Kang Zhou 周康
Researcher

Academic Building No. 1
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Sha Tin, N.T., Hong Kong

Email: kangzhou2017 [at] gmail [dot] com
GitHub / Google Scholar

Biography

I am previously a Postdoctoral Fellow at The Chinese University of Hong Kong, where I work with Prof. Pheng-Ann Heng and Prof. Qi Dou. I received my Ph.D. degree from the University of Chinese Academy of Science (UCAS), in the joint program at ShanghaiTech University in 2022, supervised by Prof. Shenghua Gao. Before that I received my B.Eng degree from Northwestern Polytechnical University in 2017.

News

  • [06/2024] One paper was accepted to MICCAI 2024. Congrats to Yuan Zhong!
  • [01/2024] One paper was accepted to IEEE JBHI. Congrats to Hongye!
  • [06/2023] One paper on scibble-supervised medical image segmentation was accepted to MICCAI 2023. Congrats to Meng Zhou and Zhe Xu!
  • [04/2023] I was supported by Research Talent Hub, funded by ITC, the Hong Kong government.
  • [01/2023] I have joined the TRS project (Institute of Medical Intelligence and XR, HK$50 million) led by Prof. Pheng-Ann Heng.
  • [09/2022] I have joined The Chinese University of Hong Kong as the postdoctoral fellow, working with Prof. Pheng-Ann Heng.
  • [08/2022] I was recognized as a Distinguished Reviewer of IEEE TMI.
  • [05/2022] I have passed the oral defense and became Dr. Zhou! Congrats to myself!
  • [02/2022] One paper on domain adaptation was accepted to IEEE TPAMI (IF=16.39). Congrats to Jing Li!
  • [01/2022] One paper on medical image quality assessment was accepted to IEEE TMI. Congrats to Junhao Hu!
  • [01/2022] I received the "Outstanding Student of ShanghaiTech University, 2021" award.
  • [09/2021] One paper on medical image anomaly detection was accepted to IEEE TMI (IF=10.04).
  • [07/2021] One paper on image anomaly detection was accepted to IEEE TNNLS (IF=10.45).
  • [02/2021] I was recognized as a Distinguished Reviewer of IEEE TMI.
  • [01/2021] One paper on domain adaptation was accepted to ISBI 2021. Congrats to Zhenjie Chai!
  • [11/2020] I received the "Outstanding Student of ShanghaiTech University, 2020" award.
  • [10/2020] One paper was accepted to Journal of Biomedical Optics. Congrats to Qiangjiang Hao!
  • [09/2020] One paper was accepted to IEEE JBHI.
  • [08/2020] I gave a talk on medical image analysis at IVPAI 2020.
  • [07/2020] One paper on anomaly detection was accepted to ECCV 2020.
  • [01/2020] Four papers were accepted to ISBI 2020.
  • [06/2019] One paper was accepted to MICCAI 2019 with oral (rate 2%). Congrats to Hengrong Lan!
  • [03/2019] One paper was accepted to IEEE TMI. Congrats to Zaiwang Gu!
  • [11/2018] I received the "Outstanding Student of ShanghaiTech University, 2018" award.
  • [04/2018] One paper was accepted to EMBC 2018.

Selected Publications (Full publications could be found in Google Scholar)

