De-identification and Obfuscation of Gender Attributes from Retinal Scans. - Chenwei Wu 006; Xiyu Yang; Emil Ghitman Gilkes; Hanwen Cui; Jiheon Choi; Na Sun; Ziqian Liao; Bo Fan; Mauricio Santillana; Leo A. Celi; Paolo Silva; Luis Filipe Nakayama (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects. - Yongfei Liu; Haoyu Yang; Chenwei Wu 006 (IEEE Access, 2023)

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. - Kathryn Wantlin; Chenwei Wu 006; Shih-Cheng Huang; Oishi Banerjee; Farah Dadabhoy; Veeral Vipin Mehta; Ryan Wonhee Han; Fang Cao; Raja R. Narayan; Errol Colak; Adewole S. Adamson; Laura Heacock; et al. (CoRR, 2023)

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. - Phan Nguyen Minh Thao; Cong-Tinh Dao; Chenwei Wu 006; Jian-Zhe Wang; Shun Liu; Jun-En Ding; David S. Restrepo; Feng Liu 011; Fang-Ming Hung; Wen-Chih Peng (CIKM, 2024)

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. - David S. Restrepo; Luis Filipe Nakayama; Robyn Gayle Dychiao; Chenwei Wu 006; Liam G. McCoy; Jose Carlo Artiaga; Marisa Cobanaj; João Matos; Jack Gallifant; Danielle S. Bitterman; Vincenz Ferrer; Yindalon Aphinyanaphongs; et al. (ICHI, 2024)

Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection. - Chenwei Wu 006; David S. Restrepo; Zitao Shuai; Zhongming Liu; Liyue Shen (MICCAI (9), 2024)

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. - David S. Restrepo; Chenwei Wu 006; Sebastián Andrés Cajas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; João Matos; Jack Gallifant; Luis Filipe (CoRR, 2024)

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models. - Yuyan Chen; Chenwei Wu 006; Songzhou Yan; Panjun Liu; Haoyu Zhou; Yanghua Xiao (CoRR, 2024)

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing. - Zitao Shuai; Chenwei Wu 006; Zhengxu Tang; Bowen Song; Liyue Shen (CoRR, 2024)

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing. - Zitao Shuai; Chenwei Wu 006; Zhengxu Tang; Bowen Song; Liyue Shen (CoRR, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

Multiple Sclerosis Detection with Reinforcement Learning and Differential Evolution. - Jing Yang; Jin Yang; Chenwei Wu 006; Gaozhe Jiang; Yaning Lv; Bingyan Liu; Feng Xu (ICASSP, 2025)

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts. - Chenwei Wu 006; Zitao Shuai; Zhengxu Tang; Luning Wang; Liyue Shen (ICLR, 2025)

Representation Learning of Lab Values via Masked AutoEncoder. - David S. Restrepo; Chenwei Wu 006; Yueran Jia; Jaden K. Sun; Jack Gallifant; Catherine G. Bielick; Yugang Jia; Leo A. Celi (CoRR, 2025)

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation. - Hsin-Ling Hsu; Cong-Tinh Dao; Luning Wang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Chun-Chieh Liao; Pengfei Hu; Xiaoxue Han; Chih-Ho Hsu; Dongsheng Luo; Wen-Chih Peng; et al. (CoRR, 2025)