Sheng Yang 🥤
Sheng Yang

Principal Researcher

Nice to Meet You !~

I am currently the Founding Director and Principal Researcher of NIO AI Research, working closely with Prof. Shaoqing Ren on cutting-edge architectures and algorithms for autonomous driving.

Before joining NIO, I worked as a Director of the Alibaba Autonomous Driving Lab, where I led the overall algorithmic architecture across perception, generative reconstruction and SLAM. I successfully launched the Robovan project sponsored by CaiNiao CTO Qiang Li, and deployed our architectural solution across all L4 unmanned vehicles, enabling millions of successful customer deliveries.

I received my Ph.D. in Computer Science from the Graphics and Geometric Computing Group, Tsinghua University, advised by Prof. Shi-Min Hu. I earned my B.Eng. in Computer Science from Wuhan University, ranking first in our grade.

🍀 I enjoy working with full-time researchers and highly motivated research interns. We are actively recruiting —— feel free to reach out via Intern, Campus and Social Links.

Interests
  • World Foundation Model
  • Spatial Representation Learning
  • Generation / Perception / Action
Education
  • Ph.D. in Computer Science, 2019

    Tsinghua University

  • B.Eng. in Computer Science, 2014

    Wuhan University

Released Projects
Publications
LiDAR-GS++: Improving LiDAR Gaussian Reconstruction via Diffusion Priors
LiDAR-GS++: Improving LiDAR Gaussian Reconstruction via Diffusion Priors
2026. AAAI.
GUIDE: Gaussian Unified Instance Detection for Enhanced Obstacle Perception in Autonomous Driving
GUIDE: Gaussian Unified Instance Detection for Enhanced Obstacle Perception in Autonomous Driving
2026. AAAI.
GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes
GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes
2025. SIGGRAPH Asia.
RTMap: Real-Time Recursive Mapping with Change Detection and Localization
RTMap: Real-Time Recursive Mapping with Change Detection and Localization
2025. ICCV.
RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
2025. ICCV.
SAM4D: Segment Anything in Camera and LiDAR Streams
SAM4D: Segment Anything in Camera and LiDAR Streams
2025. ICCV.
Language Driven Occupancy Prediction
Language Driven Occupancy Prediction
2025. ICCV.
Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation
Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation
2025. IROS.
Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis
Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis
2025. International Conference on 3D Vision.
A Survey of Recent Advances in Generative 3D Reconstruction
A Survey of Recent Advances in Generative 3D Reconstruction
2025. Journal of Computer Science and Technology.
LiDAR-GS: Real-time LiDAR Re-Simulation using Gaussian Splatting
LiDAR-GS: Real-time LiDAR Re-Simulation using Gaussian Splatting
2024. ArXiv Preprint.
WING: Wheel-Inertial Neural Odometry with Ground Manifold Constraints
WING: Wheel-Inertial Neural Odometry with Ground Manifold Constraints
2024. IEEE Transactions on Intelligent Vehicles.
360-VIO: A Robust Visual-Inertial Odometry Using a 360° Camera
360-VIO: A Robust Visual-Inertial Odometry Using a 360° Camera
2023. IEEE Transactions on Industrial Electronics.
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
2022. ECCV.
DIDO: Deep Inertial Quadrotor Dynamical Odometry
DIDO: Deep Inertial Quadrotor Dynamical Odometry
2022. IROS (with RAL).
The Visual-Inertial-Dynamical Multirotor Dataset
The Visual-Inertial-Dynamical Multirotor Dataset
2022. ICRA.
Road Mapping and Localization Using Sparse Semantic Visual Features
Road Mapping and Localization Using Sparse Semantic Visual Features
2021. ICRA (with RAL).
Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D Cameras
Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D Cameras
2020. ACM Transactions on Graphics.
Morphing and Sampling Network for Dense Point Cloud Completion
Morphing and Sampling Network for Dense Point Cloud Completion
2020. AAAI.
HeteroFusion: Dense Scene Reconstruction Integrating Multi-Sensors
HeteroFusion: Dense Scene Reconstruction Integrating Multi-Sensors
2019. IEEE Transactions on Visualization and Computer Graphics.
Probabilistic Projective Association and Semantic Guided Relocalization for Dense Reconstruction
Probabilistic Projective Association and Semantic Guided Relocalization for Dense Reconstruction
2019. ICRA.
A Robust Pose Graph Approach for City Scale LiDAR Mapping
A Robust Pose Graph Approach for City Scale LiDAR Mapping
2018. IROS.
Saliency-aware Real-time Volumetric Fusion for Object Reconstruction
Saliency-aware Real-time Volumetric Fusion for Object Reconstruction
2017. Computer Graphics Forum.
View Suggestion for Interactive Segmentation of Indoor Scenes
View Suggestion for Interactive Segmentation of Indoor Scenes
2017. Computational Visual Media.