Publications
This section contains publications published by ISI over the past several decades.
2025
Mapping Labor Market Vulnerability in the Age of AI: Evidence from Job Postings and Patent Data
Eun Cheol Choi, Qingyu Cao, Qi Guan, Shengzhu Peng, Po-Yuan Chen, Luca Luceri
In the Companion Proceedings of ICWSM 2025, 2025
Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Michela Taufer, Rada Mihalcea, Matthew Turk, Dan Lopresti, Adam Wierman, Kevin Butler, Sven Koenig, David Danks, William Gropp, Manish Parashar, Yolanda Gil, Bill Regli, Rajmohan Rajaraman, David Jensen, Nadya Bliss, Mary Lou Maher
arXiv preprint arXiv:2506.14679, 2025
Spatial Regionalization: A Hybrid Quantum Computing Approach
Yunhan Chang, Amr Magdy, Federico M Spedalieri, Ibrahim Sabek
arXiv preprint arXiv:2506.18799, 2025
Hybrid Quantum-Classical Optimization for Bushy Join Trees
Hanwen Liu, Abhishek Kumar, Federico Spedalieri, Ibrahim Sabek
Proceedings of the 2nd Workshop on Quantum Computing and Quantum-Inspired …, 2025
Kaleidoscopic Teaming in Multi Agent Simulations
Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv preprint arXiv:2506.17514, 2025
Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population
Van Nguyen, Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Aniket Kumar, Hong Nguyen, Austin Bohner, Kyle Bolo, Rahul Dhodapkar, Jiun Do, Andrew T Duong, Jeffrey Gluckstein, Kendra Hong, Lucas L Humayun, Alanna James, Junhui Lee, Kent Nguyen, Brandon J Wong, Jose-Luis Ambite, Carl Kesselman, Lauren P Daskivich, Michael Pazzani, Benjamin Y Xu
Ophthalmology Science 5 (4), 100751, 2025
From Data to Decision: Data-Centric Infrastructure for Reproducible ML in Collaborative eScience
Zhiwei Li, Carl Kesselman, Tran Huy Nguyen, Benjamin Yixing Xu, Kyle Bolo, Kimberley Yu
arXiv preprint arXiv:2506.16051, 2025
External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
Basileal Imana, Zeyu Shen, John Heidemann, Aleksandra Korolova
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and …, 2025
Iris: integrated retinal functionality in image sensors
A Jaiswal, G Schwartz, AP Jacob, Z Yin, M ABDULLAH-AL KAISER
US Patent App. 19/046,353, 2025
Scalable photonic sram-based in-memory computing and tensor core
AP Jacob, A Jaiswal, S Sunder
US Patent App. 18/964,271, 2025
DIGMAPPER: A Modular System for Automated Geologic Map Digitization
Weiwei Duan, Michael P Gerlek, Steven N Minton, Craig A Knoblock, Fandel Lin, Theresa Chen, Leeje Jang, Sofia Kirsanova, Zekun Li, Yijun Lin, Yao-Yi Chiang
arXiv preprint arXiv:2506.16006, 2025
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
Mengqi Wang, Tiantian Feng, Shrikanth Narayanan
arXiv preprint arXiv:2506.20199, 2025
Better Language Model Inversion by Compactly Representing Next-Token Distributions
Murtaza Nazir, Matthew Finlayson, John X Morris, Xiang Ren, Swabha Swayamdipta
arXiv preprint arXiv:2506.17090, 2025
2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
Jiageng Zhu, Hanchen Xie, Jiazhi Li, Wael Abd-Almageed
arXiv preprint arXiv:2407.20553, 2024
Ethics and fairness for diabetes artificial intelligence
Jiazhi Li, Wael Abd-Almageed
Diabetes Digital Health, Telehealth, and Artificial Intelligence, 263-274, 2024
Poster: Security and Privacy Heterogeneous Environment for Reproducible Experimentation (SPHERE)
Jelena Mirkovic, David Balenson, Brian Kocoloski, Geoff Lawler, Chris Tran, Joseph Barnes, Yuri Pradkin, Terry Benzel, Srivatsan Ravi, Ganesh Sankaran, Alba Regalado, David Choffnes, Daniel Dubois, Luis Garcia
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A Beerel
arXiv preprint arXiv:2412.01118, 2024
What Makes Vision Transformers Robust Towards Bit-Flip Attack?
Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter Beerel
International Conference on Pattern Recognition, 424-438, 2024
A Joint Optimization of Buffer and Splitter Insertion for Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits
Robert S Aviles, Peter A Beerel
2024 IEEE 42nd International Conference on Computer Design (ICCD), 534-541, 2024
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
Jacob Huckelberry, Yuke Zhang, Allison Sansone, James Mickens, Peter A Beerel, Vijay Janapa Reddi
arXiv preprint arXiv:2411.07114, 2024