Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Li, Songchen"'
Autor:
Li, Songcheng, 1968
A study was undertaken to improve the signal quality and the resolution of the velocity profile for deep downhole seismic testing. Deep downhole testing is defined in this research as measurements below 225 m (750 ft). The study demonstrated that cur
Externí odkaz:
http://hdl.handle.net/2152/3916
Autor:
Yuan, Jiayi, Liu, Hongyi, Zhong, Shaochen, Chuang, Yu-Neng, Li, Songchen, Wang, Guanchu, Le, Duy, Jin, Hongye, Chaudhary, Vipin, Xu, Zhaozhuo, Liu, Zirui, Hu, Xia
Long context capability is a crucial competency for large language models (LLMs) as it mitigates the human struggle to digest long-form texts. This capability enables complex task-solving scenarios such as book summarization, code assistance, and man
Externí odkaz:
http://arxiv.org/abs/2407.01527
Autor:
Chuang, Yu-Neng, Li, Songchen, Yuan, Jiayi, Wang, Guanchu, Lai, Kwei-Herng, Yu, Leisheng, Ding, Sirui, Chang, Chia-Yuan, Tan, Qiaoyu, Zha, Daochen, Hu, Xia
Inspired by Large Language Models (LLMs), Time Series Forecasting (TSF), a long-standing task in time series analysis, is undergoing a transition towards Large Time Series Models (LTSMs), aiming to train universal transformer-based models for TSF. Ho
Externí odkaz:
http://arxiv.org/abs/2406.14045
Autor:
Li, Songchen
Publikováno v:
2012 9th International Conference on Fuzzy Systems & Knowledge Discovery; 1/ 1/2012, p785-791, 7p
Publikováno v:
2013 International Conference on Quality, Reliability, Risk, Maintenance & Safety Engineering (QR2MSE); 2013, p372-374, 3p
Autor:
Li, Songcheng
Thesis (Ph. D.)--University of Texas at Austin, 2008.
Vita. Includes bibliographical references.
Vita. Includes bibliographical references.