Chenwei Wu

According to our database, Chenwei Wu authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Feng Liu, Fang-Ming Hung, Chenwei Wu

CoRR, March, 2025

Representation Learning of Lab Values via Masked AutoEncoder.

David S. Restrepo, Chenwei Wu, Yueran Jia, Jaden K. Sun, Jack Gallifant, Catherine G. Bielick, Yugang Jia, Leo A. Celi

CoRR, January, 2025

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts.

Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multiple Sclerosis Detection with Reinforcement Learning and Differential Evolution.

Jing Yang, Jin Yang, Chenwei Wu, Gaozhe Jiang, Yaning Lv, Bingyan Liu, Feng Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs.

David S. Restrepo, Chenwei Wu, 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, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing.

Zitao Shuai, Chenwei Wu, Zhengxu Tang, Bowen Song, Liyue Shen

CoRR, 2024

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing.

Zitao Shuai, Chenwei Wu, Zhengxu Tang, Bowen Song, Liyue Shen

CoRR, 2024

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models.

Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao

CoRR, 2024

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective.

David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, João Matos, Jack Gallifant, Luis Filipe

CoRR, 2024

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications.

David S. Restrepo, Chenwei Wu, Sebastián Andrés Cajas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López

CoRR, 2024

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era.

David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López

CoRR, 2024

Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection.

Chenwei Wu, David S. Restrepo, Zitao Shuai, Zhongming Liu, Liyue Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering.

David S. Restrepo, Luis Filipe Nakayama, Robyn Gayle Dychiao, Chenwei Wu, Liam G. McCoy, Jose Carlo Artiaga, Marisa Cobanaj, João Matos, Jack Gallifant, Danielle S. Bitterman, Vincenz Ferrer, Yindalon Aphinyanaphongs, Leo Anthony Celi

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models.

Phan Nguyen Minh Thao, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.

Kathryn Wantlin, Chenwei Wu, 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, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar

CoRR, 2023

Unveiling Patterns: A Study on Semi-Supervised Classification of Strip Surface Defects.

Yongfei Liu, Haoyu Yang, Chenwei Wu

IEEE Access, 2023

De-identification and Obfuscation of Gender Attributes from Retinal Scans.

Chenwei Wu, 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

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023