Zixun Zhang
PhD candidate
Liaoning, China
zhangchlr1995 [at] gmail [dot] com
Last update: 2026.01.16
My name is Zixun Zhang. I am now a final year PhD candidate advised by Dr. Zhen Li with DeepBitLab, FNii at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).
I got my Academic master's degree and Bachelor's degree at Dalian University of Technology (DLUT) advised by Prof. Na Lei and Prof. Lin Lin. During my master's study, I was a visiting student and research assistant at Shenzhen Research Institute of Big Data (SRIBD), CUHK-Shenzhen mentored by Dr. Zhen Li.
My research interest falls in Efficient Deep Learning, and its application on various CV domains especially on medical image analysis. Specifically,
- Optimization Efficiency: aim to train a model better to achieve higher quality metrics (accuracy, F1 score, etc.) and also aim to accelerate the training efficiency.
- Label/Data Efficiency: minimize the dependence on data labeling or data amount and enhance the learning efficiency and quality.
- Others: model compression or neural architecture search for compact architecture.
Latest News
- New! 2025.11 - One paper is accepted by npj Digital Medicine.
- New! 2025.08 - One paper is accepted by EMNLP 2025.
- 2025.06 - One paper is accepted by Computers in Biology and Medicine.
- 2024.08 - One paper is accepted by BIBM 2024.
- 2024.05 - One paper is early accepted by MICCAI 2024.
- 2023.11 - One paper is accepted by Journal of Biomedical and Health Informatics.
- 2023.11 - I'm visiting A*STAR as visiting PhD with Dr. Tao Luo and Dr. Liangli Zhen.
- 2023.10 - One paper is accepted by BIBM 2023.
- 2023.06 - One paper is accepted by Computerized Medical Imaging and Graphics.
- 2023.05 - One paper is early accepted by MICCAI 2023.
- 2023.02 - One paper is accepted by TNNLS.
Experience & Education
| PhD candidate at Computer and Information Engineering, CUHK-Shenzhen | Sept 2021 - Present |
| Visiting student and Research assistant, SRIBD, CUHK-Shenzhen | Jun 2019 - Aug 2020 |
| M.S. student at Software Engineering, DLUT | Sept 2017 - Jun 2020 |
| B.Eng. student at Software Engineering (Intensive Japanese), DLUT | Sept 2013 - Jun 2017 |
Publications
(* authors contribute equally to the work)-
MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm
ECAI 2020 [PDF] [2020.01]
Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li, Shuguang Cui -
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation
ACCV 2022 [PDF] [2022.09]
Yuncheng Jiang*, Zixun Zhang*, Shixi Qin, Yao Guo, Zhen Li, Shuguang Cui -
Hierarchical Weight Averaging for Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems [PDF] [2023.02]
Xiaozhe Gu*, Zixun Zhang*, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li -
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
MICCAI 2023 (Early Accept) [PDF] [2023.05]
Yuncheng Jiang*, Zixun Zhang*, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li -
NG-NAS: Node growth neural architecture search for 3D medical image segmentation
Computerized Medical Imaging and Graphics [2023.06]
Shixi Qin, Zixun Zhang, Yuncheng Jiang, Shuguang Cui, Shenghui Cheng, Zhen Li -
ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment
BIBM 2023 [PDF] [2023.10]
Zixun Zhang*, Yuncheng Jiang*, Jun Wei, Hanna Cui, Zhen Li -
ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
Journal of Biomedical and Health Informatics [PDF] [2023.11]
Yuncheng Jiang*, Zixun Zhang*, Yiwen Hu*, Guanbin Li, Xiang Wan, Song Wu, Shuguang Cui, Silin Huang, Zhen Li -
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
MICCAI 2024 (Early Accept) [PDF] [2024.05]
Yuncheng Jiang*, Yiwen Hu*, Zixun Zhang*, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li -
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection
BIBM 2024 [PDF] [2024.05]
Yuncheng Jiang*, Zixun Zhang*, Jun Wei*, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li -
Boost Protein Language Model with Injected Structure Information through Parameter Efficient Fine-tuning
Computers in Biology and Medicine [2025.06]
Zixun Zhang, Yuzhe Zhou, Jiayou Zheng, Chunmei Feng, Shuguang Cui, Sheng Wang, Zhen Li -
DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models
EMNLP 2025 (Main Conference) [2025.08]
Lei Jiang, Zixun Zhang, Yuting Zeng, Chunzhao Xie, Tongxuan Liu, Zhen Li, Lechao Cheng, Xiaohua Xu -
From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-supervised Learning
npj Digital Medicine [2025.11]
Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Zhen Li
Services
- Teaching Assistant: MFE5110 Stochastic models (2022 Fall), MFE5150 Financial Data Analysis (2023 Spring).
- Journal Reviewer: TNNLS.
- Conference Reviewer: KDD 2024, ICONIP 2023, ACM MM 2023, ACCV 2022, ISGIE 2022, SIGIR 2022, ECIR 2021.