Publications

Preprints

P. Upadhyaya and A. Jiang, Machine Learning for Error Correction with Natural Redundancy, arXiv preprint  arXiv:1910.07420, 2019. 

Publications

P Upadhyaya, Y Ling, L Chen, Y Kim, X Jiang “Inferring Personalized Treatment Effect of Antihypertensives on Alzheimers Disease Using Deep Learning”, IEEE International Conference on Healthcare Informatics (ICHI), 2023.

P Upadhyaya, K Zhang, C Li, X Jiang, Y Kim, “Scalable Causal Structure Learning: Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine.”, Journal of Medical Internet Research (Medical Informatics), 2022. 

Y Ling, P Upadhyaya, L Chen, X Jiang, Y Kim, "Emulate Randomized Clinical Trials using Heterogeneous Treatment Effect Estimation for Personalized Treatments: Methodology Review and Benchmark”, Journal of Biomedical Informatics, 2022. 

B. Wu, P. Upadhyaya, S. Savitz, X. Jiang, S. Shams, “Novel Machine-learning Analysis to Predict Outcomes During Inpatient Rehabilitation”, World Stroke Congress, 2021.

K. Huang, N. Raviv, S. Jain, P. Upadhyaya, J. Bruck, P.H. Siegel, A.A. Jiang,“Improve Robustness of Deep Neural Networks by Coding”, Proc. Information Theory and Applications Workshop (ITA) , 2020.

N. Raviv, S. Jain, P. Upadhyaya, J. Bruck, and A. Jiang, CodNN Robust Neural Networks From Coded Classification, to appear in Proc. IEEE International Symposium on Information Theory (ISIT), 2020.

N. Raviv, P. Upadhyaya, S. Jain, J. Bruck, and A. Jiang, Coded Deep Neural Networks for Robust Neural Computation, accepted by Annual Non-volatile Memories Workshop (NVMW), 2020.

P. Upadhyaya and A. Jiang, Representation-Oblivious Error Correction by Natural Redundancy, to appear in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019. 

P. Upadhyaya and A. Jiang, File Type Recognition and Error Correction for NVMs with Deep Learning, to appear in Proc. Non-Volatile Memories Workshop (NVMW), La Jolla, CA, March 2019. 

P. Upadhyaya, X. Yu, J. Mink, J. Cordero, P. Parmar and A. Jiang, Error Correction for Hardware-Implemented Deep Neural Networks, to appear in Proc. Non-Volatile Memories Workshop (NVMW), La Jolla, CA, March 2019. 

P. Upadhyaya, X. Yu, J. Mink, J. Cordero, P. Parmar and A. Jiang, Error Correction for Noisy Neural Networks, to appear in Proc. Information Theory and Applications (ITA) Workshop, San Diego, CA, February 2019. 

A. Jiang, P. Upadhyaya, Y. Wang, K. R. Narayanan, H. Zhou, J. Sima and J. Bruck, Efficient Assistance to LDPC Code-based Erasure Recovery in NVM Storage, to appear in Proc. Non-Volatile Memories Workshop (NVMW), San Diego, CA, March 2018.

P. Upadhyaya and A. Jiang, On LDPC Decoding with Natural Redundancy, in Proc. 55th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2017.

A. Jiang, P. Upadhyaya,Y. Li, K. Narayanan, H. Zhou, J. Sima, J. Bruck, Stopping Set Elimination for LDPC Codes , in Proc. 55th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2017.

A. Jiang, P. Upadhyaya, E. F. Haratsch and J. Bruck, Error Correction by Natural Redundancy for Long Term Storage, Proc. Non-Volatile Memories Workshop (NVMW), La Jolla, CA, March 2017.

P. Upadhyaya and A. Jiang, LDPC Decoding with Natural Redundancy, Proc. Non-Volatile Memories Workshop (NVMW), La Jolla, CA, March 2017.

A. Jiang, P. Upadhyaya, E. F. Haratsch and J. Bruck, Correcting Errors by Natural Redundancy, Proc. Information Theory and Applications (ITA) Workshop, San Diego, CA, February 2017.

S. Nair, P. Upadhyaya, and VM. Tom. "A Dynamic Offset Model based on Stop Line Detector Information." Procedia-Social and Behavioral Sciences 104 (2013): 487-496.