Yucheng Xing

Machine learning researcher

Yucheng Xing邢宇程

Research Associate · Stony Brook University

My research focuses on efficient and adaptive machine learning, with applications in computer vision and graph-based spatiotemporal forecasting.

I received my Ph.D. in Electrical Engineering from Stony Brook University in 2026, advised by Prof. Xin Wang.

Email

Yucheng Xing outdoors
Stony Brook, New York
Generative AIDiffusion Models
Continuous-Time ModelingNeural ODEs · Neural SDEs
Adaptive Neural ArchitecturesInput-Adaptive Computation

Selected research

All publications
Puppet-CNN research diagram
ECCV 2026

Puppet-CNN

Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks

Yucheng Xing, Xin Wang

PaperPoster
BibTeX
@inproceedings{xing2026puppet,
  title={Puppet-CNN: Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks},
  author={Xing, Yucheng and Wang, Xin},
  booktitle={European Conference on Computer Vision},
  pages={570--587},
  year={2026},
  organization={Springer}
}
HDG-ODE research diagram
ICCV 2023

HDG-ODE

A Hierarchical Continuous-Time Model for Human Pose Forecasting

Yucheng Xing, Xin Wang

PaperCodePoster
BibTeX
@inproceedings{xing2023hdg,
  title={HDG-ODE: A hierarchical continuous-time model for human pose forecasting},
  author={Xing, Yucheng and Wang, Xin},
  booktitle={2023 IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages={14654--14666},
  year={2023},
  organization={IEEE}
}
∞-Net research diagram
ICONIP 2024

∞-Net

An Unsupervised Model for Online Graph Time-Series Denoising

Yucheng Xing, Xin Wang

PaperCodePoster
BibTeX
@inproceedings{xing2024net,
  title={∞-Net: An Unsupervised Model for Online Graph Time-Series Denoising},
  author={Xing, Yucheng and Wang, Xin},
  booktitle={International Conference on Neural Information Processing},
  pages={111--125},
  year={2024},
  organization={Springer}
}

Research Project Participation

  • NSF Convergence Accelerator–Track D: AI-Enabled Provably Resilient Networked Microgrids

    Funding agency: U.S. National Science Foundation (NSF)

  • Solar PLUS: Solar Integration through Physics-Aware Learning Based Ultra-Scalable Modeling and Analytics

    Funding agency: U.S. Department of Energy (DOE)

Selected Professional Service

All service

I serve as a reviewer for conferences and journals including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, and IEEE TPAMI.