Siwei Wang

Senior Researcher

论文与出版物

查看方式：

- Continuous Semantic Caching for Low-Cost LLM Serving
  
  Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
  
  Proceedings of the 27th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc) | November 2026
  
  PDF Publication
- Confidence-Gated Transductive Test Generation for Code Reranking
  
  Sungjae Lee, Youngsik Yoon, Seockbean Song, Wei Chen, Siwei Wang, Jungseul Ok
  
  Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2026
  
  PDF Publication
- Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- On the Sublinear Regret of Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
  
  PDF Preprint
- PaT: Planning-after-Trial for Efficient Test-Time Code Generation
  
  Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
  
  PDF
- When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
  
  Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Decentralized Asynchronous Multi-player Bandits
  
  Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
  
  25th International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) | May 2026
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF DOI Publication
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Rising Multi-Armed Bandits with Known Horizons
  
  Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ArXiv | February 2026, 第 abs/2602.10727 卷
  
  Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
  
  PDF
- Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  ArXiv | February 2025, 第 abs/2502.13467 卷
  
  Publication Publication
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
  
  Jiayuan Liu, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
  
  PDF
- Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
  
  Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- A Game-theoretic Framework for Privacy-preserving Federated Learning
  
  Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
  
  ACM Transactions on Intelligent Systems and Technology | May 2024, 第 15 卷: pp. 1-35
  
  DOI Publication Publication Publication
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  International Conference on Learning Representations | May 2024
  
  PDF
- Whittle Index with Multiple Actions and State Constraint for Inventory Management
  
  Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
  
  International Conference on Learning Representations | May 2024
  
  Publication
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  ICLR 2024 | July 2023
  
  DOI PDF
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The Eleventh International Conference on Learning Representations | May 2023
  
  Publication
- Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
  
  Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Matching in Multi-arm Bandit with Collision
  
  Yirui Zhang, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Thompson Sampling for (Combinatorial) Pure Exploration
  
  Siwei Wang, Jun Zhu
  
  International Conference on Machine Learning | July 2022
  
  PDF
- Continuous Mean-Covariance Bandits
  
  Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
  
  Neural Information Processing Systems | December 2021
  
  Publication
- A One-Size-Fits-All Solution to Conservative Bandit Problems
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
  
  Siwei Wang, Haoyun Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
  
  Siwei Wang, Longbo Huang, John C.S. Lui
  
  Neural Information Processing Systems | December 2020
  
  PDF
- Dueling Bandits: From Two-dueling to Multi-dueling
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
  
  PDF
- Multi-armed Bandits with Compensation
  
  Siwei Wang, Longbo Huang
  
  Neural Information Processing Systems | December 2018
  
  PDF
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
  
  Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
  
  IEEE Transactions on Information Theory | April 2016
  
  PDF

- Continuous Semantic Caching for Low-Cost LLM Serving
  
  Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
  
  Proceedings of the 27th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc) | November 2026
  
  PDF Publication
- Confidence-Gated Transductive Test Generation for Code Reranking
  
  Sungjae Lee, Youngsik Yoon, Seockbean Song, Wei Chen, Siwei Wang, Jungseul Ok
  
  Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2026
  
  PDF Publication
- On the Sublinear Regret of Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
  
  PDF Preprint
- PaT: Planning-after-Trial for Efficient Test-Time Code Generation
  
  Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
  
  PDF
- Decentralized Asynchronous Multi-player Bandits
  
  Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
  
  25th International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) | May 2026
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF DOI Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  ArXiv | February 2025, 第 abs/2502.13467 卷
  
  Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Continuous Semantic Caching for Low-Cost LLM Serving
  
  Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
  
  Proceedings of the 27th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc) | November 2026
  
  PDF Publication
- Confidence-Gated Transductive Test Generation for Code Reranking
  
  Sungjae Lee, Youngsik Yoon, Seockbean Song, Wei Chen, Siwei Wang, Jungseul Ok
  
  Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2026
  
  PDF Publication
- Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- On the Sublinear Regret of Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
  
  PDF Preprint
- PaT: Planning-after-Trial for Efficient Test-Time Code Generation
  
  Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
  
  PDF
- When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
  
  Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Decentralized Asynchronous Multi-player Bandits
  
  Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
  
  25th International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) | May 2026
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF DOI Publication
- Rising Multi-Armed Bandits with Known Horizons
  
  Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ArXiv | February 2026, 第 abs/2602.10727 卷
  
