Lu Yin ;


Greetings! I’m Lu, an Assistant Professor in the School of Computer Science and Electronic Engineering at the University of Surrey, and a long-term visiting researcher at Eindhoven University of Technology (TU/e).

Previously, I was an Assistant Professor at the University of Aberdeen. I also served as a Postdoctoral Fellow at TU/e and worked as a research scientist/intern at Google's NYC office.

My research interests include:

  • #AI Efficiency
  • #AI for Science
  • #Large Language Models

Feel free to reach out if you’d like to discuss anything with me :)


Jun, 2024 [Interspeech 2024×2] 🔥 We got TWO paper, in collaboration with Meta London, on Efficient Audio-Visual Speech Recognition have been accepted at Interspeech 2024.
Jun, 2024 [NeurIPS Challenge] 🔥 Our NeurIPS 2024 challenge proposal Edge-Device Large Language Model Competition has been accepted!
May, 2024 [ICML 2024×3] 🔥 We got THREE paper accepted at ICML 2024: (1) LLM pruning OWL (with Google Research) (2) understanding the small magnitude in LLM JunkDNA hypothesis (with Intel Research). (3) Bi-lever sparse training optimization. .
Jan, 2024 [ICLR 2024] One paper got accepted by ICLR 2024
Jan, 2024 [Takl CityU] Honored to be invited to give a talk about The Power of Model Sparsity at Multimedia Analytics (MA) Laboratory in City University of Hong Kong.
Dec, 2023 [CPAL 2024×3] Three papers got accpeted in CPAL at spotlight track
Dec, 2023 [Grant: NWO] We have been awarded 10,000,000 credits for the use of NVIDIA A100 GPUs, totaling 78,120 hours. Our sincere thanks go to NWO.
Jul, 2023 [Neurips 2023] One paper got accepted by Neurips 2023: Dynamic Sparsity Is Channel-Level Sparsity Learner
Jul, 2023 [Intern: Google] I am joining Google's NYC office as a researcher intern.
Jun, 2023 [ECML 2023×2] Two paper got accepted by ECML-PKDD 2023: Robust overfitting, RDebiased Sparse Training
Apr, 2023 [ICML 2023] One paper got accepted by ICML 2023: Large Kernel Distillation
Nov, 2022 [AAAI 2023] Our paper Lottery Pools got accepted by AAAI 2023
Nov, 2022 [LoG 2022 BEST PAPER] Our paper Untrained GNNs Tickets receive the Best Paper Award from LoG 2022
Sep, 2022 [Talk: CMU] I was invited to give a talk about Model/supervision Efficency at Xu Lab in Carnegie Mellon University
May, 2022 [UAI 2022] Our paper Sup-tickets sparse training got accepted by UAI 2022
Mar, 2022 [IDA 2022] Our paper is accpeted by IDA 2022, which was also the first conference (symposium) that I have attended in the first year of my PhD. Life is like a cycle :smile: