Some new conjugate orthogonal Latin squares. - Frank E. Bennett; Lisheng Wu; Lie Zhu (J. Comb. Theory A, 1987)

On minimum matrix representation of closure operations. - Frank E. Bennett; Lisheng Wu (Discret. Appl. Math., 1990)

Further results on incomplete (3, 2, 1)- conjugate orthogonal idempotent Latin squares. - Frank E. Bennett; Lisheng Wu; Lie Zhu (Discret. Math., 1990)

Incomplete self-orthogonal latin squares ISOLS(6m + 6, 2m) exist for all m. - Katherine Heinrich; Lisheng Wu; Lie Zhu (Discret. Math., 1991)

Minimum Matrix Representation of Sperner Systems. - Frank E. Bennett; Lisheng Wu (Discret. Appl. Math., 1998)

Unsupervised Deep Domain Adaptation for Pedestrian Detection. - Lihang Liu; Weiyao Lin; Lisheng Wu; Yong Yu 001; Michael Ying Yang (ECCV Workshops (2), 2016)

Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game. - Zheng Tian 002; Shihao Zou; Tim Warr; Lisheng Wu; Jun Wang 012 (CoRR, 2018)

Learning Shared Dynamics with Meta-World Models. - Lisheng Wu; Minne Li; Jun Wang 012 (CoRR, 2018)

Multi-View Reinforcement Learning. - Minne Li; Lisheng Wu; Jun Wang 012; Haitham Bou-Ammar (NeurIPS, 2019)

基于深度特征的足底曲面三角剖分重构 (Triangulation Reconstruction of Plantar Surface Based on Depth Feature). - Wenquan Meng; Lisheng Wu (计算机科学, 2019)

Learning to Communicate Implicitly by Actions. - Zheng Tian 002; Shihao Zou; Ian Davies; Tim Warr; Lisheng Wu; Haitham Bou-Ammar; Jun Wang 012 (AAAI, 2020)

FBMOT: Flow Bridges the Gap between Detection and Tracking in Multiple Object Tracking. - Lisheng Wu; Liuan Wang; Jun Sun 004 (AVSS, 2022)

Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning. - Lisheng Wu; Ke Chen (CoRR, 2022)

Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning. - Lisheng Wu; Ke Chen 001 (CoRR, 2023)

Multi-ant colony optimization based on bidirectional induction mechanism and cooperative game. - Lisheng Wu; Xiaoming You; Sheng Liu (Soft Comput., 2023)

Multi-ant colony algorithm based on cooperative game and dynamic path tracking. - Lisheng Wu; Xiaoming You; Sheng Liu (Comput. Networks, 2023)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning. - Lisheng Wu; Ke Chen 001 (CoRR, 2024)

Heterogeneous ant colony algorithm based on selective evolution mechanism and game strategy. - Lisheng Wu; Xiaoming You; Sheng Liu (J. Supercomput., 2024)

Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning. - Lisheng Wu; Ke Chen 001 (Mach. Learn., 2024)