Kai-Xin Gao

According to our database, Kai-Xin Gao authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

Eigenvalue-Corrected Natural Gradient Based on a New Approximation.

Kai-Xin Gao, Zheng-Hai Huang, Xiaolei Liu, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu

Asia Pac. J. Oper. Res., February, 2023

2022

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kai-Xin Gao, Bing Han, Lin Zheng, Xiaobo Guo

CoRR, 2022

2021

HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation.

Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo

CoRR, 2021

A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.

Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.

Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EAdam Optimizer: How ε Impact Adam.

Wei Yuan, Kai-Xin Gao

CoRR, 2020