Jun-En Ding

5 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12)

Venues

AAAI (2) ACL (1) EMNLP (1) ICML (1)

Top co-authors

Feng Liu (3) Chenwei Wu (3) Xiaoxue Han (2) Zitao Shuai (2) Thao Nguyen Minh Phan (2) Cong-Tinh Dao (2) Pengfei Hu (2) Dongsheng Luo (2) Chih-Ho Hsu (1) André Hiroshi Bando (1)

Research topics

Artificial Intelligence (4) Core AI (4) Deep Learning (3) Healthcare & Medicine (2) Natural Language Processing (2) Architectures (2) Clinical (2) Applications (1) Learning Types (1) Resources & Methods (1)

Keywords

retrieval-augmented generation (2) electronic health record (2) attention mechanism (1) knowledge base (1) functional brain networks (1) fmri (1) neural ordinary differential equation (1) graph attention network (1) treatment planning (1) language bia (1) interpretable prediction (1) cross-lingual evaluation (1) clinical assessment (1) multilingual question answering (1) large language model (1) graph neural network (1) healthcare disparity (1) stock trend prediction (1) sequential graph (1) medical plan generation (1)

Papers

MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation ACL 2025 Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs AAAI 2025 NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders ICML 2025 No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery EMNLP 2025 Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract) AAAI 2023