Cong-Tinh Dao

According to our database, Cong-Tinh Dao authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

CURENet: combining unified representations for efficient chronic disease prediction.

Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung

Health Inf. Sci. Syst., December, 2026

2025

CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction.

Cong-Tinh Dao, Nguyen Minh Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung

CoRR, November, 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

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Predicting 24-Hour Emergency Room Revisits: A Concept Bottleneck Approach.

Yun-Chien Tseng, Cong-Tinh Dao, Chuan-Wei Kuo, Fang-Ming Hung, Chih-Chieh Hung, Wen-Chih Peng

Proceedings of the Technologies and Applications of Artificial Intelligence, 2024

Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning.

I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

2020

Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance.

Thanh-Hai Nguyen, Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Thi-Ngoc-Cham Nguyen, Tan-Tai Phan, Huynh-Ngoc Pham

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020