Qiushi Yang 杨秋实 Ph.D. Candidate Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong. [Pinned Message] I will graduate in 2024 and am looking for research position in the industry! Email | Google Scholar | Github | LinkedIn

About Me

I am a third-year Ph.D student in the Department of Electrical Engineering, City University of Hong Kong, supervised by Prof. Yixuan YUAN. Before that, I received the B. Eng degree from School of Computer Science and Engineering in Northeastern University of China in 2019.

My research interests lie in computer vision and data/label efficient deep learning, with a focus on medical image analysis, large multi-modal model/pre-training, semi-/self-supervised learning, object segmentation and federated learning.

If you would like to chat with me about any interesting topics or questions on computer vision related, please don't hesitate to contact with me via email!

News

[07/2023] One paper accepted by ICCV 2023. (CCF-A).
[07/2023] Join Alibaba, DAMO to start research internship.
[05/2023] One paper accepted by MICCAI 2023 (early accepted, 14%). (CCF-B).
[02/2023] One paper accepted by IEEE TMI 2023. (CCF-B, IF. 10.6).
[06/2022] One paper accepted by MICCAI 2022 (CCF-B).
[05/2022] One paper accepted by IEEE TMI 2022. (CCF-B, IF. 10.6).
[03/2022] One paper accepted by CVPR 2022 (CCF-A).
[07/2021] Pass the Ph.D. Qualify Examination.
[07/2020] Finish the exciting internship in Meituan-Dianping.
[06/2019] I graduate from the School of CSE in NEU and receive B.Sc. degree.

Selected Publications

Journal:

• Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification
  Qiushi Yang, Zhen Chen, Yixuan Yuan.
  IEEE Transactions on Medical Imaging (IEEE TMI), 2023. (CCF-B, Impact Factor: 10.6)
  [Paper] [Code] [BibTeX]
  

• D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities
  Qiushi Yang, Xiaoqing Guo, Zhen Chen, Peter Y. M. Woo, Yixuan Yuan.
  IEEE Transactions on Medical Imaging (IEEE TMI), 2022. (CCF-B, Impact Factor: 10.6)
  [Paper] [Code] [BibTeX]
  

Conference:

• MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics
  Qiushi Yang, Wuyang Li, Baopu Li, Yixuan Yuan.
  IEEE International Conference on Computer Vision (ICCV), 2023. (CCF-A)
  [Paper] [Code]
  

• Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization
  Qiushi Yang, Xinyu Liu, Zhen Chen, Yixuan Yuan.
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (CCF-B)
  [Paper] [Code] [BibTeX]
  

• Towards Robust Adaptive Object Detection under Noisy Annotations
  Xinyu Liu, Wuyang Li, Qiushi Yang, Baopu Li, Yixuan Yuan.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A)
  [Paper] [Code] [BibTeX]
  

• Learning Dynamic Convolutions for Multi-modal 3D MRI Brain Tumor Segmentation
  Qiushi Yang, Yixuan Yuan.
  International Conference on Medical Image Computing and Computer Assisted Intervention Brainlesion Workshop (MICCAI Workshop), 2020.
  [Paper] [BibTeX]
  

• Detection of Rail Surface Defects Based on CNN Image Recognition and Classification
  Lidan Shang, Qiushi Yang, Jianing Wang, Shubin Li, Weimin Lei.
  IEEE International Conference on Advanced Communications Technology (ICACT), 2018 (Oral).
  [Paper] [BibTeX]

Experience

• Alibaba, DAMO, Beijing, Jul. 2023 - Present
  Research Intern
  Advisor: Dr. Ke Yan and Prof. Le Lu
  

• Meituan-Dianping, Auto-Driving Group, Beijing, Feb. 2020 - Jul. 2020
  Research Intern
  Advisor: Prof. Mingyu Fan
  

• Westlake University, Hangzhou, Zhejiang, Aug. 2019 - Nov. 2019
  Research Assistant
  Advisor: Prof. Stan Z. Li
  

• Horizon Robotics, AIoT Group, Beijing, Jan. 2019 - Apr. 2019
  Research Intern
  Advisor: Mengjia Yan
  

Selected Awards

Northeastern University Outstanding Student Scholarship, 2016-2017

1st-Level Prize on National Mathematic Contest in Liaoning for Undergraduate Students, 2016

Teaching

EE3001: Foundations of Data Engineering, 2021, 2022 Fall, CityU.

EE5805: Java Network Programming, 2022, 2023 Summer, CityU.

Services

Conference Reviewer: ICCV'23, CVPR'23,22, ECCV'22, MICCAI'23,22.

Journal Reviewer: TMI, TNNLS