Ziming Zhang - RankMe

195 papers A* 31A 16B 11C 9Misc 1Journal 98Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An ODE-based multi-resolution parallel network for respiratory motion estimation. Medical Biol. Eng. Comput. Ziming Zhang, Mingxiao Li, Wenjun Tan, Tianming Li, Ye Yuan, Juntao Han, Xinfeng Xu, Quan Zhu, Zhe Wang, Ruoyu Wang
2026	J	`jnl`	Asynchronous Impulsive Stabilization of Large-Scale Networks Under Denial-of-Service Attacks. IEEE Trans. Circuits Syst. I Regul. Pap. Dongsheng Xu, Ziming Zhang, Han Zheng, Jinpeng Yu, Choon Ki Ahn
2026	J	`jnl`	Decision-Making for Quality Visibility in Green Supply Chain Based on Blockchain Technology. IGTR Qin Su, Ziming Zhang, Feiyun Li, Wenbo Zhang
2026	J	`jnl`	Position: Human-Centric AI Requires a Minimum Viable Level of Human Understanding. CoRR Fangzhou Lin, Qianwen Ge, Lingyu Xu, Peiran Li, Xiangbo Gao, Shuo Xing, Kazunori D. Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu
2025	J	`jnl`	A Language Anchor-Guided Method for Robust Noisy Domain Generalization. CoRR Zilin Dai, Lehong Wang, Fangzhou Lin, Yidong Wang, Zhigang Li, Kazunori D. Yamada, Ziming Zhang, Wang Lu
2025	J	`jnl`	A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completion. CoRR Fangzhou Lin, Zilin Dai, Rigved Sanku, Songlin Hou, Kazunori D. Yamada, Haichong K. Zhang, Ziming Zhang
2025	J	`jnl`	A monocular thoracoscopic 3D scene reconstruction framework based on NeRF. Medical Biol. Eng. Comput. Juntao Han, Ziming Zhang, Wenjun Tan, Yufei Wang, Mingxiao Li
2025	A*	`conf`	Active feature acquisition via explainability-driven ranking. ICML Osman Berke Güney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B. Kolachalama
2025	J	`jnl`	CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer. BMC Medical Imaging Wenjun Hu, Liangjie Lin, Changjun Ma, Anliang Chen, Zhongbao Luo, Ziming Zhang, Ailian Liu
2025	J	`jnl`	Consensus of Fractional-Order Fuzzy Multiagent Systems: Exploring Impulsive Security Protocols. IEEE Trans. Control. Netw. Syst. Yao Xu, Ziming Zhang, Xiangpeng Xie, Reinaldo Martinez Palhares, Wenxue Li, Yongbao Wu
2025	J	`jnl`	Deep Loss Convexification for Learning Iterative Models. IEEE Trans. Pattern Anal. Mach. Intell. Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong K. Zhang, Elke A. Rundensteiner
2025	A*	`conf`	Demo: EdgeMind-OS: A Plug-and-Play Embodied Intelligence System for Real-Time On-Device Deployment. MobiCom Xin Ding, Jianyu Wei, Fucheng Jia, Liang Mi, Ruofei Ju, Xianye Wang, Yikai Zheng, Ziming Zhang, Weijun Wang, Shiqi Jiang, Yunxin Liu, Ting Cao
2025	C	`conf`	Ensembles of Statistically Independent Models: A Method for Semi-Supervised Domain Adaptation. ICMLA Nicholas Josselyn, Walter Gerych, Biao Yin, Ziming Zhang, Elke A. Rundensteiner
2025	J	`jnl`	Entity Pair Relation Classification Based on Contrastive Learning and Biaffine Model. IEEE Access Songhua Hu, Ziming Zhang, Hengxin Wang, Lihui Jiang
2025	A	`conf`	FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. FPGA Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Jiewen Wang, Yuhan Zhang, Hao Guo, Jintao Li, Ziming Zhang, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2025	A*	`conf`	GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. ICLR Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2025	J	`jnl`	Guiding the Last Centimeter: Novel Anatomy-Aware Probe Servoing for Standardized Imaging Plane Navigation in Robotic Lung Ultrasound. IEEE Trans Autom. Sci. Eng. Xihan Ma, Mingjie Zeng, Jeffrey C. Hill, Beatrice Hoffmann, Ziming Zhang, Haichong K. Zhang
2025	J	`jnl`	KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting? CoRR Lingyu Jiang, Yuping Wang, Yao Su, Shuo Xing, Wenjing Chen, Xin Zhang, Zhengzhong Tu, Ziming Zhang, Fangzhou Lin, Michael R. Zielewski, Kazunori D. Yamada
2025	J	`jnl`	Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains. IEEE Access Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend Christopher Rinderspacher, Robert E. Jensen, James F. Snyder, Walter Gerych, Ziming Zhang, Elke A. Rundensteiner
2025	J	`jnl`	Machine fault diagnosis method using Ghost-AdderNet and WSNs with sensor computing. Expert Syst. Appl. Liqun Hou, Guopeng Mao, Ziming Zhang
2025	—	`conf`	NLSaber: Enhancing Netlink Family Fuzzing via Automated Syscall Description Generation. ESORICS (3) Lin Ma, Xingwei Lin, Ziming Zhang, Yajin Zhou
