Kelvin Lin

According to our database, Kelvin Lin authored at least 14 papers between 2002 and 2025.

Collaborative distances:

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

2025

DISCO: Language-Guided Manipulation With Diffusion Policies and Constrained Inpainting.

Ce Hao, Kelvin Lin, Zhiwei Xue, Siyuan Luo, Harold Soh

IEEE Robotics Autom. Lett., October, 2025

Demonstrating the Octopi-1.5 Visual-Tactile-Language Model.

Samson Yu, Kelvin Lin, Harold Soh

CoRR, July, 2025

2024

Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting.

Ce Hao, Kelvin Lin, Siyuan Luo, Harold Soh

CoRR, 2024

Behavioral Refinement via Interpolant-based Policy Diffusion.

Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh

CoRR, 2024

GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps.

Tasbolat Taunyazov, Kelvin Lin, Harold Soh

Proceedings of the Robotics: Science and Systems XX, 2024

Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion.

Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh

Proceedings of the Robotics: Science and Systems XX, 2024

Octopi: Object Property Reasoning with Large Tactile-Language Models.

Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh

Proceedings of the Robotics: Science and Systems XX, 2024

2023

GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios.

Tasbolat Taunyazov, Kelvin Lin, Harold Soh

CoRR, 2023

2022

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml.

Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris

Mach. Learn. Sci. Technol., December, 2022

2021

GPU coprocessors as a service for deep learning inference in high energy physics.

Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Dylan S. Rankin, Natchanon Suaysom, Matt Trahms, Nhan Tran

Mach. Learn. Sci. Technol., 2021

2020

GPU coprocessors as a service for deep learning inference in high energy physics.

Jeffrey D. Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Natchanon Suaysom, Matt Trahms, Nhan Tran

CoRR, 2020

FPGAs-as-a-Service Toolkit (FaaST).

Dylan S. Rankin, Jeffrey D. Krupa, Philip C. Harris, Maria Acosta Flechas, Burt Holzman, Thomas Klijnsma, Kevin Pedro, Nhan Tran, Scott Hauck, Shih-Chieh Hsu, Matthew Trahms, Kelvin Lin, Yu Lou, Ta-Wei Ho, Javier M. Duarte, Mia Liu

Proceedings of the 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2020

2003

Compressing MIPS code by multiple operand dependencies.

Kelvin Lin, Chung-Ping Chung, Jean Jyh-Jiun Shann

ACM Trans. Embed. Comput. Syst., 2003

2002

Code Compression by Register Operand Dependency.

Kelvin Lin, Jean Jyh-Jiun Shann, Chung-Ping Chung

Proceedings of the 6th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-6 2002), 2002