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researcher

Ziyan Wang

4 papers hereh-index 171.2k citations72 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • cs.HC1
  • cs.LG1
same name
  • Ziyan Wang — 9 papers, h 9
  • Ziyan Wang — 3 papers, h 9
  • Ziyan Wang — 2 papers, h 16
  • Ziyan Wang — 1 paper, h 0
  • Ziyan Wang — 1 paper, h 5
  • Ziyan Wang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.CL2026

From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models

Ziyan Wang, Enmao Diao, Qi Le +6

Structured pruning is a practical approach to deploying large language models (LLMs) efficiently, as it yields compact, hardware-friendly architectures. However, the dominant local…

cs.HC2025

ExplorAR: Assisting Older Adults to Learn Smartphone Apps through AR-powered Trial-and-Error with Interactive Guidance

Jiawei Li, Linjie Qiu, Zhiqing Wu +3

Older adults tend to encounter challenges when learning to use new smartphone apps due to age-related cognitive and physical changes. Compared to traditional support methods such a…

cs.CV2025

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang +10

We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…

cs.LG2024

Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing

Ziyan Wang, Hao Wang

Existing regression models tend to fall short in both accuracy and uncertainty estimation when the label distribution is imbalanced. In this paper, we propose a probabilistic deep…

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