Meng-Fen Chiang

Lecturer of Computer Science at The University of Auckland
Office: 303S.590
E-mail: meng.chiang[at]auckland.ac.nz

Bio: Meng-Fen is a Lecturer of 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 current research interests center around knowledge representation learning, graph information retrieval, and natural language processing. The research focuses on logical query reasoning over graph, linguistic, and visual representations.

Research

Knowledge Representation Learning
  • Knowledge Graph Representation Learning
  • Logical Query Reasoning over Knowledge Graphs
  • Natural Language Question Answering

    • Urban Computing
  • Taxi Demands Modeling
  • Taxi Trip Occupancy Inference
  • Traffic Congestion Detection
  • Urban Lifestyles Modeling

    • Teaching

  • SOFTENG 282: Software Engineering Theory ('23)
  • SOFTENG 284: Algorithms and Data Structures ('22-'23)
  • COMPSCI 220: Algorithms and Data Structures (SWU) ('21-'22)
  • COMPSCI 361: Machine Learning ('22)
  • SOFTENG 370: Operating Systems ('20)
  • COMPSCI 753: Algorithms for Massive Data ('21-'23)
  • COMPSCI 760: Advanced Topics in Machine Learning ('23)
  • COMPSCI 762: Advanced Machine Learning ('21)

    • Publiciations

    LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs [pdf]
    Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee.
    SIGKDD, 2022

    Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions [pdf]
    Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang.
    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.
    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.
    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.
    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.
    CIKM, 2018

    Content quality filtering without use of content [link]
    Meng-Fen Chiang, Wen-Chih Peng.
    US Patent 9,836,539, 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.
    KAIS, 2016

    Trajectory pattern mining: Exploring semantic and time information
    Chien-Cheng Chen, Meng-Fen Chiang.
    TAAI, 2016

    On Mining Lifestyles from User Trip Data [pdf]
    Meng-Fen Chiang, Ee-Peng Lim, Jia-Wei Low.
    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.
    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.
    DSAA 2014

    Mining Mobility Evolution from Check-In Datasets [pdf]
    Meng-Fen Chiang, Chien-Cheng Chen, Wen-Chih Peng, Philip S. Yu.
    MDM 2014

    Dynamic Circle Recommendation: A Probabilistic Model
    Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng.
    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.
    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.
    SIGKDD 2013

    A Temporal Probabilistic Model for Dynamic Circle Recommendation in Mobile Applications
    Fan-Kai Chou, Meng-Fen Chiang, Wen-Chih Peng.
    MDM 2013

    Distant-Time Location Prediction in Low-Sampling-Rate Trajectories [pdf]
    Meng-Fen Chiang, Wen-Yuan Zhu, Wen-Chih Peng, Philip S. Yu.
    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.
    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 (Workshop) 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.
    ICDE (Workshop) 2008

    Ranking Web Pages from User Perspectives of Social Bookmarking Sites
    Chia-Hao Lo, Wen-Chih Peng, Meng-Fen Chiang.
    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.
    MM 2005