Ziming Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 120

Top Venues

Oxford Brookes University, UK (PHD)

Education History

Oxford Brookes University, UK

PHD

Publications

Ziming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang
Self-supervised neural network-based endoscopic monocular 3D reconstruction method. Health Inf. Sci. Syst. 12 (1) (2024)
Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao
Dynamic Obstacle Avoidance Path Planning of Unmanned Vehicle Based on Improved APF. ISCSIC (2023)
Yuanyuan Yue, Qingshan Liu, Ziming Zhang
A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. ICONIP (1) (2023)
Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
Domain Disentangled Meta-Learning. SDM (2023)
Yiqing Zhang, Xinming Huang, Ziming Zhang
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CVPR (2023)
Ming Li, Xinming Huang, Ziming Zhang
Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version). CoRR (2023)
Yiming Zhao, Mahdi Elhousni, Ziming Zhang, Xinming Huang
Distance Transform Pooling Neural Network for LiDAR Depth Completion. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang
Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM (2023)
Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen
Weakly Semi-Supervised Oriented Object Detection with Points. ICIP (2023)
Ziming Zhang, Xiaolong Xu, Fu Xiao
LGAN-DP: A novel differential private publication mechanism of trajectory data. Future Gener. Comput. Syst. 141 (2023)
Yiqing Zhang, Xinming Huang, Ziming Zhang
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CoRR (2023)
Yecheng Lyu, Xinming Huang, Ziming Zhang
Revisiting 2D Convolutional Neural Networks for Graph-Based Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao
Obstacle Avoidance Formation Control of Unmanned Ground Vehicles Based on a Game-Theoretic Approach. ICARM (2023)
Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS (2023)
Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM (2023)
M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang
Don't Knock! Rowhammer at the Backdoor of DNN Models. DSN (2023)
Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang
Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV (2023)
Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang
Hyperbolic Contrastive Learning. CoRR (2023)
Ziming Zhang, Wenjia Wang, Zihan Zhao, Erfu Wang
PVO-based reversible data hiding using bit plane segmentation and pixel expansion. J. Inf. Secur. Appl. 79 (2023)
Ming Li, Jun Liu, Ce Zheng, Xinming Huang, Ziming Zhang
Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification. IEEE Trans. Multim. 25 (2023)
Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV (2023)
Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder
MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. CIKM (2023)
Shuaiyuan Du, Chaoyi Hong, Yinpeng Chen, Zhiguo Cao, Ziming Zhang
Class-attribute inconsistency learning for novelty detection. Pattern Recognit. 126 (2022)
Zhibao Wang, Ziming Zhang, Lu Bai, Yuze Yang, Qiang Ma
Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images. IGARSS (2022)
Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR (2022)
Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS (2022)
Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang
Prediction of Metacarpophalangeal Joint Angles and Classification of Hand Configurations Based on Ultrasound Imaging of the Forearm. ICRA (2022)
Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CoRR (2022)
Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
Robust Object Detection with Inaccurate Bounding Boxes. ECCV (10) (2022)
Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan
A segmentation method of airway from chest CT image based on VGG-Unet neural network. BIBM (2022)
Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang
Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound. CoRR (2022)
Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. ICMLA (2022)
Mahdi Elhousni, Ziming Zhang, Xinming Huang
LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter. Sensors 22 (14) (2022)
Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
Robust Object Detection With Inaccurate Bounding Boxes. CoRR (2022)
Yecheng Lyu, Xinming Huang, Ziming Zhang
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. WACV (2022)
Ziming Zhang, Xiaolong Xu, Fu Xiao
5GMEC-DP: Differentially private protection of trajectory data based on 5G-based mobile edge computing. Comput. Networks 218 (2022)
Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? Big Data (2022)
Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada
Cosmos Propagation Network: Deep learning model for point cloud completion. Neurocomputing 507 (2022)
Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CVPR (2022)
Hongtao Xue, Dianyong Ding, Ziming Zhang, Meng Wu, Huaqing Wang
A Fuzzy System of Operation Safety Assessment Using Multimodel Linkage and Multistage Collaboration for In-Wheel Motor. IEEE Trans. Fuzzy Syst. 30 (4) (2022)
Yiming Zhao, Xinming Huang, Ziming Zhang
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CVPR (2021)
Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang
LiDAR Odometry Methodologies for Autonomous Driving: A Survey. CoRR (2021)
Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang
A Surface Geometry Model for LiDAR Depth Completion. CoRR (2021)
Yecheng Lyu, Xinming Huang, Ziming Zhang
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map. CoRR (2021)
Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM (2021)
