Rui Li

According to our database, Rui Li authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.

Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks.

Luyang Xu, Haoyu Liu, Junping Song, Rui Li, Yahui Hu, Xu Zhou, Paul Patras

Comput. Networks, February, 2023

TinyTrain: Deep Neural Network Training at the Extreme Edge.

Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo

CoRR, 2023

2022

The Future of Consumer Edge-AI Computing.

Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane

CoRR, 2022

TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks.

Luyang Xu, Haoyu Liu, Junping Song, Rui Li, Yahui Hu, Xu Zhou, Paul Patras

CoRR, 2022

2021

Inferring Facing Direction from Voice Signals.

Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane

CoRR, 2021

A Channel Coding Benchmark for Meta-Learning.

Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls.

Rui Li, Paul Patras

IEEE Trans. Mob. Comput., 2020

Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs.

Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras

IEEE Access, 2020

2019

Resource management in future mobile networks: from millimetre-wave backhauls to airborne access networks.

Rui Li

PhD thesis, 2019

Learning to Listen... On-Device: Present and future perspectives of on-device ASR.

Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane

GetMobile Mob. Comput. Commun., 2019

2018

Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks.

Rui Li, Chaoyun Zhang, Paul Patras, Razvan Stanica, Fabrice Valois

SIGMETRICS Perform. Evaluation Rev., 2018

Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls.

Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson

Proceedings of the Machine Learning for Networking - First International Conference, 2018

2017

Max-Min Fair Millimetre-Wave Backhauling.

Rui Li, Paul Patras

CoRR, 2017

2016

Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks.

Gek Hong Sim, Rui Li, Cristina Cano, David Malone, Paul Patras, Joerg Widmer

Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links.

Rui Li, Paul Patras

Proceedings of the 3rd Workshop on Hot Topics in Wireless, 2016

Transport protocols behaviour study in evolving mobile networks.

Rui Li, Mehrdad Shariat, Maziar M. Nekovee

Proceedings of the International Symposium on Wireless Communication Systems, 2016