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Wei Huang

Affiliations:
  • University of Science and Technology Beijing, Beijing, China
  • Ant Group, China (former)


According to our database1, Wei Huang authored at least 10 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning.
[BibTeX]
[DOI]
Wei Huang
,
Anda Cheng
,
Yinggui Wang
,
Lei Wang
,
Tao Wei
Proc. VLDB Endow., January, 2026

GradPruner: Gradient-Guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs.
[BibTeX]
[DOI]
Wei Huang
,
Anda Cheng
,
Yinggui Wang
CoRR, January, 2026

2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression.
[BibTeX]
[DOI]
Wei Huang
,
Huang Wei
,
Yinggui Wang
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment.
[BibTeX]
[DOI]
Wei Huang
,
Anda Cheng
,
Zhao Zhang
,
Yinggui Wang
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning.
[BibTeX]
[DOI]
Wei Huang
,
Anda Cheng
,
Yinggui Wang
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization.
[BibTeX]
[DOI]
Anda Cheng
,
Wei Huang
,
Yinggui Wang
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
A Fast, Performant, Secure Distributed Training Framework For Large Language Model.
[BibTeX]
[DOI]
Wei Huang
,
Yinggui Wang
,
Anda Cheng
,
Aihui Zhou
,
Chaofan Yu
,
Lei Wang
CoRR, 2024

A Fast, Performant, Secure Distributed Training Framework For LLM.
[BibTeX]
[DOI]
Wei Huang
,
Yinggui Wang
,
Anda Cheng
,
Aihui Zhou
,
Chaofan Yu
,
Lei Wang
Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy Evaluation Benchmarks for NLP Models.
[BibTeX]
[DOI]
Wei Huang
,
Yinggui Wang
,
Cen Chen
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Privacy-Preserving End-to-End Spoken Language Understanding.
[BibTeX]
[DOI]
Yinggui Wang
,
Wei Huang
,
Le Yang
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023


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