personalized Diversification for Neural Re-ranking in Recommendation. ICDE 2023: 802-815 - [c40]Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li:
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. ICLR 2023 - [c39]Yichi Zhou, Fang Kong, Shuai Li:
Stochastic No-regret Learning for General Games with Variance Reduction. ICLR 2023 - [c38]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML 2023: 38187-38203 - [c37]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI 2023: 4638-4646 - [c36]Yu Xia
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD 2023: 2694-2704 - [c35]Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui:
Online Clustering of Bandits with Misspecified User Models. NeurIPS 2023 - [c34]Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui:
Online Corrupted User Detection and Regret Minimization. NeurIPS 2023 - [c33]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023 - [c32]Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li:
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. NeurIPS 2023 - [c31]Fang Kong, Shuai Li:
Player-optimal Stable Regret for Bandit Learning in Matching Markets. SODA 2023: 1512-1522 - [c30]Canzhe Zhao
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. WSDM 2023: 985-993 - [i36]Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li:
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. CoRR abs/2302.06834 (2023) - [i35]Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui:
Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits. CoRR abs/2303.00315 (2023) - [i34]Fang Kong, Canzhe Zhao, Shuai Li:
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. CoRR abs/2303.06825 (2023) - [i33]Shuai Li, Zhao Song, Yu Xia
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. CoRR abs/2304.13276 (2023) - [i32]Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li:
Online Influence Maximization under Decreasing Cascade Model. CoRR abs/2305.15428 (2023) - [i31]Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li:
Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR abs/2305.16683 (2023) - [i30]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023) - [i29]Fang Kong, Shuai Li:
Player-optimal Stable Regret for Bandit Learning in Matching Markets. CoRR abs/2307.10890 (2023) - [i28]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2308.09902 (2023) - [i27]Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui:
Online Clustering of Bandits with Misspecified User Models. CoRR abs/2310.02717 (2023) - [i26]Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui:
Online Corrupted User Detection and Regret Minimization. CoRR abs/2310.04768 (2023) - [i25]Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman:
Adversarial Attacks on Cooperative Multi-agent Bandits. CoRR abs/2311.01698 (2023) - [i24]Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li:
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. CoRR abs/2311.07876 (2023) - 2022
- [j3]Yueran Yang, Yu Zhang
A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3246-3254 (2022) - [c29]Cheng Chen, Canzhe Zhao, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. AAAI 2022: 6202-6210 - [c28]Zilong Wang, Liya Guo, Junming Yin, Shuai Li:
Bandit Learning in Many-to-One Matching Markets. CIKM 2022: 2088-2097 - [c27]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM 2022: 2827-2836 - [c26]Junda Wu
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) 2022: 3436-3448 - [c25]Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li:
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. EMNLP 2022: 5617-5633 - [c24]Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li:
Cascading Bandit Under Differential Privacy. ICASSP 2022: 4418-4422 - [c23]Fang Kong, Yichi Zhou, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. ICML 2022: 11473-11482 - [c22]Fang Kong, Junming Yin, Shuai Li:
Thompson Sampling for Bandit Learning in Matching Markets. IJCAI 2022: 3164-3170 - [c21]Yong Zhuang, Tong Yu, Junda Wu
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. ACM Multimedia 2022: 482-490 - [c20]Junda Wu
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR 2022: 290-300 - [c19]Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui:
Federated online clustering of bandits. UAI 2022: 1221-1231 - [c18]Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. WSDM 2022: 219-229 - [c17]Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li:
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. WWW 2022: 483-492 - [i23]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. CoRR abs/2201.10447 (2022) - [i22]Fang Kong, Junming Yin, Shuai Li:
