Xin Li (李鑫)

Accelerate Engineering with LLM Automation

I am building LLM systems that automate wireless-communication design and embodied-AI workflows. My vision is to turn complex engineering problems into self-optimising, reproducible pipelines.

I am currently pursuing my Ph.D. at Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Yuen Chau, IEEE Fellow. Previously, I obtained my M.Eng degrees from Peking University in 2021 and B.Eng from Northeastern University in 2018.

💡 Always looking for collaborators on LLM-powered engineering automation. Feel free to drop me a line!

(Last updated: 2025-04-20)
Xin Li - PhD Student at Nanyang Technological University (NTU) Singapore

Latest News

Education

Ph.D. in Electrical and Electronic Engineering

Nanyang Technological University

Supervisor: Prof. Yuen Chau, IEEE Fellow

Jan. 2025 - Present

M.Eng. in Electronics and Communication Engineering

Peking University

Supervisor: Prof. Jinlong Lin

Sept. 2018 - Jul. 2021

B.Eng. in Measurement and Control Technology and Instruments

Northeastern University

Sept. 2014 - Jun. 2018

Professional Experience

Research Assistant

Nanyang Technological University (NTU)

Supervisor: Prof. Yuen Chau

  • Leveraged Large Language Models (LLMs) to solve complex mathematical engineering challenges in wireless communications.
  • Designed and implemented advanced robotic perception systems, integrating deep learning techniques for robust dense scene reconstruction.

Apr. 2024 - Jan. 2025

SLAM Algorithm Engineer

Gausium Robotics (alias "Gaussian Robotics")

  • Led a team in engineering a high-performance hierarchical visual localization system for large-scale environments using compact neural networks.
  • Directed the integration of real-time map update modules and spearheaded the development of a novel indoor localization system that combines learning-based methods with traditional signal processing.

Mar. 2022 - Feb. 2024

Research Assistant

Singapore University of Technology and Design (SUTD)

Supervisor: Prof. Yuen Chau

  • Developed a coplanar direct visual-inertial odometry system that overcomes 2D feature matching inaccuracies, outperforming conventional planar-constrained methods.

Aug. 2021 - Feb. 2022

Research Intern

Microsoft Research Asia (MSRA)

Supervisors: Dr. Yang Liu & Dr. Yizhong Zhang

  • Engineered a multi-sensor reconstruction system that integrates mobile camera and IMU data to generate high-fidelity vectorized maps of large-scale supermarkets, enhancing indoor localization and navigation.

Sep. 2020 - Mar. 2021

Research Intern

MEGVII

Supervisor: Dr. Yijia He

  • Researched geometric feature extraction in visual SLAM systems and developed a robust, tightly-coupled monocular Visual-Inertial Odometry (VIO) system that leverages heterogeneous features to generate semi-dense 3D scene meshes in real time.

Feb. 2019 - Mar. 2020

Research Interests

  • Large Language Models

    Multi-agent orchestration, tool-use & reasoning.

  • Wireless Engineering

    LLMassisted modelling & optimisation for 6G.

  • Embodied AI & SLAM

    Neural-field SLAM & language-conditioned control.

  • LLM-powered Engineering Automation

    Auto-design loops & scientific discovery agents.

Selected Publications

Citation Metrics

122
Citations
4
h-index
4
i10-index
Data from Google Scholar (Updated: 2025-04-10)

Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data

Mengbing Liu, Xin Li, Jiancheng An, Chau Yuen

ICLR ML4RS Workshop, 2025

@article{liu2025onboard,
  title={Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data},
  author={Liu, Mengbing and Li, Xin and An, Jiancheng and Yuen, Chau},
  journal={ICLR ML4RS Workshop},
  year={2025}
}

TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction

Xin Li, Ran Liu, Saihua Xu, Sirajudeen Gulam Razul, Chau Yuen

ICASSP, 2025

@inproceedings{li2025transpathnet,
  title={TransPathNet: A Novel Two-Stage Framework for Indoor Radio Map Prediction},
  author={Li, Xin and Liu, Ran and Xu, Saihua and Razul, Sirajudeen Gulam and Yuen, Chau},
  booktitle={Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  year={2025},
  month={April}
}

Robust Gaussian Splatting SLAM by Leveraging Loop Closure

Zunjie Zhu, Youxu Fang, Xin Li, Chengang Yan, Feng Xu, Chau Yuen, Yanyan Li

Under review, 2024

@article{zhu2024robust,
  title={Robust Gaussian Splatting SLAM by Leveraging Loop Closure},
  author={Zhu, Zunjie and Fang, Youxu and Li, Xin and Yan, Chengang and Xu, Feng and Yuen, Chau and Li, Yanyan},
  journal={arXiv preprint},
  year={2024}
}

PVI-DSO: Leveraging Planar Regularities for Direct Sparse Visual-Inertial Odometry

Bo Xu, Xin Li, Jingrong Wang, Chau Yuen, Jiancheng Li

IEEE Sensors Journal, 2023

@article{xu2023pvi,
  title={PVI-DSO: Leveraging Planar Regularities for Direct Sparse Visual-Inertial Odometry},
  author={Xu, Bo and Li, Xin and Wang, Jingrong and Yuen, Chau and Li, Jiancheng},
  journal={IEEE Sensors Journal},
  year={2023},
  volume={23},
  number={15},
  pages={17415--17425},
  publisher={IEEE}
}

Deep Learning-Based Channel Estimation for Double-RIS Aided Massive MIMO System

Mengbing Liu, Xin Li, Boyu Ning, Chongwen Huang, Sumei Sun, Chau Yuen

IEEE Wireless Communications Letters (WCL), 2022

@article{liu2022deep,
  title={Deep learning-based channel estimation for double-RIS aided massive MIMO system},
  author={Liu, Mengbing and Li, Xin and Ning, Boyu and Huang, Chongwen and Sun, Sumei and Yuen, Chau},
  journal={IEEE Wireless Communications Letters},
  volume={12},
  number={1},
  pages={70--74},
  year={2022},
  publisher={IEEE}
}

Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

Xin Li*, Yanyan Li*, Evin Pinar Örnek, Jinlong Lin, Federico Tombari (*equal contribution)

IEEE RA-L, 2020

@article{li2020co,
  title={Co-planar parametrization for stereo-SLAM and visual-inertial odometry},
  author={Li, Xin and Li, Yanyan and Örnek, Evin Pinar and Lin, Jinlong and Tombari, Federico},
  journal={IEEE Robotics and Automation Letters},
  volume={5},
  number={4},
  pages={6972--6979},
  year={2020},
  publisher={IEEE}
}

Leveraging Planar Regularities for Point Line Visual-Inertial Odometry

Xin Li*, Yijia He*, Jinlong Lin, Xiao Liu (*equal contribution)

IROS, 2020

@inproceedings{li2020leveraging,
  title={Leveraging Planar Regularities for Point Line Visual-Inertial Odometry},
  author={Li, Xin and He, Yijia and Lin, Jinlong and Liu, Xiao},
  booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2020},
  pages={10792--10798},
  organization={IEEE}
}

Honors and Awards

Academic Service

Reviewer