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Kelvin Lin
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2020 – today
- 2024
- [i7]Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh:
Behavioral Refinement via Interpolant-based Policy Diffusion. CoRR abs/2402.16075 (2024) - [i6]Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh:
Octopi: Object Property Reasoning with Large Tactile-Language Models. CoRR abs/2405.02794 (2024) - [i5]Ce Hao, Kelvin Lin, Siyuan Luo, Harold Soh:
Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting. CoRR abs/2406.09767 (2024) - 2023
- [i4]Tasbolat Taunyazov, Kelvin Lin, Harold Soh:
GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios. CoRR abs/2309.08887 (2023) - 2022
- [j4]Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris:
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. Mach. Learn. Sci. Technol. 3(4): 45011 (2022) - [i3]Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris:
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. CoRR abs/2205.07690 (2022) - 2021
- [j3]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:
GPU coprocessors as a service for deep learning inference in high energy physics. Mach. Learn. Sci. Technol. 2(3): 35005 (2021) - 2020
- [c2]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:
FPGAs-as-a-Service Toolkit (FaaST). H2RC@SC 2020: 38-47 - [i2]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:
GPU coprocessors as a service for deep learning inference in high energy physics. CoRR abs/2007.10359 (2020) - [i1]Dylan Sheldon 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:
FPGAs-as-a-Service Toolkit (FaaST). CoRR abs/2010.08556 (2020)
2000 – 2009
- 2004
- [j2]Kelvin Lin, Jean Jyh-Jiun Shann, Chung-Ping Chung:
Code compression by register operand dependency. J. Syst. Softw. 72(3): 295-304 (2004) - 2003
- [j1]Kelvin Lin, Chung-Ping Chung, Jean Jyh-Jiun Shann:
Compressing MIPS code by multiple operand dependencies. ACM Trans. Embed. Comput. Syst. 2(4): 482-508 (2003) - 2002
- [c1]Kelvin Lin, Jean Jyh-Jiun Shann, Chung-Ping Chung:
Code Compression by Register Operand Dependency. Interaction between Compilers and Computer Architectures 2002: 91-101
Coauthor Index
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