Boyan Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Unsupervised Learning

Fuzzy Clustering Algorithm

Domain Adaptation

Top Venues

Publications

Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR (2024)
Shreyank N. Gowda, Boyan Gao, David A. Clifton
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. FG (2024)
Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
Loss Function Learning for Domain Generalization by Implicit Gradient. ICML (2022)
Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR (2022)
Boyan Gao, Henry Gouk, Timothy M. Hospedales
Searching for Robustness: Loss Learning for Noisy Classification Tasks. CoRR (2021)
Boyan Gao, Henry Gouk, Timothy M. Hospedales
Searching for Robustness: Loss Learning for Noisy Classification Tasks. ICCV (2021)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clusteringwith Concrete K-Means. ICASSP (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep Clustering for Domain Adaptation. ICASSP (2020)
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
Deep clustering with concrete k-means. CoRR (2019)