Guangyu Song

According to our database, Guangyu Song authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu

CoRR, 2024

2023

Statistical inference for case-cohort design under the additive hazards model with covariate adjustment.

Yingli Pan, Guangyu Song, Zhan Liu

Commun. Stat. Simul. Comput., October, 2023

Weighted expectile regression with covariates missing at random.

Yingli Pan, Zhan Liu, Guangyu Song

Commun. Stat. Simul. Comput., March, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Outlier detection under a covariate-adjusted exponential regression model with censored data.

Yingli Pan, Zhan Liu, Guangyu Song

Comput. Stat., 2021

2020

Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model.

Yingli Pan, Songlin Liu, Yanli Zhou, Guangyu Song

Complex., 2020