Knowledge Computing Lab
知識計算實驗室
Dr. Meng-Fen Chiang
Assistant Professor
Department of Electronics and Electrical Engineering (ECE)
National Yang Ming Chiao Tung University (NYCU)
Office: ED528-5, No. 1001, Daxue Rd. East Dist., Hsinchu City 300093, Taiwan
E-mail: meng.chiang [at] nycu.edu.tw
Meng-Fen Chiang is an Assistant Professor in the Department of Electronics and Electrical Engineering (ECE) at National Yang Ming Chiao Tung University (NYCU), where she leads the Knowledge Computing Lab. Her research advances trustworthy multimodal intelligence across three fronts: reasoning agents that perform complex, multi-hop inference over knowledge graphs; trustworthy AI that detects and contains hallucination and knowledge conflicts in LLMs and MLLMs; and multimodal AI that improves robust reasoning in high-resolution, multi-sensor settings. Prior to NYCU, she was a Lecturer at The University of Auckland (UoA), a Research Scientist at the Living Analytics Research Centre in Singapore, and Adjunct Professor at Singapore Management University (SMU). She holds a Ph.D. from National Chiao Tung University, under the supervision of Professor Wen-Chih Peng.
Vision
Reasoning Accountability = AI Serves Humanity
Advancing AI that reasons with integrity, explains its thinking, and respects human privacy from research to real-world impact.
Multimodal Reasoning
- Relation-aware analogical reasoning
- RAGs over N-ary Hypergraphs
- Faithful persona steering
- Logical query reasoning over KGs
Responsible AI
- LLMs Hallucination detection
- Privacy auditing in RAG pipelines
- Principle-guided medical reasoning
Generative AI
- Text-to-image multigranular alignment
- Knowledge-conflict resolution in LLMs
Explainable AI
- Editable rationale learning
- Metric-guided explainability
- Debiased zero-shot transfer
Teaching
From theory to applied AI, across NYCU, UoA, and SMU
Current @ NYCU
- Introduction to Data Science
- Discrete Mathematics
- Introduction to Machine Learning
- Advanced Machine Learning
- Advanced Topics in Machine Learning
Systems & Theory
- Algorithms for Massive Data
- Algorithms and Data Structures
- Operating Systems
- Advanced Topics in Database Systems
- Fundamentals of Database Systems
