Juncheng Wu

About Me

I am a Ph.D. student at VLAA Lab in University of California, Santa Cruz. I am fortunate to work with Prof. Yuyin Zhou and Cihang Xie. I received bachelor degree in Tongji University, where I am fortunate to be advised by Prof. Zhangkai Ni.

My research interest lies in Multi-modal Foundation Models. I currently focus on building large-scale foundation model for biomedicine and single cell multi-omic data.

I am looking for potential intern positions in the summer of 2025. If you are interested in my research, please feel free to contact me.

Research Interests

• Computer Vision: Multimodal Large Models.
• Deep Learning: Self-supervised Learning.

News

• [Feb. 2025] We release EpiFoundation, a foundation model for scATAC-seq based on aligning peak-to-gene correlations.
• [Jan. 2025] One paper is accepted to ICLR 2025.
• [Sep. 2024] One paper is accepted to NeurIPS 2024.
• [Sep. 2024] We comprehensively benchmarked openai o1-preview on multiple medical tasks, and provide a detailed analysis of its performance. Project Page
• [Aug. 2024] We release MedTrinity-25M, a large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations.
• [Jun. 2024] Obtained the honor of Outstanding Graduate of Tongji University.
• [Feb. 2024] Our paper about misalignment robust loss function is accepted to CVPR 2024.

Publications

Services

Conference Reviewers

• Annual Conference on Neural Information Processing Systems (NeurIPS) 2024
• International Conference on Learning Representations (ICLR) 2025
• International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
• International Conference on Machine Learning (ICML) 2025

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