Physics-Informed Neural Operator for Learning Partial Differential Equations. - Zongyi Li; Hongkai Zheng; Nikola B. Kovachki; David Jin; Haoxuan Chen; Burigede Liu; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2021)

Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems. - David Jin; Niclas Kannengießer; Benjamin Sturm; Ali Sunyaev (HICSS, 2022)

Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. - Shi Yu 001; Chenghao Fan; Chenyan Xiong; David Jin; Zhiyuan Liu 001; Zhenghao Liu 001 (CoRR, 2023)

A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems. - David Jin; Niclas Kannengießer; Sascha Rank; Ali Sunyaev (CoRR, 2023)

Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. - Shi Yu 001; Chenghao Fan; Chenyan Xiong; David Jin; Zhiyuan Liu 001; Zhenghao Liu 001 (LREC/COLING, 2024)

Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. - David Jin; Sushrut Karmalkar; Harry Zhang; Luca Carlone (ICRA, 2024)

GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. - Sangli Teng; Harry Zhang; David Jin; Ashkan Jasour; Maani Ghaffari; Luca Carlone (CoRR, 2024)

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. - Jingnan Shi; Rajat Talak; Harry Zhang; David Jin; Luca Carlone (CVPR, 2025)

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation. - David Jin; Qian Fu; Yuekang Li (SP (Workshops), 2025)

A Framework for the Assurance of AI-Enabled Systems. - Ariel S. Kapusta; David Jin; Peter M. Teague; Robert A. Houston; Jonathan B. Elliott; Grace Y. Park; Shelby S. Holdren (CoRR, 2025)

Collaborative Distributed Machine Learning. - David Jin; Niclas Kannengießer; Sascha Rank; Ali Sunyaev (ACM Comput. Surv., 2025)

Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. - Sangli Teng; Harry Zhang; David Jin; Ashkan Jasour; Ram Vasudevan; Maani Ghaffari; Luca Carlone (CoRR, 2025)