Wei Li

Orcid: 0000-0002-4776-5911

Affiliations:
  • University of Birmingham, Birmingham, UK


According to our database1, Wei Li authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.
CoRR, June, 2025

MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Delta Decompression for MoE-based LLMs Compression.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

AIRA: Activation-Informed Low-Rank Adaptation for Large Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Efficient Fine-Tuning of Large Models Via Nested Low-Rank Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021


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