Short Biography: I have joined the Department of Electrical and Computer Engineering at the University of Iowa. Please refer https://engineering.uiowa.edu/people/kishlay-jha
Research interests: My research interests are broadly in the areas of data science and artificial intelligence with a focus on data mining and machine learning. In particular, my research focuses on developing scalable machine learning algorithms for the analysis of overwhelmingly large and complex data, especially the large-scale data being perpetually generated in the rapidly evolving interdisciplinary domains such as life sciences and biomedicine.
Selected Recent Publications: [Google Scholar] [DBLP List]
Kishlay Jha, Guangxu Xun, Nan Du, and Aidong Zhang. Knowledge-guided Efficient Representation Learning for Biomedical Domain. Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore, August 2021. [Paper]
Kishlay Jha and Aidong Zhang. Continual Knowledge Infusion into Pre-trained Biomedical Language Models. Bioinformatics, Oxford University Press, September 2021. [Paper]
Kishlay Jha, Guangxu Xun, and Aidong Zhang. Continual Representation Learning for Evolving Biomedical Bipartite Networks. Bioinformatics, Oxford University Press, February 2021. [Paper]
Kishlay Jha, Guangxu Xun, Yaqing Wang, and Aidong Zhang. Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 2019. [Paper]
Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, and Aidong Zhang. DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Transactions on Knowledge Discovery from Data (TKDD), 2019 [Paper]
Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, and Aidong Zhang. Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, United Kingdom, August 2018. [Paper]
Kishlay Jha, Yaqing Wang, Guangxu Xun, and Aidong Zhang. Interpretable Word embeddings for Medical Domain. Proceedings of the 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore, November 2018. [Paper]