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Zongwei Zhou

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2024
[j20]
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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): 318-330 (2024)
[j19]
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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: 102988 (2024)
[j18]
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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: 103226 (2024)
[j17]
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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: 103285 (2024)
[j16]
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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): 6070-6081 (2024)
[j15]
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Yucheng Tang, Jie Liu, Zongwei Zhou, Xin Yu, Yuankai Huo:
Efficient 3D Representation Learning for Medical Image Analysis. World Sci. Annu. Rev. Artif. Intell. 2: 2450002:1-2450002:27 (2024)
[c48]
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Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CVPR 2024: 11147-11158
[c47]
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Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang:
Structure-Aware Sparse-View X-Ray 3D Reconstruction. CVPR 2024: 11174-11183
[c46]
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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. ECCV (1) 2024: 283-299
[c45]
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Wenxuan Li, Alan L. Yuille, Zongwei Zhou:
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024
[c44]
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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. ISBI 2024: 1-5
[c43]
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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? ISBI 2024: 1-5
[c42]
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Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. MICCAI (1) 2024: 24-35
[c41]
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Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. MICCAI (1) 2024: 36-46
[i43]
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  - journals/corr/abs-2402-19423
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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 abs/2402.19423 (2024)
[i42]
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Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan L. Yuille, Chen Wei, Zongwei Zhou:
Towards Generalizable Tumor Synthesis. CoRR abs/2402.19470 (2024)
[i41]
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  - journals/corr/abs-2403-04116
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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 abs/2403.04116 (2024)
[i40]
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  - journals/corr/abs-2403-06459
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Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. CoRR abs/2403.06459 (2024)
[i39]
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  - journals/corr/abs-2403-08689
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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 abs/2403.08689 (2024)
[i38]
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  - journals/corr/abs-2405-18356
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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 abs/2405.18356 (2024)
[i37]
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  - journals/corr/abs-2406-00327
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Yixiong Chen, Zongwei Zhou, Alan L. Yuille:
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. CoRR abs/2406.00327 (2024)
[i36]
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  - journals/corr/abs-2407-04687
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Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. CoRR abs/2407.04687 (2024)
[i35]
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  - journals/corr/abs-2407-16697
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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 abs/2407.16697 (2024)
[i34]
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  - journals/corr/abs-2409-06035
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Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan L. Yuille, Zongwei Zhou:
Analyzing Tumors by Synthesis. CoRR abs/2409.06035 (2024)
2023
[j14]
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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: 240:1-240:113 (2023)
[c40]
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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: 93-106
[c39]
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  - conf/cvpr/JiLBZZY023
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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: 1094-1104
[c38]
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Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CVPR 2023: 7422-7432
[c37]
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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: 23890-23901
[c36]
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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: 21095-21107
[c35]
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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
[c34]
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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: 1-5
[c33]
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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. ISCA 2023: 82:1-82:14
[c32]
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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: 35-45
[c31]
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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: 706-716
[c30]
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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: 496-525
[c29]
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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
[c28]
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Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou:
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. WACV 2023: 3577-3589
[i33]
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  - journals/corr/abs-2301-00785
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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 abs/2301.00785 (2023)
[i32]
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  - journals/corr/abs-2303-14869
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Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CoRR abs/2303.14869 (2023)
[i31]
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  - journals/corr/abs-2304-01433
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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 abs/2304.01433 (2023)
[i30]
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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 abs/2305.09666 (2023)
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Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou:
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR abs/2306.00988 (2023)
[i28]
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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 abs/2308.03008 (2023)
[i27]
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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 abs/2310.02906 (2023)
[i26]
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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 abs/2310.15098 (2023)
[i25]
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Qixin Hu, Alan L. Yuille, Zongwei Zhou:
Synthetic Data as Validation. CoRR abs/2310.16052 (2023)
[i24]
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Yuanhao Cai, Jiahao Wang, Alan L. Yuille, Zongwei Zhou, Angtian Wang:
Structure-Aware Sparse-View X-ray 3D Reconstruction. CoRR abs/2311.10959 (2023)
2022
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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): 1519-1532 (2022)
[c27]
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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: 3242-3252
[c26]
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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: 5547-5569
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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: 129-146
[c24]
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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: 1444-1458
[i23]
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Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang:
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. CoRR abs/2201.08539 (2022)
[i22]
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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 abs/2204.02311 (2022)
[i21]
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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 abs/2207.02529 (2022)
[i20]
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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 abs/2210.02442 (2022)
[i19]
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Junfei Xiao, Yutong Bai, Alan L. Yuille, Zongwei Zhou:
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. CoRR abs/2210.12843 (2022)
[i18]
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Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Synthetic Tumors Make AI Segment Tumors Better. CoRR abs/2210.14845 (2022)
2021
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Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. Medical Image Anal. 67: 101840 (2021)
[j11]
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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: 101997 (2021)
[j10]
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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): 2857-2868 (2021)
[c23]
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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: 1-14
[c22]
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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: 692-702
[i17]
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  - journals/corr/abs-2102-10680
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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 abs/2102.10680 (2021)
[i16]
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  - journals/corr/abs-2109-07029
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Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR abs/2109.07029 (2021)
[i15]
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  - journals/corr/abs-2109-12265
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Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou:
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. CoRR abs/2109.12265 (2021)
[i14]
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  - journals/corr/abs-2109-13226
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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 abs/2109.13226 (2021)
[i13]
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  - journals/corr/abs-2111-13241
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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 abs/2111.13241 (2021)
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Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR abs/2111.13495 (2021)
[i11]
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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 abs/2112.01767 (2021)
[i10]
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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 abs/2112.06905 (2021)
2020
[j9]
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Weiming Hu, Xinchu Shi, Zongwei Zhou, Junliang Xing, Haibin Ling, Stephen J. Maybank:
Dual L₁-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching. Int. J. Comput. Vis. 128(2): 360-392 (2020)
[j8]
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Zongwei Zhou, Wenhan Luo, Qiang Wang, Junliang Xing, Weiming Hu:
Distractor-aware discrimination learning for online multiple object tracking. Pattern Recognit. 107: 107512 (2020)
[j7]
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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): 1856-1867 (2020)
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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(1s): 26:1-26:14 (2020)
[c21]
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Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI 2020: 85-95
[c20]
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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: 137-147
[c19]
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Zongwei Zhou, Yangxi Li, Jin Gao, Junliang Xing, Liang Li, Weiming Hu:
Anchor-Free One-Stage Online Multi-object Tracking. PRCV (2) 2020: 55-68
[i9]
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Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. CoRR abs/2004.07882 (2020)
[i8]
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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 abs/2007.06959 (2020)

