Projects per year
Personal profile
Personal profile
Dr. Kang Dang obtained his PhD from Nanyang Technological University, Singapore. His work focuses on developing innovative artificial intelligence solutions for medical applications. Dr. Dang has published in prestigious journals and conferences, including Nature Medicine, Cell Patterns, IEEE JBHI, MICCAI, AAAI, and ICCV, and holds seven patents. He has also led teams at companies like VoxelCloud, where he developed AI products for skin disease identification, retinal disease diagnosis, and COVID-19 detection.
At Xi'an Jiaotong-Liverpool University, Dr. Dang is dedicated to educating and mentoring the next generation of technology professionals. He collaborates with leading hospitals, including Shanghai Ruijin Hospital, Beijing Xiehe Hospital, and Shanghai No. 9 Hospital, while driving cutting-edge research within the university’s AI for Digital Health Laboratory. Additionally, he serves as the AIAC School Final Year Project (FYP) Coordinator.
Dr. Dang is also an active contributor to the academic community, serving as a reviewer for top conferences and journals, including MM25, ICCV25, CVPR25, AAAI24/25, MICCAI23/24, and IEEE TMM, TCSVT, and TIP. Moreover, he serves as the Area Chair (AC) for MICCAI 2025.
I am currently recruiting PhD students with scholarship support. To learn more about my research, visit my Google Scholar profile. If you are interested please contact me at kang.dang@xjtlu.edu.cn. Be sure to include your CV and a brief statement of your research interests in your email.
Research interests
computer vision, deep learning, medicial image analysis
Teaching
DTS304TC Machine Learning
DTS311TC Final Year Project
DTS202TC Fundamentals of Parallel Computing
DTS002TC Essentials of Big Data
Awards and honours
- Outstanding Instructor of the 2nd National Artificial Intelligence Application Scenario Innovation Challenge 2024 (2024第二届全国人工智能应用场景创新挑战赛优秀指导老师)
- Industry mentor for professional degree doctoral students at Shanghai Jiao Tong University, from December 2022 to December 2025 (上海交通大学专业学位博士研究生行业导师， 2022年12月到2025年12月)
- ISBI Best Paper Finalist Award, 2022
- 2nd place in 2021 MICCAI GAMMA Contest, 3rd place in 2020 ISBI IAMD Contest, and 4th place in 2020 COVID-19-20 Lung CT Lesion Segmentation Challenge
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 6 Active
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TDF2526-R31-304: Evaluating the Effectiveness of an Academic–Industry Co-Teaching Syntegrative Education Model in Developing Students’ Capability to Propose Innovative Sustainable Solutions
Zhang, B. (PI), Wu, T. (CoI), He, T. (CoI), Liu, K. (CoI), Su, Q. (CoI), Zhao, Y. (CoI), Zhang, F. (CoI), Dang, K. (CoI), Weiqi , Z. (CoI) & Tianqi, H. (CoI)
1/03/26 → 31/03/27
Project: Internal Research Project
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Innovative Syntegrative Education: Emotions Understanding in Human–Robot Interaction through Industry-Engaged Project-Based Learning
Li, C. (PI), Su, J. (Team member), Zhou, M. (Team member), Dang, K. (Team member), Jiang, Z. (Team member), Bai, T. (Team member), Hasan, M. M. (Team member), Stefanidis, A. (Team member), Zhong, H. (Team member), Hu, B. (Team member), Dong, Y. (Team member), Chen, S.-H. (Team member), Zhang, J. (Team member) & Sun, H. (Team member)
1/01/26 → 31/12/28
Project: Internal Research Project
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CoESE: EIS (EEH+Industry+Society) TechUp Alliance Accelerates the Prototype Development of Student’ Entrepreneurial Syntegrative Projects
Zhang, B. (PI), Wu, T. (Team member), Lo, J. (Team member), Liu, K. (Team member), He, T. (Team member), Zhao, Y. (Team member), Zhang, F. (Team member), Dang, K. (Team member), Hu, B. (Team member), Song, J. (Team member) & Huang, T. (Team member)
30/06/25 → 31/05/27
Project: Internal Research Project
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AI-Powered Multimodal Screening for Early Detection of Thyroid Disorders via Smartphone-Based Diagnostics
Dang, K. (PI)
1/05/25 → 31/12/26
Project: Internal Research Project
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AI-Powered Multimodal Screening for Early Detection of Thyroid Disorders via Smartphone-Based Diagnostics
Dang, K. (PI)
1/01/25 → 31/12/26
Project: Internal Research Project
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CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility
Li, Y., Zhang, Y., Tang, F., Hu, M., Lu, Z., Xue, H., Wu, J., Chen, R., Zhou, M., Dang, K., Li, C., Wang, Y., Razzak, I. & Su, J., 20 Apr 2026, KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. Association for Computing Machinery, p. 2723-2734 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1-A).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Enhancing decision boundaries in continual learning through a decoupled Gaussian framework
Feng, Z., Chen, C., Yang, Z., Yu, L., Kuang, P., Zhou, M., Dang, K., Gao, Z. & Ju, Y., Dec 2026, In: Information Processing and Management. 63, 8, 104963.Research output: Contribution to journal › Article › peer-review
Open Access -
HolistAno: Retinal anomaly detection with holistic feature modeling
Niu, J., Dang, K., Xi, N., Yuan, J., Liu, Y., Zhou, M., Su, J. & Ding, X., 5 Jul 2026, In: Expert Systems with Applications. 319, 132019.Research output: Contribution to journal › Article › peer-review
Open Access -
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
Wu, Z., Zhao, Q., Hu, M., Li, Y., Xue, H., Jiang, Z., Stefanidis, A., Wang, Q., Razzak, I., Ge, Z., He, J., Qiao, Y., Zheng, Z., Tang, F., Dang, K. & Su, J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 378-388 11 p. (Lecture Notes in Computer Science; vol. 15961 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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TIPS: Two-level prompt selection for more stability-plasticity balance in continual learning
Feng, Z., Peng, L., Dang, K., Zhou, M., Kuang, P., Wu, M. Y., Yu, L. & Su, J., Mar 2026, In: Pattern Recognition. 171, part B, 112276.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
Activities
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2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025 (Event)
Dang, K. (Reviewer)
2025Activity: Peer-review and editorial work of publications › Publication Peer-review
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International Conference on Computer Vision, ICCV 2025 (Event)
Dang, K. (Reviewer)
2025Activity: Peer-review and editorial work of publications › Publication Peer-review
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Master supervision for Haotian Liu
Dang, K. (Supervisor)
2025Activity: Supervision › Master Dissertation Supervision
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28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025)
Dang, K. (Member of programme committee)
2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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33rd ACM International Conference on Multimedia (Event)
Dang, K. (Reviewer)
2025Activity: Peer-review and editorial work of publications › Publication Peer-review