Prof. Raymond Honfu Chan

Lingnan University, Hong Kong, China

Email: rhfchan@ln.edu.hk

Qualifications

1985 Ph.D., Applied Mathematics, Courant Institute of Mathematical Sciences, New York University, USA

1984 M.Sc., Applied Mathematics, Courant Institute of Mathematical Sciences, New York University, USA

1980 B.Sc., First Class Honours, The Chinese University of Hong Kong, China

Publications (Selected)

1. Li, L., Tai, X. C., & Chan, R. H. F. (2024). A new method to compute the blood flow equations using the physics-informed neural operator. Journal of Computational Physics, 519, 113380.
2. Pan, F., Wu, Y., Cui, K., Chen, S., Li, Y., Liu, Y., ... & Sun, D. (2024). Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images. Computers in Biology and Medicine, 182, 109151.
3. Wu, T., Huang, C., Jia, S., Li, W., Chan, R., Zeng, T., & Zhou, S. K. (2024). Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. Applied Mathematics and Computation, 477, 128795.
4. Tang, W., Cui, K., & Chan, R. H. (2024, May). Optimized hard exudate detection with supervised contrastive learning. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE.
5. Cui, K., Li, R., Polk, S. L., Lin, Y., Zhang, H., Murphy, J. M., ... & Chan, R. H. (2024). Superpixel-based and spatially-regularized diffusion learning for unsupervised hyperspectral image clustering. IEEE Transactions on Geoscience and Remote Sensing.
6. Tai, X. C., Liu, H., & Chan, R. (2024). PottsMGNet: A mathematical explanation of encoder-decoder based neural networks. SIAM Journal on Imaging Sciences, 17(1), 540-594.
7. Liu, Y., Cun, X., Liu, X., Wang, X., Zhang, Y., Chan, R. H., ... & Shan, Y. (2024). Evalcrafter: Benchmarking and evaluating large video generation models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 22139-22149).
8. Li, J., Jia, H., Zhou, J., Huang, X., Xu, L., Chan, R. H., ... & Yu, X. (2023). Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure. Nature communications, 14(1), 5009.
9. Yang, X., Gao, S., Yang, B., Yang, Z., Lou, F., Chan, R. H., ... & Zhang, K. (2023). Bioinspired Tumor‐Targeting and Biomarker‐Activatable Cell‐Material Interfacing System Enhances Osteosarcoma Treatment via Biomineralization. Advanced Science, 10(22), 2302272.
10. Camalan, S., Cui, K., Pauca, P., Alqahtani, S., Silman, M., Chan, R. H., ... & Plemmons, R. (2022, December). Detecting change due to alluvial gold mining in peruvian rainforest using recursive convolutional neural networks and contrastive learning. In AGU Fall Meeting Abstracts (Vol. 2022, pp. B52G-0905).
11. Camalan, S., Cui, K., Pauca, P., Alqahtani, S., Silman, M., Chan, R., ... & Plemmons, R. (2022, December). Detecting change due to alluvial gold mining in peruvian rainforest using recursive convolutional neural networks and contrastive learning. In AGU Fall Meeting Abstracts (Vol. 2022, pp. B52G-0905).
12. Chan, R. H., Chow, S. C., Guo, X., & Wong, W. K. (2022). Central moments, stochastic dominance, moment rule, and diversification with an application. Chaos, Solitons & Fractals, 161, 112251.
13. Li, R., Cui, K., Chan, R. H., & Plemmons, R. J. (2022, July). Classification of hyperspectral images using SVM with shape-adaptive reconstruction and smoothed total variation. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 1368-1371). IEEE.
14. Camalan, S., Cui, K., Pauca, V. P., Alqahtani, S., Silman, M., Chan, R. H., ... & Lutz, D. A. (2022). Change detection of amazonian alluvial gold mining using deep learning and sentinel-2 imagery. Remote Sensing, 14(7), 1746.
15. Chan, R. H., Clark, E., Guo, X., & Wong, W. K. (2020). New development on the third-order stochastic dominance for risk-averse and risk-seeking investors with application in risk management. Risk Management, 22(2), 108-132.
16. Wong, H. S., Wang, L., Chan, R., & Zeng, T. (2021). Deep tensor CCA for multi-view learning. IEEE Transactions on Big Data, 8(6), 1664-1677.

Profile Details

https://orcid.org/0000-0003-0910-4685

https://scholars.ln.edu.hk/en/persons/raymond-chan

https://scholar.google.com.hk/citations?user=ICiiEOAAAAAJ&hl=zh-CN&oi=sr

https://www.researchgate.net/profile/Raymond-Chan-14/4