Shuai Li

136 papers A* 57A 12B 1Misc 3Journal 59Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bandit learning in matching markets with relative feedback.
Theor. Comput. Sci.
Fang Kong, Xiaoxi Zhang, Xiao Huang, Lijun Zhang, Shuai Li
2025 A conf
Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning.
AAMAS
Xu Liu, Tong Yu, Shuai Li
2025 A* conf
Bandit Learning in Matching Markets with Indifference.
ICLR
Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C. S. Lui, Shuai Li
2025 B conf
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
COLING
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2025 A* conf
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition.
IJCAI
Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang
2025 A* conf
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme.
ICML
Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li
2025 A* conf
Interactive Visualization Recommendation with Hier-SUCB.
WWW
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 J jnl
Interactive Visualization Recommendation with Hier-SUCB.
CoRR
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 A* conf
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback.
ICML
Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li
2025 A* conf
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions.
AAAI
Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2025 A* conf
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation.
ICML
Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li
2025 A* conf
Optimal Algorithm for Max-Min Fair Bandit.
ICML
Zilong Wang, Zhiyao Zhang, Shuai Li
2025 A conf
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers.
AISTATS
Ruofeng Yang, Bo Jiang, Shuai Li
2025 A conf
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation.
UAI
Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li
2024 — conf
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.
NAACL-HLT
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
2024 J jnl
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
CoRR
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2024 A* conf
Calibrating Reasoning in Language Models with Internal Consistency.
NeurIPS
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
2024 J jnl
Calibrating Reasoning in Language Models with Internal Consistency.
CoRR
Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
2024 A* conf
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.
ICML
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024 J jnl
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.
CoRR
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024 J jnl
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
CoRR
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
2024 Misc conf
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
ICASSP
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
2024 J jnl
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.
CoRR
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
2024 A* conf
Few-Shot Diffusion Models Escape the Curse of Dimensionality.
NeurIPS
Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
2024 — conf
Hallucination Diversity-Aware Active Learning for Text Summarization.
NAACL-HLT
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 J jnl
Hallucination Diversity-Aware Active Learning for Text Summarization.
CoRR
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 A* conf
Improved Analysis for Bandit Learning in Matching Markets.
NeurIPS
Fang Kong, Zilong Wang, Shuai Li
2024 A* conf
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility.
AAAI
Fang Kong, Shuai Li
2024 J jnl
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility.
CoRR
Fang Kong, Shuai Li
2024 J jnl
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization.
Trans. Mach. Learn. Res.
Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2024 A* conf
In-context Learning on Function Classes Unveiled for Transformers.
ICML
Zhijie Wang, Bo Jiang, Shuai Li
2024 A conf
Interact with the Explanations: Causal Debiased Explainable Recommendation System.
WSDM
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
2024 A* conf
Learning Versatile Skills with Curriculum Masking.
NeurIPS
Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024 J jnl
Learning Versatile Skills with Curriculum Masking.
CoRR
Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024 A* conf
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models.
NeurIPS
Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li
2024 A* conf
On Stationary Point Convergence of PPO-Clip.
ICLR
Ruinan Jin, Shuai Li, Baoxiang Wang
2024 J jnl
Optimal analysis for bandit learning in matching markets with serial dictatorship.
Theor. Comput. Sci.
Zilong Wang, Shuai Li
2024 A conf
Sequential Optimum Test with Multi-armed Bandits for Online Experimentation.
CIKM
Fang Kong, Penglei Zhao, Shichao Han, Yong Wang, Shuai Li
2024 A* conf
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
NeurIPS
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
2024 J jnl
Toward joint utilization of absolute and relative bandit feedback for conversational recommendation.
User Model. User Adapt. Interact.
Yu Xia, Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2024 J jnl
Understanding Representation Learnability of Nonlinear Self-Supervised Learning.
CoRR
Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li
2024 A* conf
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
WWW
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
2024 J jnl
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
CoRR
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
2023 J jnl
Adversarial Attacks on Cooperative Multi-agent Bandits.
CoRR
Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
2023 A* conf
Adversarial Attacks on Online Learning to Rank with Click Feedback.
NeurIPS
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
2023 J jnl
Adversarial Attacks on Online Learning to Rank with Click Feedback.
CoRR
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad H. Hajiesmaili, Adam Wierman
2023 A* conf
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm.
COLT
Fang Kong, Canzhe Zhao, Shuai Li
2023 J jnl
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm.
