Proving to the Coincidence of the Solutions of the Modified Problem with the Original Problem of Multi-class Support Vector Machine. - Xin Xue; Guoping He; Chenglong Zhao (FSKD (2), 2008)

Comprehensive Improved Simulated Annealing Optimization for Floorplanning of Heterogeneous 3D Networks-on-Chip. - Dakun Zhang; Guozhi Song; Kunliang Liu; Yong Ma; Chenglong Zhao; Xu An Wang 014 (J. Interconnect. Networks, 2015)

Variational Convolutional Neural Network Pruning. - Chenglong Zhao; Bingbing Ni; Jian Zhang 079; Qiwei Zhao; Wenjun Zhang 001; Qi Tian 001 (CVPR, 2019)

Variational Few-Shot Learning. - Jian Zhang 079; Chenglong Zhao; Bingbing Ni; Minghao Xu; Xiaokang Yang 001 (ICCV, 2019)

Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks. - Yunxiang Zhang; Chenglong Zhao; Bingbing Ni; Jian Zhang 079; Haoran Deng (CoRR, 2019)

Adversarial Attack on Video Retrieval. - Ying Zou 008; Chenglong Zhao; Bingbing Ni (ICVIP, 2020)

Learning Black-Box Attackers with Transferable Priors and Query Feedback. - Jiancheng Yang; Yangzhou Jiang; Xiaoyang Huang; Bingbing Ni; Chenglong Zhao (NeurIPS, 2020)

Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation. - Zhenbo Yu; Bingbing Ni; Jingwei Xu 005; Junjie Wang; Chenglong Zhao; Wenjun Zhang 001 (ICCV, 2021)

Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery. - Zhenbo Yu; Junjie Wang; Jingwei Xu 005; Bingbing Ni; Chenglong Zhao; Minsi Wang; Wenjun Zhang 001 (ICCV, 2021)

Energy Attack: On Transferring Adversarial Examples. - Ruoxi Shi; Borui Yang; Yangzhou Jiang; Chenglong Zhao; Bingbing Ni (CoRR, 2021)

Towards Bridging Sample Complexity and Model Capacity. - Shibin Mei; Chenglong Zhao; Shengchao Yuan; Bingbing Ni (AAAI, 2022)

Explore Adversarial Attack via Black Box Variational Inference. - Chenglong Zhao; Bingbing Ni; Shibin Mei (IEEE Signal Process. Lett., 2022)

Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. - Shibin Mei; Chenglong Zhao; Bingbing Ni; Shengchao Yuan (AAAI, 2023)

Exploring and Utilizing Pattern Imbalance. - Shibin Mei; Chenglong Zhao; Shengchao Yuan; Bingbing Ni (CVPR, 2023)

Torque optimization control strategy for pure electric motorcycles. - Chenglong Zhao; Guofu Wang; Tao Mo; Donghui Meng (ICCEIC, 2023)

Exploiting Channel Similarity for Network Pruning. - Chenglong Zhao; Yunxiang Zhang; Bingbing Ni (IEEE Trans. Circuits Syst. Video Technol., 2023)

PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation. - Jianlong Jin; Lei Shen; Ruixin Zhang; Chenglong Zhao; Ge Jin; Jingyun Zhang; Shouhong Ding; Yang Zhao 002; Wei Jia 001 (AAAI, 2024)

Object-Oriented Anchoring and Modal Alignment in Multimodal Learning. - Shibin Mei; Bingbing Ni; Hang Wang; Chenglong Zhao; Fengfa Hu; Zhiming Pi; Bilian Ke (ECCV (50), 2024)

Variational Adversarial Defense: A Bayes Perspective for Adversarial Training. - Chenglong Zhao; Shibin Mei; Bingbing Ni; Shengchao Yuan; Zhenbo Yu; Jun Wang 159 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks. - Sheng Shang; Chenglong Zhao; Ruixin Zhang; Jianlong Jin; Jingyun Zhang; Rizen Guo; Shouhong Ding; Yunsheng Wu; Yang Zhao 002; Wei Jia 001 (AAAI, 2025)

Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models. - Jianlong Jin; Chenglong Zhao; Ruixin Zhang; Sheng Shang; Jianqing Xu; Jingyun Zhang; Shaoming Wang; Yang Zhao 002; Shouhong Ding; Wei Jia 001; Yunsheng Wu (CVPR, 2025)

Development of Lower Limb Exoskeleton Rehabilitation Robot Framework Based on Multi-Modal Motion Intent Detection. - Yuefei Wang; Yudong Fang; Wujia Huang; Zhen Liu; Chenglong Zhao; Muxin Du; Liucun Zhu (IEEE Access, 2025)