Publications

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

2023

Context-rich evaluation of machine common sense

Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M Mulvehill, Deborah L McGuinness
International Conference on Artificial General Intelligence, 167-176,  2023

A Lightweight Global Taxonomy Induction System for E-Commerce Concept Labels

Mayank Kejriwal, Ke Shen
Cyber Security and Social Media Applications, 99-114,  2023

Identifying and differentiating acknowledged scanners in network traffic

M Patrick Collins, Alefiya Hussain, Stephen Schwab
2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …,  2023

Let's Put the Science in eScience

Carl Kesselman, Robert Schuler, Ian Foster
2023 IEEE 19th International Conference on e-Science (e-Science), 1-3,  2023

Database Evolution, by Scientists, for Scientists: A Case Study

Robert E Schuler, Jitin Singla, Brinda Vallat, Kate L White, Helen M Berman, Carl Kesselman
2023 IEEE 19th International Conference on e-Science (e-Science), 1-10,  2023

Author Correction: MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

Jay Devine, Marta Vidal-García, Wei Liu, Amanda Neves, Lucas D Lo Vercio, Rebecca M Green, Heather A Richbourg, Marta Marchini, Colton M Unger, Audrey C Nickle, Bethany Radford, Nathan M Young, Paula N Gonzalez, Robert E Schuler, Alejandro Bugacov, Campbell Rolian, Christopher J Percival, Trevor Williams, Lee Niswander, Anne L Calof, Arthur D Lander, Axel Visel, Frank R Jirik, James M Cheverud, Ophir D Klein, Ramon Y Birnbaum, Amy E Merrill, Rebecca R Ackermann, Daniel Graf, Myriam Hemberger, Wendy Dean, Nils D Forkert, Stephen A Murray, Henrik Westerberg, Ralph S Marcucio, Benedikt Hallgrímsson
Scientific data 10 (1), 420,  2023

Boosting punctuation restoration with data generation and reinforcement learning

Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen
arXiv preprint arXiv:2307.12949,  2023

End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application

Camila Roa, Mats Rynge, Paula Olaya, Karan Vahi, Todd Miller, James Griffioen, Shelley Knuth, John Goodhue, David Hudak, Alana Romanella, Ricardo Llamas, Rodrigo Vargas, Miron Livny, Ewa Deelman, Michela Taufer
Proceedings of the IEEE/ACM 16th International Conference on Utility and …,  2023

Leveraging National Cyberinfrastructure for Earth Science

Ewa Deelman, Shelley L Knuth, Alan Chalker, Layla Freeborn, Vikram Gazula, John Goodhue, James Griffioen, David Hudak, Andrew Pasquale, Dylan Perkins, Alana Romanella, Joel Adams, Mats Rynge
AGU Fall Meeting Abstracts 2023 (525), U53B-0525,  2023

ACCESS Pegasus: Bringing Workflows to the ACCESS Masses

Mats Rynge, Karan Vahi, Mohammad Zaiyan Alam, Ewa Deelman, Todd Miller, Miron Livny, Shelley Knuth, James Griffioen, John Goodhue, David Hudak, Julie Ma, Andrew Pasquale, Lissie Fein
Practice and Experience in Advanced Research Computing, 478-480,  2023

Safer-instruct: Aligning language models with automated preference data

Taiwei Shi, Kai Chen, Jieyu Zhao
NAACL 2024,  2023

RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation

Shuai Liu, Hyundong J Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May
ACL 2023,  2023

Continual Dialogue State Tracking via Example-Guided Question Answering

Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar
EMNLP 2023,  2023

Analyzing Norm Violations in Live-Stream Chat

Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
EMNLP 2023,  2023

Transfer learning with prior data-driven models from multiple unconventional fields

Jodel Cornelio, Syamil Mohd Razak, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Journal 28 (05), 2385-2414,  2023

Physics-guided deep learning for improved production forecasting in unconventional reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Journal 28 (05), 2425-2447,  2023

Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Western Regional Meeting, D021S004R002,  2023

Neural Network-Assisted Clustering for Improved Production Predictions in Unconventional Reservoirs

Jodel Cornelio, Syamil Mohd Razak, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Western Regional Meeting, D021S004R001,  2023

A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
SPE Middle East Oil and Gas Show and Conference, D021S084R005,  2023