Publications

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

2025

Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X

Valeria Pantè, David Axelrod, Alessandro Flammini, Filippo Menczer, Emilio Ferrara, Luca Luceri
In the Proceedings of The Web Conference 2025,  2025

Prevalence, Sharing Patterns, and Spreaders of Multimodal AI-Generated Content on X during the 2024 US Presidential Election

Zhiyi Chen, Jinyi Ye, Emilio Ferrara, Luca Luceri
arXiv preprint arXiv:2502.11248,  2025

A Critical Review of Predominant Bias in Neural Networks

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E Hussein, Wael AbdAlmageed
arXiv preprint arXiv:2502.11031,  2025

NeuroDISK: An AI Approach to Automate Continuous Inquiry-Driven Discoveries in Neuroimaging Genetics

Daniel Garijo, Qifan Yang, Hernan Vargas, Shruti P Gadewar, Kevin Low, Varun Ratnakar, Maximiliano Osorio, Alyssa H Zhu, Agnes McMahon, Yolanda Gil, Neda Jahanshad
bioRxiv.02. 14.638360,  2025

Comparison of Deep Learning and Clinician Performance 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, 100751,  2025

Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning

Cole Gawin, Yidan Sun, Mayank Kejriwal
arXiv preprint arXiv:2502.14086,  2025

High-performance computing at a crossroads

Ewa Deelman, Jack Dongarra, Bruce Hendrickson, Amanda Randles, Daniel Reed, Edward Seidel, Katherine Yelick
Science 387 (6736), 829-831,  2025

K-Edit: Language Model Editing with Contextual Knowledge Awareness

Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
arXiv preprint arXiv:2502.10626,  2025

Optical half-adder and averaging data channels using nonlinear wave mixing

A Minoofar, JL Habif, H Song, AE Willner, K Zou
US Patent App. 18/807,683,  2025

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
arXiv preprint arXiv:2502.17422,  2025

Efficient Privacy-Preserving Federated Learning With Selective Parameter Encryption

Weizhao Jin, Yuhang Yao, Shanshan Han, Jiajun Gu, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
openreview.net,  2025

Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking

Alireza S Ziabari, Nona Ghazizadeh, Zhivar Sourati, Farzan Karimi-Malekabadi, Payam Piray, Morteza Dehghani
arXiv preprint arXiv:2502.12470,  2025

AIDE: Agentically Improve Visual Language Model with Domain Experts

Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu
arXiv preprint arXiv:2502.09051,  2025

Language Models Can Predict Their Own Behavior

Dhananjay Ashok, Jonathan May
arXiv preprint arXiv:2502.13329,  2025

Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL

Wichayaporn Wongkamjan, Yanze Wang, Feng Gu, Denis Peskoff, Jonathan K Kummerfeld, Jonathan May, Jordan Lee Boyd-Graber
arXiv preprint arXiv:2502.12436,  2025

Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and Applications

Tamoghna Chattopadhyay, Chirag Jagad, Rudransh Kush, Vraj Dharmesh Desai, Sophia I Thomopoulos, Julio E Villalon-Reina, Jose Luis Ambite, Greg Ver Steeg, Paul M Thompson
bioRxiv.02. 21.639511,  2025

Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection

Eun Cheol Choi, Ashwin Balasubramanian, Jinhu Qi, Emilio Ferrara
arXiv preprint arXiv:2503.02328,  2025

Attention-Driven Causal Discovery: From Transformer Matrices to Granger Causal Graphs for Non-Stationary Time-series Data

Jiageng Zhu, Kehao Li, Zheda Mai, Hanchen Xie, Wael AbdAlmageed, Zubin Abraham
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …,  2025

Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers

Gourav Datta, Zeyu Liu, Anni Li, Peter A Beerel
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …,  2025

A TRAP for SAT: On the Imperviousness of a Transistor-Level Programmable Fabric to Satisfiability-Based Attacks

Aric Fowler, Shayan Mohammed, Mustafa Shihab, Thomas Broadfoot, Peter Beerel, Carl Sechen, Yiorgos Makris
IACR Transactions on Cryptographic Hardware and Embedded Systems 2025 (2 …,  2025