Shuai Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Markov Decision Process

Tensor Decomposition

Natural Language Understanding

Top Venues

Publications

Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. Trans. Mach. Learn. Res. 2024 (2024)
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 (2024)
Zilong Wang, Shuai Li
Optimal analysis for bandit learning in matching markets with serial dictatorship. Theor. Comput. Sci. 1010 (2024)
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)
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 (2024)
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR (2024)
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. CoRR (2024)
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)
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)
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM (2024)
Fang Kong, Shuai Li
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. AAAI (2024)
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. WWW (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR (2024)
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR (2024)
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
Calibrating Reasoning in Language Models with Internal Consistency. CoRR (2024)
Ruinan Jin, Shuai Li, Baoxiang Wang
On Stationary Point Convergence of PPO-Clip. ICLR (2024)
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD (2023)
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 (2023)
Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li
Understanding Representation Learnability of Nonlinear Self-Supervised Learning. AAAI (2023)
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)
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. ICLR (2023)
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR (2023)
Fang Kong, Shuai Li
Player-optimal Stable Regret for Bandit Learning in Matching Markets. SODA (2023)
Yichi Zhou, Fang Kong, Shuai Li
Stochastic No-regret Learning for General Games with Variance Reduction. ICLR (2023)
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 (2023)
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI (2023)
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui
Online Corrupted User Detection and Regret Minimization. CoRR (2023)
Qizhi Li, Xubin Zheng, Jize Xie, Ran Wang, Mengyao Li, Man Hon Wong, Kwong-Sak Leung, Shuai Li, Qingshan Geng, Lixin Cheng
bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks. Bioinform. 39 (3) (2023)
Fang Kong, Canzhe Zhao, Shuai Li
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm. COLT (2023)
Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui
Online Clustering of Bandits with Misspecified User Models. CoRR (2023)
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) (2023)
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI (2023)
Yueran Yang, Yu Zhang, Shuai Li, Xubin Zheng, Man Hon Wong, Kwong-Sak Leung, Lixin Cheng
A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
A Graph-Enhanced Click Model for Web Search. CoRR (2022)
Fang Kong, Yueran Yang, Wei Chen, Shuai Li
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle. NeurIPS (2021)
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
A Graph-Enhanced Click Model for Web Search. SIGIR (2021)
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 (2021)
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. WWW (2021)
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
Understanding Bandits with Graph Feedback. NeurIPS (2021)
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
The Gambler's Problem and Beyond. ICLR (2020)
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
The Gambler's Problem and Beyond. CoRR (2020)
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
Stochastic Online Learning with Probabilistic Graph Feedback. AAAI (2020)
Ran Wang, Shuai Li, Lixin Cheng, Man Hon Wong, Kwong-Sak Leung
Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning. BMC Bioinform. (26) (2019)
Xiaojin Zhang, Shuai Li, Weiwen Liu
Contextual Combinatorial Conservative Bandits. CoRR (2019)
Pengfei Liu, Hongjian Li, Shuai Li, Kwong-Sak Leung
Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network. BMC Bioinform. 20 (1) (2019)
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
Improved Algorithm on Online Clustering of Bandits. CoRR (2019)
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
Improved Algorithm on Online Clustering of Bandits. IJCAI (2019)
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
Stochastic Online Learning with Probabilistic Graph Feedback. CoRR (2019)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. CoRR (2018)
Ran Wang, Shuai Li, Man Hon Wong, Kwong-Sak Leung
Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition. BIBM (2018)
Shuai Li, Shengyu Zhang
Online Clustering of Contextual Cascading Bandits. AAAI (2018)
Weiwen Liu, Shuai Li, Shengyu Zhang
Contextual Dependent Click Bandit Algorithm for Web Recommendation. COCOON (2018)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. KDD (2018)
Shuai Li, Shengyu Zhang
Online Clustering of Contextual Cascading Bandits. CoRR (2017)
Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen
Contextual Combinatorial Cascading Bandits. ICML (2016)