David Jin

According to our database, David Jin authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Privacy in Collaborative Deep Learning Systems: A Taxonomy and Archetypes.

Sascha Rank, David Jin, Scott Thiebes, Ali Sunyaev

ACM Comput. Surv., August, 2026

AAAC: Activation-Aware Adaptive Codebooks for 4-bit LLM Weight Quantization.

Beshr IslamBouli, David Jin

CoRR, May, 2026

2025

Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems.

David Jin, Alexis Montoison, Sungho Shin

CoRR, September, 2025

Collaborative Distributed Machine Learning.

David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev

ACM Comput. Surv., April, 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, April, 2025

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation.

David Jin, Qian Fu, Yuekang Li

Proceedings of the 2025 IEEE Security and Privacy, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CRISP: Object Pose and Shape Estimation with Test-Time Adaptation.

Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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