Rui Li

30 papers A* 3A 1C 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs.
AAAI
Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2026 A* conf
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models.
AAAI
Young D. Kwon, Rui Li, Sijia Li, Da Li, Sourav Bhattacharya, Stylianos I. Venieris
2026 J jnl
Speculative Decoding with a Speculative Vocabulary.
CoRR
Miles Williams, Young D. Kwon, Rui Li, Alexandros Kouris, Stylianos I. Venieris
2025 J jnl
FedP
CoRR
Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2025 — conf
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference.
EMNLP (Findings)
Hao Mark Chen, Wayne Luk, Yiu Ka Fai Cedric, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
2025 J jnl
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models.
CoRR
Young D. Kwon, Rui Li, Sijia Li, Da Li, Sourav Bhattacharya, Stylianos I. Venieris
2024 J jnl
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference.
CoRR
Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
2024 A conf
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.
WACV
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024 J jnl
The Future of Consumer Edge-AI Computing.
IEEE Pervasive Comput.
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
2024 A* conf
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge.
ICML
Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo
2023 J jnl
TinyTrain: Deep Neural Network Training at the Extreme Edge.
CoRR
Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo
2023 J jnl
TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks.
Comput. Networks
Luyang Xu, Haoyu Liu, Junping Song, Rui Li, Yahui Hu, Xu Zhou, Paul Patras
2022 J jnl
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.
CoRR
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2022 J jnl
The Future of Consumer Edge-AI Computing.
CoRR
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
2022 J jnl
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks.
CoRR
Luyang Xu, Haoyu Liu, Junping Song, Rui Li, Yahui Hu, Xu Zhou, Paul Patras
2021 — conf
A Channel Coding Benchmark for Meta-Learning.
NeurIPS Datasets and Benchmarks
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 J jnl
A Channel Coding Benchmark for Meta-Learning.
CoRR
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021 J jnl
Inferring Facing Direction from Voice Signals.
CoRR
Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane
2020 J jnl
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs.
IEEE Access
Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras
2020 J jnl
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls.
IEEE Trans. Mob. Comput.
Rui Li, Paul Patras
2019 J jnl
Learning to Listen... On-Device: Present and future perspectives of on-device ASR.
GetMobile Mob. Comput. Commun.
Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane
2019 — —
Resource management in future mobile networks: from millimetre-wave backhauls to airborne access networks.
Rui Li
2018 J jnl
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls.
CoRR
Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson
2018 — conf
Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls.
MLN
Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson
2018 J jnl
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs.
CoRR
Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras
2018 J jnl
Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks.
SIGMETRICS Perform. Evaluation Rev.
Rui Li, Chaoyun Zhang, Paul Patras, Razvan Stanica, Fabrice Valois
2017 J jnl
Max-Min Fair Millimetre-Wave Backhauling.
CoRR
Rui Li, Paul Patras
2016 C conf
Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks.
WoWMoM
Gek Hong Sim, Rui Li, Cristina Cano, David Malone, Paul Patras, Joerg Widmer
2016 — conf
Transport protocols behaviour study in evolving mobile networks.
ISWCS
Rui Li, Mehrdad Shariat, Maziar M. Nekovee
2016 — conf
WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links.
HotWireless@MobiCom
Rui Li, Paul Patras