Ziming Zhang

According to our database, Ziming Zhang authored at least 130 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Self-supervised neural network-based endoscopic monocular 3D reconstruction method.

Ziming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang

Health Inf. Sci. Syst., December, 2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.

Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

PVO-based reversible data hiding using bit plane segmentation and pixel expansion.

Ziming Zhang, Wenjia Wang, Zihan Zhao, Erfu Wang

J. Inf. Secur. Appl., December, 2023

Distance Transform Pooling Neural Network for LiDAR Depth Completion.

Yiming Zhao, Mahdi Elhousni, Ziming Zhang, Xinming Huang

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Revisiting 2D Convolutional Neural Networks for Graph-Based Applications.

Yecheng Lyu, Xinming Huang, Ziming Zhang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

LGAN-DP: A novel differential private publication mechanism of trajectory data.

Ziming Zhang, Xiaolong Xu, Fu Xiao

Future Gener. Comput. Syst., April, 2023

Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification.

Ming Li, Jun Liu, Ce Zheng, Xinming Huang, Ziming Zhang

IEEE Trans. Multim., 2023

Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version).

Ming Li, Xinming Huang, Ziming Zhang

CoRR, 2023

Hyperbolic Contrastive Learning.

Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang

CoRR, 2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution.

Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Domain Disentangled Meta-Learning.

Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies.

Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Obstacle Avoidance Path Planning of Unmanned Vehicle Based on Improved APF.

Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao

Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System.

Yuanyuan Yue, Qingshan Liu, Ziming Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses.

Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the International Conference on Machine Learning and Applications, 2023

Weakly Semi-Supervised Oriented Object Detection with Points.

Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen

Proceedings of the IEEE International Conference on Image Processing, 2023

Distributional Cloning for Stabilized Imitation Learning via ADMM.

Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Obstacle Avoidance Formation Control of Unmanned Ground Vehicles Based on a Game-Theoretic Approach.

Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Don't Knock! Rowhammer at the Backdoor of DNN Models.

M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment.

Yiqing Zhang, Xinming Huang, Ziming Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MOSS: AI Platform for Discovery of Corrosion-Resistant Materials.

Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Fuzzy System of Operation Safety Assessment Using Multimodel Linkage and Multistage Collaboration for In-Wheel Motor.

Hongtao Xue, Dianyong Ding, Ziming Zhang, Meng Wu, Huaqing Wang

IEEE Trans. Fuzzy Syst., 2022

LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter.

Mahdi Elhousni, Ziming Zhang, Xinming Huang

Sensors, 2022

Class-attribute inconsistency learning for novelty detection.

Shuaiyuan Du, Chaoyi Hong, Yinpeng Chen, Zhiguo Cao, Ziming Zhang

Pattern Recognit., 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.

Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada

Neurocomputing, 2022

Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound.

Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang

CoRR, 2022

5GMEC-DP: Differentially private protection of trajectory data based on 5G-based mobile edge computing.

Ziming Zhang, Xiaolong Xu, Fu Xiao

Comput. Networks, 2022

EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation.

Yecheng Lyu, Xinming Huang, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images.

Zhibao Wang, Ziming Zhang, Lu Bai, Yuze Yang, Qiang Ma

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Prediction of Metacarpophalangeal Joint Angles and Classification of Hand Configurations Based on Ultrasound Imaging of the Forearm.

Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation.

Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data.

Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Robust Object Detection with Inaccurate Bounding Boxes.

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients.

Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?

Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2022

A segmentation method of airway from chest CT image based on VGG-Unet neural network.

Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Surface Geometry Model for LiDAR Depth Completion.

Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang

IEEE Robotics Autom. Lett., 2021

An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware.

M. Caner Tol, Saad Islam, Berk Sunar, Ziming Zhang

CoRR, 2021

LiDAR Odometry Methodologies for Autonomous Driving: A Survey.

Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang

CoRR, 2021

Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning.

Yuanwei Wu, Ziming Zhang, Guanghui Wang

CoRR, 2021

Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance.

Mahdi Elhousni, Ziming Zhang, Xinming Huang

IEEE Access, 2021

SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization.

Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging.

Xihan Ma, Ziming Zhang, Haichong K. Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System.

Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021

DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction.

Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2021

Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond.

Ming Li, Xinming Huang, Ziming Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening.

