Boyan Gao

According to our database, Boyan Gao authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Aquila2 Technical Report.

Bo-Wen Zhang, Liangdong Wang, Jijie Li, Shuhao Gu, Xinya Wu, Zhengduo Zhang, Boyan Gao, Yulong Ao, Guang Liu

CoRR, 2024

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.

Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang

CoRR, 2024

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos.

Shreyank N. Gowda, Boyan Gao, David A. Clifton

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2022

Meta Mirror Descent: Optimiser Learning for Fast Convergence.

Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales

CoRR, 2022

Loss Function Learning for Domain Generalization by Implicit Gradient.

Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales

Proceedings of the International Conference on Machine Learning, 2022

2021

Searching for Robustness: Loss Learning for Noisy Classification Tasks.

Boyan Gao, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Clusteringwith Concrete K-Means.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clustering for Domain Adaptation.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Deep clustering with concrete k-means.

Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales

CoRR, 2019