Shuai Li
副教授
Works on machine learning theory, including reinforcement learning theory and online learning.
Shuai Li's lab at SJTU works on learning theory & optimization and reinforcement learning. 81 papers since 2023, 28 at top venues, mostly NeurIPS and AAAI. 13 PhD students and 6 master's students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 21/ year
- at T1 venues
- 35%
- PhD students
- 13
- MS students
- 6
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 23 papers2026 · T1 0 · collecting
- 17 papers2025 · T1 0
- 20 papers2024 · T1 9
- 21 papers2023 · T1 19
T1 venuesOtherVenues: NeurIPS, AAAI, AAMAS, ICLR, WSDM
Research focuspaper titles that use each topic's words
- Learning theory & optimization40 papers
- Reinforcement learning36 papers
- online learning1 paper
- learning theory0 papers
- theory0 papers
Paper list
From the lab homepage.
202623 papers
- Accepted in AACL-IJCNLPA Systematic Review of Meta-Reasoning for Large Reasoning Models
- Accepted in ICANN (Oral)AdaReP:Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control
- Accepted in CIKMAnytime-Valid Multi-Objective Online Experimentation with Contrast Certificates
- Accepted in UAIBandit Learning for Online Scheduling with Immediate Decision
- Theoretical Computer Science (TCS)Bandit learning in matching markets with relative feedback
- Accepted in EMNLPBORA-BUDGET: Learning When to Think Under a Token Budget
- Theoretical Computer Science (TCS)Contextual combinatorial conservative bandits
- Accepted in AAMAS (extended abstract)Decentralized Asynchronous Multi-player Bandits
- Accepted in UAIEvaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration
- Accepted in CIKMFISolver: Data-Driven Discovery of First Integrals via Backward Generation and Guided Reinforcement Learning
- KDD AI for Science Track (Oral, Best Paper Runner Up)From Surface to Depth: Diagnosing Ocean Vertical Velocity with 3D Frequency Operator
- Accepted in NeurIPSGroup Distributionally Robust Optimization with Flexible Sample Queries
202517 papers
- Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI, Survey Track)A Survey on Bandit Learning in Matching Markets
- Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, IAAI Technical Track on Deployed Highly Innovative Applications of AI)Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce
- The Thirteenth International Conference on Learning Representations (ICLR)Bandit Learning in Matching Markets with Indifference
- Proceedings of the International Conference on Computational Linguistics (COLING)Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
- Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition
- Proceedings of the International Conference on Machine Learning (ICML)Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
- Proceedings of the ACM on Web Conference (WWW, Oral)Interactive Visualization Recommendation with Hier-SUCB
- Proceedings of the International Conference on Machine Learning (ICML)Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
- The Conference on Neural Information Processing Systems (NeurIPS)Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
- Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, Oral)Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
- The International Symposium on Combinatorial Search (SoCS, position long paper)Multi-armed Bandit Algorithms for the Boolean Satisfiability Problem: A Survey
- Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)Multi-player Multi-armed Bandits with Delayed Feedback
202420 papers
- Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
- NeurIPS (T1)Calibrating Reasoning in Language Models with Internal Consistency
- Proceedings of the International Conference on Machine Learning (ICML)Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
- iScience, (VolumeDeep learning model to discriminate diverse infection types based on pairwise analysis of host gene expression
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Exploring Soft Prompt Initialization Strategy for Few-shot Continual Text Classification
- NeurIPS (T1)Few-Shot Diffusion Models Escape the Curse of Dimensionality
- Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hallucination Diversity-Aware Active Learning for Text Summarization
- NeurIPS (T1)Improved Analysis for Bandit Learning in Matching Markets
- AAAI (T1)Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
- TMLR (T1)Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
- Proceedings of the International Conference on Machine Learning (ICML)In-Context Learning on Function Classes Unveiled for Transformers
- WSDM (T1)Interact with the Explanations: Causal Debiased Explainable Recommendation System
202321 papers
- NeurIPS (T1)Adversarial Attacks on Online Learning to Rank with Click Feedback
- COLT (T1)Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm
- BioinformaticsbvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks
- UMUAIClustering of Conversational Bandits with Posterior Sampling for User Preference Learning and Elicitation
- AAMAS (T1)CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning
- WSDM (T1)Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
- IJCAI (T1)DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
- AAAI (T1)Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits
- AAAI (T1)Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
- ICML (T1)Future-conditioned Unsupervised Pretraining for Decision Transformer
- NeurIPS (T1)InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
- ICLR (T1)Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
Where alumni went4 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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