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). Her research focuses on Trustworthy Multimodal Intelligence, spanning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Knowledge-Grounded Reasoning Agents. Prior to NYCU, she was a Lecturer at The University of Auckland (UoA), a full-time Research Scientist at the Living Analytics Research Centre in Singapore, and Adjunct Professor at Singapore Management University (SMU). She received her Ph.D. from National Chiao-Tung University.

Research Interests

Knowledge-Grounded Reliable AI

Building AI systems that reason faithfully over structured and multimodal knowledge — trustworthy, explainable, and privacy-aware from the ground up.

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
Research
Teaching

Courses Taught

From theory to applied AI — spanning NYCU, The University of Auckland, and SMU.

Current @ NYCU
  • Introduction to Data Science
  • Discrete Mathematics
AI & Machine Learning
  • Introduction to Machine Learning
  • Advanced Machine Learning
  • Advanced Topics in Machine Learning
Systems & Theory
  • Algorithms for Massive Data
  • Algorithms and Data Structures
  • Operating Systems
Data & Databases
  • Advanced Topics in Database Systems
  • Fundamentals of Database Systems
Teaching

Publiciations

Faithful Persona Steering under Incongruity via Dual-Stream Refinement

Yu-An Chu, Jen-Ren Pong, Chia-Yao Yeh, Meng-Fen Chian.

Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts

Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang, Michael Witbrock, Kaiqi Zhao.

Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision

Xianda Zheng, Huan Gao, Meng-Fen Chiang, Michael Witbrock, Kaiqi Zhao, Shangyang Li.

Annual Meeting of the Association for Computational Linguistics (ACL), 2026

SiGHT: A Self-Supervised Graph-based Hallucination DeTection Framework for Domain-Specific LLMs

Zi-Ying Chen, Meng-Fen Chiang, Wen-Chih Peng.

International Conference on Artificial Intelligence and Statistics (AISTATS), 2026

Multigranular Alignment via Linguistic Decomposition and Reward Optimization for Text to Image Diffusion

Hengrui Liu, Luming Jin, Meng-Fen Chiang.

International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026

Relation-Aware Multimodal Analogical Reasoning with Modality Fingerprints and Adaptive Gating

Ruofan Wang, Zijian Huang, Qiqi Wang, Yuchen Su, Robert Amor, Kaiqi Zhao, Meng-Fen Chiang.

The Web Conference (WWW), 2026

HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation

Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh, Hong-Han Shuai.

The Web Conference (WWW), 2026

Metric-Guided Instance Re-weighting for Reliable Explainability

Yibo Huang, Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee.

International Conference on Data Mining (ICDM), 2025

S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems [pdf]

Zhirui Zeng, Jiamou Liu, Meng-Fen Chiang, Jialing He, Zijian Zhang.

Annual Meeting of the Association for Computational Linguistics (ACL), 2025

A Shapley-value Guided Rationale Editor for Rationale Learning [pdf]

Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee.

International Conference on Artificial Intelligence and Statistics (AISTATS), 2025

NKT: Evidence-aware Inference for Neutralized Zero-shot Transfer [pdf]

Xiaotong Feng, Meng-Fen Chiang, Wang-Chien Lee, Zixin Kuang.

International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024

LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs [pdf]

Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee.

International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022

Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions [pdf]

Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang.

International Joint Conference on Neural Networks (IJCNN), 2021

CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement [pdf]

Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo.

International Conference on Data Science and Advanced Analytics (DSAA), 2020

One-Class Order Embedding for Dependency Relation Prediction [pdf]

Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo.

International Conference on Research and Development in Information Retrieval (SIGIR), 2019

Inferring Trip Occupancies in the Rise of Ride-Hailing Services [pdf]

Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang.

International Conference on Information and Knowledge Management (CIKM), 2018

Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories (Demo Paper)

Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim.

International Conference on Information and Knowledge Management (CIKM), 2018

Content quality filtering without use of content [link]

Meng-Fen Chiang, Wen-Chih Peng.

US Patent US9213772B2, 2017

BTCI: A new framework for identifying congestion cascades using bus trajectory data [pdf]

Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Agus Trisnajaya Kwee.