Yiming Zhao, Xinming Huang, Ziming Zhang
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CoRR (2021)
Mahdi Elhousni, Ziming Zhang, Xinming Huang
Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance. IEEE Access 9 (2021)
Yuanwei Wu, Ziming Zhang, Guanghui Wang
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. CoRR (2021)
Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang
Imitation Learning From Inconcurrent Multi-Agent Interactions. CDC (2021)
Yecheng Lyu, Xinming Huang, Ziming Zhang
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. CoRR (2021)
Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang
A Surface Geometry Model for LiDAR Depth Completion. IEEE Robotics Autom. Lett. 6 (3) (2021)
Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM (2021)
Xihan Ma, Ziming Zhang, Haichong K. Zhang
Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. IROS (2021)
Yecheng Lyu, Xinming Huang, Ziming Zhang
Revisiting 2D Convolutional Neural Networks for Graph-based Applications. CoRR (2021)
Keshav Bimbraw, Christopher Julius Nycz, Matt Schueler, Ziming Zhang, Haichong K. Zhang
Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm. CoRR (2021)
Johnathan Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening. EMBC (2021)
Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS (2021)
M. Caner Tol, Saad Islam, Berk Sunar, Ziming Zhang
An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware. CoRR (2021)
Ming Li, Xinming Huang, Ziming Zhang
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. ICCV (2021)
Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
Corrosion Image Data Set for Automating Scientific Assessment of Materials. BMVC (2021)
Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang
Self-Supervised Visual Attention Learning for Vehicle Re-Identification. CoRR (2020)
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. CoRR (2020)
Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. WACV (2020)
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation. ACM Multimedia (2020)
Mahdi Elhousni, Xinming Huang, Ziming Zhang
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. CoRR (2020)
Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM (2020)
Yecheng Lyu, Xinming Huang, Ziming Zhang
Learning to Segment 3D Point Clouds in 2D Image Space. CVPR (2020)
Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
Automatic Building and Labeling of HD Maps with Deep Learning. AAAI (2020)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR (2020)
Xiufeng Cheng, Ziming Zhang, Yue Yang, Zhonghua Yan
Open collaboration between universities and enterprises: a case study on GitHub. Internet Res. 30 (4) (2020)
Ziming Zhang
An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs. ICPR (2020)
Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. NeurIPS (2020)
Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. CoRR (2020)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR (2020)
Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang
TreeRNN: Topology-Preserving Deep Graph Embedding and Learning. ICPR (2020)
Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. CoRR (2020)
Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang
Augmented Reality-Based Lung Ultrasound Scanning Guidance. ASMUS/PIPPI@MICCAI (2020)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR (2020)
Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning. CoRR (2020)
Yecheng Lyu, Xinming Huang, Ziming Zhang
Learning to Segment 3D Point Clouds in 2D Image Space. CoRR (2020)
Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
Automatic Building and Labeling of HD Maps with Deep Learning. CoRR (2020)
Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. WACV (2020)
Zudi Lin, Hanspeter Pfister, Ziming Zhang
White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR (2019)
Hongtao Xue, Ziming Zhang, Meng Wu, Peng Chen
Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. IEEE Access 7 (2019)
Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5 (1) (2019)
Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang
Exploiting the Anisotropy of Correlation Filter Learning for Visual Tracking. Int. J. Comput. Vis. 127 (8) (2019)
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR (2019)
Yuanwei Wu, Ziming Zhang, Guanghui Wang
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. CoRR (2019)
Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network. CoRR (2019)
Yuanwei Wu, Ziming Zhang, Guanghui Wang
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. ICCV Workshops (2019)
Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. CoRR (2019)
Yecheng Lyu, Xinming Huang, Ziming Zhang
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs. CoRR (2019)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR (2019)
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (5) (2018)
Ziming Zhang, Yuanwei Wu, Guanghui Wang
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CVPR (2018)
Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang
Robust Attentional Pooling via Feature Selection. ICPR (2018)
Ziming Zhang
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks. CoRR (2018)
Ziming Zhang, Rongmei Lin, Alan Sullivan
Deformable Part Networks. CoRR (2018)
Ziming Zhang, Venkatesh Saligrama
PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. 27 (3) (2017)
Ziming Zhang, Matthew Brand
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. NIPS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ziming Zhang