Jun Cheng

About

I am a PhD student in the School of Artificial Intelligence and Automation at Huazhong University of Science and Technology (HUST), advised by Prof. Cheng Cheng. My research lies at the intersection of robotics, 3D computer vision, and machine learning, with a primary focus on visuo-tactile fusion and intelligent control for dexterous manipulation. Specifically, my interests span 3D scene representations and neural fields, fiber-optic tactile sensing with deep learning demodulation, and cross-modal representation learning for deformable object and contact-rich manipulation. I am open to research internship opportunities.

News

  • One paper accepted to CVPR 2026.
  • Passed my PhD thesis proposal defense.

Publications

Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis

Yinuo Jiang, Jun Cheng, Yiran Wang, Cheng Cheng

CVPR 2026

Paper arXiv

Fibertouch: A Novel Fiber-Optic Tactile Sensor with Deep Learning Demodulation for Dexterous Robotic Hands

Xuechun Qiao, Jun Cheng, Hanlin Liu, Xiangpeng Xiao, Qianjun Liu Xuechun Qiao, Jun Cheng, Hanlin Liu, Xiangpeng Xiao, Qianjun Liu, Jun Zhou, Zhijun Yan, Cheng Cheng, Min Yu +4 more show less

MSSP 2025

Paper

Highly Sensitive Flexible Tactile Sensors Based on Fiber Bragg Gratings and Transformer Algorithm

Hanlin Liu, Jun Cheng, Xuechun Qiao, Cheng Cheng, Qizhen Sun, Zhijun Yan

CLEO 2025

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AeroMamba: An Efficient Mamba-Based Approach for Large-Scale Point Cloud Registration in Aircraft Assembly

Qingyi Li, Yinuo Jiang, Jun Cheng, Wangjun Chen, Pengyuan Zhao Qingyi Li, Yinuo Jiang, Jun Cheng, Wangjun Chen, Pengyuan Zhao, Xuechun Qiao, Cheng Cheng, Ye Yuan +3 more show less

AIM 2025

Registration of Nonuniform LiDAR Scans with Large Pose Variations for Aircraft Assembly

Yinuo Jiang, Qingyi Li, Bingheng Zhang, Wangjun Chen, Jun Cheng, Cheng Cheng

IEEE TIM 2025

Experience

  • Visiting Research Student | Dept. of Mechanical Engineering, Imperial College London May – Sep 2026

    Led the development of a physics-anchored mixture-of-experts estimator for full-range (0–200 ξm) ultrasonic oil-film thickness measurement. First-author paper, IEEE TII (minor revision submitted).

Awards

  • Doctoral Academic Scholarship | Huazhong Univ. of Sci. & Tech. 2026

Projects

  • Jun_Dotfiles GitHub

    macOS / Linux / Windows dotfiles for Neovim, zsh, tmux, Starship and Git, with install scripts.