Research Projects and Publications

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Model-agnostic Methods for Text Classification with Inherent Noise
Kshitij Tayal, Rahul Ghosh, Vipin Kumar
28th International Conference on Computational Linguistics , 2020

Paper Link| Paper Code

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Regularized Graph Convolutional Networks for Short Text Classification
Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
28th International Conference on Computational Linguistics , 2020

Paper Link

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Unlocking Inverse Problems Using Deep Learning: Breaking Symmetries in Phase Retrieval
Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun
NeurIPS workshop on Deep Learning and Inverse Problems, 2020

Paper Link|Poster

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A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals
Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve Melton, Nicholas E Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L Burns, Kun Huang, Tadashi Allen, Scott D Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J Tignanelli
medRxiv, 2021

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Detection of Isocitrate Dehydrogenase Mutated Glioblastomas Through Anomaly Detection Analytics
Birra Taha, Taihui Li, Daniel Boley, Clark C. Chen, Ju Sun
Neurosurgery, 2021

Paper Link

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Rethink Autoencoders: Robust Manifold Learning
Taihui Li, Rishabh Mehta, Zecheng Qian, Ju Sun
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2020

Paper Link

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False Positive Elimination in Intrusion Detection Based on Clustering
Liang Hu, Taihui Li, Nannan Xie, Jiejun Hu
12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015

Paper Link

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Lung Cancer Risk Prediction Method Based on Feature Selection and Artificial Neural Network
Nannan Xie, Liang Hu, Taihui Li
Asian Pacific Journal of Cancer Prevention (APJCP), 2014

Paper Link