CoRR
Fang Kong, Canzhe Zhao, Shuai Li
2023 J jnl
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.
User Model. User Adapt. Interact.
Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
2023 A* conf
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.
IJCAI
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 J jnl
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 A conf
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
WSDM
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2023 A* conf
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits.
AAAI
Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui
2023 J jnl
Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits.
CoRR
Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui
2023 A* conf
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.
AAAI
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
2023 A* conf
Future-conditioned Unsupervised Pretraining for Decision Transformer.
ICML
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
2023 J jnl
Future-conditioned Unsupervised Pretraining for Decision Transformer.
CoRR
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
2023 J jnl
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization.
CoRR
Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2023 A* conf
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
NeurIPS
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023 J jnl
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
CoRR
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023 A* conf
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition.
ICLR
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
2023 A* conf
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback.
NeurIPS
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023 J jnl
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback.
CoRR
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
2023 A* conf
Online Clustering of Bandits with Misspecified User Models.
NeurIPS
Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui
2023 J jnl
Online Clustering of Bandits with Misspecified User Models.
CoRR
Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui
2023 A* conf
Online Corrupted User Detection and Regret Minimization.
NeurIPS
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui
2023 J jnl
Online Corrupted User Detection and Regret Minimization.
CoRR
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui
2023 A conf
Online Influence Maximization under Decreasing Cascade Model.
AAMAS
Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li
2023 J jnl
Online Influence Maximization under Decreasing Cascade Model.
CoRR
Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li
2023 A* conf
Personalized Diversification for Neural Re-ranking in Recommendation.
ICDE
Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2023 A* conf
Player-optimal Stable Regret for Bandit Learning in Matching Markets.
SODA
Fang Kong, Shuai Li
2023 J jnl
Player-optimal Stable Regret for Bandit Learning in Matching Markets.
CoRR
Fang Kong, Shuai Li
2023 A* conf
Stochastic No-regret Learning for General Games with Variance Reduction.
ICLR
Yichi Zhou, Fang Kong, Shuai Li
2023 J jnl
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
CoRR
Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
2023 A* conf
Understanding Representation Learnability of Nonlinear Self-Supervised Learning.
AAAI
Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li
2023 A* conf
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
KDD
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
2023 J jnl
bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks.
Bioinform.
Qizhi Li, Xubin Zheng, Jize Xie, Ran Wang, Mengyao Li, Man Hon Wong, Kwong-Sak Leung, Shuai Li, Qingshan Geng, Lixin Cheng
2022 J jnl
A Graph-Enhanced Click Model for Web Search.
CoRR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2022 J jnl
A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yueran Yang, Yu Zhang, Shuai Li, Xubin Zheng, Man Hon Wong, Kwong-Sak Leung, Lixin Cheng
2022 A conf
Bandit Learning in Many-to-One Matching Markets.
CIKM
Zilong Wang, Liya Guo, Junming Yin, Shuai Li
2022 Misc conf
Cascading Bandit Under Differential Privacy.
ICASSP
Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li
2022 A conf
Combinatorial Bandits under Strategic Manipulations.
WSDM
Jing Dong, Ke Li, Shuai Li, Baoxiang Wang
2022 J jnl
Comparison-based Conversational Recommender System with Relative Bandit Feedback.
CoRR
Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2022 — conf
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.
EMNLP (Findings)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
2022 J jnl
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
CoRR
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
2022 A* conf
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
EMNLP
Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
2022 A* conf
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.
SIGIR
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
2022 J jnl
Federated Online Clustering of Bandits.
CoRR
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
2022 A conf
Federated online clustering of bandits.
UAI
Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui
2022 A conf
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CIKM
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 J jnl
Hierarchical Conversational Preference Elicitation with Bandit Feedback.
CoRR
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022 A* conf
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback.
WWW
Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li
2022 J jnl
Pretraining in Deep Reinforcement Learning: A Survey.
CoRR
Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
2022 A* conf
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model.
AAAI
Cheng Chen, Canzhe Zhao, Shuai Li
2022 J jnl
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model.
CoRR
Cheng Chen, Canzhe Zhao, Shuai Li
2022 A* conf
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback.
ICML
Fang Kong, Yichi Zhou, Shuai Li
2022 J jnl
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback.
CoRR
Fang Kong, Yichi Zhou, Shuai Li
2022 A* conf
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems.
