Zongwei Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 88

Top Venues

Publications

Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical Image Anal. 91 (2024)
Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? CoRR (2024)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. CoRR (2024)
Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR (2024)
Yixiong Chen, Zongwei Zhou, Alan L. Yuille
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. CoRR (2024)
Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou
Towards Generalizable Tumor Synthesis. CoRR (2024)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou
From Pixel to Cancer: Cellular Automata in Computed Tomography. CoRR (2024)
Wenxuan Li, Alan L. Yuille, Zongwei Zhou
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR (2024)
Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan L. Yuille
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis. CoRR (2024)
Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 97 (2024)
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography. CoRR (2024)
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan L. Yuille, Zongwei Zhou
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. Mach. Intell. Res. 21 (2) (2024)
Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. Medical Image Anal. 97 (2024)
Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille
Embracing Massive Medical Data. CoRR (2024)
Yixiong Chen, Alan L. Yuille, Zongwei Zhou
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks. ICLR (2023)
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. CoRR (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) (2023)
Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. ISBI (2023)
Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. CoRR (2023)
Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. NeurIPS (2023)
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Label-Free Liver Tumor Segmentation. CoRR (2023)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24 (2023)
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR (2023)
Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. MIDL (2023)
Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV (2023)
Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang
Structure-Aware Sparse-View X-ray 3D Reconstruction. CoRR (2023)
Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Clif Young, Xiang Zhou, Zongwei Zhou, David A Patterson
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. ISCA (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR (2023)
Qixin Hu, Alan L. Yuille, Zongwei Zhou
Synthetic Data as Validation. CoRR (2023)
Shibo Wang, Jinliang Wei, Amit Sabne, Andy Davis, Berkin Ilbeyi, Blake Hechtman, Dehao Chen, Karthik Srinivasa Murthy, Marcello Maggioni, Qiao Zhang, Sameer Kumar, Tongfei Guo, Yuanzhong Xu, Zongwei Zhou
Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. ASPLOS (1) (2023)
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. CVPR (2023)
Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. WACV (2023)
Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. CVPR (2023)
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan L. Yuille, Zongwei Zhou
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. CoRR (2023)
Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan L. Yuille, Zongwei Zhou
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis. CoRR (2023)
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Label-Free Liver Tumor Segmentation. CVPR (2023)
Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR (2023)
Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) (2023)
Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning. CoRR (2022)
Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. CoRR (2022)
Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Synthetic Tumors Make AI Segment Tumors Better. CoRR (2022)
Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. ICML (2022)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. MIDL (2022)
Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. CoRR (2022)
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li
Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR (2022)
Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. CoRR (2022)
Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou
CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI (2022)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. CoRR (2022)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning. CoRR (2021)
Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. CoRR (2021)
Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. CoRR (2021)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. MLMI@MICCAI (2021)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2021)
Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR (2021)
Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. CoRR (2021)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. Medical Image Anal. 67 (2021)
