Sun Hui

Sun Hui

Sun Hui, Ph.D., member of the Communist Party of China, is a postdoctoral fellow at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He received a bachelor’s degree in engineering from Sichuan Agricultural University in 2016, a master’s degree in control theory and control engineering from Northeastern University in 2020, and a doctorate in mechanical engineering from City University of Hong Kong in 2024. From November 2024 to October 2025, he served as a postdoctoral researcher in the School of Mechanical Engineering. During his doctoral and postdoctoral years, he led and participated in a number of interdisciplinary research projects, focusing on generative deep learning, wearable sensing technology, micro-nanoscale image super-resolution and other fields. He has rich experience in experimental design and algorithm development. Current research directions include: wearable health sensing sensors, deep learning and data enhancement, micro-nano image super-resolution reconstruction, and large language models and multi-modal intelligent systems.

In the past five years, he has published more than 10 papers as the first author or co-author in internationally renowned journals such as Microsystems & Nanoengineering (District 1, Chinese Academy of Sciences, IF: 9.9), ACS Applied Electronic Materials (District 3, Chinese Academy of Sciences, IF: 4.5), ACS Sensors (District 1, Chinese Academy of Sciences, IF: 8.3), and has applied for 2 related invention patents. Possess solid theoretical and engineering capabilities in deep learning, micro-nano sensing, large language model deployment and multi-modal system integration.

Research directions:

Wearable intelligent perception and voice interaction system: Based on flexible sensors and deep learning models, it achieves speech recognition and reconstruction without noise interference, and can provide new auxiliary communication solutions for patients with throat injuries, vocal cord disorders or postoperative voice loss.

Micro-nanoscale image super-resolution and reconstruction: Use generative adversarial networks to enhance optical microscopy images to nanometer-level resolution, which can be applied to biological and material detection.

Large language model and multi-modal intelligent system: Develop RAG enhanced retrieval system based on LLaMA, Qwen and other models to realize intelligent question and answer and multi-round dialogue tasks.

Representative papers:

  1. Sun, H., Luo, H., Wang, F., … & Li, W.J. “Deep Learning-Enabled Transformation of Scanning Superlens Microscopy Images into Scanning Electron Microscopy-like Large Depth-of-Field Images.” Microsystems & Nanoengineering, 2025. (District 1, Chinese Academy of Sciences, IF: 9.9)

  2. Yang, X# ., Sun, H# ., Feng, Y., Yu,

  3. Feng, Y., Wu, C., Chen, M., Sun, H., Vellaisamy, A. L. R., Daoud, W. A., … & Li, W. J. Amoeba-Inspired Self-Healing Electronic Slime for Adaptable, Durable Epidermal Wearable Electronics. Advanced Functional Materials, 2402393, 2024. (District 1, Chinese Academy of Sciences, IF: 18.5)

  4. Feng, Y., Sun, H., Chen, M., Wu, C., Li, J., Li, Z., … & Li, W. J. An Electronic Slime-Based Epidermal Electrode Using Carbon Nanocomposites for Biosignal Sensing. IEEE Open Journal of Nanotechnology, 2024. (District 4, Chinese Academy of Sciences, IF: 1.8)

  5. Zhao, Y., Gu, L., Sun, H., Sha,

  6. Sun, H. , Yang, X., Wu, C., Feng, Y., Chen, M., Zhang, G., & Li, W. J. Advancing Human-Machine Interaction Using Intelligent Wearable Acoustic Sensors in Noisy Environments. In International Conference on Intelligent Robotics and Applications (pp. 409-421). Singapore: Springer Nature Singapore, 2024.

  7. Sun, H. , Chen, M., Wu, C., Luo, H., Chen, Q., Jia, B., … & Li, W. J. Acquiring Large Field-of-View Optical Super-Resolution Images Using Adaptive As-Natural-As-Possible (AANAP) Image Stitching Method. In 2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 1033-1037), 2023. IEEE.

invention patent

  1. A new nanoparticle superlens microscopy technology and preparation method, SUN, H., JIA, B., ZHANG, G & LI, W. J, 15 Sept 2022, Priority No. 202211122629.4

  2. Machine learning algorithm to convert sub-diffraction limit nanoscale optical microscopy images into large-field scanning electron microscope quality images, SUN, H.,CHEN, M., ZHANG, G. & LI, W. J., 29 Aug 2022, Priority No. 202211041006.4

Translated from the original Chinese source.

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