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publications
Self-Adaptive Multi-Agent Systems for StarCraft: Brood War
arXiv preprint, 2021
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
International Conference on Database Systems for Advanced Applications (DASFAA 2022), 2022
Promoting Quality and Diversity in Population-Based Reinforcement Learning via Hierarchical Trajectory Space Exploration
ICRA 2022, 2022
Robust Multi-Agent Reinforcement Learning Driven by Correlated Equilibrium
arXiv preprint, 2022
Heterogeneous Graph Neural Network-based Imitation Learning for Gate Sizing Acceleration
ICCAD 2022, 2022
Multiagent Q-Learning with Sub-Team Coordination
NeurIPS 2022, 2022
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System
Conference on Robot Learning (CoRL 2022), 2022
Learning to Shape Rewards Using a Game of Two Partners
AAAI 2023, 2023
Cooperative Multiagent Transfer Learning with Coalition Pattern Decomposition
IEEE Transactions on Games, vol. 16, no. 2, 2023
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
ICLR 2023, 2023
Leveraging Large Language Models for Optimised Coordination in Textual Multi-Agent Reinforcement Learning
arXiv preprint, 2023
Research and Applications of Game Intelligence
SCIENTIA SINICA Informationis, vol. 53, no. 10, 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
ICCV 2023, 2023
ChessGPT: Bridging Policy Learning and Language Modeling
NeurIPS 2023, 2023
A Survey on Algorithms for Nash Equilibria in Finite Normal-Form Games
Computer Science Review, vol. 51, 2024
ROS-LLM: A ROS Framework for Embodied AI with Task Feedback and Structured Reasoning
arXiv preprint arXiv:2406.19741, 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
ICML 2024, 2024
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
arXiv preprint arXiv:2411.03562, 2024
GUI Agents with Foundation Models: A Comprehensive Survey
arXiv preprint arXiv:2411.04890, 2024
Pangu-Agent: A Fine-tunable Generalist Agent with Structured Reasoning
arXiv preprint arXiv:2312.14878, 2024
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
ICLR 2025, 2025
Lightweight Neural App Control
ICLR 2025, 2025
AppVLM: A Lightweight Vision Language Model for Online App Control
ICLR 2025 Workshop on Foundation Models in the Wild, 2025
Deep Research Agents: A Systematic Examination and Roadmap
arXiv preprint arXiv:2506.18096, 2025
PerPilot: Personalizing VLM-based Mobile Agents via Memory and Exploration
arXiv preprint arXiv:2508.18040, 2025
Memento: Fine-tuning LLM Agents Without Fine-tuning LLMs
arXiv preprint arXiv:2508.16153, 2025
Kolb-Based Experiential Learning for Generalist Agents With Human-Level Kaggle Data Science Performance
arXiv preprint, 2025
Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
arXiv preprint arXiv:2510.14388, 2025
Adapting Like Humans: A Metacognitive Agent with Test-Time Reasoning
arXiv preprint arXiv:2511.23262, 2025
See-Control: A Multimodal Agent Framework for Smartphone Interaction with a Robotic Arm
arXiv preprint arXiv:2512.08629, 2025
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
NeurIPS 2025, 2025
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding
NeurIPS 2025, 2025
VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT
NeurIPS 2025 Workshop on Scaling Environments for Agents, 2025
ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
NeurIPS 2025, 2025
VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning
NeurIPS 2025 Workshop on VLM4RWD, 2025
Darwin Mobile Agent: A Roadmap for Self-Evolution
arXiv preprint, 2026
ScenDroid: A Scenario-Level Benchmark for Long-Horizon, Time-Evolving GUI Agents
ICLR 2026 Workshop on Lifelong Agents, 2026
ViMo: A Generative Visual GUI World Model for App Agents
ICLR 2026, 2026
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
arXiv preprint arXiv:2602.03224, 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
AAAI 2026, 2026
A Robot Operating System Framework for Using Large Language Models in Embodied AI
Nature Machine Intelligence, 2026
Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection
arXiv preprint arXiv:2604.07831, 2026
Memory Intelligence Agent
arXiv preprint arXiv:2604.04503, 2026
InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking
arXiv preprint arXiv:2604.02971, 2026
AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search
Proceedings of the ACM Web Conference 2026 (WWW 2026), 2026
Beyond Syntax: Action Semantics Learning for App Agents
CVPR 2026, 2026
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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