🎓 Yimu Pan - Personal Homepage - Emu Internet Explorer

Address

📄 https://ymp5078.github.io/

★ Welcome to Yimu Pan's Homepage! ★ Applied Scientist @ Mistral AI ★ Ph.D. in Informatics, Penn State ★ Welcome to Yimu Pan's Homepage! ★

Yimu Pan

Applied Scientist @ Mistral AI

🎓 Ph.D. in Informatics, Penn State

📧 yimupan (dot) ai (at) gmail (dot) com

📋 About Me

📰 News

📝 Publications

🔧 Services

About Me

I am currently an Applied Scientist at Mistral AI . I am also pursuing a Ph.D. in Informatics at the Penn State College of IST under the supervision of Prof. James Z. Wang, where my research focuses on Computer Vision and Multi-Modality Learning. Prior to Mistral, I gained industry experience as a Research Intern at Dolby (Audio-Visual Reconstruction) and an Applied Scientist Intern at Amazon (Last Mile applications). I hold a B.S. in Computer Science, Mathematics, and Statistics from Penn State (Class of 2021).

Research Interests

Computer Vision: robustness improvement, video understanding, medical image analysis
Multi-Modality Learning: cross-modal learning, vision-language model, generative model
Large Language Model: pre-training, post-training

News

[Jan. 2026] Joined Mistral AI as an Applied Scientist. Excited to push the boundaries of what's possible with AI.
[Dec. 2025] Successfully defended my thesis. Thank you to my advisor, committee, colleagues, and the PlacentaVision team for their support.
[Aug. 2025] Successfully completed my internship at Dolby. Grateful for the support and guidance from all my colleagues.
[May. 2025] Excited to begin my role as an Research Intern at Dolby.
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Publications

AAAI

S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging

Yimu Pan, Sitao Zhang, Alison D. Gernand, Jeffery A. Goldstein, and James Z. Wang

Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

PDF Code

W3PHIAI@AAAI

AI-SAM: Automatic and Interactive Segment Anything Model

Yimu Pan, Sitao Zhang, Alison D. Gernand, Jeffery A. Goldstein, and James Z. Wang

The 9th International Workshop on Health Intelligence, in conjunction with the Annual AAAI Conference on Artificial Intelligence (W3PHIAI@AAAI), 2025.

PDF Code

W3PHIAI@AAAI

VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis

Manas Mehta, Yimu Pan, Kelly Gallagher, Alison D. Gernand, Jeffery A. Goldstein, Delia Mwinyelle, Leena Mithal and James Z. Wang

The 9th International Workshop on Health Intelligence, in conjunction with the Annual AAAI Conference on Artificial Intelligence (W3PHIAI@AAAI), 2025.

Patterns

Cross-Modal Contrastive Learning for Unified Placenta Analysis Using Photographs

Yimu Pan, Manas Mehta, Jeffery A. Goldstein, Joseph Ngonzi, Lisa M. Bebell, Drucilla J. Roberts, Chrystalle Katte Carreon, Kelly Gallagher, Rachel E. Walker, Alison D. Gernand, and James Z. Wang

Cell Press Patterns, 2024.

PDF Code

CVPR

Learning Emotion Representations from Verbal and Nonverbal Communication

Sitao Zhang*, Yimu Pan*, and James Z. Wang

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

PDF Code (*Equal contribution)

MICCAI

Enhancing Automatic Placenta Analysis through Distributional Feature Recomposition in Vision-Language Contrastive Learning

Yimu Pan, Tongan Cai, Manas Mehta, Alison D. Gernand, Jeffery A. Goldstein, Leena Mithal, Delia Mwinyelle, Kelly Gallagher and James Z. Wang

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

PDF

MICCAI

Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images

Yimu Pan, Alison D. Gernand, Jeffery A. Goldstein, Leena Mithal, Delia Mwinyelle and James Z. Wang

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

PDF Early Accept

Services

Conference Reviewers

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

AAAI Conference on Artificial Intelligence (AAAI)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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