Jun-En Ding - RankMe

35 papers A* 4A 2Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CURENet: combining unified representations for efficient chronic disease prediction. Health Inf. Sci. Syst. 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
2026	J	`jnl`	Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosis. CoRR Tongze Zhang, Jun-En Ding, Melik Ozolcer, Fang-Ming Hung, Albert Chih-Chieh Yang, Feng Liu, Yi-Rou Ji, Sang Won Bae
2026	J	`jnl`	Enhancing multimodal medical image classification through cross-graph modal contrastive learning. Expert Syst. Appl. Jun-En Ding, Chien-Chin Hsu, Chi-Hsiang Chu, Shuqiang Wang, Feng Liu
2026	J	`jnl`	NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning. CoRR Guoan Wang, Shihao Yang, Jun-En Ding, Hao Zhu, Feng Liu
2026	J	`jnl`	NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines. CoRR Guoan Wang, Shihao Yang, Jun-En Ding, Hao Zhu, Feng Liu
2025	J	`jnl`	CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction. CoRR 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
2025	J	`jnl`	Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification. CoRR Jing Wang, Jun-En Ding, Feng Liu, Elisa Kallioniemi, Shuqiang Wang, Wen-Xiang Tsai, Albert C. Yang
2025	J	`jnl`	Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review. CoRR Shihao Yang, Xiying Huang, Danilo Bernardo, Jun-En Ding, Andrew Michael, Jingmei Yang, Patrick Kwan, Ashish Raj, Feng Liu
2025	—	`conf`	MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation. ACL (6) 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
2025	J	`jnl`	MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation. CoRR 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
2025	A*	`conf`	Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. AAAI 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
2025	A*	`conf`	NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. ICML Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu
2025	J	`jnl`	NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. CoRR Jun-En Ding, Dongsheng Luo, Anna Zilverstand, Feng Liu
2025	—	`conf`	No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. EMNLP (Findings) Xiaoxue Han, Pengfei Hu, Chang Lu, Jun-En Ding, Feng Liu, Yue Ning
2025	J	`jnl`	No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. CoRR Xiaoxue Han, Pengfei Hu, Jun-En Ding, Chang Lu, Feng Liu, Yue Ning
2025	J	`jnl`	RPRO:Ranked Preference Reinforcement Optimization for Enhancing Medical QA and Diagnostic Reasoning. CoRR Chia-Hsuan Hsu, Jun-En Ding, Hsin-Ling Hsu, Feng Liu, Fang-Ming Hung
2025	J	`jnl`	Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. IEEE J. Biomed. Health Informatics Jun-En Ding, Shihao Yang, Anna Zilverstand, Kaustubh R. Kulkarni, Xiaosi Gu, Feng Liu
2025	J	`jnl`	Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks. CoRR Jun-En Ding, Anna Zilverstand, Shihao Yang, Albert Chih-Chieh Yang, Feng Liu
2024	A	`conf`	EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. CIKM Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
2024	J	`jnl`	EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. CoRR Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
2024	J	`jnl`	Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning. CoRR Jun-En Ding, Chien-Chin Hsu, Feng Liu
2024	J	`jnl`	Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. CoRR Jun-En Ding, Shihao Yang, Anna Zilverstand, Feng Liu
2024	J	`jnl`	Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-Fu Chen, Feng Liu, Fang-Ming Hung
2024	A	`conf`	MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CIKM 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
2024	J	`jnl`	MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CoRR Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David S. Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng
2024	J	`jnl`	Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. CoRR 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
2024	—	`conf`	Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features. ISBI Jun-En Ding, Chien-Chin Hsu, Feng Liu
2023	J	`jnl`	Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE. CoRR Jun-En Ding, Chih-Ho Hsu, Kuan-Chia Ling, Ling Chen, Fang-Ming Hung
2023	J	`jnl`	Parkinson Disease classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features. CoRR Jun-En Ding, Chien-Chin Hsu, Feng Liu
2023	A*	`conf`	Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). AAAI Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding
2023	J	`jnl`	Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract). CoRR Tzu-Ya Lai, Wen Jung Cheng, Jun-En Ding
2021	—	`conf`	An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking. TREC Jia-Huei Ju, Chih-Ting Yeh, Cheng-Wei Lin, Chia-Ying Tsao, Jun-En Ding, Chuan-Ju Wang, Ming-Feng Tsai
2021	—	`conf`	Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers. MIUA Jun-En Ding, Chi-Hsiang Chu, Mong-Na Lo Huang, Chien-Ching Hsu
2021	J	`jnl`	Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers. CoRR Jun-En Ding, Chi-Hsiang Chu, Mong-Na Lo Huang, Chien-Ching Hsu
2021	A*	`conf`	LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. SIGIR Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang