Greetings! I am an assistant professor at Stevens Institute of Technology. I’m actively looking for Ph.D. students to work with me in data science and business analytics. Feel free to shoot me an email with your CV. Once we have a commitment to each other, I will exert my utmost effort to help you!

I received my Ph.D. at Rutgers University, advised by Prof. Hui Xiong. My research interests lie in the intersection of data mining, natural langauge processing and business intelligence. I am interested in two types of research philosophy: (i) empower deep learning models with human domain knowledge, i.e., leverage domain knowledge to design new AI models for domain sciences (e.g., Talent Analytics and FinTech); (ii) leverage AI to discover new knowledge, i.e., apply machine learning to interpret societal phenomena and derive managerial implications to guide decision-making.

My work has been published in top venues of data mining, artificial intelligence and information systems, including refereed journals (IEEE TKDE, IEEE BigData) and conference proceedings (KDD, AAAI, ICDM, CIKM, CIST, etc.). Some of my working papers are under review for UTD and FT50 journals.

News

03/2024: My collaborators and I are glad to receive a small grant supporting our research on the AI-influenced labor ecosystem!
01/2024: Invited to serve as a reviewer for MIS Quarterly.
12/2023: Glad to receive the Best Student Paper Award at ICIS 2023!
12/2023: One paper on Hierarchical Multi-Label Classification got accepted to AAAI 2024!
09/2023: Invited to serve as a reviewer for INFORMS Journal on Computing.
09/2023: Invited to serve as a reviewer for Nature Communications.
03/2023: Invited to serve as a reviewer for AMCIS 2023!
02/2023: Invited to serve as a PC member for KDD 2023!
09/2022: So glad to receive the Student Scholarship from INFORMS Workshop on Data Science, thanks!
09/2022: Invited to serve as a PC member for WITS 2022!
08/2022: Two papers got accepted to INFORMS Workshop on Data Science!
08/2022: One paper got accepted to CIST 2022!
08/2022: One paper on product representation learning got accepted to IEEE TKDE!
08/2022: Invited to serve as a PC member for AAAI 2023.
07/2022: Invited to serve as a session chair for KDD 2022.
05/2022: Thrilled to receive the Dean’s Dissertation Fellowship from Rutgers, thank you Rutgers!
04/2022: Will serve as a session chair at INFORMS 2022.
12/2021: One paper on KG reasoning got accepted to AAAI’22 (15% acceptance rate).
11/2021: Invited to serve as a PC member for KDD’22 Applied Data Science Track.
10/2021: Gave a talk about “Domain-oriented BERT” at AI Times (by Tsinghua University).
08/2021: Invited to serve as a PC member for AAAI’22, WSDM’22.
07/2021: Invited to serve as a PC member for IJCAI’22.
05/2021: One paper accepted to KDD’21.
04/2021: Passed my dissertation proposal defense, glad to be Ph.D. candidate now!
01/2021: Will join Amazon as a research intern.
12/2020: One paper accepted to AAAI’21.
11/2020: Invited to serve as a PC member for WWW’21.
10/2020: Invited to serve as a PC member for IJCAI’21.
09/2020: Invited to serve as a PC member for AAAI’21.\

Industry Experiences

• Amazon Science,    Product Graph Team,    2021.05 - 2021.08
  • Applied Scientist Intern
    • Topic: Language Representation Pre-training for Low-resource Entity Matching.
• NEC Laboratories America,    Data Science Team,    2020.06 - 2020.08
  • Research Intern
    • Topic: Deep Contextualized Product Representation Learning.
• NEC Laboratories America,   Data Science Team,   2019.06 - 2019.08
  • Research Intern
    • Topic: Spatio-temporal Modeling for Turbulence Forecasting.
• Baidu Research,    Talent Intelligence Center,    2018.06 - 2018.08
  • Research Intern
    • Topic: Representation Learning for Talent and Job Market Analysis and Benchmarking.

Services

• Session Chair:
  • INFORMS Annual Meeting 2022
    • Session: AI-driven Business Analytics: New Advances and Applications
  • The 28th ACM SIGKDD Conference (2022)
    • Session of “Graph Learning and Social Networks”
• Program Committee Member:

  • ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022

  • Annual Meeting of the Association for Computational Linguistics (ACL), 2022

  • AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022

  • International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2022

  • Workshop on Information Technologies and Systems (WITS), 2022

  • International Conference on Information Systems (ICIS), 2022

  • Pacific Asia Conference on Information Systems (PACIS), 2022

  • International Conference on Information and Knowledge Management (CIKM), 2020

  • ACM International Conference on Web Search and Data Mining (WSDM), 2022

• Journal Reviewer:

  • IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019

  • Electronic Commerce Research and Applications, 2022

Teaching Experience

Instructor:

• Big Data Technology (Graduate, Spring 2024, Stevens Institute of Technology).
  • Topics: MapReduce, Hadoop, Spark, Streaming Data, Large-scale Machine Learning.
• Data Warehousing & Data Mining (Undergraduate, Spring 2022, Rutgers University)
  • Teach students with diverse backgrounds the fundations of data mining and machine learning, as well as how to use Python, Pandas, Orange to perform quick data anlytics.