David Jin

According to our database, David Jin authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds.

David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion.

Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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 Document Ranking Signals for Improved Information Retrieval.

Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu

CoRR, 2023

2022

Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems.

David Jin, Niclas Kannengießer, Benjamin Sturm, Ali Sunyaev

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

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