2025	J	`jnl`	NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks. CoRR Fangzhou Lin, Yuping Wang, Yuliang Guo, Zixun Huang, Xinyu Huang, Haichong Zhang, Kazunori D. Yamada, Zhengzhong Tu, Liu Ren, Ziming Zhang
2025	J	`jnl`	Realizing Supply Chain Benefits Through Technological-Development-Oriented Supply Chain Innovation: The Mediating Role of Supply Chain Transparency and Supply Chain Embeddedness. IEEE Trans. Engineering Management Qingyun Yang, Qin Su, Jianqi Qiao, Ziming Zhang
2025	J	`jnl`	Robust 3D point clouds classification based on declarative defenders. Neural Comput. Appl. Kaidong Li, Tianxiao Zhang, Cuncong Zhong, Ziming Zhang, Guanghui Wang
2025	J	`jnl`	TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting. CoRR Lingyu Jiang, Lingyu Xu, Peiran Li, Qianwen Ge, Dingyi Zhuang, Shuo Xing, Wenjing Chen, Xiangbo Gao, Ting-Hsuan Chen, Xueying Zhan, Xin Zhang, Ziming Zhang, Zhengzhong Tu, Michael Zielewski, Kazunori D. Yamada, Fangzhou Lin
2024	A	`conf`	Auto-Encoding Adversarial Imitation Learning. AAMAS Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao
2024	J	`jnl`	DCF-VQA: Counterfactual structure based on multi-feature enhancement. Int. J. Appl. Math. Comput. Sci. Guan Yang, Ji Cheng, Xiaoming Liu, Ziming Zhang, Chen Wang
2024	J	`jnl`	Deep Loss Convexification for Learning Iterative Models. CoRR Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong Zhang, Elke A. Rundensteiner
2024	J	`jnl`	Guiding the Last Centimeter: Novel Anatomy-Aware Probe Servoing for Standardized Imaging Plane Navigation in Robotic Lung Ultrasound. CoRR Xihan Ma, Mingjie Zeng, Jeffrey C. Hill, Beatrice Hoffmann, Ziming Zhang, Haichong K. Zhang
2024	J	`jnl`	Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond. CoRR Fangzhou Lin, Songlin Hou, Haotian Liu, Shang Gao, Kazunori D. Yamada, Haichong K. Zhang, Ziming Zhang
2024	—	`conf`	Intelligent Medicine Box Monitoring System Based on ZigBee Technology. PEAI Jinhong Diao, Peng Sun, Junfeng Chen, Ziming Zhang, Zhaoqi Chen
2024	A	`conf`	Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance. IROS Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D. Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, Ziming Zhang
2024	J	`jnl`	Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance. CoRR Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D. Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, Ziming Zhang
2024	J	`jnl`	Robust 3D Point Clouds Classification based on Declarative Defenders. CoRR Kaidong Li, Tianxiao Zhang, Cuncong Zhong, Ziming Zhang, Guanghui Wang
2024	J	`jnl`	Robust Structured Declarative Classifiers for Point Clouds. World Sci. Annu. Rev. Artif. Intell. Ziming Zhang, Kaidong Li, Guanghui Wang
2024	J	`jnl`	SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework. CoRR Fangzhou Lin, Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang, John Obayemi, Winston (Wole) Oluwole Soboyejo, Haichong K. Zhang
2024	J	`jnl`	Self-supervised neural network-based endoscopic monocular 3D reconstruction method. Health Inf. Sci. Syst. Ziming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang
2024	A	`conf`	Understanding Hyperbolic Metric Learning through Hard Negative Sampling. WACV Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
2024	J	`jnl`	Understanding Hyperbolic Metric Learning through Hard Negative Sampling. CoRR Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang
2024	C	`conf`	V-GnNet: Voxel and Graph Node Based Network for Continuously Consistent Artery and Vein Classification in Non-contrast CT Images. HIS Qingya Li, Ye Yuan, Lu Liu, Ziming Zhang, Wenjun Tan
2024	A	`conf`	Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. ICWSM Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang
2024	J	`jnl`	Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. CoRR Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang
2023	—	`conf`	A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. ICONIP (1) Yuanyuan Yue, Qingshan Liu, Ziming Zhang
2023	C	`conf`	DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. ICMLA Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
2023	J	`jnl`	Distance Transform Pooling Neural Network for LiDAR Depth Completion. IEEE Trans. Neural Networks Learn. Syst. Yiming Zhao, Mahdi Elhousni, Ziming Zhang, Xinming Huang
2023	A*	`conf`	Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang
2023	A	`conf`	Domain Disentangled Meta-Learning. SDM Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
2023	A	`conf`	Don't Knock! Rowhammer at the Backdoor of DNN Models. DSN M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang
