Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. - Zhenning Yu; Xin Liu 011; Yiu-Ming Cheung; Minghang Zhu; Xing Xu 001; Nannan Wang 001; Taihao Li (ICDM, 2022)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001 (CoRR, 2023)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (AAAI, 2024)

Simulating Financial Market via Large Language Model based Agents. - Shen Gao; Yuntao Wen; Minghang Zhu; Jianing Wei; Yuhan Cheng; Qunzi Zhang; Shuo Shang (CoRR, 2024)

DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. - Juhua Zhang; Zhiliang Tian; Minghang Zhu; Yiping Song; Taishu Sheng; Siyi Yang; Qiunan Du; Xinwang Liu 002; Minlie Huang; Dongsheng Li 001 (ACL (Findings), 2025)

DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement. - Yongshu Huang; Chen Liu; Minghang Zhu; Sheng Ao; Chenglu Wen; Cheng Wang 003 (CVPR, 2025)

Evolution without Large Models: Training Language Model with Task Principles. - Minghang Zhu; Shen Gao; Zhengliang Shi; Jiabao Fang; Pengjie Ren; Zhaochun Ren; Zhumin Chen; Shuo Shang (CoRR, 2025)