Kishlay Jha

    Ph.D. Student
    Department of Computer Science
    University of Virginia
    Email: kishlay@email.virginia.edu
    Office Address:
    Rice Hall 230
    Department of Computer Science
    85 Engineer Way, P.O. Box 400740
    Charlottesville, VA 22903

Short Biography: I am a fourth-year Ph.D. Student in the Department of Computer Science at the University of Virginia. My academic advisor is Professor Aidong Zhang. Recently, i transferred from CS PhD program of the State University of New York at Buffalo to University of Virginia. Previous to that, i received my Master's Degree in Computer Science from North Dakota State University. My CV can found here.

My primary research interests are in the areas of Text Mining and Machine Learning with applications to Healthcare Analytics. Towards my PhD dissertation, I am studying the temporal dynamics of concepts in large-scale scientific repositories and attempting to develop sophisticated, robust and scalable solutions for various biomedical text-mining applications such as Hypothesis generation and Drug-Drug interaction.

  • Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts [Paper]
    Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
  • Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution [Paper]
    Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
  • DWE-Med: Dynamic Word Embeddings for Medical Domain [Paper]
    Kishlay Jha*, Guangxu Xun*, Vishrawas Gopalakrishnan, Aidong Zhang
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2019 (* denotes equal contribution)
  • MeSHProbeNet: A Self-attentive Probe Net for MeSH Indexing [Paper]
    Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang
    Bioinformatics, 2019
  • A Survey on Literature Based Discovery Approaches in Biomedical Domain [Paper]
    Vishrawas Gopalakrishnan*, Kishlay Jha*, Wei Jin, Aidong Zhang
    Journal of biomedical informatics (JBI), 2019 (* denotes equal contribution)
  • Interpretable Word Embeddings For Medical Domain [Paper]
    Kishlay Jha*, Yaqing Wang*, Guangxu Xun, and Aidong Zhang
    IEEE International Conference on Data Mining (ICDM), 2018 (* denotes equal contribution)
  • EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection [Paper]
    Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su and Jing Gao
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018