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Bin Lei
Publications
- 2024
- [i13]Bin Lei, Le Chen, Caiwen Ding:
FlashVideo: A Framework for Swift Inference in Text-to-Video Generation. CoRR abs/2401.00869 (2024) - 2023
- [c35]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC 2023: 1-6 - [c34]Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao:
Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++. HPEC 2023: 1-7 - [i10]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR abs/2304.12214 (2023) - [i9]Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao:
Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++. CoRR abs/2307.07686 (2023) - [i8]Bin Lei, Pei-Hung Lin, Chunhua Liao, Caiwen Ding:
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought. CoRR abs/2308.08614 (2023) - [i7]Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding:
Towards Zero Memory Footprint Spiking Neural Network Training. CoRR abs/2308.08649 (2023) - [i5]Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, Caiwen Ding:
Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis. CoRR abs/2312.01022 (2023) - 2022
- [i4]Bin Lei, Shaoyi Huang, Caiwen Ding, Monika Filipovska:
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach. CoRR abs/2211.03033 (2022)
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