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About Me
About Me
I am a Ph.D. Candidate in the Department of Computer Science and Engineering at The Ohio State University, co-advised by Professor Han-Wei Shen and Professor Wei-Lun (Harry) Chao. I received my B.S. in Computer Science from the University of Minnesota, Twin Cities.
My research centers on developing visual analytics techniques to interpret Federated Learning and Continual Learning processes, as well as designing visualization methods tailored for federated environments. In addition, I explore AI-driven solutions for scientific applications, particularly in medical imaging and remote sensing. Currently, my work focuses on advancing high-fidelity surrogate models for large-scale scientific simulations.
Featured Projects and Publications
Featured Projects and Publications
Federated Learning
Federated Learning
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
In NeurIPS 2024
On the Importance and Applicability of Pre-training for Federated Learning
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
In ICLR 2023
Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study
Ziwei Li, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
In NeurIPS Workshop on Federated Learning: Recent Advances and New Challenges, 2022
Continual Learning
Continual Learning
Visual Analytics on Network Forgetting for Task-Incremental Learning
Ziwei Li, Jiayi Xu, Wei-Lun Chao, Han-Wei Shen
In Computer Graphics Forum (Proc. EuroVis 2023)
3D
3D
High-Fidelity Scientific Simulation Surrogates via Adaptive Implicit Neural Representations
Ziwei Li, Yuhan Duan, Tianyu Xiong, Yi-Tang Chen, Wei-Lun Chao, Han-Wei Shen
Under submission.
3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
Jae Shin Yoon, Ziwei Li, Hyun Soo Park
In CVPR 2018
AI for Science
AI for Science
Super-resolution Deep Neural Networks for Water Classification from Free Multispectral Satellite Imagery
Ziwei Li, Wei Ji Leong, Michael Durand, Ian Howat, Kylie Wadkowski, Bidhyananda Yadav, Joachim Moortgat
In Journal of Hydrology 626, 130248
Deep Learning Models for River Classification at Sub-meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery
Joachim Moortgat, Ziwei Li, Michael Durand, Ian Howat, Bidhyananda Yadav, Chunli Dai
In Remote Sensing of Environment 282, 113279
Artificial Intelligence-assisted Automated Prediction of Advanced Neoplasia in IPMNs: A Functional Model
Ziwei Li, Erica Park, Wei-Lun Chao, Stacey Culp, Phil Hart, Wei Chen, Daniel Jones, Zarine Shah, Timothy Pawlik, Somashekar Krishna
In Gastrointestinal Endoscopy, Volume 99, Issue 6, June 2024, AB7
Artificial Intelligence Advances Digital Pathomics for Confocal Endomicroscopy Diagnosis of Pancreatic Cysts
Ahmed Abdelbaki, Ziwei Li, Tai-Yu Pan, Justin Lee, Arpita Chowdhury, et al.
In Techniques and Innovations in Gastrointestinal Endoscopy, Volume 27, Issue 3, 2025, 250924
Somashekar G Krishna, Ahmed Abdelbaki, Ziwei Li, Stacey Culp, et al.
In Pancreatology, Volume 25, Issue 5, August 2025, Pages 658–666
Assistive AI for Coping with Memory Loss
Libby Ferland, Ziwei Li, Shridhar Sukhani, Joan Zheng, Luyang Zhao, Maria Gini
In AAAI Workshop on Health Intelligence, 2018
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