2023	—	`conf`	Dynamic Obstacle Avoidance Path Planning of Unmanned Vehicle Based on Improved APF. ISCSIC Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao
2023	J	`jnl`	Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification. IEEE Trans. Multim. Ming Li, Jun Liu, Ce Zheng, Xinming Huang, Ziming Zhang
2023	A*	`conf`	Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang
2023	J	`jnl`	Hyperbolic Contrastive Learning. CoRR Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang
2023	A*	`conf`	InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2023	J	`jnl`	LGAN-DP: A novel differential private publication mechanism of trajectory data. Future Gener. Comput. Syst. Ziming Zhang, Xiaolong Xu, Fu Xiao
2023	A	`conf`	Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu
2023	A	`conf`	MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. CIKM Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder
2023	—	`conf`	Obstacle Avoidance Formation Control of Unmanned Ground Vehicles Based on a Game-Theoretic Approach. ICARM Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao
2023	A*	`conf`	PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CVPR Yiqing Zhang, Xinming Huang, Ziming Zhang
2023	J	`jnl`	PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CoRR Yiqing Zhang, Xinming Huang, Ziming Zhang
2023	J	`jnl`	PVO-based reversible data hiding using bit plane segmentation and pixel expansion. J. Inf. Secur. Appl. Ziming Zhang, Wenjia Wang, Zihan Zhao, Erfu Wang
2023	J	`jnl`	Revisiting 2D Convolutional Neural Networks for Graph-Based Applications. IEEE Trans. Pattern Anal. Mach. Intell. Yecheng Lyu, Xinming Huang, Ziming Zhang
2023	A	`conf`	STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2023	J	`jnl`	Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version). CoRR Ming Li, Xinming Huang, Ziming Zhang
2023	B	`conf`	Weakly Semi-Supervised Oriented Object Detection with Points. ICIP Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen
2022	J	`jnl`	5GMEC-DP: Differentially private protection of trajectory data based on 5G-based mobile edge computing. Comput. Networks Ziming Zhang, Xiaolong Xu, Fu Xiao
2022	J	`jnl`	A Fuzzy System of Operation Safety Assessment Using Multimodel Linkage and Multistage Collaboration for In-Wheel Motor. IEEE Trans. Fuzzy Syst. Hongtao Xue, Dianyong Ding, Ziming Zhang, Meng Wu, Huaqing Wang
2022	—	`conf`	A segmentation method of airway from chest CT image based on VGG-Unet neural network. BIBM Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan
2022	B	`conf`	An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? IEEE Big Data Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner
2022	C	`conf`	Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images. IGARSS Zhibao Wang, Ziming Zhang, Lu Bai, Yuze Yang, Qiang Ma
2022	J	`jnl`	Class-attribute inconsistency learning for novelty detection. Pattern Recognit. Shuaiyuan Du, Chaoyi Hong, Yinpeng Chen, Zhiguo Cao, Ziming Zhang
2022	J	`jnl`	Cosmos Propagation Network: Deep learning model for point cloud completion. Neurocomputing Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada
2022	J	`jnl`	EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
2022	—	`conf`	EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
2022	A	`conf`	EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. WACV Yecheng Lyu, Xinming Huang, Ziming Zhang
2022	J	`jnl`	LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter. Sensors Mahdi Elhousni, Ziming Zhang, Xinming Huang
2022	A*	`conf`	Prediction of Metacarpophalangeal Joint Angles and Classification of Hand Configurations Based on Ultrasound Imaging of the Forearm. ICRA Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang
2022	J	`jnl`	Robust Object Detection With Inaccurate Bounding Boxes. CoRR Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
2022	—	`conf`	Robust Object Detection with Inaccurate Bounding Boxes. ECCV (10) Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
2022	A*	`conf`	Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CVPR Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
2022	J	`jnl`	Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CoRR Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
2022	J	`jnl`	Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound. CoRR Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang
