Hello!

My name is Charley Yejia Zhang (章业佳) and I am currently a final year Ph.D. student at the University of Notre Dame in the Computer Science and Engineering department. My research focuses on developing new deep-learning-based computer vision approaches to tackle limited annotations (e.g., 2D & 3D image segmentation, self-supervised learning, multi-object detection & tracking) where we have extensively collaborated with 6 institutions across 3 countries. My doctoral advisor is Dr. Danny Z. Chen.

Previously, I received a B.S. in Computer Engineering from the University of California, San Diego (UCSD), specializing in machine learning. I have over 8 years of coding experience from research, creating in-house machine learning libraries, personal projects, and industry positions involving production systems.

Currently searching for full-time 😊

News

• 2024/07: 💼 Started computer vision/graphics internship at NVIDIA AI
• 2024/06: 📚 1 paper accepted to MICCAI’24
• 2023/08: 💼 Started AI research scientist co-op at Alibaba DAMO
• 2023/07: 📚 2 papers accepted to MICCAI’23 workshops (2 orals)
• 2023/05: 📚 1 paper accepted to MICCAI’23
• 2023/01: 📚 3 papers accepted to ISBI’23 (3 orals, 15% acceptance rate)
• 2022/12: 🎉 Passed PhD Candidacy Exam
• 2022/10: 📚 2 papers accepted to BIBM’22 (20% acceptance rate)

Selected Publications

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.
Charley Y. Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nischal Sapkota, Pengfei Gu, Danny Z. Chen, Yun Bian, Hui Jiang, Le Lu, Ke Yan, Dakai Jin.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2024.
Paper | Code (TBA)

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings.
Charley Y. Zhang, Pengfei Gu, Nischal Sapkota, Danny Z. Chen.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.
Paper | Code

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
Yizhe Zhang, Tao Zhou, Shuo Wang, Charley Y. Zhang, Peixian Liang, Danny Z. Chen.
International Conference on Medical Image Computing and Computer Assisted Interventions Workshop (MICCAI Workshop, Oral), 2023.
Paper

A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning.
Charley Y. Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen.
International Symposium on Biomedical Imaging (ISBI, Oral, 15% acceptance), 2023.
Paper

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation.
Charley Y. Zhang*, Xinrong Hu*, Nishchal Sapkota, Yiyu Shi, Danny Z. Chen.
International Conference on Bioinformatics and Biomedicine (BIBM, 20% acceptance), 2022.
Paper

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
Charley Y. Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen.
International Conference on Bioinformatics and Biomedicine (BIBM, 20% acceptance), 2022.
Paper

Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation.
Charley Y. Zhang, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Chen.
International Symposium on Biomedical Imaging (ISBI), 2022.
Paper