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Chaowei Fang

Biography

Chaowei FANG is a associate professor at School of Artificial Intelligence, Xidian University. He is also a member of the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education. He received Ph.d. degree (supervised by Prof. Yizhou Yu) from the Department of Computer Science, The University of Hong Kong in 2019, and received B.E. degree from Automation, Xi'an Jiaotong University in 2013. During 2013-2015, he was a postgraduate student at the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University (supervised by Prof. Jianru Xue). His research interest mainly includes visual information processing, representation, and understanding. Here is his resume.

Man's duty is to have the courage to seek the truth.
—— Copernicus

方超伟是西安电子科技大学人工智能学院副教授，智能感知与图像理解教育部重点实验室成员。他于2019年获得香港大学计算机系博士学位，导师为Yizhou Yu教授；于2013年获得西安交通大学自动化系学士学位；2013-2015期间，于西安交通大学人工智能与机器人研究所攻读研究生，导师为薛建儒教授。研究兴趣主要包括：视觉信息处理、表示与理解。

Recruitment/招聘

His group is recruiting master students. If interested, please send your resume and transcript to e-mail: chaoweifang AT outlook.com.

正在招聘硕士生,如有兴趣，请发送简历和成绩单至邮箱：chaoweifang[AT]outlook.com.

News

Nov 19, 2022: Welcome for submitting your manuscript to the special issue Human-centric Multimedia Analysis at Multimedia Tools and Applications.(Submission deadline has passed.) Link

Research Topics

Chest X-rays Image Classification Image Segmentation Label-efficient Machine Learning Low-level Image Processing Medical Image Analysis Neural Network Design Object Detection Representation Learning Semi-supervised Learning

Selected Publications (Here is the full list.)

* indicates equal contribution. † indicates corresponding author.

1. Chaowei Fang , Lechao Cheng , Yining Mao , Dingwen Zhang , Yixiang Fang , Guanbin Li , Huiyan Qi , Licheng Jiao . Separating Noisy Samples from Tail Classes for Long-Tailed Image Classification with Label Noise. TNNLS, 2023.
2. Chaowei Fang * , Qian Wang * , Lechao Cheng , Zhifan Gao , Chengwei Pan , Zhen Cao , Zhaohui Zheng , Dingwen Zhang . Reliable Mutual Distillation for Medical Image Segmentation under Imperfect Annotations. TMI, 2023.
3. Yuxiang Nie * , Chaowei Fang * , Lechao Cheng , Liang Lin , Guanbin Li . Adapting Object Size Variance and Class Imbalance for Semi-Supervised Object Detection. AAAI, 2022.
4. Lechao Cheng , Chaowei Fang † , Dingwen Zhang , Guanbin Li , Gang Huang . Compound Batch Normalization for Long-tailed Image Classification. ACM MM, 2022.
5. Chaowei Fang * , Liang Wang * , Dingwen Zhang , Jun Xu , Yixuan Yuan , Junwei Han . Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CVPR, 2022. PDF Code
6. Junkai Huang * , Chaowei Fang * , Weikai Chen , Zhenhua Chai , Xiaolin Wei , Pengxu Wei , Liang Lin , Guanbin Li . Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV, 2021. PDF Code
7. Feida Zhu , Chaowei Fang † , Kai-Kuang Ma . PNEN: Pyramid Non-Local Enhanced Networks. TIP, 2020. PDF Code
8. Chaowei Fang , Guanbin Li , Xiaoguang Han , Yizhou Yu . Self-Enhanced Convolutional Network for Facial Video Hallucination. TIP, 2019. PDF
9. Chaowei Fang , Guanbin Li , Chengwei Pan , Yiming Li , Yizhou Yu . Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. MICCAI, 2019. PDF
10. Chaowei Fang , Zicheng Liao , Yizhou Yu . Piecewise Flat Embedding for Image Segmentation. TPAMI, 2019. PDF Code

Resources

Contact

  • 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126