👋 About Me

I am currently a PhD student at the Department of Computer Science at Stony Brook University, advised by Prof. Chao Chen. I am also working closely with Dr. Xiaoling Hu and Dr. Shahira Abousamra.

Before that, I obtained my master and bachelor degrees from University of Chinese Academy of Sciences and Sichuan University, respectively.

Research Interests: I am broadly interested in vision-language models and multi-modal representation learning, with applications to computational pathology and spatial transcriptomics.

🔥 News

• 2026.08:  🎉🎉 RankByGene was accepted by TMI.
• 2026.05:  🎉🎉 Started as a Machine Learning Intern at PathAI.
• 2026.02:  🎉🎉 HistoSelect was accepted by CVPR 2026.

💻 Experience

• 2026.05 - 2026.08, Machine Learning Intern, PathAI, Mentors: Deeksha Kartik, Chintan Shah, Zhengyang Zhou, Boston, MA, USA.
• 2025.05 - 2025.11, Research Intern, Mayo Clinic, Mentor: Dr. Chen Wang, Rochester, MN, USA.

📝 Publications

✨ Conference

• Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning,
  Wentao Huang, Weimin Lyu, Peiliang Lou, Qingqiao Hu, Xiaoling Hu, Shahira Abousamra, Wenchao Han, Ruifeng Guo, Jiawei Zhou, Chao Chen, Chen Wang
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 | Code | Poster

• Merge: multi-faceted hierarchical graph-based gnn for gene expression prediction from whole slide histopathology images,
  Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 | Code

• Hard negative sample mining for whole slide image classification,
  Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 | Code

🌟 Journal

• RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency,
  Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Michael L. Miller, Chao Chen
  IEEE Transactions on Medical Imaging (TMI), 2026 | Code | Early Access

📖 Education

• 2022.08 - Present, PhD in Computer Science, Stony Brook University.
• 2018.09 - 2021.06, Master in Computer Engineering, University of Chinese Academy of Sciences.
• 2014.09 - 2018.06, Bachelor in Telecomunication Engineering, Sichuan University.