I'm an assistant professor in the Department of Computer Science and Engineering, College of Engineering at the University of Notre Dame. I joined the faculty in August 2017, after completing my Ph.D. in Computer Science and Technology at Tsinghua University in 2015 and two-year postdoctoral training in Computer Science at the University of Illinois at Urbana-Champaign. [C.V.]
My research focuses on Computational Behavior Modeling for applications such as behavior prediction, recommendation, fraud detection, event detection, planning, and decision making. It is at the intersection of network science, text mining, information extraction, machine learning, and artificial intelligence.
I am directing the Data Mining towards Decision Making (DM2) Laboratory. My research has been supported by National Science Foundation, Condé Nast Inc., and Global Gateway.
I am recruiting Ph.D. students and visiting researchers. DM2 Lab has at least three openings. Drop me an e-mail (mjiang2@nd.edu) if you are interested!
What's New
Latest Publications
- Multi-label Patent Categorization with Non-local Attention-based Graph Convolutional Network,
AAAI, 2020.
- Few-Shot Knowledge Base Completion,
AAAI, 2020.
- Graph Few-shot Learning via Knowledge Transfer,
AAAI, 2020.
- CTGA: Graph-based Biomedical Literature Search,
IEEE BIBM, 2019.
- Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text,
EMNLP, 2019.
- MSU-Net: Multiscale Statistical U-Net forReal-time 3D Cardiac MRI Video Segmentation,
MICCAI, 2019.
- TUBE: Embedding Behavior Outcomes for Predicting Success,
KDD, 2019. (Oral)
- The Role of 'Condition': A Novel Scientific Knowledge Graph Representation and Construction Model,
KDD, 2019.
- Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System,
TheWebConf, 2019. (Demo)
- A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts,
TheWebConf, 2019.
- Graph Few-shot Learning via Knowledge Transfer
Graph Representation Learning Workshop (GRL) at NeurIPS, 2019.
- Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
Workshop on Graph-Based Natural Language Processing (TextGraphs) at EMNLP, 2019.
- A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography
International Workshop on EntitY REtrieval (EYRE) at CIKM, 2019.
- Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements
International Workshop on Data Mining in Bioinformatics (BioKDD) at KDD, 2019.
Last updated on November 10, 2019.