I am currently a 4th year PhD student in the Department of Computer Science, Harbin Institute of Technology (Shenzhen). Previously, I received my MSE and BSE degrees from Central South University and Luoyang Institute of Technology in 2020 and 2017. My Ph.D. supervisors are Prof. Yongbing Zhang from Harbin Institute of Technology (Shenzhen), Assistant Prof. Shangguo Hou from Shenzhen Bay Laboratory and Prof. Jonas Ries from Max Perutz Lab. My research interests lie primarily in super-resolution imaging and single-molecule tracking. During my study in HIT and SZBL, I developed a single molecule spectrum tracking system. With this system, we can track the spectrum of single molecules at the spatiotemporal scale of millisecond-nanometers. Besides, I also had a good time with Assistant Prof. Sanyang Han and Prof. Chenguang Wang.

Find more details in his curriculum vitae -> CV

Education Background

Harbin Institute of Technology (Shenzhen) 2021.09 -

• Ph.D. in Electronic Information, School of Computer Science and Technology
• Computing imaging, Artificial intelligence
• advised by Prof. Yongbing Zhang

University of Vienna 2024.09 - 2025.09

• Joint Ph.D. in Advanced Microscopy and Cellular Dynamics at the Max Perutz labs
• Single Molecule Localization Super-resolution Microscope, Deep Learning
• advised by Prof. Jonas Ries

Shenzhen Bay Laboratory 2022.01 - 2024.09

• Visiting student at the Institute of Systems and Physical Biology
• Single particle tracking, super-resolution imaging, spectrum imaging
• Co-advised by Assistant Prof. Shangguo Hou

Central South University 2017.9 - 2020.6

• GPA 3.6/4.0, Ranked 11 out of 168 students
• M.S. in Mechanical engineering, Summa Cum Laude
• Intelligent detection, Automation

LuoYang Institute of Technology 2013.9 - 2017.6

• GPA 3.5/4.0, Ranked No.1 totally
• B.S. in Automation, Summa Cum Laude
• Mechanical Engineering Departmental Honors

Breaking News

• [23/04/2025] 🎉🎉🎉 Our manuscript titled “Rational development of Nile red derivatives with significantly improved specificity and photostability for advanced fluorescence imaging of lipid droplets” has been published by Biosensors and Bioelectronics! Congratulations!

• [10/04/2025] 🎉🎉🎉Congratulations to me for being awarded the title of Outstanding Graduate of Heilongjiang Province in 2025

• [26/02/2025] 🎉🎉🎉 Our manuscript titled “Adaptive lensless microscopic imaging with unknown phase modulation” has been published by Biomedical Optics Express! Congratulations!

• [13/12/2024] 🎉🎉🎉 I have been awarded the BYD Doctoral Scholarship of the School of Computer Science and Technology of Harbin Institute of Technology (Shenzhen) for 2024!!

• [11/10/2024] 🎉🎉🎉 Our manuscript titled “Reliable deep learning in anomalous diffusion against out-of-distribution dynamics” has been published by Nature Computation Science! I am the co-first author and congratulations to Xiaochen!

• [19/08/2024] 🎉🎉🎉 Congratulations to Senior Brother Liu Shuai on successfully defending his PhD thesis. Wishing him all the best in his future endeavors!!

Selected publications

• H. Zheng*, H Sha*, et al. Rational Development of Nile Red Derivatives with Significantly Improved Specificity and Photostability for Lipid Droplets Fluorescence Bioimaging. Biosensors and Bioelectronics 282, 117494(2025).
• X. Feng, Y. Jiang, H. Sha, et al. ROMA: Regularization for Out-of-distribution Detection with Masked Autoencoders. IEEE International Conference on Multimedia & Expo (ICME, 2025). (CCF B)
• X Chen, H Sha, et al. Adaptive lensless microscopic imaging with unknown phase modulation. Biomedical Optics Express 16(3), 1160-1171(2025).
• X Feng*, H Sha*, et al. Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nature Computational Science 4(10), 761-772(2024).
• S Liu, B Chen, W Zou, H Sha, et al. Compressive confocal microscopy imaging at the single-photon level with ultra-low sampling ratios. Communications Engineering 3, 88(2024).
• S Liu, W Zou, H Sha, et al. Deep learning-enhanced snapshot hyperspectral confocal microscopy imaging system. Optics Express 32(8), 13918-13931(2024).
• H Sha, H Li, Y Zhang, S Hou. Deep learning-enhanced single-molecule spectrum imaging. APL Photonics 8(9), 096102(2023).
• Y Jiang*, H Sha*, S Liu, P Qin, Y Zhang. AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. Biomedical Optics Express 14(9), 4814-4827(2023).
• S Liu, P Li, H Sha, et al. Intensity and phase imaging through scattering media via deep despeckle complex neural networks. Optics and Lasers in Engineering 159, 107196(2022).
• H Sha*, Y Liu*, Y Zhang. 基于深度学习的傅里叶叠层成像技术. Laser & Optoelectronics Progress 58(18), 1811020(2021).