ACM Multimedia
Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li
2022 A* conf
Thompson Sampling for Bandit Learning in Matching Markets.
IJCAI
Fang Kong, Junming Yin, Shuai Li
2022 J jnl
Thompson Sampling for Bandit Learning in Matching Markets.
CoRR
Fang Kong, Junming Yin, Shuai Li
2021 A* conf
A Graph-Enhanced Click Model for Web Search.
SIGIR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2021 A* conf
An Adversarial Imitation Click Model for Information Retrieval.
WWW
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 J jnl
An Adversarial Imitation Click Model for Information Retrieval.
CoRR
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 J jnl
Cascading Bandit under Differential Privacy.
CoRR
Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao
2021 A conf
Clustering of Conversational Bandits for User Preference Learning and Elicitation.
CIKM
Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li
2021 J jnl
Combinatorial Bandits under Strategic Manipulations.
CoRR
Jing Dong, Ke Li, Shuai Li, Baoxiang Wang
2021 A* conf
Comparison-based Conversational Recommender System with Relative Bandit Feedback.
SIGIR
Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
2021 J jnl
Conservative Contextual Combinatorial Cascading Bandit.
CoRR
Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao
2021 A* conf
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes.
ACM Multimedia
Junda Wu, Tong Yu, Shuai Li
2021 J jnl
Incentivizing an Unknown Crowd.
CoRR
Jing Dong, Shuai Li, Baoxiang Wang
2021 A* conf
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle.
NeurIPS
Fang Kong, Yueran Yang, Wei Chen, Shuai Li
2021 J jnl
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle.
CoRR
Fang Kong, Yueran Yang, Wei Chen, Shuai Li
2021 A* conf
Understanding Bandits with Graph Feedback.
NeurIPS
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
2021 J jnl
Understanding Bandits with Graph Feedback.
CoRR
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
2020 A* conf
Online Influence Maximization under Linear Threshold Model.
NeurIPS
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
2020 J jnl
Online Influence Maximization under Linear Threshold Model.
CoRR
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
2020 A* conf
Stochastic Online Learning with Probabilistic Graph Feedback.
AAAI
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
2020 A* conf
The Gambler's Problem and Beyond.
ICLR
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
2020 J jnl
The Gambler's Problem and Beyond.
CoRR
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
2019 J jnl
Contextual Combinatorial Conservative Bandits.
CoRR
Xiaojin Zhang, Shuai Li, Weiwen Liu
2019 A* conf
Improved Algorithm on Online Clustering of Bandits.
IJCAI
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
2019 J jnl
Improved Algorithm on Online Clustering of Bandits.
CoRR
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
2019 J jnl
Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network.
BMC Bioinform.
Pengfei Liu, Hongjian Li, Shuai Li, Kwong-Sak Leung
2019 A* conf
Online Learning to Rank with Features.
ICML
Shuai Li, Tor Lattimore, Csaba Szepesvári
2019 J jnl
Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning.
BMC Bioinform.
Ran Wang, Shuai Li, Lixin Cheng, Man Hon Wong, Kwong-Sak Leung
2019 J jnl
Stochastic Online Learning with Probabilistic Graph Feedback.
CoRR
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
2018 Misc conf
Contextual Dependent Click Bandit Algorithm for Web Recommendation.
COCOON
Weiwen Liu, Shuai Li, Shengyu Zhang
2018 — conf
Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition.
BIBM
Ran Wang, Shuai Li, Man Hon Wong, Kwong-Sak Leung
2018 A* conf
Offline Evaluation of Ranking Policies with Click Models.
KDD
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
2018 J jnl
Offline Evaluation of Ranking Policies with Click Models.
CoRR
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
2018 A* conf
Online Clustering of Contextual Cascading Bandits.
AAAI
Shuai Li, Shengyu Zhang
2018 J jnl
Online Learning to Rank with Features.
CoRR
Shuai Li, Tor Lattimore, Csaba Szepesvári
2018 A* conf
TopRank: A practical algorithm for online stochastic ranking.
NeurIPS
Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvári
2018 J jnl
TopRank: A practical algorithm for online stochastic ranking.
CoRR
Tor Lattimore, Branislav Kveton, Shuai Li, Csaba Szepesvári
2017 J jnl
Online Clustering of Contextual Cascading Bandits.
CoRR
Shuai Li, Shengyu Zhang
2016 A* conf
Contextual Combinatorial Cascading Bandits.
ICML
Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen