Lu Yin
l.yin@tue.nl
Greetings! I’m Lu, now serving as a Postdoctoral fellow at Eindhoven University of Technology (TU/e), located in the beautiful Netherlands. Before that, I was a researcher interning at Google's NYC office.
I hold a Ph.D. degree in the data mining group in TU/e, where I was fortunate to be supervised by the esteemed Prof. Mykola Pechenizkiy and Dr. Vlado Menkovski . I obtained my master’s and bachelor’s degrees at the Harbin Institute of Technology.
My research interests include #AI Efficiency, #Model Sparsity, #Large Language Models, #AI for Science. Feel free to reach out if you’d like to discuss anything with me :)
News
| Oct, 2023 | [Paper] Check out our latest research on Large Language Models: (1) LLM pruning OWL (2) understanding the small magnitude in LLM JunkDNA hypothesis. My two favorite works this year 🔥. |
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| Jul, 2023 | [Intern] I am joining Google's NYC office as a researcher intern. |
| Jun, 2023 | [Paper] Two paper got accepted by ECML-PKDD 2023: Robust overfitting, RDebiased Sparse Training |
| Apr, 2023 | [Paper] One paper got accepted by ICML 2023: Large Kernal Distillation |
| Mar, 2023 | [Paper] Our paper Dynamic Sparsity Is Channel-Level Sparsity Learner got accepted by SNN Workshop 2023 as Spotlight |
| Nov, 2022 | [Paper] Our paper Lottery Pools got accepted by AAAI 2023 |
| Nov, 2022 | [Paper] Our paper Untrained GNNs Tickets receive the Best Paper Award from LoG 2022 |
| Sep, 2022 | [Talk] I was invited to give a talk about Model/supervision Efficency at Xu Lab in Carnegie Mellon University |
| May, 2022 | [Paper] Our paper Sup-tickets sparse training got accepted by UAI 2022 |
| Mar, 2022 | [Paper] 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  |