News

• [Paper] Jan 2022. Started postdoc at MIT CSAIL.
• [Paper] Dec 2021. Our paper Positive Unlabeled Learning with a Sequential Selection Bias was accepted to at SDM 2022.
• [Paper] Dec 2021. Our paper Recovering the Propensity Score from Biased Positive Unlabeled Data was accepted to at AAAI 2022.
• [Papers] Oct 2021. Two papers accepted to IEEE BigData 2021.
• [PC] Oct 2021. PC for ACL 2022 and NAACL 2022.
• [Paper] Sep 2021. Our paper Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification was accepted at NeurIPS 2021.
• [PC] Aug 2021. PC for AAAI 2022.
• [Paper] Aug 2021. Our paper Learning Saliency Maps for Deep Time Series Classifiers was accepted at CIKM 2021.
• [Paper] May 2021. Our paper Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks was accepted at KDD 2021.
• [PC] Apr 2021. PC for EMNLP 2021.
• [PC] Jan 2021. PC for ICCV 2021.
• [PC] Jan 2021. PC for ACL 2021.
• [Paper] December 2020. Our paper Semi-Supervised Knowledge Amalgamation for Sequence Classification was accepted at AAAI 2021.
• [News] Dec 2020. I am joining Microsoft next summer as a PhD intern.
• [News] Dec 2020. I volunteered at NeurIPS 2020.
• [PC] Nov 2020. PC for CVPR 2021.
• [Paper] Oct 2020. Our paper Learning Similarity-Preserving Meta-Embedding for Text Mining was accepted at IEEE BigData 2020.
• [Talk] Oct 2020. I gave a talk at the Computational Sustainability Doctoral Consortium in October.
• [Talk] Sep 2020. I gave a talk on my research at Harvard University.
• [Award] Sep 2020. I was awarded the CIKM Travel Grant from ACM.
• [PC] Aug 2020. PC for AAAI 2021.
• [Award] Aug 2020. I was been awarded the KDD Travel Grant this year from ACM and the NSF.
• [Paper] Jul 2020. Our paper Learning to Selectively Update State Neurons in Recurrent Networks was accepted at CIKM 2020.
• [Talk] Jun 2020. I gave a talk on my research at Florida State University.
• [Paper] May 2020. Our paper Recurrent Halting Chain for Early Multi-label Classification was accepted at KDD 2020.
• [Paper] Apr 2020. Our paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? was accepted at ACL 2020.
• [Award] Feb 2020. Our paper at HEALTHINF this year was awarded best poster.
• [Paper] Dec 2019. Our paper Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection was accepted at HEALTHINF 2020.
• [Paper] Oct 2019. Our paper Patient-Level Classification of Clinical Note Sequences Guided by Attributed Hierarchical Attention was accepted to IEEE BigData 2019.
• [Paper] Oct 2019. Our paper Learning Temporal Relevance in Longitudinal Medical Notes was accepted to IEEE BigData 2019.
• [Talk] Sep 2019. I presented some of my work at the University of Minnesota Workshop on Recent Progress in Foundational Data Science.
• [Event] Aug 2019. I attended Big Data 2019 at Harvard University.
• [Talk] Aug 2019. I attended KDD 2019 and presented our paper.
• [Talk] May 2019. I presented some of my work at the New England Machine Learning Day.
• [Paper] Apr 2019. Our paper Adaptive-Halting Policy Network for Early Classification was accepted at KDD 2019.
• [Award] Apr 2019. I won first place in WPI’s annual graduate research showcase.
• [Paper] Mar 2019. Our paper Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining was accepted to the IEEE BHI.
• [Event] Jan 2019. I attended the Geometric Analysis Approach to AI Workshop at Harvard University.
• [News] Nov 2018. I defended my Master’s Thesis: Adaptively-Halting RNN for Tunable Early Classification of Time Series.
• [News] Sep 2018. I began a year-long collaboration with UMass Medical School.
• [News] Aug 2018. Two of my advised undegrads presented their summer project at the REU symposium in Washington, D.C.
• [Award] Apr 2018. I was awarded the WPI Data Science Citizen Award for driving community growth in our department.
• [Talk] Jan 2018. I presented our paper “Early Prediction of MRSA Infections Using Electronic Health Records” at HEALTHINF 2018 in Madeira, Funchal.
• [Award] Dec 2017. Our paper Early Prediction of MRSA Infections Using Electronic Health Records was nominated for the HEALTHINF 2018 best student paper award.
• [Paper] Oct 2017. Our paper Early Prediction of MRSA Infections Using Electronic Health Records was accepted to HEALTHINF 2018.
• [Paper] Jun 2017. Our paper CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining was accepted to ECML-PKDD 2017.
• [Award] May 2017. I was awarded the WPI Data Science Citizen Award for driving community growth in our department.
• [Award] Feb 2017. I presented joint work with Cansu Sen at the WPI Graduate Research and Innovation Exchange and received the People’s Choice award.