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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j17]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: 919-929 (2023)- [c70]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: 3847-3857 - [i46]Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Contrastive Learning. CoRR abs/2302.01409 (2023) - 2022
- [j16]Ziming Zhang, Xiaolong Xu
, Fu Xiao:
5GMEC-DP: Differentially private protection of trajectory data based on 5G-based mobile edge computing. Comput. Networks 218: 109376 (2022) - [j15]Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada:
Cosmos Propagation Network: Deep learning model for point cloud completion. Neurocomputing 507: 221-234 (2022) - [j14]Shuaiyuan Du, Chaoyi Hong, Yinpeng Chen, Zhiguo Cao, Ziming Zhang:
Class-attribute inconsistency learning for novelty detection. Pattern Recognit. 126: 108582 (2022) - [j13]Mahdi Elhousni, Ziming Zhang, Xinming Huang:
LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter. Sensors 22(14): 5206 (2022) - [j12]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): 999-1013 (2022) - [c69]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: 1702-1705 - [c68]Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner:
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? Big Data 2022: 5504-5513 - [c67]Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang:
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CVPR 2022: 15273-15283 - [c66]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection with Inaccurate Bounding Boxes. ECCV (10) 2022: 53-69 - [c65]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS 2022: 12:1-12:10 - [c64]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: 91-97 - [c63]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: 3512-3515 - [c62]Yecheng Lyu, Xinming Huang, Ziming Zhang:
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. WACV 2022: 256-266 - [i45]Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang:
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CoRR abs/2203.15245 (2022) - [i44]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection With Inaccurate Bounding Boxes. CoRR abs/2207.09697 (2022) - [i43]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR abs/2209.13459 (2022) - [i42]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 abs/2211.15871 (2022) - 2021
- [j11]Mahdi Elhousni, Ziming Zhang, Xinming Huang:
Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance. IEEE Access 9: 145638-145647 (2021) - [j10]Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang:
A Surface Geometry Model for LiDAR Depth Completion. IEEE Robotics Autom. Lett. 6(3): 4457-4464 (2021) - [c61]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: 102 - [c60]Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang:
Imitation Learning From Inconcurrent Multi-Agent Interactions. CDC 2021: 43-48 - [c59]Yiming Zhao, Xinming Huang, Ziming Zhang:
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CVPR 2021: 15950-15959 - [c58]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: 15-18 - [c57]Ming Li, Xinming Huang, Ziming Zhang:
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. ICCV 2021: 194-204 - [c56]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: 906-915 - [c55]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c54]Xihan Ma, Ziming Zhang, Haichong K. Zhang:
Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. IROS 2021: 9467-9474 - [c53]Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang:
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS 2021: 25839-25851 - [i41]Yecheng Lyu, Xinming Huang, Ziming Zhang:
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. CoRR abs/2103.02517 (2021) - [i40]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. CoRR abs/2104.01730 (2021) - [i39]Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang:
A Surface Geometry Model for LiDAR Depth Completion. CoRR abs/2104.08466 (2021) - [i38]Yiming Zhao, Xinming Huang, Ziming Zhang:
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CoRR abs/2104.11693 (2021) - [i37]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Revisiting 2D Convolutional Neural Networks for Graph-based Applications. CoRR abs/2105.11016 (2021) - [i36]Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang:
LiDAR Odometry Methodologies for Autonomous Driving: A Survey. CoRR abs/2109.06120 (2021) - [i35]Keshav Bimbraw, Christopher Julius 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. CoRR abs/2109.11093 (2021) - [i34]M. Caner Tol, Saad Islam, Berk Sunar, Ziming Zhang:
An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware. CoRR abs/2110.07683 (2021) - [i33]Yecheng Lyu, Xinming Huang, Ziming Zhang:
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map. CoRR abs/2110.10194 (2021) - 2020
- [j9]Xiufeng Cheng, Ziming Zhang, Yue Yang, Zhonghua Yan:
Open collaboration between universities and enterprises: a case study on GitHub. Internet Res. 30(4): 1251-1279 (2020) - [c52]Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. AAAI 2020: 13255-13260 - [c51]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. CVPR 2020: 12252-12261 - [c50]Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM 2020: 801-810 - [c49]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 - [c48]Ziming Zhang:
An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs. ICPR 2020: 647-654 - [c47]Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang:
TreeRNN: Topology-Preserving Deep Graph Embedding and Learning. ICPR 2020: 7493-7499 - [c46]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR 2020: 10532-10539 - [c45]Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang:
Augmented Reality-Based Lung Ultrasound Scanning Guidance. ASMUS/PIPPI@MICCAI 2020: 106-115 - [c44]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: 2391-2399 - [c43]Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang:
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. NeurIPS 2020 - [c42]Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. WACV 2020: 893-902 - [c41]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. WACV 2020: 1044-1048 - [i32]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. CoRR abs/2001.01275 (2020) - [i31]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. CoRR abs/2003.05593 (2020) - [i30]Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. CoRR abs/2006.00644 (2020) - [i29]Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang:
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning. CoRR abs/2006.11825 (2020) - [i28]Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang:
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. CoRR abs/2009.00164 (2020) - [i27]Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang:
