Zhenghao Zhao

Bio

I am currently a Ph.D. student in Computer Science at the University of Illinois Chicago (UIC) guided by Prof. Yan Yan.

My research is centered on Efficient AI, with a specific focus on Dataset Distillation and Dataset Generation. In the summer of 2023, I interned at Argonne National Laboratory (ANL), where I explored the efficiency of distributed training frameworks.

Before Ph.D., I received my M.S. in Computer Science from the Illinois Institute of Technology (IIT) and a B.S. in Computer Science and Engineering from Nanjing University of Post and Telecommunications (NJUPT).

I am actively exploring 2026 Summer Internship opportunities. Feel free to review my resume here.

News

2025-02

One first-author paper about dataset distillation accepted to CVPR 2025!

2024-10

One paper about human action recognition accepted to MMM 2025!

2024-07

One first-author paper about dataset condensation accepted to ECCV 2024!

2024-06

One first-author paper about audio-visual navigation accepted to ICPR 2024!

2024-04

One first-author paper about pose estimation accepted to ICMR 2024 oral!

2024-02

One first-author paper about medical image segmentation accepted to ISBI 2024!

2023-12

One first-author paper about scene graph generation accepted to ICASSP 2024!

2023-12

One first-author paper about ML enalbled periodontal pathogens detection accepted to the journal International Journal of Biological Macromolecules!

Selected publications

Distilling Long-tailed Datasets

Zhenghao Zhao*, Haoxuan Wang*, Yuzhang Shang, Kai Wang, Yan Yan

Computer Vision and Pattern Recognition (CVPR), 2025

Paper Code

Dataset Quantization with Active Learning based Adaptive Sampling

Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan

European Conference on Computer Vision (ECCV), 2024

Paper

Monocular Expressive 3D Human Reconstruction of Multiple People

Zhenghao Zhao, Hao Tang, Joy Wan, Yan Yan

International Conference on Multimedia Retrieval (ICMR), 2024

Paper

Audio-Visual Navigation with Anti-Backtracking

Zhenghao Zhao, Hao Tang, Yan Yan

International Conference on Pattern Recognition (ICPR), 2024

Paper

Supplementing Missing Visions via Dialog for Scene Graph Generations

Zhenghao Zhao*, Ye Zhu*, Xiaoguang Zhu, Yuzhang Shang, Yan Yan

International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024

Paper

Gated Multi-Scale Attention Transformer For Few-Shot Medical Image Segmentation

Zhenghao Zhao*, Hao Ding*, Dawen Cai, Yan Yan

IEEE International Symposium on Biomedical Imaging (ISBI), 2024

Paper

Machine learning enabled multiplex detection of periodontal pathogens by surface-enhanced Raman spectroscopy

Rathnayake AC Rathnayake*, Zhenghao Zhao*, Nathan McLaughlin, Wei Li, Yan Yan, Liaohai L Chen, Qian Xie, Christine D Wu, Mathew T Mathew, Rong R Wang

International Journal of Biological Macromolecules, 2024

Paper

Bio

News

Selected publications

Distilling Long-tailed Datasets

Dataset Quantization with Active Learning based Adaptive Sampling

Monocular Expressive 3D Human Reconstruction of Multiple People

Audio-Visual Navigation with Anti-Backtracking

Supplementing Missing Visions via Dialog for Scene Graph Generations

Gated Multi-Scale Attention Transformer For Few-Shot Medical Image Segmentation

Machine learning enabled multiplex detection of periodontal pathogens by surface-enhanced Raman spectroscopy

Contact