2022	C	`conf`	Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. ICMLA Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
2021	J	`jnl`	A Surface Geometry Model for LiDAR Depth Completion. CoRR Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang
2021	J	`jnl`	A Surface Geometry Model for LiDAR Depth Completion. IEEE Robotics Autom. Lett. Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang
2021	J	`jnl`	An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware. CoRR M. Caner Tol, Saad Islam, Berk Sunar, Ziming Zhang
2021	—	`conf`	Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening. EMBC Johnathan Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov
2021	A	`conf`	Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. IROS Xihan Ma, Ziming Zhang, Haichong K. Zhang
2021	J	`jnl`	Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. CoRR Yuanwei Wu, Ziming Zhang, Guanghui Wang
2021	A	`conf`	Corrosion Image Data Set for Automating Scientific Assessment of Materials. BMVC Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
2021	A*	`conf`	DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo
2021	A*	`conf`	Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
2021	A*	`conf`	Deep Lucas-Kanade Homography for Multimodal Image Alignment. CVPR Yiming Zhao, Xinming Huang, Ziming Zhang
2021	J	`jnl`	Deep Lucas-Kanade Homography for Multimodal Image Alignment. CoRR Yiming Zhao, Xinming Huang, Ziming Zhang
2021	J	`jnl`	EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. CoRR Yecheng Lyu, Xinming Huang, Ziming Zhang
2021	J	`jnl`	Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance. IEEE Access Mahdi Elhousni, Ziming Zhang, Xinming Huang
2021	—	`conf`	Imitation Learning From Inconcurrent Multi-Agent Interactions. CDC Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang
2021	J	`jnl`	LiDAR Odometry Methodologies for Autonomous Driving: A Survey. CoRR Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang
2021	J	`jnl`	Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm. CoRR Keshav Bimbraw, Christopher Julius Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang
2021	J	`jnl`	Revisiting 2D Convolutional Neural Networks for Graph-based Applications. CoRR Yecheng Lyu, Xinming Huang, Ziming Zhang
2021	A*	`conf`	SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang
2021	A*	`conf`	Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. ICCV Ming Li, Xinming Huang, Ziming Zhang
2020	B	`conf`	An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs. ICPR Ziming Zhang
2020	—	`conf`	Augmented Reality-Based Lung Ultrasound Scanning Guidance. ASMUS/PIPPI@MICCAI Keshav Bimbraw, Xihan Ma, Ziming Zhang, Haichong K. Zhang
2020	A*	`conf`	Automatic Building and Labeling of HD Maps with Deep Learning. AAAI Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
2020	J	`jnl`	Automatic Building and Labeling of HD Maps with Deep Learning. CoRR Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang
2020	J	`jnl`	Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. CoRR Mahdi Elhousni, Xinming Huang, Ziming Zhang
2020	A*	`conf`	Learning to Segment 3D Point Clouds in 2D Image Space. CVPR Yecheng Lyu, Xinming Huang, Ziming Zhang
2020	J	`jnl`	Learning to Segment 3D Point Clouds in 2D Image Space. CoRR Yecheng Lyu, Xinming Huang, Ziming Zhang
2020	A*	`conf`	LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation. ACM Multimedia Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
2020	J	`jnl`	LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. CoRR Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
2020	J	`jnl`	Open collaboration between universities and enterprises: a case study on GitHub. Internet Res. Xiufeng Cheng, Ziming Zhang, Yue Yang, Zhonghua Yan
2020	B	`conf`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2020	J	`jnl`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2020	A*	`conf`	RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR Anil Kag, Ziming Zhang, Venkatesh Saligrama
2020	A	`conf`	Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. WACV Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang
2020	J	`jnl`	Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. CoRR Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang
2020	J	`jnl`	Self-Supervised Visual Attention Learning for Vehicle Re-Identification. CoRR Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang
2020	A	`conf`	Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. WACV Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