Thompson Sampling for Bandit Learning in Matching Markets. CoRR abs/2204.12048 (2022) - [i21]Fang Kong, Yichi Zhou, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. CoRR abs/2206.07908 (2022) - [i20]Jianghao Lin, Weiwen Liu, Xinyi Dai
A Graph-Enhanced Click Model for Web Search. CoRR abs/2206.08621 (2022) - [i19]Cheng Chen, Canzhe Zhao, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. CoRR abs/2207.05437 (2022) - [i18]Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. CoRR abs/2208.09837 (2022) - [i17]Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui:
Federated Online Clustering of Bandits. CoRR abs/2208.14865 (2022) - [i16]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR abs/2209.06129 (2022) - [i15]Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye:
Pretraining in Deep Reinforcement Learning: A Survey. CoRR abs/2211.03959 (2022) - 2021
- [c16]Junda Wu
Clustering of Conversational Bandits for User Preference Learning and Elicitation. CIKM 2021: 2129-2139 - [c15]Junda Wu
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes. ACM Multimedia 2021: 2103-2111 - [c14]Houshuang Chen, Zengfeng Huang
Understanding Bandits with Graph Feedback. NeurIPS 2021: 24659-24669 - [c13]Fang Kong, Yueran Yang, Wei Chen, Shuai Li:
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. NeurIPS 2021: 26701-26713 - [c12]Jianghao Lin, Weiwen Liu
A Graph-Enhanced Click Model for Web Search. SIGIR 2021: 1259-1268 - [c11]Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. SIGIR 2021: 1400-1409 - [c10]Xinyi Dai
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - [i14]Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. CoRR abs/2102.12722 (2021) - [i13]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i12]Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao:
Conservative Contextual Combinatorial Cascading Bandit. CoRR abs/2104.08615 (2021) - [i11]Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao:
Cascading Bandit under Differential Privacy. CoRR abs/2105.11126 (2021) - [i10]Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang:
Understanding Bandits with Graph Feedback. CoRR abs/2105.14260 (2021) - [i9]Jing Dong, Shuai Li, Baoxiang Wang:
Incentivizing an Unknown Crowd. CoRR abs/2109.04226 (2021) - [i8]Fang Kong, Yueran Yang, Wei Chen, Shuai Li:
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. CoRR abs/2111.04295 (2021) - 2020
- [c9]Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. AAAI 2020: 4675-4682 - [c8]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. ICLR 2020 - [c7]Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen:
Online Influence Maximization under Linear Threshold Model. NeurIPS 2020 - [i7]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. CoRR abs/2001.00102 (2020) - [i6]Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen:
Online Influence Maximization under Linear Threshold Model. CoRR abs/2011.06378 (2020)
2010 – 2019
- 2019
- [j2]Pengfei Liu
Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network. BMC Bioinform. 20(1): 408:1-408:14 (2019) - [j1]Ran Wang, Shuai Li, Lixin Cheng
Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning. BMC Bioinform. 20-S(26): 628 (2019) - [c6]Shuai Li, Wei Chen
Improved Algorithm on Online Clustering of Bandits. IJCAI 2019: 2923-2929 - [i5]Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung:
Improved Algorithm on Online Clustering of Bandits. CoRR abs/1902.09162 (2019) - [i4]Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. CoRR abs/1903.01083 (2019) - [i3]Xiaojin Zhang, Shuai Li, Weiwen Liu:
Contextual Combinatorial Conservative Bandits. CoRR abs/1911.11337 (2019) - 2018
- [c5]Shuai Li, Shengyu Zhang:
Online Clustering of Contextual Cascading Bandits. AAAI 2018: 3554-3561 - [c4]Ran Wang, Shuai Li, Man Hon Wong, Kwong-Sak Leung:
Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition. BIBM 2018: 305-312 - [c3]Weiwen Liu
Contextual Dependent Click Bandit Algorithm for Web Recommendation. COCOON 2018: 39-50 - [c2]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay
Offline Evaluation of Ranking Policies with Click Models. KDD 2018: 1685-1694 - [i2]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. CoRR abs/1804.10488 (2018) - 2017
- [i1]Shuai Li, Shengyu Zhang:
Online Clustering of Contextual Cascading Bandits. CoRR abs/1711.08594 (2017) - 2016
- [c1]Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen:
Contextual Combinatorial Cascading Bandits. ICML 2016: 1245-1253
Coauthor Index
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