IEEE BigData 2017

Mining and clustering mobility evolution patterns from social media for urban informatics

Chien-Cheng Chen, Meng-Fen Chiang, Wen-Chih Peng.

Knowledge and Information Systems (KAIS), 2016

Trajectory pattern mining: Exploring semantic and time information

Chien-Cheng Chen, Meng-Fen Chiang.

International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2016

On Mining Lifestyles from User Trip Data [pdf]

Meng-Fen Chiang, Ee-Peng Lim, Jia-Wei Low.

International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015

Where are the passengers?: a grid-based gaussian mixture model for taxi bookings [pdf]

Meng-Fen Chiang, Tuan-Anh Hoang, Ee-Peng Lim.

International Conference on Advances in Geographic Information Systems (SIGSPATIAL/GIS), 2015

Inferring potential users in mobile social networks

Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng.

International Conference on Data Science and Advanced Analytics (DSAA), 2014

Mining Mobility Evolution from Check-In Datasets [pdf]

Meng-Fen Chiang, Chien-Cheng Chen, Wen-Chih Peng, Philip S. Yu.

International Conference on Mobile Data Management (MDM), 2014

Dynamic Circle Recommendation: A Probabilistic Model

Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng.

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2014

Exploring heterogeneous information networks and random walk with restart for academic search [pdf]

Meng-Fen Chiang, Jiun-Jiue Liou, Jen-Liang Wang, Wen-Chih Peng, Man-Kwan Shan.

Knowledge and Information Systems (KAIS), 2013

Inferring distant-time location in low-sampling-rate trajectories (Demo Paper) [pdf]

Meng-Fen Chiang, Yung-Hsiang Lin, Wen-Chih Peng, Philip S. Yu.

International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2013

A Temporal Probabilistic Model for Dynamic Circle Recommendation in Mobile Applications

Fan-Kai Chou, Meng-Fen Chiang, Wen-Chih Peng.

International Conference on Mobile Data Management (MDM), 2013

Distant-Time Location Prediction in Low-Sampling-Rate Trajectories [pdf]

Meng-Fen Chiang, Wen-Yuan Zhu, Wen-Chih Peng, Philip S. Yu.

International Conference on Mobile Data Management (MDM), 2013

Exploring latent browsing graph for question answering recommendation [pdf]

Meng-Fen Chiang, Wen-Chih Peng, Philip S. Yu.

World Wide Web 2013

Inferring social relationships across social networks for viral marketing [pdf]

Tsung-Hao Hsu, Meng-Fen Chiang, Wen-Chih Peng.

International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2012

An event-based POI service from microblogs

Chun-Shuo Lin, Meng-Fen Chiang, Wen-Chih Peng, Chien-Cheng Chen.

APNOMS 2011

Parallelizing random walk with restart for large-scale query recommendation [pdf]

Meng-Fen Chiang, Tsung-Wei Wang, Wen-Chih Peng.

WWW 2010 Workshop on Massive Data Analytics over the Cloud (MDAC) 2013

Emotion-based music recommendation by affinity discovery from film music

Man-Kwan Shan, Fang-Fei Kuo, Meng-Fen Chiang, Suh-Yin Lee.

Expert Systems with Applications 2009

Relevance feedback for category search in music retrieval based on semantic concept learning

Man-Kwan Shan, Meng-Fen Chiang, Fang-Fei Kuo, Suh-Yin Lee.

Multimedia Tools and Applications 2008

Discovering popular co-cited communities in blogspaces

Meng-Fen Chiang, Wen-Chih Peng, Chia-Hao Lo.

International Conference on Data Engineering (ICDE) Workshop 2008

Ranking Web Pages from User Perspectives of Social Bookmarking Sites

Chia-Hao Lo, Wen-Chih Peng, Meng-Fen Chiang.

International Conference on Web Intelligence and Intelligent Agent Technology (Web Intelligence) 2008

Emotion-based music recommendation by association discovery from film music

Fang-Fei Kuo, Meng-Fen Chiang, Man-Kwan Shan, Suh-Yin Lee.

International conference on Multimedia (MM), 2005