About Me (Google Scholar)
I am a post-doctoral research associate at the (DAMTP), University of Cambridge, working with Dr Angelica I. Aviles-Rivero, Prof. Carola-Bibiane Schönlieb, and Prof. Zoe Kourtzi. I received my doctor's degree from the University of Surrey, UK, supervised by Professor Tao Xiang and Professor Yi-Zhe Song. During my PhD years, I took internships at the University of Cambridge, Shanghai AI Lab, and iFlyTek. I received my master's degree from the University of Chinese Academy of Sciences (UCAS) and Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), supervised by Professor Yu Qiao and Doctor Xiaojiang Peng. I am also fortunate to work with Professor Zhifeng Li from 2016 to 2017.Research Interests
- Computer vision and deep learning
- Transfer learning, domain adaptation
- Semi-supervised learning
- Face recognition
- Semantic segmentation
- Medical image analysis
Publications
Please refer to my (Google Scholar) for the latest publications.Accepted papers
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TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Zhongying Deng, Yanqi Cheng, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.
IEEE Transactions on Intelligent Transportation Systems, vol. 26, pp. 2747-2759, 2025. [ ArXiv version], [Data] -
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Ziyan Huang*, Zhongying Deng*, Haoyu Wang*, Jin Ye*, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao.
Medical Image Analysis, 2025. (* Equal contribution) [Code] -
FCN+: Global Receptive Convolution Makes FCN Great Again
Xiaoyu Ren, Zhongying Deng §, Jin Ye, Junjun He, Yu Qiao, Dongxu Yang, Yi Liu.
NeuroComputing, 2025. (§ Corresponding author) [Code] -
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica Aviles-Rivero.
International Conference on Machine Learning (ICML), 2024. -
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica Aviles-Rivero.
ACM Multimedia, 2024. -
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
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.
NeurIPS Datasets and Benchmarks Track, 2024. -
Dynamic Instance Domain Adaptation
Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang
IEEE Transactions on Image Processing (TIP), 2022 [ ArXiv version], [Code] -
Robust Target Training for Multi-Source Domain Adaptation
Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang.
The British Machine Vision Conference (BMVC), 2022 (Oral presentation). [Code] -
Domain Attention Consistency for Multi-Source Domain Adaptation
Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang
The British Machine Vision Conference (BMVC), 2021 (Oral presentation) [code] -
Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition
Zhongying Deng, Xiaojiang Peng, Zhifeng Li, Yu Qiao
IEEE Transactions on Image Processing (TIP), 2019 -
Residual Compensation Networks for Heterogeneous Face Recognition
Zhongying Deng, Xiaojiang Peng, Yu Qiao
AAAI Conference on Artificial Intelligence (AAAI), 2019 [code] -
Adaptive Pyramid Context Network for Semantic Segmentation
Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao
International Conference on Computer Vision and Pattern Recognition (CVPR), 2019 -
Dynamic Multi-scale Filters for Semantic Segmentation
Junjun He, Zhongying Deng, Yu Qiao
International Conference on Computer Vision (ICCV), 2019 -
Learning Discriminative Representation for Facial Expression Recognition from Uncertainties
Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao
IEEE International Conference on Image Processing (ICIP), 2020
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Foundation Models for General Medical AI
Zhongying Deng, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I Aviles-Rivero, Junjun He, Shaoting Zhang.
Springer, vol. 15184, ISBN: 978-3-031-73470-0, 2024. - Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops: ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023
M. Emre Celebi, Md Sirajus Salekin, Hyunwoo Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu.
Springer, vol. 14393, ISBN : 978-3-031-47400-2, 2023
Academic Services
Journal reviewer:- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- International Journal of Computer Vision (IJCV)
- Pattern Recognition
- Neurocomputing
- Transactions on Machine Learning Research (TMLR)
- Artificial Intelligence In Medicine
- International Conference on Computer Vision and Pattern Recognition (CVPR)
- International Conference on Computer Vision (ICCV)
- European Conference on Computer Vision (ECCV)
- AAAI Conference on Artificial Intelligence (AAAI)
- Conference on Neural Information Processing Systems (NeurIPS)
- ACM Multimedia (ACM MM)
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
- MICCAI 2025 3rd International Workshop on Foundation Models for General Medical AI
- MICCAI 2024 2nd International Workshop on Foundation Models for General Medical AI
- MICCAI 2023 1st International Workshop on Foundation Models for General Medical AI
Invited Talks
- 2024, “Machine Learning for Brain and Mental Health”. HPC Pioneer Projects Event, Cambridge, UK
- 2024, “NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning”. Society for Industrial and Applied Mathematics (SIAM) Conference on Imaging Science, USA
- 2022, “Dynamic Instance Domain Adaptation”. Cambridge Image Analysis Internal Seminar, UK
- 2022, “Robust Target Training for Multi-Source Domain Adaptation”. BMVC Oral Presentation, UK
- 2021, “Domain Attention Consistency for Multi-Source Domain Adaptation”. BMVC Oral Presentation, UK
- 2019, “Residual Compensation Networks for Heterogeneous Face Recognition”. AAAI Spotlight Presentation, USA