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Dr. Zheng is currently an Assistant Professor at the School of Computing and Informatics of ÑÇÖÞ×ÔοÊÓƵ of ÑÇÖÞ×ÔοÊÓƵ at Lafayette. Previously, he was a postdoctoral researcher at the Center for Biomedical Image Computing and Analytics (CBICA) of ÑÇÖÞ×ÔοÊÓƵ of Pennsylvania. He obtained his Ph.D. from ÑÇÖÞ×ÔοÊÓƵ of Notre Dame, and his B.Sc. from ÑÇÖÞ×ÔοÊÓƵ 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
ÑÇÖÞ×ÔοÊÓƵ of Notre Dame

B.Sc. in Electronic Engineering and Information Science, 2016
ÑÇÖÞ×ÔοÊÓƵ 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 ÑÇÖÞ×ÔοÊÓƵ Travel Awards, 2021
• Outstanding Research Assistant Award, CSE, ÑÇÖÞ×ÔοÊÓƵ 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, ÑÇÖÞ×ÔοÊÓƵ 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 ÑÇÖÞ×ÔοÊÓƵ Scholarship, USTC, 2013 & 2014