  Publication Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
  
  PDF
- Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  ArXiv | February 2025, 第 abs/2502.13467 卷
  
  Publication Publication
- Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
  
  Jiayuan Liu, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
  
  PDF
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
  
  Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- A Game-theoretic Framework for Privacy-preserving Federated Learning
  
  Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
  
  ACM Transactions on Intelligent Systems and Technology | May 2024, 第 15 卷: pp. 1-35
  
  DOI Publication Publication Publication
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  International Conference on Learning Representations | May 2024
  
  PDF
- Whittle Index with Multiple Actions and State Constraint for Inventory Management
  
  Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
  
  International Conference on Learning Representations | May 2024
  
  Publication
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  ICLR 2024 | July 2023
  
  DOI PDF
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The Eleventh International Conference on Learning Representations | May 2023
  
  Publication
- Matching in Multi-arm Bandit with Collision
  
  Yirui Zhang, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
  
  Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Thompson Sampling for (Combinatorial) Pure Exploration
  
  Siwei Wang, Jun Zhu
  
  International Conference on Machine Learning | July 2022
  
  PDF
- Continuous Mean-Covariance Bandits
  
  Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
  
  Neural Information Processing Systems | December 2021
  
  Publication
- Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
  
  Siwei Wang, Haoyun Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- A One-Size-Fits-All Solution to Conservative Bandit Problems
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
  
  Siwei Wang, Longbo Huang, John C.S. Lui
  
  Neural Information Processing Systems | December 2020
  
  PDF
- Dueling Bandits: From Two-dueling to Multi-dueling
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
  
  PDF
- Multi-armed Bandits with Compensation
  
  Siwei Wang, Longbo Huang
  
  Neural Information Processing Systems | December 2018
  
  PDF
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
  
  Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Rising Multi-Armed Bandits with Known Horizons
  
  Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ArXiv | February 2026, 第 abs/2602.10727 卷
  
  Publication Publication
- Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
  
  Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
  
  IEEE Transactions on Information Theory | April 2016
  
  PDF
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF

- Continuous Semantic Caching for Low-Cost LLM Serving
  
  Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
  
  Proceedings of the 27th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc) | November 2026
  
  PDF Publication
- Confidence-Gated Transductive Test Generation for Code Reranking
  
  Sungjae Lee, Youngsik Yoon, Seockbean Song, Wei Chen, Siwei Wang, Jungseul Ok
  
  Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2026
  
  PDF Publication
- On the Sublinear Regret of Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
  
  PDF Preprint
- PaT: Planning-after-Trial for Efficient Test-Time Code Generation
  
  Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
  
  PDF
- Decentralized Asynchronous Multi-player Bandits
  
  Jingqi Fan, Canzhe Zhao, Shuai Li, Siwei Wang
  
  25th International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) | May 2026
  
  Publication
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
  
  Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
  
  IEEE International Conference on Computer Communications (INFOCOM) | May 2026
  
  PDF Preprint
- Combinatorial Rising Bandits
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF Preprint
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
  
  Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
  
  The 14th International Conference on Learning Representations (ICLR) | April 2026
  
  PDF DOI Publication
- Mechanism Design for LLM Fine-tuning with Multiple Reward Models
  
  Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
  
  Neural Information Processing Systems (NeurIPS) 2025 | December 2025
  
  PDF
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
  
  PDF
- Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
  
  Jiayuan Liu, Siwei Wang, Zhixuan Fang
  
  The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
  
  PDF
- ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
  
  Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
  
  Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  
  Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
  
  Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
  
  PDF
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  International Conference on Learning Representations | May 2024
  
  PDF
- Whittle Index with Multiple Actions and State Constraint for Inventory Management
  
  Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
  
  International Conference on Learning Representations | May 2024
  
  Publication
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
  
  Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
  
  ICLR 2024 | July 2023
  
  DOI PDF
- Contextual Combinatorial Bandits with Probabilistically Triggered Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
  
  Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
  
  PDF Preprint
- Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The Eleventh International Conference on Learning Representations | May 2023
  
  Publication
- Matching in Multi-arm Bandit with Collision
  
  Yirui Zhang, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
  
  Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
  
  NeurIPS 2022 | December 2022
  
  PDF
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
  
  PDF
- Thompson Sampling for (Combinatorial) Pure Exploration
  
  Siwei Wang, Jun Zhu
  
  International Conference on Machine Learning | July 2022
  
  PDF
- Continuous Mean-Covariance Bandits
  
  Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
  
  Neural Information Processing Systems | December 2021
  
  Publication
- Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
  
  Siwei Wang, Haoyun Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- A One-Size-Fits-All Solution to Conservative Bandit Problems
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  The AAAI Conference on Artificial Intelligence | February 2021
  
