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biographies

Biography

I am a third-year Ph.D. student at Tianjin Key Laboratory of Visual Computing and Intelligent Perception ( VCIP ), Nankai University, advised by Prof. Jian Yang and Prof. Jin Xie (co-advisor). My reseach mainly focuses on:

World Model & Autonomous Driving.
3DGS & NeRF & 3DV.

It is my honor to exchange ideas with researchers from all over the world, and I will do my best to make my work open-source and easy to understand. If you are interested in my research, feel free to contact me via email ( jiaweixu [AT] mail.nankai.edu.cn ).

Education

[Sept. 2023 ~ Present] Ph.D., Computer Science and Technology, Nankai University.
[Sept. 2019 ~ June. 2023] Bachelor of Engineering, Information Security, Nankai University.

Internship

[Sept. 2025 ~ Present] Horizion Robotics, Shanghai. Research Intern. Mentored by Wei Yin.

News

[2026-05] EponaV2 is now available on Arxiv.
[2026-01] VGGT-Long is accepted by ICRA 2026.
[2025-06] AD-GS is accepted by ICCV 2025.

Professional Activities

Reviewer of NeurIPS.

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

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publications

Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting

NeurIPS, 2024

Jiawei Xu, Zexin Fan, Jian Yang, Jin Xie

To overcome the limitations of plane-based methods in Gaussian-based dynamic scene rendering, Grid4D introduces a novel explicit 4D hash encoding with directional attention and smooth regularization, achieving state-of-the-art visual quality and rendering speed.

Website Paper Arxiv Code Slides Poster

AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving

ICCV, 2025

Jiawei Xu, Kai Deng, Zexin Fan, Shenlong Wang, Jin Xie, Jian Yang

AD-GS is a novel, self-supervised framework for high-quality rendering of dynamic urban driving scenes that eliminates the need for manual annotations by combining a learnable motion model, simplified segmentation, and dynamic Gaussians to achieve performance competitive with state-of-the-art, annotation-dependent approaches.

Website Paper Arxiv Code Slides Poster

VGGT-Long: Chunk it, Loop it, Align it, Pushing VGGT’s Limits on Kilometer-scale Long RGB Sequences

ICRA, 2026

Kai Deng, Zexin Ti, Jiawei Xu, Jian Yang, Jin Xie

To overcome the memory limitations of 3D vision foundation models, VGGT-Long employs a chunk-based processing strategy with overlapping alignment and loop closure optimization to enable accurate, kilometer-scale monocular 3D reconstruction in unbounded outdoor environments without requiring camera calibration or depth supervision.

Paper Arxiv Code

EponaV2: Driving World Model with Comprehensive Future Reasoning

Arxiv, 2026

Jiawei Xu, Zhizhou Zhong, Zhijian Shu, Mingkai Jia, Mingxiao Li, Jia-Wang Bian, Qian Zhang, Kaicheng Zhang, Jin Xie, Jian Yang, Wei Yin

EponaV2 is a novel, perception-free driving world model that achieves state-of-the-art trajectory planning by forecasting comprehensive future 3D geometry and semantic representations and employing an LLM-inspired policy optimization mechanism to enhance real-world reasoning and scene understanding.

Paper Arxiv Code

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015