cv

This is the CV for a modern roboticist.

Basics

Name Yuan Shenghai
Label Scientist
Email shyuan AT ntu.edu.sg
Phone +65 XXXX XXXX
Url https://snakehaihai.github.io/publications/
Summary A Chinese-born Singaporean robotics researcher and expert, combining extensive field experience with a strong background in cutting-edge robotics research.

Work

  • 2019.11 - Now
    Senior Research Fellow
    Nanyang Technological University
    Conduct research activity, writing papers, write project proposals, finish projects, writing research proposals, raising PHD kid
    • Robotics

Education

  • 2014.01 - 2019.01

    Singapore

    Doctor of Philosophy
    Nanyang Technological University, Singapore
    Robotics
    • Electrical and Electronic Engineering
  • 2010.01 - 2014.01

    Singapore

    Bachelor degree
    Nanyang Technological University, Singapore
    Robotics
    • Electrical and Electronic Engineering

Awards

Volunteer

  • 2023.12 - 2025.12
    Reviewer
    ICRA, IROS, TRO, RAL, CVPR, NeurIPS, TCDS, ISPRS, TIE, etc.
    I critically evaluate a manuscript's quality, originality, and validity, provide constructive feedback, and recommend a decision while maintaining confidentiality and ethical standards.
    • Received Best Reviewer award from IEEE.
  • 2023.12 - 2025.12
    Associate Editor
    Unmanned Systems
    Manage and oversee the peer review process to ensure it is fair, rigorous, and timely. Maintain and improve the quality of content by ensuring publications meet high academic and professional standards.
    • Control the review process to be 90% within 2 months for each round of review.

Publications

  • 2024.12.01
    Robust Loop Closure by Textual Cues in Challenging Environments
    IEEE Robotics and Automation Letters
    This study proposes a multi-modal loop closure method that leverages explicit human-readable textual cues to enhance robot navigation in featureless, degenerative, and repetitive environments.
  • 2024.01.01
    Graph Optimality-Aware Stochastic LiDAR Bundle Adjustment with Progressive Spatial Smoothing
    arXiv preprint arXiv:2410.14565
    This study introduces PSS-GOSO, a robust, efficient, and scalable LiDAR Bundle Adjustment method. It features Progressive Spatial Smoothing for robust LiDAR feature association and Graph Optimality-aware Stochastic Optimization for efficient optimization, validated across diverse scenes for superior performance.
  • 2024.01.01
    AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System
    arXiv preprint arXiv:2408.03520
    AirSLAM is a visual SLAM system designed to handle both short-term and long-term illumination challenges. It combines deep learning techniques for feature detection and matching with traditional backend optimization methods, utilizing a unified convolutional neural network to extract keypoints and structural lines for improved accuracy and robustness.
  • 2024.01.01
    Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-Scale Scenes
    arXiv preprint arXiv:2404.06050
    This paper proposes an incremental joint learning framework that achieves accurate depth and pose estimation, along with large-scale scene reconstruction, using a monocular camera. The method employs a vision transformer-based network for enhanced scale information estimation and introduces a feature-metric bundle adjustment for robust camera tracking.
  • 2024.01.01
    Compact 3D Gaussian Splatting for Dense Visual SLAM
    arXiv preprint arXiv:2403.11247
    This research presents a method to reduce memory and storage costs in 3D Gaussian-based SLAM systems while maintaining high-quality scene reconstruction and rendering, utilizing techniques like sliding window-based masking and codebook-based compression.
  • 2024.01.01
    GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation
    arXiv preprint arXiv:2410.22931
    This paper introduces a Gaussian Process Trajectory Representation (GPTR) framework for continuous-time motion estimation, employing a third-order random jerk model to provide smooth, continuous trajectory representations crucial for precise estimation of complex motion.

Skills

Physics
ROS
C++
Python
Machine Learning
Computer Vision

Languages

Chinese
Native speaker
English
Fluent

Interests

Robotics
Unmanned Aerial Vehicles
Simultaneous Localization And Mapping,
Computer Vision
Point Cloud Registration
Audio Data
Benchmarking

References

Professor Xie Lihua
2012-Now. Email: elhxie AT ntu.edu.sg. Prof. Xie, a distinguished Fellow of IEEE, is widely recognized for his outstanding contributions to the field of engineering and technology. As my postdoc supervisor, he has been an exceptional mentor, offering invaluable guidance and support throughout numerous projects and events. His expertise and leadership have profoundly influenced my academic and professional journey. Our collaboration began in 2012, during the prestigious Million Dollar DSTA TechX Challenge, where I joined the NTU team under his mentorship. That experience not only marked the start of our professional relationship but also set the foundation for many successful endeavors together.
Dr. Thien-Minh Nguyen
2017-Now. Email: thienminh.npn AT ieee.org. Dr. Thien Minh is a Research Assistant Professor at Nanyang Technological University (NTU). Over the years, we have collaborated extensively, publishing numerous high-impact research papers together. Beyond being a trusted colleague, Thien Minh is also a close friend, and we often engage in productive brainstorming sessions to tackle challenging problems. Whether it’s reviewing papers, writing code, or generating ideas for new projects, we frequently rely on each other’s expertise and perspectives to refine our work and ensure the highest standards of quality and innovation..
Professor Wang Han
2012-2019. Email: HW AT ntu.edu.sg. Prof. Wang Han, my PhD supervisor, has played a pivotal role in shaping my academic journey. He has a remarkable ability to identify key research problems and has guided me through a series of impactful projects, offering me opportunities to step onto larger stages. Our connection goes back to my undergraduate years, where he first began teaching me. Our collaborative journey truly began in 2012, during the prestigious Million Dollar DSTA TechX Challenge, which laid the foundation for many achievements that followed. He is now in Xiamen university Malaysia.