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 final-year Ph.D candidate 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 multi-modal foundation model, generative AI, computer vision and their applications on medical AI, with a focus on multi-modal learning/pre-training, semi-/self-supervised learning, object segmentation, federated learning, etc.

Welcome to contact me about research collaboration, please don't hesitate to drop me emails if you are interested. Also welcome to contact me about any interesting topics and questions on AI techniques/engineering, products and investment!

News

[08/2024] 2 papers accepted by BIBM 2024 (CCF-B).
[06/2024] 2 papers accepted by MICCAI 2024 (CCF-B).
[07/2023] 1 paper accepted by ICCV 2023 (CCF-A).
[07/2023] Join Alibaba, DAMO to start research internship.
[05/2023] 1 paper accepted by MICCAI 2023 (early accepted, 14%). (CCF-B).
[02/2023] 1 paper accepted by IEEE TMI 2023 (CCF-B, IF. 10.6).
[06/2022] 1 paper accepted by MICCAI 2022 (CCF-B).
[05/2022] 1 paper accepted by IEEE TMI 2022 (CCF-B, IF. 10.6).
[03/2022] 1 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]

Work Experience

• ScholaGO Education Technology Company Limited, Hong Kong, Jun. 2024 - Present.
  Co-Founder of the startup company
  I am fortunate to work with other founder and co-founders to develop our product.
  

• Alibaba, DAMO, Beijing, Jul. 2023 - Dec. 2023.
  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

Outstanding Academic Performance Award of City University of Hong Kong, 2023

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.

EE3206: Java Programming and Applications, 2024 Spring, CityU.

Services

Conference Reviewer: ICCV'23, CVPR'23,22, ECCV'24,22, MICCAI'24,23,22.

Journal Reviewer: TMI, TNNLS, TCSVT