PPaperPicks

John C. S. Lui

Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong

33 papers at tracked venues · 30 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-7466-0384 ↗Homepage ↗

Venues

ICML ×8AAAI ×5ICLR ×4NeurIPS ×3SIGKDD ×3ICDE ×2WWW ×2ACL ×1ACM MM ×1AISTATS ×1ECAI ×1IJCAI ×1SOSP ×1

Frequent coauthors

Xiangxiang Dai
×10
Xutong Liu
×9
Zhiyong Wang
×8
Maoli Liu
×6
Jinhang Zuo
×6
Xuchuang Wang
×5
Zhuohua Li
×5
Chengchang Liu
×4
Dongruo Zhou
×4
Mohammad Hajiesmaili
×4
Jin Cheng
×3
Ningning Ding
×3

Papers

  1. A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
    AAAI 2026 ·
    Xiangxiang Dai
    ,
    Yuejin Xie
    ,
    Maoli Liu
    ,
    Xuchuang Wang
    ,
    Zhuohua Li
    ,
    Huanyu Wang
    , John C. S. Lui
  2. BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning
    WWW 2026 ·
    Jin Cheng
    ,
    Xiangxiang Dai
    ,
    Ningning Ding
    , John C. S. Lui,
    Jianwei Huang
  3. Large Language Model-Enhanced Multi-Armed Bandits
    ACL 2026 ·
    Jiahang Sun
    ,
    Zhiyong Wang
    ,
    Runhan Yang
    ,
    Chenjun Xiao
    , John C. S. Lui,
    Zhongxiang Dai
  4. Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
    AAAI 2026 ·
    Manhin Poon
    ,
    Xiangxiang Dai
    ,
    Xutong Liu
    ,
    Fang Kong
    , John C. S. Lui,
    Jinhang Zuo
  5. Trading Vector Data in Vector Databases
    ICDE 2026 ·
    Jin Cheng
    ,
    Xiangxiang Dai
    ,
    Ningning Ding
    , John C. S. Lui,
    Jianwei Huang
  6. A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
    SIGKDD 2025 ·
    Xiangxiang Dai
    ,
    Xiaowei Sun
    ,
    Jinhang Zuo
    ,
    Xutong Liu
    , John C. S. Lui
  7. An Enhanced Levenberg-Marquardt Method via Gram Reduction
    AAAI 2025 ·
    Chengchang Liu
    ,
    Luo Luo
    , John C. S. Lui
  8. Bandit Learning in Matching Markets with Indifference
    ICLR 2025 ·
    Fang Kong
    ,
    Jingqi Tang
    ,
    Mingzhu Li
    ,
    Pinyan Lu
    , John C. S. Lui,
    Shuai Li
  9. Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
    ICLR 2025 ·
    Zhuohua Li
    ,
    Maoli Liu
    ,
    Xiangxiang Dai
    , John C. S. Lui
  10. DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction
    SOSP 2025 ·
    Yanqi Zhang
    ,
    Yuwei Hu
    ,
    Runyuan Zhao
    , John C. S. Lui,
    Haibo Chen
  11. Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
    ICML 2025 ·
    Ruhan Wang
    ,
    Zhiyong Wang
    ,
    Chengkai Huang
    ,
    Rui Wang
    ,
    Tong Yu
    ,
    Lina Yao
    , John C. S. Lui,
    Dongruo Zhou
  12. Fusing Reward and Dueling Feedback in Stochastic Bandits
    ICML 2025 ·
    Xuchuang Wang
    ,
    Qirun Zeng
    ,
    Jinhang Zuo
    ,
    Xutong Liu
    ,
    Mohammad Hajiesmaili
    , John C. S. Lui,
    Adam Wierman
  13. Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
    SIGKDD 2025 ·
    Maoli Liu
    ,
    Zhuohua Li
    ,
    Xiangxiang Dai
    , John C. S. Lui
  14. Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
    ICLR 2025 ·
    Zhiyong Wang
    ,
    Dongruo Zhou
    , John C. S. Lui,
    Wen Sun
  15. OSTOR: Online Scheduling Framework for Trading Continuous Queries
    ICDE 2025 ·
    Jin Cheng
    ,
    Ningning Ding
    , John C. S. Lui,
    Jianwei Huang
  16. Offline Learning for Combinatorial Multi-armed Bandits
    ICML 2025 ·
    Xutong Liu
    ,
    Xiangxiang Dai
    ,
    Jinhang Zuo
    ,
    Siwei Wang
    ,
