Artificial Intelligence, Computer Vision, Smart Healthcare, LLM, Blockchain, Embodied Intelligent Surgical Robots, AI Chips, On-Device Large Models, Parallel Computing, etc.

• 2017–08 – 2021–12 University of Colorado, USA — Ph.D.
• 2010–09 – 2013–05 Politecnico di Torino, Italy — Master
• 2005–09 – 2009–05 Henan Polytechnic University, China — Bachelor

   

• 2025–10 – Present Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences — Associate Research Professor
• 2022–09 – 2025–09 Guangzhou University — Associate Professor
• 2021–05 – 2022–05 Moffett AI (USA) — Senior Engineer

• 2018–08 – 2021–05 University of Colorado Denver, USA — Lecturer
• 2017–08 – 2021–05 Metropolitan State University of Denver, USA — Lecturer

   

Huang J., Lei X., Wang Q., Sinitsyn V., Zhu Y., Hu Y., Chen H., Pang Y.* HiLo: Spatial-Spectral Hybrid High-Low Frequency Activation for Heart and Brain Vessel Segmentation, in Expert Systems With Applications, 2026

https://doi.org/10.1016/j.eswa.2026.133453    

 

Huang J., Yan. J., Wang Q., Meng Q., Li J., Pang Y.* OCTMamba: A Lightweight Ear Segmentation Framework for 3D Portable Endoscopic OCT Scanner, in Expert Systems with Applications, vol. 315, no. 5, pp. 131678, 2026

https://doi.org/10.1016/j.eswa.2026.131678   

Huang J., Huang J., Zhang M., Wang Q., Pei X., Hu Y., Chen H., Pang Y.* UltraMamba: Mamba-based Multimodal Ultrasound Image Adaptive Fusion for Breast Lesion Segmentation, in IEEE Transactions on Medical Imaging, vol. 45, no. 5, pp.2360-2372, 2026

https://doi.org/10.1109/TMI.2026.3653779      

Pang Y., Long Y., Chen Z., Hu Y. Chen H., Wang Q. Endoscopic Adaptive Transformer for Enhanced Polyp Segmentation in Endoscopic Imaging, in IEEE Transactions on Medical Imaging, vol. 45, no. 3, pp. 987-999, 2026

https://doi.org/10.1109/TMI.2025.3615677       

Pang Y., Li Y., Liang J., Chen H., Hu Y., Wang Q. SegTom: A 3D Volumetric Medical Image Segmentation Framework for Thoracoabdominal Multi-Organ Anatomical Structures, in IEEE Journal of Biomedical and Health Informatics, vol. 30, no. 1, pp. 551-563, 2026

https://doi.org/10.1109/JBHI.2025.3606266     

Pang Y., Liang J., Yan J., Hu Y., Chen H., Wang, Q. Slim UNETRV2: 3D Image Segmentation for Resource-Limited Medical Portable Devices, in IEEE Transactions on Medical Imaging, vol. 45, no. 2, pp. 542-553, 2026

https://doi.org/10.1109/TMI.2025.3602145     

Pang Y., Liu X., Huang T., Hong Y., Huang J., Duan S., Dong C. Graph-based Contract Sensing Framework for Smart Contract Vulnerability Detection, in IEEE Transactions on Big Data, vol. 11, no. 6, pp. 3356-3368, 2025

https://doi.org/10.1109/TBDATA.2025.3594303   

Huang T., Huang J., Dong C., Duan S., Pang Y.* SAMamba: Structure-Aware Mamba for Ethereum Fraud Detection, in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 7410-7423, 2025

https://doi.org/10.1109/TIFS.2025.3589015   

Huang J., Huang T., Dong C., Duan S., Pang Y.* Hierarchical Network with Local-Global Awareness for Ethereum Account De-anonymization, in IEEE Transactions on Systems, Man and Cybernetics: Systems, 2025, vol. 55, no. 9, pp. 5839-5852, 2025        

https://doi.org/10.1109/TSMC.2025.3571795   

Pang Y., Li Y., Huang T., Liang J., Ding Z., Chen H., Zhao B., Hu Y., Zhang Z., Wang Q. Efficient Breast Lesion Segmentation from Ultrasound Videos Across Multiple Source-limited Platforms, in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 12, pp. 8890-8903, 2025

https://doi.org/10.1109/JBHI.2025.3543435      

Pang Y., Li Y., Huang T., Liang J., Wang Z., Dong C., Kuang D., Hu Y., Chen H., Lei T., Wang Q. Online Self-distillation and Self-modeling for 3D Brain Tumor, in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 12, pp. 8965-8975, 2025

https://doi.org/10.1109/JBHI.2025.3530715       

Pang Y., Liang J., Huang T., Chen H., Li Y., Li D., Huang L., Wang, Q. Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources, in IEEE Transactions on Medical Imaging, vol. 43, no. 3, pp. 994-1005, 2024

https://doi.org/10.1109/TMI.2023.3326188     

Wang Z., Zhang Y., Pang Y.*, Wang N., Bah M. J., Li K., Zhang J. Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory with Stochastic Generative Imputation.  in IEEE Transactions on Neural Networks and Learning Systems, 35(12), 17504-7518, 2024

https://doi.org/10.1109/TNNLS.2023.3305542    

Huang T., Hong Y., Pang Y.*, Liang J., Hong J., Huang L., Zhang Y., Jia Y., Savi P. AdaptFormer: An adaptive hierarchical semantic approach for change detection on remote sensing images.  in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-12, 2024

https://doi.org/10.1109/TIM.2024.3387494   

Huang T., Huang J., Pang Y.*, Hong Y. Smart contract watermarking based on code obfuscation. in Information Sciences, vol. 628, pp. 439-448, 2023

https://doi.org/10.1016/j.ins.2023.01.126  

Pang Y., Shan A., Wang Z., Wang M., Li J., Zhang J., Huang T., Liu, C. Sparse‐Dyn: Sparse dynamic graph multi-representation learning via event‐based sparse temporal attention network. in International Journal of Intelligent Systems, vol 37, no. 11, pp. 8770-8789, 2022

https://doi.org/10.1002/int.22967    

Pang Y., Huang T., Wang Z., Li J., Hosseini P., Zhang J., Liu C., Ai S. Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification. in International Journal of Intelligent Systems, vol. 37, no. 11, pp 8747-8769, 2022

https://doi.org/10.1002/int.22966    

Harid V., Liu C., Pang Y., Alvina A. J., Golkowski M., Hosseini P., Cohen M. Automated large‐scale extraction of whistlers using mask‐scoring regional convolutional neural network. in Geophysical Research Letters,

vol. 48, no. 15, e2021GL093819, 2021

https://doi.org/10.1029/2021GL093819      

Pang Y., Shi Y., Gao S., Jiang F., Sivakumar A. N., Thompson L., Luck J., Liu, C. Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery. in Computers and Electronics in Agriculture, vol. 178, pp. 105766, 2020

https://doi.org/10.1016/j.compag.2020.105766      

    

Pang Y., Christenson J., Jiang F., Lei T., Rhoades R., Kern D., Thompson J. A., & Liu, C. Automatic detection and quantification of hand movements toward development of an objective assessment of tremor and bradykinesia in Parkinson's disease. in Journal of Neuroscience Methods, vol. 333, pp. 108576, 2020

https://doi.org/10.1016/j.jneumeth.2019.108576

Artificial Intelligence, Computer Vision, Smart Healthcare, Large-scale Models, Blockchain, Embodied Intelligent Surgical Robots, AI Chips, On-Device Models, Parallel Computing