I am a Research Scientist in Artificial Intelligence working within the DistributedAI group and GenAI team at Samsung AI Centre in Cambridge, UK. My research is currently focused on efficient inference and fine-tuning of large language models and stable diffusion models in resource constrained environment. In the past years, I have worked on a number of different machine learning paradigms including meta-learning, few-shot learning, and federated learning, and applications of these in different domains such as vision recognition and wireless mobile communications.

Prior to Samsung AI, I obtained my PhD from the School of Informatics, University of Edinburgh in 2019. I was advised by Prof Paul Patras, and I remain a good friend of the Mobile Intelligence Lab.

News

Sept 2024: Served as a Technical Program Committee member for Design, Automation and Test in Europe Conference (DATE) 2025 Topic A6 Applications of Artificial Intelligence.
Sept 2024: Our paper TinyTrain won the Silver Samsung Best Paper Award 🎉.
July 2024: Attended ICML 2024 in Vienna, Austria to present our paper titled TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge.
June 2024: Our position paper on The Future of Consumer Edge-AI Computing has been accepted by IEEE Pervasive Computing. Pre-print.
May 2024: Our work in collaboration with Imperial College on Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference is now online. Led by Mark Hao Chen. Check out the demo and code.
Dec. 2023: Our paper on Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation by Royson Lee, Rui Li, Stylianos Venieris, Timothy Hospedales, Ferenc Huszár, and Nicholas Lane was accepted at IEEE/CVF WACV 2024. Pre-print.
Oct. 2021: Our paper titled A Channel Coding Benchmark for Meta-Learning is accepted at NeurIPS’21 Benchmarks Track.
Sep. 2021: Work with Yu-Lin Wei and Prof Romit Roy Choudhury of UIUC on Infering Human’s Facing Direction from Voice Signals is online.
Feb. 2021: Presented our recent work on A Channel Coding Benchmark for Meta-Learning at AAAI Workshop on Meta-Learning. Check out the paper, slides and poster.
Dec. 2020: Co-organised the 1st DistributedML workshop co-located with ACM CoNEXT.
May 2020: Co-authored a short position paper on on-device ASR.
Jan. 2020: Serving on the PC for GPC2020.
Jul. 2019: Participated IMC shadow PC in-person meeting at Queen Mary London.
May 2019: PhD done 🎓 Joining Samsung AI 👩🏻‍💻.
Nov. 2018: Very honoured to win the Best Student Paper at MLN’18 in Paris!
Jul. 2018: Incredibly honoured to receive the Brendan Murphy Memorial Prize at the 30th Next Generation Networking, Multi-Service Networks workshop (Coseners).