Rui Li
Rui Li
Samsung AI Center, Cambridge
Verified email at - Homepage
Cited by
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Driver behavior recognition via interwoven deep convolutional neural nets with multi-stream inputs
C Zhang, R Li, W Kim, D Yoon, P Patras
Ieee Access 8, 191138-191151, 2020
Network intrusion detection based on conditional Wasserstein generative adversarial network and cost-sensitive stacked autoencoder
G Zhang, X Wang, R Li, Y Song, J He, J Lai
IEEE access 8, 190431-190447, 2020
Max-min fair resource allocation in millimetre-wave backhauls
R Li, P Patras
IEEE Transactions on Mobile Computing 19 (8), 1879-1895, 2019
Transport protocols behaviour study in evolving mobile networks
R Li, M Shariat, M Nekovee
2016 International Symposium on Wireless Communication Systems (ISWCS), 456-460, 2016
Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks
GH Sim, R Li, C Cano, D Malone, P Patras, J Widmer
2016 IEEE 17th International Symposium on A World of Wireless, Mobile and …, 2016
Tinytrain: Deep neural network training at the extreme edge
YD Kwon, R Li, SI Venieris, J Chauhan, ND Lane, C Mascolo
arXiv preprint arXiv:2307.09988, 2023
Learning driven mobility control of airborne base stations in emergency networks
R Li, C Zhang, P Patras, R Stanica, F Valois
ACM SIGMETRICS Performance Evaluation Review 46 (3), 163-166, 2019
A channel coding benchmark for meta-learning
R Li, O Bohdal, R Mishra, H Kim, D Li, N Lane, T Hospedales
arXiv preprint arXiv:2107.07579, 2021
Learning to listen... on-device: Present and future perspectives of on-device asr
R Vipperla, S Ishtiaq, R Li, S Bhattacharya, I Leontiadis, ND Lane
GetMobile: Mobile Computing and Communications 23 (4), 5-9, 2020
The future of consumer edge-ai computing
S Laskaridis, SI Venieris, A Kouris, R Li, ND Lane
arXiv preprint arXiv:2210.10514, 2022
Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
R Li, C Zhang, P Cao, P Patras, JS Thompson
Machine Learning for Networking: First International Conference, MLN 2018 …, 2019
TransMUSE: Transferable traffic prediction in multi-service edge networks
L Xu, H Liu, J Song, R Li, Y Hu, X Zhou, P Patras
Computer Networks 221, 109518, 2023
Meta-learned kernel for blind super-resolution kernel estimation
R Lee, R Li, S Venieris, T Hospedales, F Huszár, ND Lane
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
Inferring facing direction from voice signals
YL Wei, R Li, A Mehrotra, RR Choudhury, N Lane
arXiv preprint arXiv:2109.13094, 2021
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
W Luk, KFC Yiu, R Li, K Mishchenko, SI Venieris, H Fan
arXiv preprint arXiv:2405.18628, 2024
Federated Learning Under Second-Order Data Heterogeneity
K Mishchenko, R Li, H Fan, S Venieris
Resource management in future mobile networks: from millimetre-wave backhauls to airborne access networks
R Li
The University of Edinburgh, 2019
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
YD Kwon, R Li, S Venieris, J Chauhan, ND Lane, C Mascolo
Forty-first International Conference on Machine Learning, 0
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