End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution. - Mingxiang Liao; Fang Wan 001; Yuan Yao; Zhenjun Han; Jialing Zou; Yuze Wang 004; Bailan Feng; Peng Yuan; Qixiang Ye (ECCV (9), 2022)

AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Zonghao Guo; Yuze Wang 004; Peng Yuan; Bailan Feng; Fang Wan 001 (CVPR, 2023)

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective. - Mingxiang Liao; Hannan Lu; Qixiang Ye; Wangmeng Zuo; Fang Wan 001; Tianyu Wang; Yuzhong Zhao; Jingdong Wang 001; Xinyu Zhang 017 (NeurIPS, 2024)

DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution. - Yuzhong Zhao; Feng Liu; Yue Liu; Mingxiang Liao; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CoRR, 2024)

DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution. - Yuzhong Zhao; Feng Liu; Yue Liu; Mingxiang Liao; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CVPR, 2025)

Hierarchical AttentionShift for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Fang Wan 001; Zonghao Guo; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2025)