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. CoRR abs/2010.01207 (2020) - [i26]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR abs/2010.05397 (2020) - [i25]Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang:
Self-Supervised Visual Attention Learning for Vehicle Re-Identification. CoRR abs/2010.09221 (2020) - [i24]Mahdi Elhousni, Xinming Huang, Ziming Zhang:
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. CoRR abs/2011.10697 (2020)
2010 – 2019
- 2019
- [j8]Hongtao Xue, Ziming Zhang, Meng Wu, Peng Chen:
Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. IEEE Access 7: 147350-147361 (2019) - [j7]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): 3-20 (2019) - [j6]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): 1084-1105 (2019) - [c40]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. ICCV Workshops 2019: 1065-1069 - [i23]Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR abs/1903.00755 (2019) - [i22]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 abs/1903.10974 (2019) - [i21]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR abs/1908.08574 (2019) - [i20]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. CoRR abs/1908.10012 (2019) - [i19]Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. CoRR abs/1909.00114 (2019) - [i18]Zudi Lin, Hanspeter Pfister, Ziming Zhang:
White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR abs/1909.06271 (2019) - [i17]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs. CoRR abs/1909.12383 (2019) - 2018
- [j5]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): 1209-1223 (2018) - [c39]Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CVPR 2018: 3301-3309 - [c38]Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang:
Robust Attentional Pooling via Feature Selection. ICPR 2018: 2038-2043 - [i16]Ziming Zhang:
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks. CoRR abs/1805.08656 (2018) - [i15]Ziming Zhang, Rongmei Lin, Alan Sullivan:
Deformable Part Networks. CoRR abs/1805.08808 (2018) - 2017
- [j4]Ziming Zhang, Venkatesh Saligrama:
PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. 27(3): 499-512 (2017) - [c37]Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi:
Attention-Based Multimodal Fusion for Video Description. ICCV 2017: 4203-4212 - [c36]Ziming Zhang, Matthew Brand:
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. NIPS 2017: 1721-1730 - [i14]Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CoRR abs/1711.06959 (2017) - [i13]Ziming Zhang, Matthew Brand:
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. CoRR abs/1711.07354 (2017) - 2016
- [j3]Ziming Zhang, Philip H. S. Torr:
Object Proposal Generation Using Two-Stage Cascade SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 102-115 (2016) - [j2]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. Parallel Comput. 57: 108-124 (2016) - [c35]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Efficient Training of Very Deep Neural Networks for Supervised Hashing. CVPR 2016: 1487-1495 - [c34]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Joint Latent Similarity Embedding. CVPR 2016: 6034-6042 - [c33]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Recognition via Structured Prediction. ECCV (7) 2016: 533-548 - [c32]Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang:
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV (8) 2016: 662-678 - [i12]Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang:
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. CoRR abs/1608.08173 (2016) - [i11]Ziming Zhang, Venkatesh Saligrama:
Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR abs/1611.07593 (2016) - 2015
- [c31]Ziming Zhang, Venkatesh Saligrama:
Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. ICASSP 2015: 3796-3800 - [c30]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. ICCV 2015: 3916-3924 - [c29]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. ICCV 2015: 4166-4174 - [c28]Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama:
Efficient Activity Retrieval through Semantic Graph Queries. ACM Multimedia 2015: 391-400 - [i10]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. CoRR abs/1509.04767 (2015) - [i9]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. CoRR abs/1509.04783 (2015) - [i8]Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama:
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR abs/1511.04511 (2015) - [i7]Ziming Zhang, Venkatesh Saligrama:
Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR abs/1511.04512 (2015) - [i6]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Supervised Hashing with Deep Neural Networks. CoRR abs/1511.04524 (2015) - 2014
- [c27]Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr:
BING: Binarized Normed Gradients for Objectness Estimation at 300fps. CVPR 2014: 3286-3293 - [c26]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV Workshops (3) 2014: 122-133 - [c25]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
Trapped capacity: scheduling under a power cap to maximize machine-room throughput. E2SC@SC 2014: 41-50 - [i5]Ziming Zhang:
Regularization for Multiple Kernel Learning via Sum-Product Networks. CoRR abs/1402.3032 (2014) - [i4]Ziming Zhang, Venkatesh Saligrama:
Person Re-identification via Structured Prediction. CoRR abs/1406.4444 (2014) - [i3]Ziming Zhang, Venkatesh Saligrama:
RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR abs/1406.4445 (2014) - [i2]Ziming Zhang, Philip H. S. Torr:
Object Proposal Generation using Two-Stage Cascade SVMs. CoRR abs/1407.5242 (2014) - [i1]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
A Novel Visual Word Co-occurrence Model for Person Re-identification. CoRR abs/1410.6532 (2014) - 2013
- [b1]Ziming Zhang:
Efficient object detection via structured learning and local classifiers. Oxford Brookes University, UK, 2013 - [c24]Xin Zhi, Ziming Zhang, Yuhui Gao, Zhixiang Zhang:
Real-Time Vascular Beating Analog Based on the Mass-Spring Model. IIH-MSP 2013: 185-188 - [c23]Zhixiang Zhang, Ziming Zhang, Yuhui Gao, Xin Zhi, Jianfei Zhao:
Acupoint Teaching System Based on Android. IIH-MSP 2013: 206-209 - [c22]Yuhui Gao, Ziming Zhang, Zhixiang Zhang, Xin Zhi:
Design of Intelligent Abreaction and Relax System. IIH-MSP 2013: 214-217 - 2012
- [j1]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. 7(1): 52-61 (2012) - [c21]Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr:
Efficient discriminative learning of parametric nearest neighbor classifiers. CVPR 2012: 2232-2239 - [c20]Ziming Zhang, Qiang Guan, Song Fu:
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC 2012: 51-60 - [c19]Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu:
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS 2012: 207-216 - 2011
- [c18]Qiang Guan, Ziming Zhang, Song Fu:
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES 2011: 83-90 - [c17]Ziming Zhang, Song Fu:
Characterizing Power and Energy Usage in Cloud Computing Systems. CloudCom 2011: 146-153 - [c16]