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Lian Zhuo
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2020 – today
- 2023
- [j3]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): 2793-2815 (2023) - [c8]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: 650-659 - [i10]Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen:
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models. CoRR abs/2305.13705 (2023) - [i9]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 abs/2306.15390 (2023) - 2022
- [i8]Lijun Li, Li'an Zhuo, Bang Zhang:
One-stage Action Detection Transformer. CoRR abs/2206.10080 (2022) - 2021
- [j2]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): 501-516 (2021) - [c7]Li Hu, Bang Zhang, Peng Zhang, Jinwei Qi, Jian Cao, Daiheng Gao, Haiming Zhao, Xiaoduan Feng, Qi Wang, Lian Zhuo, Pan Pan, Yinghui Xu:
A Virtual Character Generation and Animation System for E-Commerce Live Streaming. ACM Multimedia 2021: 1202-1211 - [c6]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV 2021: 4003-4011 - [i7]Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann:
Cogradient Descent for Dependable Learning. CoRR abs/2106.10617 (2021) - 2020
- [j1]Baochang Zhang
, Wankou Yang
, Ze Wang, Lian Zhuo, Jungong Han
, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. 29: 2889-2902 (2020) - [c5]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. AAAI 2020: 10526-10533 - [c4]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: 7956-7964 - [c3]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: 1033-1039 - [c2]Xin Xia, Wenrui Ding, Li'an Zhuo, Baochang Zhang:
Tailored Pruning via Rollback Learning. NCAA 2020: 119-131 - [i6]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 abs/2005.00057 (2020) - [i5]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji:
Cogradient Descent for Bilinear Optimization. CoRR abs/2006.09142 (2020) - [i4]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 abs/2009.04247 (2020) - [i3]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR abs/2012.04109 (2020)
2010 – 2019
- 2019
- [c1]Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. AAAI 2019: 9348-9355 - [i2]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. CoRR abs/1911.10862 (2019) - 2018
- [i1]Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. CoRR abs/1804.00243 (2018)
Coauthor Index
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