2010 – 2019

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2019
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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): 290-299 (2019)
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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: 191-200
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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: 384-393
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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 abs/1908.06912 (2019)
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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 abs/1908.06965 (2019)
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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 abs/1909.09756 (2019)
[i4]
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Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR abs/1912.05074 (2019)
2018
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Zongwei Zhou, Junliang Xing, Mengdan Zhang, Weiming Hu:
Online Multi-Target Tracking with Tensor-Based High-Order Graph Matching. ICPR 2018: 1809-1814
[c15]
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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: 3-11
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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 abs/1802.00912 (2018)
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Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR abs/1807.10165 (2018)
2017
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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: 4761-4772
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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 abs/1702.02223 (2017)
2016
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Zongwei Zhou, Zhong Jin:
Two-dimension principal component analysis-based motion detection framework with subspace update of background. IET Comput. Vis. 10(6): 603-612 (2016)
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Zongwei Zhou, Zhong Jin:
Double nuclear norm-based robust principal component analysis for image disocclusion and object detection. Neurocomputing 205: 481-489 (2016)
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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): 316-330 (2016)
2015
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Zongwei Zhou, Miao Yu, Virgil D. Gligor:
Dancing with Giants: Wimpy Kernels for On-Demand I/O Isolation. IEEE Secur. Priv. 13(2): 38-46 (2015)
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Miao Yu, Virgil D. Gligor, Zongwei Zhou:
Trusted Display on Untrusted Commodity Platforms. CCS 2015: 989-1003
2014
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Zongwei Zhou:
On-demand Isolated I/O for Security-sensitive Applications on Commodity Platforms. Carnegie Mellon University, USA, 2014
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Yueqiang Cheng, Zongwei Zhou, Miao Yu, Xuhua Ding, Robert H. Deng:
ROPecker: A Generic and Practical Approach For Defending Against ROP Attacks. NDSS 2014
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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: 308-323
2013
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Zongwei Zhou, Jun Han, Yue-Hsun Lin, Adrian Perrig, Virgil D. Gligor:
KISS: "Key It Simple and Secure" Corporate Key Management. TRUST 2013: 1-18
2012
[c9]
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Xin Zhang, Zongwei Zhou, Hsu-Chun Hsiao, Tiffany Hyun-Jin Kim, Adrian Perrig, Patrick Tague:
ShortMAC: Efficient Data-Plane Fault Localization. NDSS 2012
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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: 616-630
[c7]
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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: 159-178
2011
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Xin Zhang, Zongwei Zhou, Geoffrey Hasker, Adrian Perrig, Virgil D. Gligor:
Network fault localization with small TCB. ICNP 2011: 143-154
2010
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Yaxuan Qi, Zongwei Zhou, Yiyao Wu, Yibo Xue, Jun Li:
Towards High-Performance Pattern Matching on Multi-Core Network Processing Platforms. GLOBECOM 2010: 1-5
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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: 143-158

2000 – 2009

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2008
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Yaxuan Qi, Zongwei Zhou, Baohua Yang, Fei He, Yibo Xue, Jun Li:
Towards effective network algorithms on multi-core network processors. ANCS 2008: 125-126
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Bo Xu, Yaxuan Qi, Fei He, Zongwei Zhou, Yibo Xue, Jun Li:
Fast Path Session Creation on Network Processors. ICDCS 2008: 573-580
2007
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Zongwei Zhou, Yibo Xue, Junda Liu, Wei Zhang, Jun Li:
MDH: A High Speed Multi-phase Dynamic Hash String Matching Algorithm for Large-Scale Pattern Set. ICICS 2007: 201-215

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