Haoliang Zhang
About Me
I’m a researcher in geometry processing, computer graphics/vision, and 3D machine learning. My work seeks new algorithms and representations to make computing with geometric data easy, efficient, and reliable. I received my PhD in Electrical and Computer Engineering from the University of Oklahoma, advised by Samuel Cheng. Before that, I completed my Master’s degree at California State University, Fresno, where I worked with Woonki Na on power electronics modeling and was also active in competitive programming.
News
- Nov. 2025 One paper is accepted to AAAI 2025.
- Sept. 2025 Our paper about LLM fine-tuning is accepted to NeurIPS 2025.
Research
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TVC
The Visual Computer (TVC), 2026 -
TVC
The Visual Computer (TVC), 2026 -
AAAI
The Association for the Advancement of Artificial Intelligence (AAAI Oral), 2025 -
NeurIPS
Neural Information Processing Systems (NeurIPS), 2025 -
ICANN
International Conference on Artificial Neural Networks (ICANN), 2025 -
IJCNN
International Joint Conference on Neural Networks (IJCNN), 2025 -
TVCG
IEEE Transactions on Visualization and Computer Graphics -
J. Energy Storage
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ITEC
IEEE Transportation Electrification Conference and Expo (ITEC),2018
Services
Conference Reviewers
The Association for the Advancement of Artificial Intelligence (AAAI) 2026 International Conference on Artificial Neural Networks (ICANN) 2025 Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2025
Journal Reviewers
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