Norman P. Jouppi, Doe Hyun Yoon, Matthew Ashcraft, Mark Gottscho, Thomas B. Jablin, George Kurian, James Laudon, Sheng Li, Peter C. Ma, Xiaoyu Ma, Thomas Norrie, Nishant Patil, Sushma Prasad, Cliff Young, Zongwei Zhou, David A. Patterson
Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product. ISCA (2021)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Anal. 71 (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. IEEE Trans. Medical Imaging 40 (10) (2021)
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR (2021)
Zhaoju Li, Zongwei Zhou, Nan Jiang, Zhenjun Han, Junliang Xing, Jianbin Jiao
Spatial Preserved Graph Convolution Networks for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 16 (Special) (2020)
Weiming Hu, Xinchu Shi, Zongwei Zhou, Junliang Xing, Haibin Ling, Stephen J. Maybank
-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching. Int. J. Comput. Vis. 128 (2) (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration. CoRR (2020)
Zongwei Zhou, Wenhan Luo, Qiang Wang, Junliang Xing, Weiming Hu
Distractor-aware discrimination learning for online multiple object tracking. Pattern Recognit. 107 (2020)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. CoRR (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. MICCAI (1) (2020)
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI (2020)
Zongwei Zhou, Yangxi Li, Jin Gao, Junliang Xing, Liang Li, Weiming Hu
Anchor-Free One-Stage Online Multi-object Tracking. PRCV (2) (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. IEEE Trans. Medical Imaging 39 (6) (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR (2019)
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake A. Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou
Scale MLPerf-0.6 models on Google TPU-v3 Pods. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV (2019)
Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. J. Digit. Imaging 32 (2) (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) (2019)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. CoRR (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Zongwei Zhou, Junliang Xing, Mengdan Zhang, Weiming Hu
Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching. ICPR (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR (2018)
Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. CVPR (2017)
Hongkai Wang, Zongwei Zhou, Yingci Li, Zhonghua Chen, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images. CoRR (2017)
Qing Liu, Zhihui Lai, Zongwei Zhou, Fangjun Kuang, Zhong Jin
A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion. IEEE Trans. Image Process. 25 (1) (2016)
Zongwei Zhou, Zhong Jin
Double nuclear norm-based robust principal component analysis for image disocclusion and object detection. Neurocomputing 205 (2016)
Zongwei Zhou, Zhong Jin
Two-dimension principal component analysis-based motion detection framework with subspace update of background. IET Comput. Vis. 10 (6) (2016)
Zongwei Zhou, Miao Yu, Virgil D. Gligor
Dancing with Giants: Wimpy Kernels for On-Demand I/O Isolation. IEEE Secur. Priv. 13 (2) (2015)
Miao Yu, Virgil D. Gligor, Zongwei Zhou
Trusted Display on Untrusted Commodity Platforms. CCS (2015)
Zongwei Zhou, Miao Yu, Virgil D. Gligor
Dancing with Giants: Wimpy Kernels for On-Demand Isolated I/O. IEEE Symposium on Security and Privacy (2014)
Yueqiang Cheng, Zongwei Zhou, Miao Yu, Xuhua Ding, Robert H. Deng
ROPecker: A Generic and Practical Approach For Defending Against ROP Attacks. NDSS (2014)
Zongwei Zhou, Jun Han, Yue-Hsun Lin, Adrian Perrig, Virgil D. Gligor
KISS: "Key It Simple and Secure" Corporate Key Management. TRUST (2013)
Xin Zhang, Zongwei Zhou, Hsu-Chun Hsiao, Tiffany Hyun-Jin Kim, Adrian Perrig, Patrick Tague
ShortMAC: Efficient Data-Plane Fault Localization. NDSS (2012)
Zongwei Zhou, Virgil D. Gligor, James Newsome, Jonathan M. McCune
Building Verifiable Trusted Path on Commodity x86 Computers. IEEE Symposium on Security and Privacy (2012)
Amit Vasudevan, Emmanuel Owusu, Zongwei Zhou, James Newsome, Jonathan M. McCune
Trustworthy Execution on Mobile Devices: What Security Properties Can My Mobile Platform Give Me? TRUST (2012)
Xin Zhang, Zongwei Zhou, Geoffrey Hasker, Adrian Perrig, Virgil D. Gligor
Network fault localization with small TCB. ICNP (2011)
Yaxuan Qi, Zongwei Zhou, Yiyao Wu, Yibo Xue, Jun Li
Towards High-Performance Pattern Matching on Multi-Core Network Processing Platforms. GLOBECOM (2010)
Jonathan M. McCune, Yanlin Li, Ning Qu, Zongwei Zhou, Anupam Datta, Virgil D. Gligor, Adrian Perrig
TrustVisor: Efficient TCB Reduction and Attestation. IEEE Symposium on Security and Privacy (2010)
Bo Xu, Yaxuan Qi, Fei He, Zongwei Zhou, Yibo Xue, Jun Li
Fast Path Session Creation on Network Processors. ICDCS (2008)

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Publication Activity (10 Years)

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Zongwei Zhou