David Jin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Machine Learning Systems

Document Ranking

Quantitative Measures

Top Venues

Publications

David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. CoRR (2024)
David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. ICRA (2024)
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)
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Maani Ghaffari, Luca Carlone
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. CoRR (2024)
Shi Yu, Chenghao Fan, Chenyan Xiong, David Jin, Zhiyuan Liu, Zhenghao Liu
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval. CoRR (2023)
David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev
A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems. CoRR (2023)
David Jin, Niclas Kannengießer, Benjamin Sturm, Ali Sunyaev
Tackling Challenges of Robustness Measures for Autonomous Agent Collaboration in Open Multi-Agent Systems. HICSS (2022)
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 (2021)