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