Yan Gao
Orcid: 0000-0001-7922-9788Affiliations:
- Flower Labs, Hamburg, Germany
- University of Cambridge, Department of Computer Science and Technology, Cambridge, UK
According to our database1,
Yan Gao
authored at least 25 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.
CoRR, June, 2025
CoRR, March, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
J. Mach. Learn. Res., 2023
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement.
CoRR, 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
2019
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
2018
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People.
CoRR, 2018