Qixiang (Elliot), Zhang

Qixiang (Elliot), Zhang

PhD Student @ HKUST

Qixiang (Elliot), Zhang

I am a year-1 PhD Student at The Hong Kong University of Science and Technology under the supervision of Prof. Xiaomeng Li. Previously, I was fortunate to work with Prof. Yan Wang at Sichuan University as an undergraduate research intern.

Research Interests: Medical Image Analysis, Deep Learning, Computer Vision

🔥News

  • [06/2024] One paper accepted by MICCAI 2024!
  • [02/2024] One paper accepted by CVPR 2024!
  • [08/2023] Join Prof. Xiaomeng Li’s lab at HKUST to pursue my Ph.D. degree.
  • [07/2023] Glad to be an awardee of the HKUST RedBird PhD Recruitment Award. Thank you, HKUST!
  • [06/2023] One paper accepted by MICCAI 2023!
  • [11/2022] Accepting official offer letter from HKUST, preparing for PhD career in HKUST!
  • [10/2022] Finished HK PolyU Research Summer Workshop and won the scholarship!
  • [09/2022] Join HK PolyU Research Summer Workshop, moving to Hong Kong
  • [06/2022] Glad to be an awardee of ZiLi-Zhi Dong First-class Scolarship. Thank you, Mr. Liu and Mr Zhu!
  • [12/2021] Successfully finished CSITP on "RoboDentist" and got rated as Excellent
  • [12/2021] Successfully finished CSITP on Knowledge Graph and got rated as Good
  • [10/2021] Glad to receive the prize from NUS Summer Workshop (overall performance A Plus). Thank you, NUS! Moving back to Sichuan!
  • [10/2021] Won the First Prize of NUS SoC Summer Workshop! Nice working with you, B. H and S. F!
  • [06/2021] Moved to Singapore and joined NUS SoC Summer Workshop!
  • [06/2021] Our Brain Disease Knowledge Graph got rated as provincial level College Student Innovative Training Project
  • [06/2021] Our startup "RoboDentist" got rated as national level College Student Innovative Training Project
  • [04/2020] Pass the qualification interview of NUS SoC Summer Workshop and Scholarship. Thank you, SCU!
  • [12/2020] Successfully finished CSITP and got rated as Excellent
  • [12/2020] One paper on vulnerability mining accepted by TrustCom 2021!
  • [06/2020] Our startup "DeepVuler" was rated as national level College Student Innovative Training Project
  • [09/2019] Changing major to Software Engineering!
  • [02/2019] Glad to be the awardee of outstanding student of Sichuan and Comprehensive First-class scholarship

📖Publications

* denotes equal contribution

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Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Qixiang Zhang, Yi Li and Xiaomeng Li
Medical Image Computing & Computer Assisted Intervention (MICCAI), 2023

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Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier
Yi Li, Qixiang Zhang, Tianqi Xiang, Yiqun Lin, Qingling Zhang and Xiaomeng Li
Medical Image Computing & Computer Assisted Intervention (MICCAI), 2024

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AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
Haonan Wang*, Qixiang Zhang*, Yi Li and Xiaomeng Li
IEEE/CVF Conf. on Computer Vision & Pattern Recognition (CVPR), 2024

/*under review*/

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S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
Qixiang Zhang*, Haonan Wang*, Yi Li and Xiaomeng Li
Submitted to IEEE Transactions on Medical Imaging (TMI), 2024

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GlandSAM: Injecting Morphology Knowledge into Segment Anything Model for Label-free Gland Segmentation
Qixiang Zhang, Yi Li and Xiaomeng Li
Submitted to IEEE Transactions on Medical Imaging (TMI)

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Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification
Qixiang Zhang, Zhengyang Jiao and Yan Wang
Submitted to IEEE Transactions on Medical Imaging (TMI)

🏫Education

  • [08/2023 - Present] PhD Student @ Dept. Electronic and Computer Engineering, HKUST
  • [09/2019 - 06/2023] BEng. of Software Engineering @ Dept. Software, Sichuan University

🧑‍🏫Teaching

  • [02/2024 - Present] Teaching Assistant @ Introduction to Computer Organization and Design (ELEC2350), HKUST

👨‍🔬Professional Activities

/*Conference Reviews*/

  • Medical Image Computing and Computer Assisted Intervention (MICCAI)

/*Journal Reviews*/

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

Misc.

I always admire the saying "Work Hard (Smart) & Play Hard". Outside my research, I love and enjoy all kinds of water sports, e.g., swimming, surfing, and diving, mostly because I once was a professional swimming athlete. I also spent a lot of vacations traveling or volunteering (e.g., Swimming Coach, Beach Lifeguard in Hong Kong, Singapore, Hainan, and Eastern Australia) in other nations, including Germany, Singapore, the USA, and the Netherlands. I plan to engage in photography, which I will use to record my traveling and pieces of my life. Soon, I will keep releasing vlogs on this home page. Overall, I always enjoy trying exciting stuff and meeting interesting souls in my life, after all, "The world is the best gift that God gives us, and Volo Pro Veritas!".