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2020 – today
- 2024
[j4]Chenglong Zhao
, Shibin Mei, Bingbing Ni, Shengchao Yuan, Zhenbo Yu, Jun Wang:
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3047-3063 (2024)- [c12]Jianlong Jin, Lei Shen, Ruixin Zhang, Chenglong Zhao, Ge Jin, Jingyun Zhang, Shouhong Ding, Yang Zhao, Wei Jia:
PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation. AAAI 2024: 2616-2624 - 2023
- [j3]Chenglong Zhao, Yunxiang Zhang, Bingbing Ni:
Exploiting Channel Similarity for Network Pruning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5049-5061 (2023) - [c11]Shibin Mei, Chenglong Zhao, Bingbing Ni, Shengchao Yuan:
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. AAAI 2023: 9126-9133 - [c10]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Exploring and Utilizing Pattern Imbalance. CVPR 2023: 7569-7578 - [c9]Chenglong Zhao, Guofu Wang, Tao Mo, Donghui Meng:
Torque optimization control strategy for pure electric motorcycles. ICCEIC 2023: 606-609 - 2022
- [j2]Chenglong Zhao, Bingbing Ni, Shibin Mei:
Explore Adversarial Attack via Black Box Variational Inference. IEEE Signal Process. Lett. 29: 2088-2092 (2022) - [c8]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Towards Bridging Sample Complexity and Model Capacity. AAAI 2022: 1972-1980 - 2021
- [c7]Zhenbo Yu, Junjie Wang, Jingwei Xu, Bingbing Ni, Chenglong Zhao, Minsi Wang, Wenjun Zhang:
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery. ICCV 2021: 8599-8609 - [c6]Zhenbo Yu, Bingbing Ni, Jingwei Xu, Junjie Wang, Chenglong Zhao, Wenjun Zhang:
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation. ICCV 2021: 8631 - [i3]Ruoxi Shi, Borui Yang, Yangzhou Jiang, Chenglong Zhao, Bingbing Ni:
Energy Attack: On Transferring Adversarial Examples. CoRR abs/2109.04300 (2021) - 2020
- [c5]Ying Zou, Chenglong Zhao, Bingbing Ni:
Adversarial Attack on Video Retrieval. ICVIP 2020: 174-178 - [c4]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. NeurIPS 2020 - [i2]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. CoRR abs/2010.11742 (2020)
2010 – 2019
- 2019
- [c3]Chenglong Zhao, Bingbing Ni, Jian Zhang, Qiwei Zhao, Wenjun Zhang, Qi Tian:
Variational Convolutional Neural Network Pruning. CVPR 2019: 2780-2789 - [c2]Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang:
Variational Few-Shot Learning. ICCV 2019: 1685-1694 - [i1]Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng:
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks. CoRR abs/1908.02620 (2019) - 2015
- [j1]Dakun Zhang, Guozhi Song, Kunliang Liu, Yong Ma, Chenglong Zhao, Xu An Wang:
Comprehensive Improved Simulated Annealing Optimization for Floorplanning of Heterogeneous 3D Networks-on-Chip. J. Interconnect. Networks 15(3-4): 1540006:1-1540006:19 (2015)
2000 – 2009
- 2008
- [c1]Xin Xue, Guoping He, Chenglong Zhao:
Proving to the Coincidence of the Solutions of the Modified Problem with the Original Problem of Multi-class Support Vector Machine. FSKD (2) 2008: 43-47
Coauthor Index
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