Publications
This section contains publications published by ISI over the past several decades.
2022
Towards the automated large-scale reconstruction of past road networks from historical maps
Johannes H Uhl, Stefan Leyk, Yao-Yi Chiang, Craig A Knoblock
Computers, environment and urban systems 94, 101794, 2022
Sand: A tool for creating semantic descriptions of tabular sources
Binh Vu, Craig A Knoblock
European Semantic Web Conference, 63-67, 2022
Parameter-Efficient Tuning with Special Token Adaptation
Xiaoocong Yang, James Y Huang, Wenxuan Zhou, Muhao Chen
EACL 2023, 2022
Unified Semantic Typing with Meaningful Label Inference
James Y Huang, Bangzheng Li, Jiashu Xu, Muhao Chen
NAACL 2022, 2022
The disinformation dozen: An exploratory analysis of covid-19 disinformation proliferation on twitter
Gianluca Nogara, Padinjaredath Suresh Vishnuprasad, Felipe Cardoso, Omran Ayoub, Silvia Giordano, Luca Luceri
Proceedings of the 14th ACM Web Science Conference 2022, 348-358, 2022
Artificial intelligence and cardiovascular risk prediction: all that glitters is not gold
Mauro Chiarito, Luca Luceri, Angelo Oliva, Giulio Stefanini, Gianluigi Condorelli
European Cardiology Review 17, 2022
An automated Cryo-EM computational environment on the HPC system using Pegasus WMS
Tomasz Osinski, Mats Rynge, James K Hong, Karan Vahi, Ruilin Chu, Cesar Sul, Ewa Deelman, Byoung-Do Kim
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS …, 2022
Novel proposals for FAIR, automated, recommendable, and robust workflows
Ishan Abhinit, Emily K Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Rob Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS …, 2022
Reproducibility of the first image of a black hole in the Galaxy M87 from the Event Horizon Telescope Collaboration
Ria Patel, Brandan Roachell, Silvina Caino-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A Brown, Ewa Deelman, Michela Taufer
Computing in Science & Engineering 24 (5), 42-52, 2022
Theme Articles
Addi Malviya-Thakur, David E Bernholdt, William F Godoy, Gregory R Watson, Mathieu Doucet, Mark A Coletti, David M Rogers, Marshall McDonnell, Jay Jay Billings, Barney Maccabe, Ian A Cosden, Ritu Arora, Keith Beattie, Sarah E Bratt, Daniel S Katz, Ignacio Laguna, Amiya K Maji, Rafael M Mudafort, Nitin Sukhija, Damian Rouson, Cindy Rubio-González, Karan Vahi
Masthead 3, 64, 2022
Giving research software engineers a larger stage through the better scientific software fellowship
William F Godoy, Ritu Arora, Keith Beattie, David E Bernholdt, Sarah E Bratt, Daniel S Katz, Ignacio Laguna, Amiya K Maji, Addi Malviya-Thakur, Rafael M Mudafort, Nitin Sukhija, Damian Rouson, Cindy Rubio-González, Karan Vahi
Computing in Science & Engineering 24 (5), 6-13, 2022
Modeling Data Integrity Threats for Scientific Workflows Using OSCRP and MITRE ATT&CK
Ishan Abhinit, Emily K Adams, Brian Chase, Anirban Mandal, Yufeng Xin, Karan Vahi, Mats Rynge, Ewa Deelman
Accelerating scientific workflows on HPC platforms with in situ processing
Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022
Data Integrity Error Localization in Networked Systems with Missing Data
Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman
ICC 2022-IEEE International Conference on Communications, 341-346, 2022
Epidemiologic characteristics and prediction of incidence trend of all types of influenza based on ARIMA MODEL.
Hao-yun Dai, Nan Zhou, Xiang Ren, Piao-yi Luo, Shang-hui Yi, Mei-fang Quan, Wen-ting Zha, Yuan Lyu
Contrastive novelty-augmented learning: Anticipating outliers with large language models
Albert Xu, Xiang Ren, Robin Jia
arXiv preprint arXiv:2211.15718, 2022
Pinto: Faithful language reasoning using prompt-generated rationales
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
arXiv preprint arXiv:2211.01562, 2022
XMD: An end-to-end framework for interactive explanation-based debugging of NLP models
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
arXiv preprint arXiv:2210.16978, 2022
MMGA: Multimodal Learning with Graph Alignment
Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang
arXiv preprint arXiv:2210.09946, 2022
REV: Information-theoretic evaluation of free-text rationales
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
arXiv preprint arXiv:2210.04982, 2022