Publications
This section contains publications published by ISI over the past several decades.
2024
Real time detection and identification of fish quality using low-power multimodal artificial olfaction system
Sicheng Liu, Guoquan Sun, Xiang Ren, Yuxiang Qin
Talanta 279, 126601, 2024
Biased Bots: An Empirical Demonstration of How AI Bias Could Compromise Mental Healthcare
Adela Timmons, Kexin Feng, Kayla Carta, Sierra Walters, Grace Jumonville, Alyssa Carrasco, Gabrielle Freitag, Daniela Romero, Gayla Margolin, Shrikanth Narayanan, Jonathan Comer, Matthew Ahle
OSF, 2024
Emotion-aware speech popularity prediction: a use-case on TED talks
Dimitrios Sgouropoulos, Petros Mitseas, Sofia Eleftheriou, Theodoros Giannakopoulos, Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Athanasios Katsamanis, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …, 2024
ROBUSER: A robustness benchmark for Speech Emotion Recognition
Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Sofia Eleftheriou, Petros Mitseas, Dimitris Sgouropoulos, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
2024 12th International Conference on Affective Computing and Intelligent …, 2024
Demystifying Language Model Forgetting with Low-Rank Example Associations
Xisen Jin, Xiang Ren
arXiv preprint arXiv:2406.14026, 2024
Are Machines Better at Slow Thinking? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
The Twelfth International Conference on Learning Representations, 2024
Corrigendum: Using open-science workflow tools to produce SCEC CyberShake physics-based probabilistic seismic hazard models
Scott Callaghan, Philip J Maechling, Fabio Silva, Mei-Hui Su, Kevin R Milner, Robert W Graves, Kim B Olsen, Yifeng Cui, Karan Vahi, Albert Kottke, Christine A Goulet, Ewa Deelman, Thomas H Jordan, Yehuda Ben-Zion
Frontiers in High Performance Computing 2, 1497384, 2024
MoQ: Mixture-of-format Activation Quantization for Communication-efficient AI Inference System
Haonan Wang, Zeli Liu, Chao Fang, John Paul Walters, Stephen P Crago
NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms, 2024
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Anthony Beerel
The Twelfth International Conference on Learning Representations, 2024
A Quantum Monte Carlo Algorithm for arbitrary spin-1/2 Hamiltonians
Arman Babakhani, Itay Hen, Lev Barash
APS March Meeting Abstracts 2024, W58. 007, 2024
Merge/Space: A Security Testbed for Satellite Systems
M Patrick Collins, Alefiya Hussain, J Walters, Calvin Ardi, Chris Tran, Stephen Schwab
SpaceSec, 2024
Check for updates Modeling Cognitive Workload in Open-Source Communities via Simulation
Alexey Tregubov, Jeremy Abramson, Christophe Hauser, Alefiya Hussain, Jim Blythe
Multi-agent-based Simulation XXIV: 24th International Workshop, MABS 2023 …, 2024
Check for updates An Analytical Approximation of Simplicial Complex Distributions in Communication Networks
Ke Shen, Mayank Kejriwal
Complex Networks & Their Applications XII: Proceedings of The Twelfth …, 2024
BinHunter: A Fine-Grained Graph Representation for Localizing Vulnerabilities in Binary Executables*
Sima Arasteh, Jelena Mirkovic, Mukund Raghothaman, Christophe Hauser
2024 Annual Computer Security Applications Conference (ACSAC), 1062-1074, 2024
Development and Validation of a Deep Learning Algorithm to Automate Detection of Referable Glaucoma in a Safety Net Teleretinal Program
Haroon Rasheed, Sreenidhi Iyengar, Van Nguyen, Zhiwei Li, Aniket Kumar, Aidan Lee, Andrew Duong, Brandon Wong, Jeffrey Gluckstein, Kendra Hong, Kent Nguyen, Rahul Dhodapkar, Carl Kesselman, Lauren Daskivich, Michael Pazzani, Benjamin Y Xu
Investigative Ophthalmology & Visual Science 65 (7), 372-372, 2024
Learning Event Schema Temporally and Transmodally (LESTAT)
Marjorie Freedman, Alex Hedges, Yash Kankanampati, Jacob Lichtefeld, Jon May, Ralph Weischedel
2024
Developing Personalized Algorithms for Sensing Mental Health Symptoms in Daily Life
Adela Timmons, Abdullah Aman Tutul, Kleanthis Avramidis, Kayla Carta, Sierra Walters, Grace Jumonville, Alyssa Carrasco, Gabrielle Freitag, Daniela Romero, Matthew Ahle, Jonathan Comer, Shrikanth Narayanan
OSF, 2024
ISAC: An Interactive Hierarchical Interface for Efficient Structural Analysis and Vertex Search in Complex Networks
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
International Conference on Advances in Social Networks Analysis and Mining …, 2024
Navigating privacy patterns in the era of robotaxis
Ala'a Al-Momani, David Balenson, Zoltán Adám Mann, Sebastian Pape, Jonathan Petit, Christoph Bösch
2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 32-39, 2024