David Jin

19 papers A* 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Framework for the Assurance of AI-Enabled Systems.
CoRR
Ariel S. Kapusta, David Jin, Peter M. Teague, Robert A. Houston, Jonathan B. Elliott, Grace Y. Park, Shelby S. Holdren
2025 A* conf
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation.
CVPR
Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone
2025 J jnl
Collaborative Distributed Machine Learning.
ACM Comput. Surv.
David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev
2025 — conf
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation.
SP (Workshops)
David Jin, Qian Fu, Yuekang Li
2025 J jnl
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation.
CoRR
David Jin, Qian Fu, Yuekang Li
2025 J jnl
Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems.
CoRR
David Jin, Alexis Montoison, Sungho Shin
2025 J jnl
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise.
CoRR
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Ram Vasudevan, Maani Ghaffari, Luca Carlone
2024 J jnl
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation.
CoRR
Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone
2024 — conf
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion.
LREC/COLING
Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu
2024 J jnl
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise.
CoRR
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Maani Ghaffari, Luca Carlone
2024 A* conf
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds.
ICRA
David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
2024 J jnl
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds.
CoRR
David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
2023 J jnl
A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems.
CoRR
David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev
2023 J jnl
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval.
CoRR
Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu
2022 — conf
Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems.
HICSS
David Jin, Niclas Kannengießer, Benjamin Sturm, Ali Sunyaev
2021 J jnl
Physics-Informed Neural Operator for Learning Partial Differential Equations.
CoRR
Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
2011 — ed.
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 1, September 24-25, 2011, Guangzhou, China]
CSISE (1)
David Jin, Sally Lin
2011 — ed.
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 2, September 24-25, 2011, Guangzhou, China]
CSISE (2)
David Jin, Sally Lin
2011 — ed.
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 3, September 24-25, 2011, Guangzhou, China]
CSISE (3)
David Jin, Sally Lin