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

Bio: Meng-Fen is an Assistant Professor in the Department of Electronics and Electrical Engineering (ECE) at National Yang Ming Chiao Tung University (NYCU). Prior to joining NYCU, she was a Lecturer in Computer Science at The University of Auckland. She received her Ph.D. in Computer Science at National Chiao-Tung University in Taiwan. From 2014 to 2019, she worked at the Living Analytics Research Centre at Singapore Management University as a Researcher and an Adjunct Professor. Her research focuses on the intersection of multimodal representation learning and computational linguistics.

Research

Multimodal Representation Learning
  • Question Answering
  • Logical Reasoning
    • Computational Linguistics
  • Explainable AI
  • Knowledge Transfer Learning
    • Urban Computing
  • Taxi Demands Modeling
  • Taxi Trip Occupancy Inference
  • Traffic Congestion Detection
  • Urban Lifestyles Modeling

    • National Yang Ming Chiao Tung University

  • Introduction to Machine Learning ('25)
  • 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

    A Shapley-value Guided Rationale Editor for Rationale Learning [to appear]
    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