Li'an Zhuo

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Neural Architecture

Limited Discrepancy Search

Top Venues

Int. J. Comput. Vis.

Publications

Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. CoRR (2023)
Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models. CoRR (2023)
Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. Int. J. Comput. Vis. 131 (11) (2023)
Li'an Zhuo, Jian Cao, Qi Wang, Bang Zhang, Liefeng Bo
Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization. CVPR (2023)
Lijun Li, Li'an Zhuo, Bang Zhang
One-stage Action Detection Transformer. CoRR (2022)
Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann
Cogradient Descent for Dependable Learning. CoRR (2021)
Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV (2021)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129 (2) (2021)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR (2020)
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. IJCAI (2020)
Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji
Cogradient Descent for Bilinear Optimization. CoRR (2020)
Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo
Cogradient Descent for Bilinear Optimization. CVPR (2020)
Xin Xia, Wenrui Ding, Li'an Zhuo, Baochang Zhang
Tailored Pruning via Rollback Learning. NCAA (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
Binarized Neural Architecture Search. AAAI (2020)
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. CoRR (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
Binarized Neural Architecture Search. CoRR (2019)
Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. AAAI (2019)