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2020 – today
- 2025
[j1]David Jin
, Niclas Kannengießer, Sascha Rank, Ali Sunyaev:
Collaborative Distributed Machine Learning. ACM Comput. Surv. 57(4): 95:1-95:36 (2025)- [c5]Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone:
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. CVPR 2025: 11644-11653 - [c4]David Jin, Qian Fu, Yuekang Li:
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation. SP (Workshops) 2025: 278-282 - [i10]Ariel S. Kapusta, David Jin, Peter M. Teague, Robert A. Houston, Jonathan B. Elliott, Grace Y. Park, Shelby S. Holdren:
A Framework for the Assurance of AI-Enabled Systems. CoRR abs/2504.16937 (2025) - [i9]David Jin, Qian Fu, Yuekang Li:
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation. CoRR abs/2505.01065 (2025) - [i8]Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Ram Vasudevan, Maani Ghaffari, Luca Carlone:
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. CoRR abs/2506.00838 (2025) - [i7]David Jin, Alexis Montoison, Sungho Shin:
Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems. CoRR abs/2509.03015 (2025) - 2024
- [c3]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion. LREC/COLING 2024: 7556-7561 - [c2]David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone:
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. ICRA 2024: 4990-4997 - [i6]David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone:
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. CoRR abs/2402.10865 (2024) - [i5]Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Maani Ghaffari, Luca Carlone:
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. CoRR abs/2403.04712 (2024) - [i4]Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone:
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. CoRR abs/2412.01052 (2024) - 2023
- [i3]Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu:
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR abs/2305.14685 (2023) - [i2]David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev:
A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems. CoRR abs/2309.16584 (2023) - 2022
- [c1]David Jin, Niclas Kannengießer, Benjamin Sturm, Ali Sunyaev:
Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems. HICSS 2022: 1-10 - 2021
- [i1]Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar:
Physics-Informed Neural Operator for Learning Partial Differential Equations. CoRR abs/2111.03794 (2021)
2010 – 2019
- 2011
- [e3]David Jin, Sally Lin:
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 1, September 24-25, 2011, Guangzhou, China]. Advances in Intelligent and Soft Computing 104, Springer 2011, ISBN 978-3-642-23776-8 [contents] - [e2]David Jin, Sally Lin:
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 2, September 24-25, 2011, Guangzhou, China]. Advances in Intelligent and Soft Computing 105, Springer 2011, ISBN 978-3-642-23755-3 [contents] - [e1]David Jin, Sally Lin:
Advances in Computer Science, Intelligent System and Environment [Proceedings of CSISE 2011, Volume 3, September 24-25, 2011, Guangzhou, China]. Advances in Intelligent and Soft Computing 106, Springer 2011, ISBN 978-3-642-23752-2 [contents]
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