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Dr. Zheng is currently an Assistant Professor at the School of Computing and Informatics of Â鶹ҹÊÐ. Previously, he was a postdoctoral researcher at the Center for Biomedical Image Computing and Analytics (CBICA) of University of Pennsylvania. He obtained his Ph.D. from University of Notre Dame, and his B.Sc. from University of Science and Technology of China.

Dr. Zheng's primary research lies in artificial intelligence for biomedical data analysis and scientific visualization, including both methodology development and real-world biomedical applications. Specifically, his current research interests are: (1) Computer Vision (e.g., registration, segmentation, classification, detection, synthesis, imaging); (2) Machine Learning for Multi-Modal Data Analysis (e.g., image, text, omics); (3) Trustworthy and Robust AI for Healthcare (e.g., explainability, generalizability); (4) Data-Efficient Machine Learning (e.g., efficient annotation, semi-supervised learning, transfer learning, foundation models).

Ph.D. in Computer Science and Engineering, 2021
University of Notre Dame

B.Sc. in Electronic Engineering and Information Science, 2016
University of Science and Technology of China
 

• Computer Vision
• Machie Learning
• Medical AI
• Visualization

• Hao Zheng, Xiaoyang Chen, Hongming Li, Tingting Chen, Peixian Liang, Yong Fan. SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations. IEEE International Symposium on Biomedical Imaging (ISBI) , Houston, USA, 2025.
• Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Yong Fan. Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024.
• Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan. Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, USA, 2024.
• Jun Han, Hao Zheng, and Chongke Bi. KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation. IEEE Transactions on Visualization and Computer Graphics (TVCG).
• Hao Zheng, Hongming Li, and Yong Fan. Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.

• IEEE TMI Distinguished Reviewer, 2022&2023
• MICCAI Student Travel Awards, 2021
• Outstanding Research Assistant Award, CSE, University of Notre Dame, 2021
• Outstanding Reviewer, CVPR, 2021
• AAA BioArt Winner, FASEB, USA, 2020
• 1st Place in Poster Contest of CSE Dept. (Faculty Choice), 2020
• AAAI Scholarship, New York, USA, 2020
• Graduate School Professional Development Awards, University of Notre Dame, 2020
• AAAI Scholarship, Honolulu, USA, 2019
• Outstanding Graduate of Anhui Province, China, 2016
• National Endeavor Scholarship, Ministry of Education, China, 2015
• Huawei Scholarship, Huawei Technology Co., Ltd, China, 2015
• Gold Award, Outstanding Student Scholarship, USTC, 2013 & 2014