2020	A*	`conf`	TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2020	B	`conf`	TreeRNN: Topology-Preserving Deep Graph Embedding and Learning. ICPR Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang
2020	J	`jnl`	TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning. CoRR Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang
2020	A*	`conf`	f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. NeurIPS Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
2020	J	`jnl`	f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. CoRR Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang
2019	J	`jnl`	BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr
2019	J	`jnl`	Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
2019	J	`jnl`	Exploiting the Anisotropy of Correlation Filter Learning for Visual Tracking. Int. J. Comput. Vis. Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang
2019	J	`jnl`	Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. IEEE Access Hongtao Xue, Ziming Zhang, Meng Wu, Peng Chen
2019	J	`jnl`	Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs. CoRR Yecheng Lyu, Xinming Huang, Ziming Zhang
2019	J	`jnl`	RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR Anil Kag, Ziming Zhang, Venkatesh Saligrama
2019	J	`jnl`	Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. CoRR Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
2019	—	`conf`	Unsupervised Deep Feature Transfer for Low Resolution Image Classification. ICCV Workshops Yuanwei Wu, Ziming Zhang, Guanghui Wang
2019	J	`jnl`	Unsupervised Deep Feature Transfer for Low Resolution Image Classification. CoRR Yuanwei Wu, Ziming Zhang, Guanghui Wang
2019	J	`jnl`	Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network. CoRR Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan
2019	J	`jnl`	White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR Zudi Lin, Hanspeter Pfister, Ziming Zhang
2018	A*	`conf`	BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CVPR Ziming Zhang, Yuanwei Wu, Guanghui Wang
2018	J	`jnl`	Deformable Part Networks. CoRR Ziming Zhang, Rongmei Lin, Alan Sullivan
2018	J	`jnl`	LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks. CoRR Ziming Zhang
2018	B	`conf`	Robust Attentional Pooling via Feature Selection. ICPR Jianbo Zheng, Teng-Yok Lee, Chen Feng, Xiaohua Li, Ziming Zhang
2018	J	`jnl`	Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
2017	A*	`conf`	Attention-Based Multimodal Fusion for Video Description. ICCV Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi
2017	J	`jnl`	BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CoRR Ziming Zhang, Yuanwei Wu, Guanghui Wang
2017	—	`conf`	Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. NIPS Ziming Zhang, Matthew Brand
2017	J	`jnl`	Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. CoRR Ziming Zhang, Matthew Brand
2017	J	`jnl`	PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. Ziming Zhang, Venkatesh Saligrama
2016	A*	`conf`	Efficient Training of Very Deep Neural Networks for Supervised Hashing. CVPR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2016	J	`jnl`	Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR Ziming Zhang, Venkatesh Saligrama
2016	J	`jnl`	Object Proposal Generation Using Two-Stage Cascade SVMs. IEEE Trans. Pattern Anal. Mach. Intell. Ziming Zhang, Philip H. S. Torr
2016	—	`conf`	Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV (8) Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang
2016	J	`jnl`	Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. CoRR Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang
2016	J	`jnl`	TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. Parallel Comput. Ziming Zhang, Michael Lang, Scott Pakin, Song Fu
2016	A*	`conf`	Zero-Shot Learning via Joint Latent Similarity Embedding. CVPR Ziming Zhang, Venkatesh Saligrama
2016	—	`conf`	Zero-Shot Recognition via Structured Prediction. ECCV (7) Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
2015	J	`jnl`	Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR Ziming Zhang, Venkatesh Saligrama
2015	A*	`conf`	Efficient Activity Retrieval through Semantic Graph Queries. ACM Multimedia Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama
2015	A*	`conf`	Group Membership Prediction. ICCV Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	J	`jnl`	Group Membership Prediction. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	Misc	`conf`	Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. ICASSP Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	Supervised Hashing with Deep Neural Networks. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	A*	`conf`	Zero-Shot Learning via Semantic Similarity Embedding. ICCV Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	Zero-Shot Learning via Semantic Similarity Embedding. CoRR Ziming Zhang, Venkatesh Saligrama
2014	—	`conf`	A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV Workshops (3) Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2014	J	`jnl`	A Novel Visual Word Co-occurrence Model for Person Re-identification. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2014	A*	`conf`	BING: Binarized Normed Gradients for Objectness Estimation at 300fps. CVPR Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr
2014	J	`jnl`	Object Proposal Generation using Two-Stage Cascade SVMs. CoRR Ziming Zhang, Philip H. S. Torr
2014	J	`jnl`	Person Re-identification via Structured Prediction. CoRR Ziming Zhang, Venkatesh Saligrama
2014	J	`jnl`	RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR Ziming Zhang, Venkatesh Saligrama
2014	J	`jnl`	Regularization for Multiple Kernel Learning via Sum-Product Networks. CoRR Ziming Zhang
2014	—	`conf`	Trapped capacity: scheduling under a power cap to maximize machine-room throughput. E2SC@SC Ziming Zhang, Michael Lang, Scott Pakin, Song Fu
2013	—	`conf`	Acupoint Teaching System Based on Android. IIH-MSP Zhixiang Zhang, Ziming Zhang, Yuhui Gao, Xin Zhi, Jianfei Zhao
2013	—	`conf`	Design of Intelligent Abreaction and Relax System. IIH-MSP Yuhui Gao, Ziming Zhang, Zhixiang Zhang, Xin Zhi
2013	—	`—`	Efficient object detection via structured learning and local classifiers. Ziming Zhang
2013	—	`conf`	Real-Time Vascular Beating Analog Based on the Mass-Spring Model. IIH-MSP Xin Zhi, Ziming Zhang, Yuhui Gao, Zhixiang Zhang
2012	C	`conf`	An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC Ziming Zhang, Qiang Guan, Song Fu
2012	—	`conf`	Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu
2012	A*	`conf`	Efficient discriminative learning of parametric nearest neighbor classifiers. CVPR Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr
2012	J	`jnl`	Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. Qiang Guan, Ziming Zhang, Song Fu
2011	C	`conf`	Characterizing Power and Energy Usage in Cloud Computing Systems. CloudCom Ziming Zhang, Song Fu
2011	B	`conf`	Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. ICCCN Qiang Guan, Ziming Zhang, Song Fu
2011	—	`conf`	Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu
2011	—	`conf`	Learning Anchor Planes for Classification. NIPS Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari
2011	—	`conf`	Learning Sparse Features On-Line for Image Classification. ICIAR (1) Ziming Zhang, Jiawei Huang, Ze-Nian Li
2011	C	`conf`	Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. IPCCC Ziming Zhang, Song Fu
2011	B	`conf`	Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES Qiang Guan, Ziming Zhang, Song Fu
2011	A*	`conf`	Proposal generation for object detection using cascaded ranking SVMs. CVPR Ziming Zhang, Jonathan Warrell, Philip H. S. Torr
2010	B	`conf`	AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach. ICPR Ziming Zhang, Ze-Nian Li, Mark S. Drew
2010	—	`conf`	Discovering Motion Patterns for Human Action Recognition. PCM (2) Ziming Zhang, Jiawei Huang, Ze-Nian Li
2010	—	`conf`	Failure prediction for autonomic management of networked computer systems with availability assurance. IPDPS Workshops Ziming Zhang, Song Fu
2010	B	`conf`	Learning image similarities via Probabilistic Feature Matching. ICIP Ziming Zhang, Ze-Nian Li, Mark S. Drew
2010	C	`conf`	Profiling and analysis of power consumption for virtualized systems and applications. IPCCC Ziming Zhang, Song Fu
2009	B	`conf`	Feature correspondence with constrained global spatial structures. ICIP Ziming Zhang, Ze-Nian Li, Mark S. Drew
2008	—	`conf`	Motion Context: A New Representation for Human Action Recognition. ECCV (4) Ziming Zhang, Yiqun Hu, Syin Chan, Liang-Tien Chia
2007	A	`conf`	Codebook+: A New Module for Creating Discriminative Codebooks. ICME Ziming Zhang, Syin Chan, Liang-Tien Chia
2007	—	`conf`	Discriminative Signatures for Image Classification. ICIP (2) Ziming Zhang, Syin Chan, Liang-Tien Chia
2007	A*	`conf`	Image classification using tensor representation. ACM Multimedia Ziming Zhang, Syin Chan, Liang-Tien Chia