Xin Li (李鑫)
PhD Student
Nanyang Technological University (NTU), Singapore
I am a dedicated AI researcher with interdisciplinary expertise in machine learning, robotics, and wireless communications, supported by extensive industry experience. My mission is to leverage AI to solve complex engineering challenges, and my work has made influential contributions in top conferences and journals, including IEEE RA-L, IROS, IEEE Sensors Journal, and ICASSP.
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.
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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
Applications and advancements in large language models for various domains.
Embodied AI
Intelligent agents that can perceive, understand and act in real-world environments.
Wireless Communications
New algorithms and techniques for improving wireless communication systems.
Auto Research
Automated research and development of new algorithms and techniques for improving wireless communication systems.
SLAM
Simultaneous Localization and Mapping for autonomous systems and robotics applications.
Selected Publications
Citation Metrics
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}
}
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}
}