Boyan Gao

According to our database, Boyan Gao authored at least 25 papers between 2019 and 2026.

Collaborative distances:

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

2026

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence.

Sean Wu, Fredrik K. Gustafsson, Edward Phillips, Boyan Gao, Anshul Thakur, David A. Clifton

CoRR, April, 2026

From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation.

Jingkun Chen, Haoran Duan, Xiao Zhang, Boyan Gao, Vicente Grau, Jungong Han

IEEE Trans. Medical Imaging, March, 2026

Semantic Self-Distillation for Language Model Uncertainty.

Edward Phillips, Sean Wu, Boyan Gao, David A. Clifton

CoRR, February, 2026

Differential privacy for data sharing: evolution and full-lifecycle applications in generative AI.

Boyan Gao, Lichuan Wang, Yuan Yu, Aimin Yang

Comput. Networks, 2026

2025

Computing Strategic Responses to Non-Linear Classifiers.

Jack Geary, Boyan Gao, Henry Gouk

CoRR, November, 2025

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models.

Jijie Li, Li Du, Hanyu Zhao, Bowen Zhang, Liangdong Wang, Boyan Gao, Guang Liu, Yonghua Lin

CoRR, June, 2025

Optimization-Inspired Few-Shot Adaptation for Large Language Models.

Boyan Gao, Xin Wang, Yibo Yang, David A. Clifton

CoRR, May, 2025

From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation.

Jingkun Chen, Haoran Duan, Xiao Zhang, Boyan Gao, Tao Tan, Vicente Grau, Jungong Han

CoRR, April, 2025

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models.

Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Wanpeng Zhang, Haokun Lin, Guoqi Li, Jiajun Zhang

CoRR, February, 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, February, 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, February, 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, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Temporal Prompting All We Need For Limited Labeled Action Recognition?

Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiao-Bo Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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 Representation Space Guided Inversion.

Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu

CoRR, 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