The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Lian Zhuo; Ze Wang 008; Jungong Han; Xiantong Zhen (CoRR, 2018)

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. - Li'an Zhuo; Baochang Zhang 001; Chen Chen 001; Qixiang Ye; Jianzhuang Liu; David S. Doermann (AAAI, 2019)

Binarized Neural Architecture Search. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; David S. Doermann; Rongrong Ji (AAAI, 2020)

Cogradient Descent for Bilinear Optimization. - Li'an Zhuo; Baochang Zhang 001; Linlin Yang; Hanlin Chen; Qixiang Ye; David S. Doermann; Rongrong Ji; Guodong Guo (CVPR, 2020)

CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. - Li'an Zhuo; Baochang Zhang 001; Hanlin Chen; Linlin Yang; Chen Chen 001; Yanjun Zhu; David S. Doermann (IJCAI, 2020)

Tailored Pruning via Rollback Learning. - Xin Xia 005; Wenrui Ding; Li'an Zhuo; Baochang Zhang 001 (NCAA, 2020)

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. - Li'an Zhuo; Baochang Zhang 001; Hanlin Chen; Linlin Yang; Chen Chen 001; Yanjun Zhu; David S. Doermann (CoRR, 2020)

The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Wankou Yang; Ze Wang 008; Lian Zhuo; Jungong Han; Xiantong Zhen (IEEE Trans. Image Process., 2020)

A Virtual Character Generation and Animation System for E-Commerce Live Streaming. - Li Hu; Bang Zhang; Peng Zhang 080; Jinwei Qi; Jian Cao; Daiheng Gao; Haiming Zhao; Xiaoduan Feng; Qi Wang; Lian Zhuo; Pan Pan; Yinghui Xu (ACM Multimedia, 2021)

Deformable Gabor Feature Networks for Biomedical Image Classification. - Xuan Gong; Xin Xia 005; Wentao Zhu 001; Baochang Zhang 001; David S. Doermann; Li'an Zhuo (WACV, 2021)

Cogradient Descent for Dependable Learning. - Runqi Wang; Baochang Zhang 001; Li'an Zhuo; Qixiang Ye; David S. Doermann (CoRR, 2021)

Binarized Neural Architecture Search for Efficient Object Recognition. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; Rongrong Ji; David S. Doermann; Guodong Guo (Int. J. Comput. Vis., 2021)

One-stage Action Detection Transformer. - Lijun Li; Li'an Zhuo; Bang Zhang (CoRR, 2022)

Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization. - Li'an Zhuo; Jian Cao; Qi Wang; Bang Zhang; Liefeng Bo (CVPR, 2023)

DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models. - Lijun Li; Li'an Zhuo; Bang Zhang; Liefeng Bo; Chen Chen 001 (CoRR, 2023)

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. - Yanjing Li; Sheng Xu 007; Xianbin Cao 001; Li'an Zhuo; Baochang Zhang 001; Tian Wang 002; Guodong Guo (Int. J. Comput. Vis., 2023)

OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person. - Ke Sun; Jian Cao; Qi Wang; Linrui Tian; Xindi Zhang; Lian Zhuo; Bang Zhang; Liefeng Bo; Wenbo Zhou; Weiming Zhang 001; Daiheng Gao (CoRR, 2024)

Calibrated gradient descent of convolutional neural networks for embodied visual recognition. - Zhiming Wang; Sheng Xu 007; Li'an Zhuo; Baochang Zhang 001; Yanjing Li; Zhenqian Wang; Guodong Guo (Image Vis. Comput., 2025)

Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance. - Li Hu; Guangyuan Wang; Zhen Shen; Xin Gao; Dechao Meng; Lian Zhuo; Peng Zhang 080; Bang Zhang; Liefeng Bo (CoRR, 2025)