Hi! I’m Lijie Wang, you can call me Neural Jack. I am currently a first-year master’s student majoring in robotics at Zhejiang University, under the supervision of Pro. Fei Gao. Also, I am fortunate to be guided by Pro. Xieyuanli Chen. My research interests lie in Robotics, Spatial AI, Multi-Robot System, Multi-Sensor Fusion and Robot Perception.
I obtained my Bachelor Degree of Engineering majoring in Robotics Engineering with an honor degree at Chu Kochen Honors College, Zhejiang University in 2025. During my undergraduate years, I actively participate in research and competitions, closely collaborating with Pro. Yu Zhang, Pro. Rong Xiong, and Pro. Yue Wang. In competitions, I’m the team leader of ZJUNlict, Zhejiang University’s team in the RoboCup Soccer Small Size League (SSL) from 2024 to 2025. As a core member, I have led the team to achieve multiple awards.
🔥 News
- 2026.02: 🎉🎉 Our paper LiDAR-VGGT is accepted to 2026 RA-L!
- 2026.02: 🎉🎉 The firstly proposed color point cloud evaluation tool from RISED is open-sourced repo.
- 2025.02: 🎉🎉 Our paper RISED is accepted to 2025 ICRA!
- 2024.07: 🎉🎉 We win the second place in the small size league at the Robocup international competition in Eindhoven, the Netherlands!
- 2024.05: 🎉🎉 We win two championships in the small size league in the Robocup China Series in Quanzhou, Fujian!
- 2024.03: 🎉🎉 We win the third place in the small size league in the Robocup Japan Open!
📝 Publications
* denotes equal contribution.
Changjian Jiang*, Lijie Wang*, Zeyu Wan, Ruilan Gao, Yue Wang, Rong Xiong, Yu Zhang
- A offline system for high-precision dense color point cloud reconstruction, which provides a different approach from the current method and proposes a comprehensive and quantitative evaluation standard for colorized point clouds.
Lijie Wang, Xiaoyi Zhong, Ziyi Xu, Kaixin Chai, Anke Zhao, Tianyu Zhao, Changjian Jiang, Qianhao Wang, Fei Gao
- A multi-robot point cloud map fusion and optimization system that can generate locally accurate and globally consistent multi-robot maps, effectively eliminating blur and divergence of the map.
LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping
Lijie Wang, Lianjie Guo, Ziyi Xu, Qianhao Wang, Fei Gao, Xieyuanli Chen
- A novel framework that integrates LiDAR with VGGT to achieve large-scale, dense, metric-accurate, and globally consistent reconstruction.
High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
Jiarui Zhang, Chengyong Lei, Chengjiang Dai, Lijie Wang, Zhichao Han and Fei Gao
- End-to-end high-speed safe flight based on depth map reinforcement learning.
ZJUNlict Extended Team Paper for Robocup Competition in Salvador, Brazil, 2025.7
Zifei Wu, Lijie Wang, Zhe Yang, Shijie Yang, Liang Wang, Haoran Fu, Yinliang Cai and Rong Xiong
- ZJUNlict’s advancements in robot hardware and software for 2025, developed for participation in the RoboCup competition held in Salvador, Brazil.
✏️ Academic services
- Reviewer of CVPR, RA-L and ICRA.
🎖 Honors and Awards
- 2024.12 , Scholarship of a4x.
- 2025.3 , Ordos academic rising stars.
📖 Educations
- 2021.09 - 2025.06, B.Eng. in Robotics Engineering at Zhejiang University with an honor degree at Chu Kochen Honor College.
- 2025.09 - 2028.06, M.Sc. in Control Engineering at Zhejiang University.
💬 Competitions
- 2024.07, the second place in the small size league at the Robocup international competition in Eindhoven, the Netherlands.
- 2024.05, two championships in the small size league in the Robocup China Series in Quanzhou, Fujian.
- 2024.03, the third place in the small size league in the Robocup Japan Open.
💻 Hobbies
- Texas Hold’em, Table Tennis, Swimming and Sleeping!