Bosch
I currently work at Bosch China Innovation and Software Development Center as an Algorithm Expert and Tech Lead, where I lead cross-functional teams in overcoming challenges in generating synthetic data and simulation environments for autonomous driving training and validation. My research interests include 3D reconstruction/generation and video generation.
I obtained my Ph.D. in Computer Science from The University of Sydney (USYD) in 2023 under the guidance of Prof. Dacheng Tao, specializing in low-level vision. Prior to that, I completed my bachelor’s degree in Electronic Science and Technology at Shanghai Jiao Tong University (SJTU) in 2018.
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Selected Publications (view all )
MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving
Hongli Xiao*, Youjian Zhang*, Yucai Bai, Chaoyue Wang, Yaohui Jin, Xiaoguang Ren, Wenjing Yang, Long Lan (* equal contribution)
IEEE International Conference on Robotics and Automation (ICRA) 2026
This work introduces a novel mesh-extraction method using LiDAR point clouds as diffusion guidance to correct geometry and scale inaccuracies in 3D generative models.
MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving
Hongli Xiao*, Youjian Zhang*, Yucai Bai, Chaoyue Wang, Yaohui Jin, Xiaoguang Ren, Wenjing Yang, Long Lan (* equal contribution)
IEEE International Conference on Robotics and Automation (ICRA) 2026
This work introduces a novel mesh-extraction method using LiDAR point clouds as diffusion guidance to correct geometry and scale inaccuracies in 3D generative models.
D2GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin, Yucai Bai, Li Sun, Dacheng Tao, Youjian Zhang# (# corresponding author)
Neural Information Processing Systems (NeurIPS) 2025
We resolve LiDAR projection inaccuracies in urban scene reconstruction via dense depth estimation and completion, leading to a LiDAR-free reconstruction pipeline.
D2GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin, Yucai Bai, Li Sun, Dacheng Tao, Youjian Zhang# (# corresponding author)
Neural Information Processing Systems (NeurIPS) 2025
We resolve LiDAR projection inaccuracies in urban scene reconstruction via dense depth estimation and completion, leading to a LiDAR-free reconstruction pipeline.
Exposure Trajectory Recovery from Motion Blur
Youjian Zhang, Chaoyue Wang, Stephen John Maybank, Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
Performing image deblurring by recovering exposure trajectories directly from motion-blurred images.
Exposure Trajectory Recovery from Motion Blur
Youjian Zhang, Chaoyue Wang, Stephen John Maybank, Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
Performing image deblurring by recovering exposure trajectories directly from motion-blurred images.
Video Frame Interpolation without Temporal Priors
Youjian Zhang*, Chaoyue Wang*, Dacheng Tao (* equal contribution)
Neural Information Processing Systems (NeurIPS) 2020
Proposes a video frame interpolation framework that operates robustly with arbitrary exposure time and temporal intervals.
Video Frame Interpolation without Temporal Priors
Youjian Zhang*, Chaoyue Wang*, Dacheng Tao (* equal contribution)
Neural Information Processing Systems (NeurIPS) 2020
Proposes a video frame interpolation framework that operates robustly with arbitrary exposure time and temporal intervals.