Jiachen Lu

I am a Computer Science Ph.D. student in the EDIC fellowship program at EPFL, where I am fortunately advised by Haitham Hassanieh in the SENS (Laboratory of Sensing and Networking Systems) group. My research sits at the intersection of wireless sensing, autonomous driving, and 3D vision.

Prior to joining EPFL, I earned my Master’s degree from Fudan University and my Bachelor’s degree from Shanghai Jiao Tong University (SJTU). During my time in Shanghai, my work spanned the full spectrum of computer vision, from large multi-modality models, 3D/2D generative models, 3D perception to the Transformer theory.

news

Sep 18, 2025	My work on wireless imaging GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals is accepted as spotlight by NeurIPS 2025!
Sep 10, 2025	My work on HDMap Translating Images to Road Network: A Sequence-to-Sequence Perspective is accepted by TPAMI !
Sep 01, 2025	I am excited to share that I have joined EPFL as a Computer Science Ph.D. student! I will be part of the EDIC fellowship program and a member of the SENS Lab. Looking forward to working on wireless sensing and 3D vision in Lausanne!

selected publications

GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals

Jiachen Lu, Hailan Shanbhag, and Haitham Al Hassanieh

In Conference on Neural Information Processing Systems (NeurIPS), 2025

Spotlight Bib HTML PDF Poster

Spotlight Presentation

@inproceedings{lu2025geraf,
  title = {GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals},
  author = {Lu, Jiachen and Shanbhag, Hailan and Al Hassanieh, Haitham},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2025},
}

Translating Images to Road Network: A Sequence-to-Sequence Perspective

Jiachen Lu, Ming Nie, Bozhou Zhang, Renyuan Peng, Xinyue Cai, Hang Xu, Feng Wen, Wei Zhang, and Li Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

DOI arXiv Bib HTML Code

@article{lu2025translating,
  title = {Translating Images to Road Network: A Sequence-to-Sequence Perspective},
  author = {Lu, Jiachen and Nie, Ming and Zhang, Bozhou and Peng, Renyuan and Cai, Xinyue and Xu, Hang and Wen, Feng and Zhang, Wei and Zhang, Li},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2025},
  publisher = {IEEE},
  doi = {10.1109/TPAMI.2025.3612940},
}

Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation

Jiachen Lu, Ze Huang, Zeyu Yang, Jiahui Zhang, and Li Zhang

In European Conference on Computer Vision (ECCV), 2024

arXiv Bib HTML PDF Code Poster

@inproceedings{lu2024wovogen,
  title = {Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation},
  author = {Lu, Jiachen and Huang, Ze and Yang, Zeyu and Zhang, Jiahui and Zhang, Li},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages = {329--345},
  year = {2024},
  organization = {Springer},
}

Translating images to road network: A non-autoregressive sequence-to-sequence approach

Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, and Li Zhang

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Oral arXiv Bib HTML PDF Code Poster

Oral Presentation

@inproceedings{lu2023translating,
  selected = true,
  title = {Translating images to road network: A non-autoregressive sequence-to-sequence approach},
  author = {Lu, Jiachen and Peng, Renyuan and Cai, Xinyue and Xu, Hang and Li, Hongyang and Wen, Feng and Zhang, Wei and Zhang, Li},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages = {23--33},
  year = {2023},
}

Learning ego 3d representation as ray tracing

Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, and Li Zhang

In European conference on computer vision (ECCV), 2022

arXiv Bib HTML PDF Code Poster

@inproceedings{lu2022learning,
  selected = true,
  title = {Learning ego 3d representation as ray tracing},
  author = {Lu, Jiachen and Zhou, Zheyuan and Zhu, Xiatian and Xu, Hang and Zhang, Li},
  booktitle = {European conference on computer vision (ECCV)},
  pages = {129--144},
  year = {2022},
  organization = {Springer},
}

Soft: Softmax-free transformer with linear complexity

Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, and Li Zhang

In Conference on Neural Information Processing Systems (NeurIPS), 2021

Spotlight arXiv Bib HTML PDF Code

Spotlight Presentation

@inproceedings{lu2021soft,
  selected = true,
  title = {Soft: Softmax-free transformer with linear complexity},
  author = {Lu, Jiachen and Yao, Jinghan and Zhang, Junge and Zhu, Xiatian and Xu, Hang and Gao, Weiguo and Xu, Chunjing and Xiang, Tao and Zhang, Li},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2021},
}

Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers

Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, and others

In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2021

arXiv Bib HTML PDF Code

@inproceedings{zheng2021rethinking,
  selected = true,
  title = {Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers},
  author = {Zheng, Sixiao and Lu, Jiachen and Zhao, Hengshuang and Zhu, Xiatian and Luo, Zekun and Wang, Yabiao and Fu, Yanwei and Feng, Jianfeng and Xiang, Tao and Torr, Philip HS and others},
  booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)},
  pages = {6881--6890},
  year = {2021},
}