Publications

This section contains publications published by ISI over the past several decades.

2024

Early detection of coffee leaf rust through convolutional neural networks trained on low-resolution images

Angelly Cabrera, Kleanthis Avramidis, Shrikanth Narayanan
arXiv preprint arXiv:2407.14737,  2024

Artificial intelligence to differentiate pediatric pseudopapilledema and true papilledema on fundus photographs

Melinda Y Chang, Gena Heidary, Shannon Beres, Stacy L Pineles, Eric D Gaier, Ryan Gise, Mark Reid, Kleanthis Avramidis, Mohammad Rostami, Shrikanth Narayanan, Pediatric Optic Nerve Investigator Group
Ophthalmology Science 4 (4), 100496,  2024

Scaling representation learning from ubiquitous ecg with state-space models

Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemysław Kazienko, Stanisław Saganowski, Shrikanth Narayanan
IEEE Journal of Biomedical and Health Informatics,  2024

Saliency analysis of eye tracking in children with cortical/cerebral visual impairment (CVI) enabled by machine learning

Melinda Chang, Kleanthis Avramidis, Rahul Sharma, Mark Borchert, Shrikanth Narayanan
Investigative Ophthalmology & Visual Science 65 (7), 1501-1501,  2024

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding

Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S Narayanan, Salman Avestimehr
arXiv preprint arXiv:2406.10318,  2024

Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling?

Tiantian Feng, Dimitrios Dimitriadis, Shrikanth Narayanan
arXiv preprint arXiv:2406.08800,  2024

Exploring speech foundation models for speaker diarization in child-adult dyadic interactions

Anfeng Xu, Kevin Huang, Tiantian Feng, Lue Shen, Helen Tager-Flusberg, Shrikanth Narayanan
arXiv preprint arXiv:2406.07890,  2024

Toward fully-end-to-end listened speech decoding from EEG signals

Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Kadiri, Shrikanth Narayanan
arXiv preprint arXiv:2406.08644,  2024

Machine-learning-based prediction of client distress from session recordings

Patty B Kuo, Michael J Tanana, Simon B Goldberg, Derek D Caperton, Shrikanth Narayanan, David C Atkins, Zac E Imel
Clinical Psychological Science 12 (3), 435-446,  2024

TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality

Tiantian Feng, Xuan Shi, Rahul Gupta, Shrikanth S Narayanan
arXiv preprint arXiv:2404.17983,  2024

TextEE: Benchmark, reevaluation, reflections, and future challenges in event extraction

Kuan-Hao Huang, I Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
Findings of the Association for Computational Linguistics ACL 2024, 12804-12825,  2024

Natural language processing

GS Thattai, Q Ping, F Niu, JJ Chengottusseriyil, P Rajagopal, Q Gao, ...
US Patent 11,978,437,  2024

Argument-Aware Approach To Event Linking

I Hsu, Zihan Xue, Nilay Pochh, Sahil Bansal, Premkumar Natarajan, Jayanth Srinivasa, Nanyun Peng
arXiv preprint arXiv:2403.15097,  2024

Alexa arena: A user-centric interactive platform for embodied ai

Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan
Advances in Neural Information Processing Systems 36,  2024

Predictive deletion of user input

R Prasad, SNP Vitaladevuni, P Natarajan
US Patent App. 18/322,918,  2024

Managing Resources in a DoD Space-based Agile/DevSecOps Program

Michael Orosz
Acquisition Research Program,  2024

Defense Civilian Training Corps (DCTC) Integrated Curriculum and Development Pilot-0 Implementation

George P Korfiatis, Michael Orosz, Dinesh Verma
Acquisition Research Program,  2024

RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking

Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee
arXiv preprint arXiv:2409.17458,  2024

Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis

Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman
arXiv preprint arXiv:2409.07710,  2024

Integrating Pre-Trained Language Model with Physical Layer Communications

Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, Jay Pujara
IEEE Transactions on Wireless Communications 23 (11), 17266-17278,  2024