Personal profile
Education
- 1995 PhD, Department of Computer Engineering, University of Missouri-Columbia, USA.
Research Interests
- Artificial Intelligence
- Big data Analysis
- Biomedical Information Retrieval
- Cancer and Stem Cell Research
- Cloud Healthcare
- Computational Intelligence
- Mobile Computing
Experience
- 1995~1996 Researcher, Computer and Communications Laboratory(CCL), Industrial Technology Research Institute(ITRI)
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 -
SDG 10 Reduced Inequalities
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Dive into the research topics where Jung-Hsien Chiang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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
- 40 Finished
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基於卷積式不確定性注意力模塊之對比式深度學習框架在早期肺癌病癥偵測系統之開發
Chiang, J.-H. (PI)
21-08-01 → 22-07-31
Project: Research project
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建置一個具多層次學習能力的居家照護機器人之後端推論機制--以銀髮族與糖尿病患者之陪伴與照護實證( III )
Chiang, J.-H. (PI)
20-01-01 → 20-12-31
Project: Research project
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建置一個具多層次學習能力的居家照護機器人之後端推論機制-以銀髮族與糖尿病患者之陪伴與照護實證(2/3)
Chiang, J.-H. (PI)
19-01-01 → 19-12-31
Project: Research project
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CAS: enhancing implicit constrained data augmentation with semantic enrichment for biomedical relation extraction and beyond
Su, F. Y., Ngo, G. H., Phan, B. & Chiang, J. H., 2025, In: Database. 2025, baaf025.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Contrastive learning enhances fairness in pathology artificial intelligence systems
Lin, S. Y., Tsai, P. C., Su, F. Y., Chen, C. Y., Li, F., Zhao, J., Ho, Y. Y., Lee, T. L. M., Healey, E., Lin, P. J., Kao, T. W., Vremenko, D., Roetzer-Pejrimovsky, T., Sholl, L., Dillon, D., Lin, N. U., Meredith, D., Ligon, K. L., Lo, Y. C. & Chaisuriya, N. & 9 others, , 2025 Dec 16, In: Cell Reports Medicine. 6, 12, 102527.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
DiffuCE: Expert-Level CBCT Image Enhancement Using a Novel Conditional Denoising Diffusion Model with Latent Alignment
Su, F. Y., Chang, T. H. & Chiang, J. H., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers Inc., p. 4635-4644 10 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Generative AI to augment the fairness of foundation models in cancer pathology diagnosis.
Lin, S. Y., Tsai, P. C., Dong, Y., Lin, P. C., Su, F. Y., Ho, Y. Y., Kao, T. W., Lee, T. L. M., Lin, P. J., Chiang, J. H. & Yu, K. H., 2025 Jun, In: Journal of Clinical Oncology. 43, p. e23230-e23230Research output: Contribution to journal › Article › peer-review
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Risk of intradialytic hypotension among different antihypertensives in haemodialysis patients
Chen, T. Y., Hsieh, M. H. C., Su, F. Y., Li, C. Y., Wang, M. C., Tseng, C. C., Liu, K. H., Chiang, J. H. & Lai, E. C. C., 2025 Jun 1, In: Clinical Kidney Journal. 18, 6, sfaf159.Research output: Contribution to journal › Article › peer-review
Open Access