Ping Wang

About me

Ping Wang is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology and an affiliated member of The Stevens Institute for Artificial Intelligence (SIAI). She received her Ph.D. from Virginia Tech under the supervision of Dr. Chandan K. Reddy in 2021. Her research interests are in the broad area of data mining and machine learning with particular focus on healthcare analytics, including clinical question answering, information extraction, graph mining, and survival analysis. She has published papers in leading conferences (e.g., WWW, CIKM, and AAAI) and high impact journals (e.g., ACM Computing Surveys and IEEE TKDE). She received the NSF CRII award in 2023 to explore the reasoning augmented searching on NoSQL databases. She was Recognized as the “Research PhD Student of the Year” (one per year) in the Department of Computer Science at Virginia Tech in 2021.

Presentations

• Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
  Talk, WWW 2021, April 2021. Slides Video
  
• Text-to-SQL Generation for Question Answering on Electronic Medical Records
  Talk, WWW 2020, April 2020. Slides Video
• A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data
  Poster, CRA-W Grad Cohort Workshop, April 2017, Washington D.C., USA.
• CRISP: Concensus Regularized Selection based Prediction
  Talk, CIKM 2016, October 2016, Indianapolis, IN, USA.
• Bayesian Network based Event Forecasting Models for Censored Data
  Poster, SDM 2016, May 2016, Miami, FL, USA.

Professional Services

• Program committee:
  AAAI 2021-2023, ACL 2020-2021, 2023, EMNLP 2020-2023, COLING 2020, 2022, AMIA 2017-2023.
• Reviewer for journals:
  ACM Computing Surveys (CSUR)
  ACM Transactions on Knowledge Discovery from Data (TKDD)
  ACM Transactions on Computing for Healthcare (HEALTH)
  IEEE Transactions on Knowledge and Data Engineering (TKDE)
  EEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  Journal of Machine Learning Research (JMLR)
  
• Other services:
  NSF panel: 2021-2023
  Graduate academic advisor for master students: 2021-present
  Student volunteer: EMNLP 2020, WiML@NeurIPS 2020
  Poster mentor: WiML@NeurIPS 2020