  PDF
- Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
  
  Siwei Wang, Longbo Huang, John C.S. Lui
  
  Neural Information Processing Systems | December 2020
  
  PDF
- Dueling Bandits: From Two-dueling to Multi-dueling
  
  Yihan Du, Siwei Wang, Longbo Huang
  
  International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
  
  PDF
- Multi-armed Bandits with Compensation
  
  Siwei Wang, Longbo Huang
  
  Neural Information Processing Systems | December 2018
  
  PDF
- Thompson Sampling for Combinatorial Semi-Bandits
  
  Siwei Wang, Wei Chen
  
  Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
  
  PDF
- Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs
  
  Junning Shao, Siwei Wang, Zhixuan Fang
  
  September 2026
  
  arXiv | September 2026
  
  Publication
- When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
  
  Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Rising Multi-Armed Bandits with Known Horizons
  
  Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ArXiv | February 2026, 第 abs/2602.10727 卷
  
  Publication Publication
- Continuous K-Max Bandits
  
  Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
  
  ArXiv | February 2025, 第 abs/2502.13467 卷
  
  Publication Publication
- A Game-theoretic Framework for Privacy-preserving Federated Learning
  
  Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
  
  ACM Transactions on Intelligent Systems and Technology | May 2024, 第 15 卷: pp. 1-35
  
  DOI Publication Publication Publication
- The pure exploration problem with general reward functions depending on full distributions
  
  Siwei Wang, Wei Chen
  
  Machine Learning | July 2022
  
  Publication
- Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
  
  Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
  
  IEEE Transactions on Information Theory | April 2016
  
  PDF

Siwei Wang

论文与出版物

Continuous Semantic Caching for Low-Cost LLM Serving

Confidence-Gated Transductive Test Generation for Code Reranking

Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs

On the Sublinear Regret of Continuous K-Max Bandits

PaT: Planning-after-Trial for Efficient Test-Time Code Generation

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models

Decentralized Asynchronous Multi-player Bandits

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Combinatorial Rising Bandits

Rising Multi-Armed Bandits with Known Horizons

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Offline Learning for Combinatorial Multi-armed Bandits

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit

Continuous K-Max Bandits

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

A Game-theoretic Framework for Privacy-preserving Federated Learning

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback

Whittle Index with Multiple Actions and State Constraint for Inventory Management

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation

Contextual Combinatorial Bandits with Probabilistically Triggered Arms

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path

Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness

Matching in Multi-arm Bandit with Collision

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms

The pure exploration problem with general reward functions depending on full distributions

Thompson Sampling for (Combinatorial) Pure Exploration

Continuous Mean-Covariance Bandits

A One-Size-Fits-All Solution to Conservative Bandit Problems

Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback

Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits

Dueling Bandits: From Two-dueling to Multi-dueling

Multi-armed Bandits with Compensation

Thompson Sampling for Combinatorial Semi-Bandits

Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality

Continuous Semantic Caching for Low-Cost LLM Serving

Confidence-Gated Transductive Test Generation for Code Reranking

On the Sublinear Regret of Continuous K-Max Bandits

PaT: Planning-after-Trial for Efficient Test-Time Code Generation

Decentralized Asynchronous Multi-player Bandits

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation

Combinatorial Rising Bandits

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Offline Learning for Combinatorial Multi-armed Bandits

Continuous K-Max Bandits

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms

Thompson Sampling for Combinatorial Semi-Bandits

Continuous Semantic Caching for Low-Cost LLM Serving

Confidence-Gated Transductive Test Generation for Code Reranking

Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs

On the Sublinear Regret of Continuous K-Max Bandits

PaT: Planning-after-Trial for Efficient Test-Time Code Generation

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models

Decentralized Asynchronous Multi-player Bandits

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation

Combinatorial Rising Bandits

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Rising Multi-Armed Bandits with Known Horizons

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Offline Learning for Combinatorial Multi-armed Bandits

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit

Continuous K-Max Bandits

Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond

A Game-theoretic Framework for Privacy-preserving Federated Learning

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback

Whittle Index with Multiple Actions and State Constraint for Inventory Management

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation

Contextual Combinatorial Bandits with Probabilistically Triggered Arms

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path

Matching in Multi-arm Bandit with Collision