Ziyan Wang
Ziyan Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Hao Feng, Jie Zhang, Li Yang.
OpenAlex · ORCID · h-index 31 · 191 works · 2,949 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11787
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workDecision Sciences · 1 workInformation Systems · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work
Works by year
2020s
Papers
- From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models (2026 · 1 citation)
Most structured pruning methods for LLMs work locally. They rebuild each layer's outputs separately from calibration data. This keeps perplexity and generic zero-shot behaviour reasonable, but it does not tie the pruning to a downstream task, so task-specific calibration data adds little. The authors return to global… - Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model (2026)
Multi-interest recommenders give each user several representation vectors. Most of them group items with heuristics such as embedding similarity or co-occurrence, and these heuristics break down when interactions are sparse or side information is incomplete. The authors propose LARMI, a framework in which an LLM…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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