I'm an assistant professor in the Department of Computer Science and Engineering at the University of Notre Dame. My research focuses on Computational Behavior Modeling for applications such as recommendation, fraud detection, question answering, and decision making. It is at the intersection of data mining, machine learning, natural language processing, and artificial intelligence. [C.V.]

I am directing the Data Mining towards Decision Making (DM2) Laboratory, supported by National Science Foundation, Condé Nast Inc., Snap Inc. Research, and Notre Dame Global Gateway.

I am recruiting PhD students and visiting researchers. Drop me an e-mail (mjiang2 [at] nd.edu) if you are interested! Stay healthy, safe, and happy!

Call for MIS2-KDD2021 Submission: I am co-organizing the Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web Workshop (at ACM SIGKDD 2021). Please submit your work to our workshop [WikiCFP] [website] [CMT]. Deadline: June 01, 2021.

Call for Journal Articles: I am a co-Topic Editor for the Research Topic "Computational Behavioral Modeling for Big User Data" in Big Data Networks, Frontiers in Big Data. Keywords: Recommender Systems, Misbehavior Detection, Social Network Analysis, Graph Learning. Deadline: June 15, 2021.

Our survey on Knowledge-Enhanced Text Generation is released on arXiv. Here is the long reading list! This GitHub page has over 280+ stars.

What's New

• Check our Github repositories: DM2 @ Github --
• May 2021: Two papers were accepted to KDD 2021 on (1) taxonomny construction by concept name generation and (2) partially aligned graph convolutional networks.
• April 2021: Our ICSE 2021 paper was selected for an ACM SIGSOFT Distinguished Paper Award!
• April 2021: Summer internship: (1) Wenhao Yu will be a summer intern at Microsoft Cognitive Service Research, working with Dr. Chenguang Zhu. (2) Tong Zhao will be a summer intern at Amazon, working with Dr. Bing Yin. (3) Qingkai Zeng will be a summer intern at JD AI Research, working with Dr. Lingfei Wu.
• March 2021: One paper was accepted to ACM TIST on learning complementarity.
• March 2021: Two papers were accepted to NAACL-HTL 2021 on abstractive summarization and technical question answering.
• February 2021: One paper was accepted to ACM TOIS on graph representation learning.
• January 2021: Two papers were accepted to TheWebConf 2021.
• December 2020: Congratulations to Tong Zhao for receiving 2020 Snap Research Fellowship.
• December 2020: Congratulations to Bo Ni for receiving honorable mention, Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award!
• December 2020: One paper was accepted to ICSE 2021 on Transformer models for software traceability.
• December 2020: One paper was accepted to AAAI 2021 on Data Augmentation for Graph Neural Networks.

Latest Publications

• Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding, ACM Transactions on Intelligent Systems and Technology, 2021. (In press)
• Inductive Contextual Relation Learning for Personalization, ACM Transactions on Information Systems, 2021. (In press)
• Data Efficient Learning on Graphs, KDD, 2021. (tutorial)
• Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations, KDD, 2021.
• Cross-Network Learning with Partially Aligned Graph Convolutional Networks, KDD, 2021.
• Technical Question Answering across Tasks and Domains, NAACL-HLT, 2021.
• Enhancing Factual Consistency of Abstractive Summarization, NAACL-HLT, 2021.
• TCN: Table Convolutional Network for Web Table Interpretation, TheWebConf, 2021.
• Few-Shot Graph Learning for Molecular Property Prediction, TheWebConf, 2021.
• Traceability Transformed: Generating More Accurate Links with Pre-Trained BERT Models, ICSE, 2021 (selected for ACM SIGSOFT Distinguished Paper Award).
• Data Augmentation for Graph Neural Networks, AAAI, 2021.

Current Projects

• NSF CRII: III: Complementarity Learning for Contextual Behavior Modeling. (10/01/2019 - 09/30/2021)
• NSF SHF: Medium: Collaborative Research: Semantically-Enhanced Software Traceability for Supporting Human-Centric Tasks. (08/15/2019 - 08/14/2023)

Prior Projects

• Global Gateway: Digital Empires: Structured Biographical and Social Network Analysis of Early Chinese Empires. (05/01/2019 - 08/31/2020)
• Condé Nast: Representation Learning for Modeling and Predicting User Engagement and Propensity for Conversion Through the Engagement Funnel. (01/21/2019 - 05/20/2020)

Last updated on May 18, 2021.