Guojun Xiong
Tenured Track Associate Professor
Works on structured reinforcement learning and multi-agent RL for decision making in networked systems.
Guojun Xiong's lab at SJTU works on reinforcement learning, reasoning & neuro-symbolic AI and planning, control & multi-robot systems. 24 papers since 2023, 13 at top venues, mostly AAAI and AAMAS. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 54%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 9 papers2025 · T1 4
- 9 papers2024 · T1 4
- 3 papers2023 · T1 2
T1 venuesOtherVenues: AAAI, AAMAS, ICLR, NeurIPS, ICC
Research focuspaper titles that use each topic's words
- Reinforcement learning17 papers
- Planning, control & multi-robot systems11 papers
- structured1 paper
- Reasoning & neuro-symbolic AI0 papers
- networked systems0 papers
Paper list
From the lab homepage.
20263 papers
- AAMAS (T1)Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning
- AAMAS (T1)MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
- AAAI (T1)VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping
20259 papers
- NeurIPS (Spotlight).Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
- AAAI (T1)Decentralized Federated Learning with Model Caching on Mobile Agents
- ICLR (T1)Direct Online Preference Learning for Restless Multi-Armed Bandits with Preference Feedback
- AAMAS (T1)Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
- ACL Findings.FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
- ICLR WorkshopMPAW: Multi-Preference Alignment through Weak Model Collaboration for Efficient and Flexible LLM Decoding
- ICCMulti-Agent Reinforcement Learning Aided Smart Agriculture Networks
- ACM SIGMETRICS Workshop (AI Crossroads: Systems, Energy, and Applications).Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
- ICLR (T1)On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
20249 papers
- AAAI (T1)DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
- Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie. NeurIPS .FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
- AAAI (T1)Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
- Reinforcement Learning ConferencePersonalized Federated Reinforcement Learning with Shared Representations
- ICML (T1)Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
- AIoTStraggler-resilient decentralized learning via adaptive asynchronous updates
- (IEEE Transaction on Wireless Communication )Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
- NeurIPS (T1)The Finben: An Holistic Financial Benchmark for Large Language Models
- (IEEE/ACM Transactions on Networking )Whittle Index-based Q-Learning for Wireless Edge Caching with Linear Function Approximation
20233 papers
- AAAI (T1)Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
- NeurIPS (T1)Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
- (IEEE/ACM Transactions on Networking ).Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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