Scholar
Lu Yin
Google Scholar ID: G4Xe1NkAAAAJ
Asst. Professor, CS@University of Surrey & Researcher Fellow, CS@TU/e
AI Efficiency
AI for Science
Robustness
LLM
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Citations & Impact
All-time
Citations
767
H-index
13
i10-index
15
Publications
20
Co-authors
19
list available
Contact
Email
l.yin@tue.nl
CV
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Publications
10 items
TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents
2026
Cited
0
W2T: LoRA Weights Already Know What They Can Do
2026
Cited
0
A Survey of Weight Space Learning: Understanding, Representation, and Generation
2026
Cited
0
SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
2026
Cited
0
Progressive Residual Warmup for Language Model Pretraining
2026
Cited
0
Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
2026
Cited
0
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis
2026
Cited
0
Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
2026
Cited
0
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Resume (English only)
Academic Achievements
Publication Chair for ICAIAgent 2026
Multiple papers accepted at top-tier conferences including NeurIPS (2023–2025), ICLR (2024–2025), ICML (2024–2025), ACL 2025, EMNLP 2024, BMVC (2024–2025), Interspeech 2024, etc.
Publications in journals such as Sustainable Cities and Society (IF=12) and Computers, Environment and Urban Systems
Awarded 144,000 GPU hours (NVIDIA A100) by EuroHPC
Received 10,000,000 credits (78,120 A100 GPU hours) from the Dutch Research Council (NWO)
Co-organizing CAI 2025 Workshops on LLM Stable Pretraining and Federated Optimization and Learning
Co-organizing NeurIPS 2024 Challenge: Edge-Device Large Language Model Competition
Background
Assistant Professor in the School of Computer Science and Electronic Engineering at the University of Surrey
Leads the Lightweight & Universal Machine Intelligence (LUMI) Lab
Long-term visitor and collaborator with the Visual Informatics Group (VITA) at UT Austin, led by Prof. Atlas Wang
Long-term visiting researcher at Eindhoven University of Technology (TU/e)
Research interests: Efficient and Scalable Foundation Models, Understanding and Enhancing LLMs, Interdisciplinary AI Applications
Co-authors
19 total
Shiwei Liu
ELLIS Institute Tübingen, MPI for Intelligent Systems, University of Oxford, CS@TU/e
Mykola Pechenizkiy
Eindhoven University of Technology
Zhangyang (Atlas) Wang
XTX Markets & University of Texas at Austin
Ajay Jaiswal
RS@Apple | Amazon Ph.D Fellow | UT Austin | IIT-KGP
Decebal Constantin Mocanu
Associate Professor in Machine Learning, University of Luxembourg, TU Eindhoven
Tianjin Huang
Asst. Professor, CS@University of Exeter & Researcher Fellow, CS@TU/e
Vlado Menkovski
Associate Professor, Eindhoven University of Technology
Tianlong Chen
Assistant Professor, CS@UNC Chapel Hill; Chief AI Scientist, hireEZ
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