activity
20162025
most citedVirtual to Real Reinforcement Learning for Autonomous Driving

149 citations · 206 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CL2025

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★ 3 cited

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.SD2023★ 3 cited

A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Zeyu Xiong, Weitao Wang, Jing Yu +2

In recent years, AI-generated music has made significant progress, with several models performing well in multimodal and complex musical genres and scenes. While objective metrics…

cs.LG2023★ 2 cited

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…

cs.CV2022★ 1 cited

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation

Ziyan Wang, Giljoo Nam, Tuur Stuyck +6

The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because…