Zhuo Zhang (张琢)
National University of Defense Technology |
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Biography
Hi! I’m Zhuo Zhang. I am currently a Ph.D. student at the College of Computer, the National University of Defense Technology, supervised by Prof. Canqun Yang (Deputy Chief Designer of the Tianhe-2 project). I earned my M.S. degree in Information and Communication Engineering from Tiangong University in December 2023, under the supervision of Prof. Yong Yang (Top 2% Scientist Worldwide) and Prof. Hua Bai.
My research interest includes AI4S and medical image processing.
Research Experience
I am also a joint doctoral student and R&D engineer at the National Supercomputing Center of Tianjin. Our team was honored with the title of National Outstanding Engineering Team on January 19, 2024.
News
- 🎉December 2025: Honored to be selected for the CAST Youth Science and Technology Talent Cultivation Program for Doctoral Students!
- 🎉September 2025: An article about the Kolmogorov-Arnold Network was accepted by the journal Expert Systems With Applications (ESWA).
- 🎉July 2025: I secured my first research project: "Research on Multi-parameter High-dimensional Flow Field Solution with Physics and Data Collaboration." I'm very excited about this!
- 🎉June 2025: Thrilled to have officially begun my international visiting research journey!
- 🎉May 2025: Three of our papers were accepted by the ICIC conference! A big congratulations to Zhang Fan and Wang Shuaidan for their excellent work as first authors on two of those papers.
- 🎉March 2025: Another medical image processing article, where I was a co-author, was accepted by ICME.
- 🎉January 2025: As a co-author, a medical image segmentation article was accepted by ICASSP.
- 🎉December 2024: My first journal paper in the AI for Science (AI4S) field was accepted by Physics of Fluids (PoF)!
- 🎉December 2023: I started an internship at the National Supercomputing Center in Tianjin.
Research Projects
- Zhang Z, Zhang S, Zhao Y, Wang W, Wu H, & Yang X. "DFS-PINN: A Dynamic Feature Separation Physics-Informed Neural Network." Computer-Aided Design, 2025; 191: 103992.
- Wen Y#, Zhang Z#, Ma X, Zhu P, Li J, Niu G, & Miao Q. "Rule-Semantic Generative Calibration Blur Detection for UAV Imagery." IEEE Transactions on Circuits and Systems for Video Technology, 2025.
- Zhang Z, Xiong X, Zhang S, Wang W, Zhong Y, Yang C, & Yang X. "Legend-KINN: A Legendre Polynomial-Based Kolmogorov-Arnold-Informed Neural Network for Efficient PDE Solving." Expert Systems with Applications, 2025; 129839.
- Wang S, Zou S, He Y, Gao Q, Zhang Z*, & Bai H. "A Framework for IDH Genotyping of Gliomas Based on Bi-directional Mamba Sequences." International Conference on Intelligent Computing (ICIC), 2025.
- Zhang Z, Ma Q, Zhao Y, & Yang X. "Integrating Radiomics and Deep Learning for Enhanced Three-Dimensional Meningioma Grading." International Conference on Intelligent Computing (ICIC), 2025.
- Zhang F, Guo J, Ma Q, Zhang X, & Zhang Z*. "RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation." International Conference on Intelligent Computing (ICIC), 2025.
- Zhang Z, Xiong X, Zhang S, et al. "A pseudo-time stepping and parameterized physics-informed neural network framework for Navier–Stokes equations." Physics of Fluids, 2025; 37 (3): 033612.
- Zou S, Zhang Z#, & Guangwei Gao. "OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation" 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
- Zou S, Zhang Z#, Zou Y, & Guangwei Gao. "MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models" IEEE International Conference on Multimedia&Expo 2025 (ICME), 2025
- Z Zhang, Miao Y, Yang Y, et al. "Deep Learning and Radiomics-Based Approach to Meningioma Grading: Exploring Peritumoral Edema Regions." Physics in Medicine & Biology, 2024.
- Zhang Z, Zhang X, Yang Y, et al. "Accurate segmentation algorithm of acoustic neuroma in the cerebellopontine angle based on ACP-TransUNet." Frontiers in Neuroscience, 2023, 17.
- Zhang Z, Wu H, Zhao H, et al. "A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer." Interdisciplinary Sciences: Computational Life Sciences, 2023, 15(4): 663-677.
- Zhang Z, Wen Y, Zhang X, et al. "CI-UNet: Melding ConvNeXt and Cross-Dimensional Attention for Robust Medical Image Segmentation." Biomedical Engineering Letters, 2024.
- Jiang Y, Wang S, Yao M, Xiao Q, Li Y, Bai H*, & Zhang, Z*. "BCNet: integrating UNet and transformer for blood cell segmentation." Signal, Image and Video Processing, 2025;19(1), 14
- Wen Y#, Zhang Z#, et al. "TransC-GD-CD: Transformer based Conditional Generative Diffusion Change Detection Model." Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
- Wu H#, Zhang Z#, Zhang Y, et al. "ACX-UNet: Multi-scale Lung Parenchyma Segmentation Study with Improved Skip Connection and Cross-Feature Extraction." Signal, Image and Video Processing, 2023.
- Bai H, Zhang Z, Yang Y, et al. "Meningioma Segmentation with GV-UNet: A Hybrid Model Using Ghost Module and Vision Transformer." Signal, Image and Video Processing, 2023.
- Xia X, Cheng Y, Zhang Z, et al. "Advancing Research on Odor-Induced Sweetness Enhancement: An EEG Local-Global Fusion Transformer Network for Sweetness Quantification Combined with EEG Technology." Food Chemistry, 2024: 141533.
Software Copyrights and Patents
- CAST Youth Science and Technology Talent Cultivation Program for Doctoral Students
- China National Scholarship (2024/2025)
- Tianjin Innovation Scholarship (2024)
- First-Class Academic Scholarship (2024)
- First Prize, National Industry Integration New Engineering Innovation Competition (Ranked 1st Nationally)
- First Prize, "Challenge Cup" China College Student Entrepreneurship Competition in Tianjin
- Second Prize, 14th China Service Outsourcing Innovation and Entrepreneurship Competition
- Second Prize, "3S Cup" National IoT Technology and Application Competition