Johnathan Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Lucas-Kanade Homography for Multimodal Image Alignment.

Yiming Zhao, Xinming Huang, Ziming Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Imitation Learning From Inconcurrent Multi-Agent Interactions.

Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Corrosion Image Data Set for Automating Scientific Assessment of Materials.

Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Open collaboration between universities and enterprises: a case study on GitHub.

Xiufeng Cheng, Ziming Zhang, Yue Yang, Zhonghua Yan

Internet Res., 2020

Self-Supervised Visual Attention Learning for Vehicle Re-Identification.

Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang

CoRR, 2020

LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation.

Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang

CoRR, 2020

TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning.

Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang

CoRR, 2020

Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters.

Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Towards Learning Affine-Invariant Representations via Data-Efficient CNNs.

Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning.

Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation.

Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Augmented Reality-Based Lung Ultrasound Scanning Guidance.

Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs.

Ziming Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm.

Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

TreeRNN: Topology-Preserving Deep Graph Embedding and Learning.

Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?

Anil Kag, Ziming Zhang, Venkatesh Saligrama

Proceedings of the 8th International Conference on Learning Representations, 2020

TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis.

Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning to Segment 3D Point Clouds in 2D Image Space.

Yecheng Lyu, Xinming Huang, Ziming Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Automatic Building and Labeling of HD Maps with Deep Learning.

Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploiting the Anisotropy of Correlation Filter Learning for Visual Tracking.

Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang

Int. J. Comput. Vis., 2019

BING: Binarized normed gradients for objectness estimation at 300fps.

Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr

Comput. Vis. Media, 2019

Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs.

Yecheng Lyu, Xinming Huang, Ziming Zhang

CoRR, 2019

White-Box Adversarial Defense via Self-Supervised Data Estimation.

Zudi Lin, Hanspeter Pfister, Ziming Zhang

CoRR, 2019

RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?

Anil Kag, Ziming Zhang, Venkatesh Saligrama

CoRR, 2019

Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network.

Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan

CoRR, 2019

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability.

Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama

CoRR, 2019

Fuzzy Controller for Autonomous Vehicle Based on Rough Sets.

Hongtao Xue, Ziming Zhang, Meng Wu, Peng Chen

IEEE Access, 2019

Unsupervised Deep Feature Transfer for Low Resolution Image Classification.

Yuanwei Wu, Ziming Zhang, Guanghui Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Sequential Optimization for Efficient High-Quality Object Proposal Generation.

Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Deformable Part Networks.

Ziming Zhang, Rongmei Lin, Alan Sullivan

CoRR, 2018

LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks.

Ziming Zhang

CoRR, 2018

Robust Attentional Pooling via Feature Selection.

Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning.

Ziming Zhang, Yuanwei Wu, Guanghui Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

PRISM: Person Reidentification via Structured Matching.

Ziming Zhang, Venkatesh Saligrama

IEEE Trans. Circuits Syst. Video Technol., 2017

Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks.

Ziming Zhang, Matthew Brand

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Attention-Based Multimodal Fusion for Video Description.

Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput.

Ziming Zhang, Michael Lang, Scott Pakin, Song Fu

Parallel Comput., 2016

Object Proposal Generation Using Two-Stage Cascade SVMs.

Ziming Zhang, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning Joint Feature Adaptation for Zero-Shot Recognition.

Ziming Zhang, Venkatesh Saligrama

CoRR, 2016

Zero-Shot Recognition via Structured Prediction.

Ziming Zhang, Venkatesh Saligrama

Proceedings of the Computer Vision - ECCV 2016, 2016

Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning.

Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang

Proceedings of the Computer Vision - ECCV 2016, 2016

Zero-Shot Learning via Joint Latent Similarity Embedding.

Ziming Zhang, Venkatesh Saligrama

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Training of Very Deep Neural Networks for Supervised Hashing.

Ziming Zhang, Yuting Chen, Venkatesh Saligrama

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Classifying Unseen Instances by Learning Class-Independent Similarity Functions.

Ziming Zhang, Venkatesh Saligrama

CoRR, 2015

BING++: A Fast High Quality Object Proposal Generator at 100fps.

Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama

CoRR, 2015

Supervised Hashing with Deep Neural Networks.

Ziming Zhang, Yuting Chen, Venkatesh Saligrama

CoRR, 2015

Efficient Activity Retrieval through Semantic Graph Queries.

Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Zero-Shot Learning via Semantic Similarity Embedding.

Ziming Zhang, Venkatesh Saligrama

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Group Membership Prediction.

Ziming Zhang, Yuting Chen, Venkatesh Saligrama

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization.

Ziming Zhang, Venkatesh Saligrama

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Person Re-identification via Structured Prediction.

Ziming Zhang, Venkatesh Saligrama

CoRR, 2014

Regularization for Multiple Kernel Learning via Sum-Product Networks.

Ziming Zhang

CoRR, 2014

Trapped capacity: scheduling under a power cap to maximize machine-room throughput.

Ziming Zhang, Michael Lang, Scott Pakin, Song Fu

Proceedings of the 2nd International Workshop on Energy Efficient Supercomputing, 2014

A Novel Visual Word Co-occurrence Model for Person Re-identification.

Ziming Zhang, Yuting Chen, Venkatesh Saligrama

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

BING: Binarized Normed Gradients for Objectness Estimation at 300fps.

Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Efficient object detection via structured learning and local classifiers.

Ziming Zhang

PhD thesis, 2013

Real-Time Vascular Beating Analog Based on the Mass-Spring Model.

Xin Zhi, Ziming Zhang, Yuhui Gao, Zhixiang Zhang

Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Acupoint Teaching System Based on Android.

Zhixiang Zhang, Ziming Zhang, Yuhui Gao, Xin Zhi, Jianfei Zhao

Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Design of Intelligent Abreaction and Relax System.

Yuhui Gao, Ziming Zhang, Zhixiang Zhang, Xin Zhi

Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

2012

Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems.

Qiang Guan, Ziming Zhang, Song Fu

J. Commun., 2012

Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds.

Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu

Proceedings of the Seventh IEEE International Conference on Networking, 2012

An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures.

Ziming Zhang, Qiang Guan, Song Fu

Proceedings of the 31st IEEE International Performance Computing and Communications Conference, 2012

Efficient discriminative learning of parametric nearest neighbor classifiers.

Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Learning Anchor Planes for Classification.

Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing.

Ziming Zhang, Song Fu

Proceedings of the 30th IEEE International Performance Computing and Communications Conference, 2011

Learning Sparse Features On-Line for Image Classification.

Ziming Zhang, Jiawei Huang, Ze-Nian Li

Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing.

Qiang Guan, Ziming Zhang, Song Fu

Proceedings of 20th International Conference on Computer Communications and Networks, 2011

Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience.

Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu

Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

Proposal generation for object detection using cascaded ranking SVMs.

Ziming Zhang, Jonathan Warrell, Philip H. S. Torr

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Characterizing Power and Energy Usage in Cloud Computing Systems.

Ziming Zhang, Song Fu

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems.

Qiang Guan, Ziming Zhang, Song Fu

Proceedings of the Sixth International Conference on Availability, 2011

2010

Discovering Motion Patterns for Human Action Recognition.

Ziming Zhang, Jiawei Huang, Ze-Nian Li

Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Failure prediction for autonomic management of networked computer systems with availability assurance.

Ziming Zhang, Song Fu

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Profiling and analysis of power consumption for virtualized systems and applications.

Ziming Zhang, Song Fu

Proceedings of the 29th International Performance Computing and Communications Conference, 2010

AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach.

Ziming Zhang, Ze-Nian Li, Mark S. Drew

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning image similarities via Probabilistic Feature Matching.

Ziming Zhang, Ze-Nian Li, Mark S. Drew

Proceedings of the International Conference on Image Processing, 2010

2009

Feature correspondence with constrained global spatial structures.

Ziming Zhang, Ze-Nian Li, Mark S. Drew

Proceedings of the International Conference on Image Processing, 2009

2008

Motion Context: A New Representation for Human Action Recognition.

Ziming Zhang, Yiqun Hu, Syin Chan, Liang-Tien Chia

Proceedings of the Computer Vision, 2008

2007

Image classification using tensor representation.

Ziming Zhang, Syin Chan, Liang-Tien Chia

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Codebook+: A New Module for Creating Discriminative Codebooks.

Ziming Zhang, Syin Chan, Liang-Tien Chia

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Discriminative Signatures for Image Classification.

Ziming Zhang, Syin Chan, Liang-Tien Chia

Proceedings of the International Conference on Image Processing, 2007