    Carlee Joe-Wong
    , John C. S. Lui,
    Wei Chen
  17. Online Clustering of Dueling Bandits
    ICML 2025 ·
    Zhiyong Wang
    ,
    Jiahang Sun
    ,
    Mingze Kong
    ,
    Jize Xie
    ,
    Qinghua Hu
    , John C. S. Lui,
    Zhongxiang Dai
  18. Provable Zero-Shot Generalization in Offline Reinforcement Learning
    ICML 2025 ·
    Zhiyong Wang
    ,
    Chen Yang
    , John C. S. Lui,
    Dongruo Zhou
  19. Quantum Algorithms for Finite-horizon Markov Decision Processes
    ICML 2025 ·
    Bin Luo
    ,
    Yuwen Huang
    ,
    Jonathan Allcock
    ,
    Xiaojun Lin
    ,
    Shengyu Zhang
    , John C. S. Lui
  20. Quantum Best Arm Identification with Quantum Oracles
    AAAI 2025 ·
    Xuchuang Wang
    ,
    Yu-Zhen Janice Chen
    ,
    Matheus Guedes de Andrade
    ,
    Jonathan Allcock
    ,
    Mohammad Hajiesmaili
    , John C. S. Lui,
    Don Towsley
  21. Quantum Speedups for Minimax Optimization and Beyond
    NeurIPS 2025 ·
    Chengchang Liu
    ,
    Zongqi Wan
    ,
    Jialin Zhang
    ,
    Xiaoming Sun
    , John C. S. Lui
  22. Stochastic Bandits Robust to Adversarial Attacks
    ICLR 2025 ·
    Xuchuang Wang
    ,
    Maoli Liu
    ,
    Jinhang Zuo
    ,
    Xutong Liu
    , John C. S. Lui,
    Mohammad Hajiesmaili
  23. Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
    SIGKDD 2025 ·
    Haoyan Fu
    ,
    Zhida Qin
    ,
    Shixiao Yang
    ,
    Haoyao Zhang
    ,
    Bin Lu
    ,
    Shuang Li
    ,
    Tianyu Huang
    , John C. S. Lui
  24. Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning
    WWW 2025 ·
    Zhuohua Li
    ,
    Maoli Liu
    ,
    Xiangxiang Dai
    , John C. S. Lui
  25. Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
    AISTATS 2025 ·
    Zhiyong Wang
    ,
    Jize Xie
    ,
    Yi Chen
    , John C. S. Lui,
    Dongruo Zhou
  26. AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics
    ACM MM 2024 ·
    Xiangxiang Dai
    ,
    Zeyu Zhang
    ,
    Peng Yang
    ,
    Yuedong Xu
    ,
    Xutong Liu
    , John C. S. Lui
  27. Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
    ICML 2024 ·
    Xutong Liu
    ,
    Siwei Wang
    ,
    Jinhang Zuo
    ,
    Han Zhong
    ,
    Xuchuang Wang
    ,
    Zhiyong Wang
    ,
    Shuai Li
    ,
    Mohammad Hajiesmaili
    , John C. S. Lui,
    Wei Chen
  28. D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
    NeurIPS 2024 ·
    Yikun Jiang
    ,
    Huanyu Wang
    ,
    Lei Xie
    ,
    Hanbin Zhao
    ,
    Zhang Chao
    ,
    Hui Qian
    , John C. S. Lui
  29. FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
    IJCAI 2024 ·
    Zhuohua Li
    ,
    Maoli Liu
    , John C. S. Lui
  30. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
    AAAI 2024 ·
    Hantao Yang
    ,
    Xutong Liu
    ,
    Zhiyong Wang
    ,
    Hong Xie
    , John C. S. Lui,
    Defu Lian
    ,
    Enhong Chen
  31. Merit-Based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays
    ECAI 2024 ·
    Ziqun Chen
    ,
    Kechao Cai
    ,
    Zhuoyue Chen
    ,
    Jinbei Zhang
    , John C. S. Lui
  32. Quantum Algorithm for Online Exp-concave Optimization
    ICML 2024 ·
    Jianhao He
    ,
    Chengchang Liu
    ,
    Xutong Liu
    ,
    Lvzhou Li
    , John C. S. Lui
  33. Quantum Algorithms for Non-smooth Non-convex Optimization
    NeurIPS 2024 ·
    Chengchang Liu
    ,
    Chaowen Guan
    ,
    Jianhao He
    , John C. S. Lui