Knowledge Computing Lab
知識計算實驗室

Meng-Fen Chiang

Assistant Professor

Department of Electronics and Electrical Engineering (ECE)

National Yang Ming Chiao Tung University (NYCU)

Office: 528-5

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 Reliable Multimodal Intelligence, spanning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Explainable Generative AI. Prior to NYCU, she was a Lecturer at The University of Auckland and a Researcher/Adjunct Professor at the Living Analytics Research Centre in Singapore. She received her Ph.D. from National Chiao-Tung University.

Research Interests

Multimodal Generative AI
  • Linguistic Decomposition for T2I Diffusion
  • Relation-Aware Multimodal Reasoning
Knowledge-Enhanced LLMs
  • Knowledge Graph Reasoning
  • Logical Query Reasoning over Knowledge Graphs
  • Neutralized Zero-shot Transfer
Responsible AI
  • Data Privacy Auditing in RAG Systems
  • Metric-Guided Reliable Explainability
  • Rationale Learning and Editing

Teaching

  • Introduction to Machine Learning
  • Discrete Mathematics
  • Data Science
  • Advanced Topics in Machine Learning
  • Advanced Machine Learning
  • Machine Learning
  • Algorithms for Massive Data
  • Algorithms and Data Structures
  • Discrete Mathematics
  • Advanced Topics in Database Systems
  • Fundamentals of Database Systems
  • Operating Systems

    • Publiciations

    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