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2020 – today
- 2026
[j13]Zhongying Deng
, Da Li, Xiaojiang Peng, Yi-Zhe Song, Tao Xiang:
BORT2: Bi-level optimization for robust target training in multi-source domain adaptation. Pattern Recognit. 172: 112367 (2026)- [j12]Zhongying Deng, Da Li, Junjun He, Xiaojiang Peng, Yi-Zhe Song, Tao Xiang:
Generative models for noise-robust training in unsupervised domain adaptation. Pattern Recognit. 172: 112450 (2026) - [j11]Zhongying Deng, Haoyu Wang, Ziyan Huang, Lipei Zhang, Angelica I. Avilés-Rivero, Chaoyu Liu, Junjun He, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Brain foundation models with hypergraph dynamic adapter for brain disease analysis. Pattern Recognit. 172: 112595 (2026) - [e3]Won-Ki Jeong, Hyunwoo J. Kim, Zhongying Deng, Yiqing Shen, Angelica I. Avilés-Rivero, Shaoting Zhang:
Foundation Models for General Medical AI - Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Lecture Notes in Computer Science 16112, Springer 2026, ISBN 978-3-032-07844-5 [contents] - 2025
- [j10]Hao Luo, Guixiang Cheng, Zhongying Deng, Haiyang Chi, Xin Yan:
CasText: Fusion of Text Information Flow and Global Perspective for Predicting the Size of Information Dissemination. Expert Syst. J. Knowl. Eng. 42(8) (2025) - [j9]Xiaoyu Ren, Zhongying Deng, Jin Ye, Junjun He, Dongxu Yang:
FCN+: Global receptive convolution makes FCN great again. Neurocomputing 631: 129655 (2025) - [j8]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. Medical Image Anal. 101: 103499 (2025) - [j7]Zhongying Deng, Yanqi Cheng, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. IEEE Trans. Intell. Transp. Syst. 26(2): 2747-2759 (2025) - [j6]Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. Trans. Mach. Learn. Res. 2025 (2025) - [j5]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He:
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images. IEEE Trans. Neural Networks Learn. Syst. 36(10): 17599-17612 (2025) - [e2]Zhongying Deng, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang:
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15184, Springer 2025, ISBN 978-3-031-73470-0 [contents] - [i27]Zhongying Deng, Haoyu Wang, Ziyan Huang, Lipei Zhang, Angelica I. Avilés-Rivero, Chaoyu Liu, Junjun He, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. CoRR abs/2505.00627 (2025) - [i26]Chaoyu Liu, Yangming Li, Zhongying Deng, Chris J. Budd, Carola-Bibiane Schönlieb:
Conservation-preserved Fourier Neural Operator through Adaptive Correction. CoRR abs/2505.24579 (2025) - [i25]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i24]Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu:
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs. CoRR abs/2510.01691 (2025) - [i23]Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He:
UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. CoRR abs/2510.15710 (2025) - 2024
- [j4]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. ECCV Workshops (16) 2024: 51-67 - [c14]Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. ICML 2024: 4624-4641 - [c13]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. ACM Multimedia 2024: 1265-1273 - [c12]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. NeurIPS 2024 - [i22]Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. CoRR abs/2402.03541 (2024) - [i21]Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. CoRR abs/2403.12719 (2024) - [i20]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i19]Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. CoRR abs/2411.03688 (2024) - [i18]Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He:
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. CoRR abs/2411.14522 (2024) - [i17]Jin Ye, Ying Chen, Yanjun Li, Haoyu Wang, Zhongying Deng, Ziyan Huang, Yanzhou Su, Chenglong Ma, Yuanfeng Ji, Junjun He:
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. CoRR abs/2411.14525 (2024) - 2023
- [j3]Chao Li, Xin Yan, Guangyi Xu, Zhongying Deng, Yuanyuan Mo:
Khmer Sentiment Lexicon Based on PU Learning and Label Propagation Algorithm. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 78:1-78:18 (2023) - [c11]Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng:
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. ISBI 2023: 1-5 - [c10]Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He:
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. FLARE@MICCAI 2023: 15-27 - [c9]Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He:
Evaluating STU-Net for Brain Tumor Segmentation. BraTS/CrossMoDA@MICCAI 2023: 140-151 - [e1]M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i16]Zhongying Deng, Xiaoyu Ren, Jin Ye, Junjun He, Yu Qiao:
FCN+: Global Receptive Convolution Makes FCN Great Again. CoRR abs/2303.04589 (2023) - [i15]Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation. CoRR abs/2303.05734 (2023) - [i14]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i13]Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao:
SAM-Med2D. CoRR abs/2308.16184 (2023) - [i12]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i11]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D. CoRR abs/2310.15161 (2023) - [i10]Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao:
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. CoRR abs/2311.11969 (2023) - [i9]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - [i8]Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He:
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. CoRR abs/2312.04344 (2023) - 2022
- [j2]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. IEEE Trans. Image Process. 31: 4585-4597 (2022) - [c8]Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. BMVC 2022: 778 - [c7]Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding:
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. LAScarQS@MICCAI 2022: 24-35 - [c6]Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He:
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. FLARE@MICCAI 2022: 178-189 - [i7]Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang:
Dynamic Instance Domain Adaptation. CoRR abs/2203.05028 (2022) - [i6]Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He:
An evaluation of U-Net in Renal Structure Segmentation. CoRR abs/2209.02247 (2022) - [i5]Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang:
Robust Target Training for Multi-Source Domain Adaptation. CoRR abs/2210.01676 (2022) - [i4]Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He:
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. CoRR abs/2210.07490 (2022) - [i3]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR abs/2211.09593 (2022) - [i2]Zhongying Deng, Yanqi Cheng, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. CoRR abs/2211.09620 (2022) - 2021
- [c5]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC 2021: 4 - [i1]Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang:
Domain Attention Consistency for Multi-Source Domain Adaptation. CoRR abs/2111.03911 (2021) - 2020
- [c4]Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao:
Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. ICIP 2020: 903-907
2010 – 2019
- 2019
- [j1]Zhongying Deng, Xiaojiang Peng, Zhifeng Li, Yu Qiao:
Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. IEEE Trans. Image Process. 28(6): 3102-3114 (2019) - [c3]Zhongying Deng, Xiaojiang Peng, Yu Qiao:
Residual Compensation Networks for Heterogeneous Face Recognition. AAAI 2019: 8239-8246 - [c2]Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao:
Adaptive Pyramid Context Network for Semantic Segmentation. CVPR 2019: 7519-7528 - [c1]Junjun He, Zhongying Deng, Yu Qiao:
Dynamic Multi-Scale Filters for Semantic Segmentation. ICCV 2019: 3561-3571
Coauthor Index
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