Kane Kang-Hao Chen

Kang-Hao Chen 陈康豪

M.Eng. in Computer Technology

School of Computer science and Technology.

Sun Yat-sen University.

Email: kanec9707 at gmail.com.

Short Bio

I did my master(2020-2022) at the Sun Yat-sen University, where I was advised by Ruixuan Wang and Wei-Shi Zheng. I have also spent several month at the Netease AI Lab working as a research intern (2021). I did my bachelor(2016-2020) at the Jinan University, majoring in computer science.

My research focuses on introducing artificial intelligence to computer vision. Specially, my research interests include but not limited to:

Multi-view/Multi-person 3D Motion Capture
Data Imbalance Classification
Continual Learning/Lifelong Learning
Medical Image Analysis/ Computer-Assisted Diagnosis

I will work on 3D Motion Capture in SenseTime as algorithm researcher.

News

[2022/5] Defended my Master Thesis: Imbalanced Medical Image Classification based on Input Perturbation and Metric Learning.

[2022/04] A paper got accepted to Intellisys 2022.

[2022/03] A paper got accepted to ICME 2022.

[2021/7] Research Intern in Netease AI Lab.

[2021/07] A paper got accepted to MICCAI 2021.

Publications

	Automatic Lenke classification and orthopedic prediction of Adolescent Idiopathic Scoliosis with deep neural networks baolin zhang, M.D, Kanghao Chen Haodong Yuan, Zhiheng Liao, Taifeng Zhou, Weiming Guo, Shen Zhao, Ruixuan Wang Submission to Journal of Orthopaedic Translation, 2021
	Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, and Wei-Shi Zheng Submission to BIBM, 2022 arXiv,
	Expert with Outlier Exposure for Continual Learning of New Diseases Kanghao Chen, Zhengjin Xu, Ruixuan Wang, and Wei-Shi Zheng Submission to BIBM, 2022
	Synthetic Minority with CutMix for Imbalanced Image Classification Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, and Wei-Shi Zheng IntelliSys, 2022 paper,
	Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning Kanghao Chen, Sijia Liu, Ruixuan Wang, and Wei-Shi Zheng Submission to ACM MM, 2022 Paper, Code
	Improving Class Balancing at both feature extractor and classifier head Kanghao Chen, Huijuan Lu, Ruixuan Wang, and Wei-Shi Zheng ICME, 2022 Paper,
	PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification Kanghao Chen, Weixian Lei, Rong Zhang, Ruixuan Wang and Wei-Shi Zheng Submission to JBHI, 2022 arXiv, Code
	Alleviating Data Imbalance Issue with Perturbed Input During Inference Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, and Wei-Shi Zheng MICCAI, 2021 Paper, Code