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.
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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.
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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.
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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
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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,
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Expert with Outlier Exposure for Continual Learning of New Diseases
Kanghao Chen,
Zhengjin Xu,
Ruixuan Wang,
and Wei-Shi Zheng
Submission to BIBM, 2022
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Synthetic Minority with CutMix for Imbalanced Image Classification
Chenghua Zeng,
Huijuan Lu,
Kanghao Chen,
Ruixuan Wang,
and Wei-Shi Zheng
IntelliSys, 2022
paper,
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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
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Improving Class Balancing at both feature extractor and classifier head
Kanghao Chen,
Huijuan Lu,
Ruixuan Wang,
and Wei-Shi Zheng
ICME, 2022
Paper,
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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
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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
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