Densely Connected Single-Shot Detector. - Pei Xu 003; Xin Zhao 012; Kaiqi Huang (ICPR, 2018)

Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games. - Pei Xu 003; Qiyue Yin; Junge Zhang; Kaiqi Huang (IEEE Trans. Games, 2022)

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. - Pei Xu 003; Junge Zhang; Qiyue Yin; Chao Yu 004; Yaodong Yang 001; Kaiqi Huang (AAAI, 2023)

Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. - Pei Xu 003; Junge Zhang; Kaiqi Huang (IJCAI, 2023)

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. - Yang Yu 056; Qiyue Yin; Junge Zhang; Pei Xu 003; Kaiqi Huang (IJCAI, 2024)

Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. - Pei Xu 003; Junge Zhang; Kaiqi Huang (IJCAI, 2024)

Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning. - Likun Yang; Pei Xu 003; Shiyue Cao; Yongjian Ren; Xiaotang Chen; Kaiqi Huang (AAMAS, 2025)

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. - Yuxiang Mai; Qiyue Yin; Wancheng Ni; Pei Xu 003; Kaiqi Huang (IJCAI, 2025)

Learning differentiable categorical regions with Gumbel-Softmax for person re-identification. - Wenjie Yang 005; Pei Xu 003 (Neurocomputing, 2025)

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models. - Qiyue Yin; Pei Xu 003; Qiaozhe Li; Shengda Liu; Shengqi Shen; Tong Wang; Yihong Han; Xiaonan Zhao; Likun Yang; Shiyue Cao; Shiyu Qiu; Yuxuan Liu; et al. (CoRR, 2025)

Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning. - Chen Yang; Pei Xu 003; Junge Zhang (IEEE Trans. Games, 2025)

Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks. - Pei Xu 003; Hao Chen 103; Wenjie Yang 005; Kaiqi Huang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games. - Yanchang Fu; Qiyue Yin; Shengda Liu; Pei Xu 003; Kaiqi Huang (CoRR, 2025)

KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything. - Yanchang Fu; Qiyue Yin; Shengda Liu; Pei Xu 003; Kaiqi Huang (CoRR, 2025)

No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding. - Yanchang Fu; Shengda Liu; Pei Xu 003; Kaiqi Huang (AAAI, 2026)

RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents. - Yuxiang Mai; Qiyue Yin; Wancheng Ni; Jianwei Guo; Xiaogang Ouyang; Pei Xu 003; Kaiqi Huang (AAAI, 2026)

Repeated Deceptive Path Planning against Learnable Observer. - Shiyue Cao; Pei Xu 003; Likun Yang; Lei Cui; Shizhao Yu; Shiyu Zhang; Yongjian Ren; Xiaotang Chen; Kaiqi Huang (CoRR, 2026)

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model. - Shiyue Cao; Pei Xu 003; Likun Yang; Lei Cui; Xiaotang Chen; Kaiqi Huang (CoRR, 2026)