@inproceedings{dong2025depthsync,title={DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale-and Geometry-Consistent Video Depth Estimation},author={Dong, Yue-Jiang and Zhao, Wang and Xu, Jiale and Shan, Ying and Zhang, Song-Hai},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},year={2025},}
CVPR’24
DI-PCG: Diffusion-based efficient inverse procedural content generation for high-quality 3d asset creation
Wang Zhao, Yan-Pei Cao, Jiale Xu, Yuejiang Dong, and Ying Shan
In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
@inproceedings{zhao2025di,title={DI-PCG: Diffusion-based efficient inverse procedural content generation for high-quality 3d asset creation},author={Zhao, Wang and Cao, Yan-Pei and Xu, Jiale and Dong, Yuejiang and Shan, Ying},booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},pages={11061--11072},year={2025},}
2024
NeurIPS’24
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, and Chen Li
In Advances in Neural Information Processing Systems, 2024
@inproceedings{NEURIPS2024_520425a5,author={Wang, Fangyikang and Yin, Hubery and Dong, Yuejiang and Zhu, Huminhao and Zhang, Chao and Zhao, Hanbin and Qian, Hui and Li, Chen},booktitle={Advances in Neural Information Processing Systems},editor={Globerson, A. and Mackey, L. and Belgrave, D. and Fan, A. and Paquet, U. and Tomczak, J. and Zhang, C.},pages={46118--46159},publisher={Curran Associates, Inc.},title={BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models},url={https://proceedings.neurips.cc/paper_files/paper/2024/file/520425a5a4c2fb7f7fc345078b188201-Paper-Conference.pdf},year={2024},}
AAAI’24
PPEA-Depth: Progressive parameter-efficient adaptation for self-supervised monocular depth estimation
@inproceedings{dong2024ppea,title={PPEA-Depth: Progressive parameter-efficient adaptation for self-supervised monocular depth estimation},author={Dong, Yue-Jiang and Guo, Yuan-Chen and Liu, Ying-Tian and Zhang, Fang-Lue and Zhang, Song-Hai},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},volume={38},number={2},pages={1609--1617},year={2024},}
ICRA’24
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
Yue-Jiang Dong, Fang-Lue Zhang, and Song-Hai Zhang
In 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
@inproceedings{dong2024mal,title={MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation},author={Dong, Yue-Jiang and Zhang, Fang-Lue and Zhang, Song-Hai},booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},pages={7318--7324},year={2024},organization={IEEE},}
2022
Middleware’21
ROS-SF: A transparent and efficient ROS middleware using Serialization-Free message
Yu-Ping Wang, Yuejiang Dong, and Gang Tan
In Proceedings of the 23rd ACM/IFIP International Middleware Conference, 2022
@inproceedings{wang2022ros,title={ROS-SF: A transparent and efficient ROS middleware using Serialization-Free message},author={Wang, Yu-Ping and Dong, Yuejiang and Tan, Gang},booktitle={Proceedings of the 23rd ACM/IFIP International Middleware Conference},pages={82--93},year={2022},}
2021
IROS’21
ORBBuf: A robust buffering method for remote visual SLAM
Yu-Ping Wang, Zi-Xin Zou, Cong Wang, Yue-Jiang Dong, Lei Qiao, and Dinesh Manocha
In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
@inproceedings{wang2021orbbuf,title={ORBBuf: A robust buffering method for remote visual SLAM},author={Wang, Yu-Ping and Zou, Zi-Xin and Wang, Cong and Dong, Yue-Jiang and Qiao, Lei and Manocha, Dinesh},booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={8706--8713},year={2021},organization={IEEE},}