Deep clustering with concrete k-means. - Boyan Gao; Yongxin Yang; Henry Gouk; Timothy M. Hospedales (CoRR, 2019)

Deep Clustering for Domain Adaptation. - Boyan Gao; Yongxin Yang; Henry Gouk; Timothy M. Hospedales (ICASSP, 2020)

Deep Clusteringwith Concrete K-Means. - Boyan Gao; Yongxin Yang; Henry Gouk; Timothy M. Hospedales (ICASSP, 2020)

Searching for Robustness: Loss Learning for Noisy Classification Tasks. - Boyan Gao; Henry Gouk; Timothy M. Hospedales (ICCV, 2021)

Loss Function Learning for Domain Generalization by Implicit Gradient. - Boyan Gao; Henry Gouk; Yongxin Yang; Timothy M. Hospedales (ICML, 2022)

Meta Mirror Descent: Optimiser Learning for Fast Convergence. - Boyan Gao; Henry Gouk; Haebeom Lee; Timothy M. Hospedales (CoRR, 2022)

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. - Shreyank N. Gowda; Boyan Gao; David A. Clifton (FG, 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)

Aquila2 Technical Report. - Bo-Wen Zhang 011; Liangdong Wang; Jijie Li; Shuhao Gu; Xinya Wu; Zhengduo Zhang; Boyan Gao; Yulong Ao; Guang Liu 006 (CoRR, 2024)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion. - Chenqi Li; Boyan Gao; Gabriel Davis Jones; Timothy Denison; Tingting Zhu (CoRR, 2024)

Cognition Chain for Explainable Psychological Stress Detection on Social Media. - Xin Wang; Boyan Gao; Yi Dai; Lei Cao; Liang Zhao; Yibo Yang; David A. Clifton (CoRR, 2024)

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion. - Chenqi Li; Boyan Gao; Gabriel Davis Jones; Timothy Denison; Tingting Zhu (AAAI, 2025)

Is Temporal Prompting All We Need For Limited Labeled Action Recognition? - Shreyank N. Gowda; Boyan Gao; Xiao Gu 003; Xiao-Bo Jin (CVPR Workshops, 2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. - Xingrun Xing; Boyan Gao; Zheng Liu; David A. Clifton; Shitao Xiao; Wanpeng Zhang 002; Li Du; Zheng Zhang; Guoqi Li; Jiajun Zhang (ICLR, 2025)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. - Boyan Gao; Bo Zhao; Shreyank N. Gowda; Xingrun Xing; Yibo Yang; Timothy M. Hospedales; David A. Clifton (CoRR, 2025)

Exploring the latent space of diffusion models directly through singular value decomposition. - Li Wang; Boyan Gao; Yanran Li; Zhao Wang; Xiaosong Yang; David A. Clifton; Jun Xiao (CoRR, 2025)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. - Xingrun Xing; Zheng Liu; Shitao Xiao; Boyan Gao; Yiming Liang; Wanpeng Zhang 002; Haokun Lin; Guoqi Li; Jiajun Zhang (CoRR, 2025)

From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation. - Jingkun Chen; Haoran Duan 001; Xiao Zhang; Boyan Gao; Tao Tan 002; Vicente Grau; Jungong Han (CoRR, 2025)

Optimization-Inspired Few-Shot Adaptation for Large Language Models. - Boyan Gao; Xin Wang; Yibo Yang; David A. Clifton (CoRR, 2025)

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models. - Jijie Li; Li Du; Hanyu Zhao; Bowen Zhang 011; Liangdong Wang; Boyan Gao; Guang Liu 006; Yonghua Lin (CoRR, 2025)