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ORCIDYan Gao 0016
Person information
- affiliation: Flower Labs, Hamburg, Germany
- affiliation: University of Cambridge, Department of Computer Science and Technology, Cambridge, UK
Other persons with the same name
- Yan Gao — disambiguation page
- Yan Gao 0001 — Northeastern University, Shenyang, China
- Yan Gao 0002 — Microsoft Research Asia, Beijing, China
- Yan Gao 0003 — Northwestern University, Evanston, IL, USA
- Yan Gao 0004 — East China Normal University, School of Computer Science and Technology, Software Engineering Institute, Shanghai, China (and 1 more)
- Yan Gao 0005
![[0000-0002-0206-2833]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0206-2833")
— Zhengzhou Institute of Information Science and Technology, Zhengzhou, China - Yan Gao 0006 — Clarkson University, Potsdam, NY, USA
- Yan Gao 0007 — Nanjing College of Information Technology, Nanjing, China
- Yan Gao 0008 — Guizhou Normal University, Guiyang, China
- Yan Gao 0009 — Qilu University of Technology, Jinan, China
- Yan Gao 0010 — LinkedIn, Mountain View, CA, USA (and 2 more)
- Yan Gao 0011 — South China University of Technology, Guangzhou, China
- Yan Gao 0013 — Chinese Academy of Sciences, Institute of Acoustics, Beijing, China
- Yan Gao 0014 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, Shaanxi, China
- Yan Gao 0015 — Hefei University of Technology, Hefei, China
- Yan Gao 0017 — Xiaohongshu Inc., Beijing, China (and 2 more)
- Yan Gao 0018 — Tiangong University, School of Control Science and Engineering, Tianjin, China (and 1 more)
- Yan Gao 0019 — University of Shanghai for Science and Technology, School of Business, Shanghai, China (and 1 more)
- Yan Gao 0020 — Changchun University of Science and Technology, School of Mechanical and Electrical Engineering, Changchun, China
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2020 – today
- 2025
[c10]Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane:
DEPT: Decoupled Embeddings for Pre-training Language Models. ICLR 2025- [i21]Ting Dang, Yan Gao, Hong Jia:
Scaling Auditory Cognition via Test-Time Compute in Audio Language Models. CoRR abs/2503.23395 (2025) - [i20]Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane:
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR abs/2506.02961 (2025) - [i19]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. CoRR abs/2507.03003 (2025) - 2024
- [c9]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR 2024 - [c8]Mohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan:
Privacy-Preserving Federated Learning using Flower Framework. KDD 2024: 6422-6423 - [i18]Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane:
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR abs/2402.10191 (2024) - [i17]Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane:
The Future of Large Language Model Pre-training is Federated. CoRR abs/2405.10853 (2024) - [i16]Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane:
DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR abs/2410.05021 (2024) - [i15]Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane:
Photon: Federated LLM Pre-Training. CoRR abs/2411.02908 (2024) - 2023
- [j4]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24: 129:1-129:23 (2023) - [c7]Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane:
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV 2023: 16418-16427 - [i14]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023) - [i13]Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane:
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR abs/2307.07393 (2023) - 2022
- [c6]Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. ECCV (31) 2022: 506-522 - [c5]Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP 2022: 7227-7231 - [c4]Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR 2022 - [c3]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022: 3809-3813 - [c2]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT 2022: 115-122 - [i12]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? CoRR abs/2204.02804 (2022) - [i11]Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. CoRR abs/2207.01975 (2022) - [i10]Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR abs/2208.02507 (2022) - [i9]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR abs/2209.15575 (2022) - [i8]Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales:
Federated Learning for Inference at Anytime and Anywhere. CoRR abs/2212.04084 (2022) - 2021
- [j3]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
Can You See It?: Good, So We Can Sense It! GetMobile Mob. Comput. Commun. 25(2): 38-42 (2021) - [c1]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. ASRU 2021: 138-145 - [i7]Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. CoRR abs/2104.03042 (2021) - [i6]Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. CoRR abs/2104.14297 (2021) - [i5]Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio:
SpeechBrain: A General-Purpose Speech Toolkit. CoRR abs/2106.04624 (2021) - 2020
- [j2]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz:
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 87:1-87:29 (2020) - [i4]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. CoRR abs/2005.09310 (2020) - [i3]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition. CoRR abs/2006.05675 (2020)
2010 – 2019
- 2019
- [j1]Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 12:1-12:22 (2019) - [i2]Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. CoRR abs/1902.08068 (2019) - 2018
- [i1]BingZhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz:
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. CoRR abs/1811.10493 (2018)
Coauthor Index
aka: Pedro P. B. de Gusmao
aka: Nicholas Donald Lane
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last updated on 2025-08-21 01:56 CEST by the dblp team
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