* indicates equal contribution:
Weakly Supervised Medical Image Segmentation via Superpixel-guided Scribble Walking and Class-wise Contrastive Regularization
Meng Zhou*, Zhe Xu*, Kang Zhou, Raymond Tong
MICCAI, 2023
Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation
Jing Li, Kang Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chest X-ray Diagnostic Quality Assessment: How Much Is Pixel-wise Supervision Needed?
Junhao Hu, Chenyang Zhang, Kang Zhou, Shenghua Gao
IEEE Transactions on Medical Imaging (TMI), 2022
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Kang Zhou*, Jing Li*, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao.
IEEE Transactions on Medical Imaging (TMI, IF=10.04), 2021.
Memorizing Structure-Texture Correspondence for Image Anomaly Detection
Kang Zhou*, Jing Li*, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=10.45), 2021
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou*, Yuting Xiao*, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao.
ECCV 2020 / [Code] / [Paper] / [Supp]
High Signal-to-noise Ratio Reconstruction of Low Bit-depth Optical Coherence Tomography using Deep Learning
Qiangjiang Hao*, Kang Zhou*, Jianlong Yang, Yan Hu, Zhengjie Chai, Yuhui Ma, Gangjun Liu, Yitian Zhao, Shenghua Gao, Jiang Liu.
Journal of Biomedical Optics (JBO, IF=3.17), 2020
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Retinal OCT Image Anomaly Detection
Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu.
IEEE ISBI 2020 / [Paper]
Perceptual-assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography
Zhenjie Chai*, Kang Zhou*, Jianlong Yang, Yuhui Ma, Zhi Chen, Shenghua Gao, Jiang Liu.
IEEE ISBI 2020 / [Paper]
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning
Huihong Zhang, Jianlong Yang, Kang Zhou, Fei Li, Yan Hu, Yitian Zhao, Ce Zheng, Xiulan Zhang, Jiang Liu.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2020
Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao.
MICCAI 2019 / [Code] / [Paper] / [Supp] / [Slides] / [Poster] / (Oral, ~2%)
Hybrid Neural Network for Photoacoustic Imaging Reconstruction
Hengrong Lan*, Kang Zhou*, Changchun Yang, Jiang Liu, Shenghua Gao, Fei Gao.
IEEE EMBC 2019 / [Code] / [Paper] / [Slides]
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu.
IEEE Transactions on Medical Imaging (TMI), 2019 / [Code] / "ESI Highly Cited Paper"
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu.
IEEE EMBC 2018 / [Slides] / [Poster]
Fundus Image Quality-Guided Diabetic Retinopathy Grading
Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu.
MICCAI 2018 Workshop / [Poster] / [Fundus Image Quality Dataset]

Professional Services

  • Journal Reviewer

    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

    IEEE Transactions on Medical Imaging (TMI)

    Medical Image Analysis

    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

    IEEE Journal of Biomedical and Health Informatics (JBHI)

    Knowledge-Based Systems

    ACM Transactions on Multimedia Computing Communications and Applications

    Artificial Intelligence In Medicine

    Scientific Reports

    Biomedical Signal Processing and Control

    International Journal of Imaging Systems and Technology


  • Conference Reviewer

    • MICCAI (2020, 2021, 2022, 2023)

    CVPR (2022)

    ICCV (2021, 2023)

    ECCV (2022)

    AAAI (2021)

    WACV (2021, 2022)

    MICCAI Workshop on Resource-Efficient Medical Image Analysis (2022)

    MICCAI Workshop on Ophthalmic Medical Image Analysis (2020, 2021, 2022)

    ICCV Workshop on Computer Vision for Automated Medical Diagnosis (2021)

Teaching Experiences

    SI200, Academic Paper Writing, Spring 2022 (Teaching Assistant)

    CS272, Computer Vision II, Spring 2020 (Teaching Assistant)

    CS172, Computer Vision I, Fall 2019 (Teaching Assistant)

    CS172, Computer Vision I, Fall 2018 (Teaching Assistant)

Invited Talks

Highlighted Project

  • "Collection of work on the anomaly detection in medical images" HERE

Awards and Honors

  • [2022] Outstanding Ph.D. Graduate of UCAS and Shanghai City.
  • [2022] Outstanding Teaching Assistant of SIST, ShanghaiTech University.
  • [2021] Outstanding Student of ShanghaiTech University.
  • [2021] Distinguished Reviewer of IEEE TMI.
  • [2020] Outstanding Student of ShanghaiTech University.
  • [2018] Outstanding Student of ShanghaiTech University.
  • [2017] Outstanding B.Eng. Graduate.
  • [2016] First-Class Scholarship for Outstanding Students.
  • [2015] National TIIC Undergraduate IOT Design Contest, the Second Prize.
  • [2015] International Contest of Innovation, the Third Prize.