CV
Education
- University of Zurich (UZH), Zurich, Switzerland
- M.Sc. in Informatics (Major: Artificial Intelligence, Minor: Data Science), 2024 – Present
- GPA: 5.57/6
- Core Courses: Data Science (6.0/6.0), Machine Learning for Natural Language Processing (6.0/6.0), Vision Algorithms for Mobile Robotics (5.5/6.0), ETHZ 3D Vision (5.75/6.0), ETHZ Virtual Reality (6.0/6.0).
- Nanjing University of Information Science and Technology (NUIST), Nanjing, China
- B.Eng. in Artificial Intelligence, 2020 – 2024
- GPA: 87.6/100
Research & Internship Experience
- Computer Vision and Geometry Group (ETHZ CVG), Student Researcher, Mar 2025 – Feb 2026
- Real-time Visual-Inertial-LiDAR Gaussian Splatting SLAM
- Reproduced and improved GS-LIVO to achieve better geometric accuracy and mapping efficiency, reaching SOTA performance.
- Robotics and Perception Group (UZH RPG), Student Researcher, Feb 2025 – Jan 2026
- Event Camera-Enhanced Robot Motor Control Policies
- Conducted autoregressive pre-training on multimodal data, significantly improving the performance and robustness of downstream vision and control tasks.
- IntSig Information Co., Ltd., Computer Vision Algorithm Intern, Jul 2023 – Oct 2023
- Developed object detection algorithms based on improved DETR series architectures.
Skills
- Robot Arm & Dog Deployment: MuJoCo IL/RL training and ROS2 deployment experience on Soarm101.
- VLA Models: RT-1, RT-2, Pi0, GR00T, ACT, and other Vision-Language-Action models.
- Object Detection & Segmentation: RCNN series (Fast, Faster, Mask, Cascade), DETR, GLIP, GLIP2, SAM.
- Pre-training & Contrastive Learning: Masked Modeling (BERT, MAE, BEiT, EVA), MoCo, CLIP, DINO.
- LLMs & Multimodal Models: GPT, MoE, RoPE, RAG, Engram; experience in pre-training Chinese corpora and RLHF post-training.
- Generative Models: GAN, VAE, VQ-VAE, VQGAN, Latent Diffusion Models.
- SLAM & 3D Vision: PTAM, FAST-LIVO2, 3DGS, HI-SLAM2, GS-LIVO.
Awards
- Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), 2022
- Second Prize at the National Level. Responsible for designing robust mathematical models and optimization algorithms.
Publications
Talks
Teaching