I am currently a Ph.D. student in AI Thrust, HKUST(GZ), supervised by Prof. Yingcong Chen and Prof. Zeyu Wang. I did my master(2020-2022) at the Sun Yat-sen University, where I was advised by Prof. Ruixuan Wang and Prof. Wei-Shi Zheng. I did my bachelor(2016-2020) at the Jinan University, majoring in computer science.
My primary research interests includes 3D reconstruction/generation, bio-inspired vision, machine learning and medical image analysis. If you are also interested in these fields, please feel free to email me for further discussion on my works.
Recently, I am investgating on 3D/4D scene reconstruction and generation.
🔥 News
- 2025.01: 🎉🎉 One paper is accepted by ICRA2025.
- 2024.09: 🎉🎉 One paper is accepted by NeurIPS2024.
- 2024.03: 🎉🎉 One paper is accepted by CVPR2024(Oral).
- 2023.09: I join AI Thrust, Info Hub in HKUST(GZ) as a Ph.D. student.
📝 Publications
👁️ Bio-inspired Vision
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction \
Kanghao Chen, Hangyu Li, JiaZhou Zhou, Zeyu Wang, Lin Wang
ICRA 2025Elite-evgs: Learning event-based 3d gaussian splatting by distilling event-to-video priors, Zixin Zhang, Kanghao Chen, Lin Wang.CVPR 2024(Oral) Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach, Guoqiang Liang, Kanghao Chen, Hangyu Li, Yunfan Lu, Lin Wang. | Project | CodearXivEvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More, Kanghao Chen, Guoqiang Liang, Hangyu Li, Yunfan Lu, Lin Wang.arXivExFMan: Rendering 3D Dynamic Humans with Hybrid Monocular Blurry Frames and Events, Kanghao Chen, Zeyu Wang, Lin Wang.
🤖 Machine Learning
Alleviating data imbalance issue with perturbed input during inference \
Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng
PCCT: Progressive class-center triplet loss for imbalanced medical image classification \
Kanghao Chen, Weixian Lei, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang
ICME 2022(Oral) Improving Class Balancing at Both Feature Extractor and Classifier Head, Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng.
BIBM 2023Expert with outlier exposure for continual learning of new diseases, Zhengjing Xu, Kanghao Chen, Wei-Shi Zheng, Zhijun Tan, Xiaobo Yang, Ruixuan Wang.
🩻 Medical Image Analysis
JOR spine 2023Automatic Lenke classification of adolescent idiopathic scoliosis with deep learning, Baolin Zhang, Kanghao Chen, Haodong Yuan, Zhiheng Liao, Taifeng Zhou, Weiming Guo, Shen Zhao, Ruixuan Wang, Peiqiang Su
🎖 Honors and Awards
- 2019-2020 National Scholarship
- 2016-2017 First Prize School Scholarship
📖 Educations
- 2023.09 - now, Ph.D., AI, Hong Kong University of Science and Technology (Guangzhou).
- 2020.09 - 2022.06, Master of Engineering, Computer Technology, Sun Yat-sen University.
- 2016.09 - 2020.06, Bachelor of Engineering, Computer Science and Technology, Jinan University, Guangzhou