Chen Wang

I am an Assistant Professor at the Computer Science and Engineering (CSE), University at Buffalo (UB).

At the intersection of perception, spatial reasoning, and decision-making, we are committed to advancing mobile robots toward human-level autonomy by developing algorithms and systems that can efficiently and robustly:

Perceive and interpret various sensory inputs such as images, point clouds, and proprioceptive data.
Integrate neural and symbolic memory representations to capture spatial common sense and semantic knowledge.
Reason, plan, and act in real time to navigate in, interact with, and adapt within unstructured and dynamic environments.

A central paradigm we advocate is imperative learning (IL), a unified neuro-symbolic learning framework for robot autonomy that promotes data-efficient learning through structured reasoning. IL is inherently self-supervised, modular, and end-to-end learnable with symbolic reasoning grounded in physical laws and logical rules.

We are also leading the development of PyPose, an open-source library for differentiable robotics on manifolds. Notably, PyPose has accumulated over 160,000 downloads in 2025 and over 100,000 downloads in 2026 until June according to PyPi Stats.

Experience & Education

Assistant Professor, University at Buffalo (UB), USA, 2022 - Present
Postdoctoral Fellow, Robotics Institute, Carnegie Mellon University, USA, 2019 - 2022
Ph.D., Nanyang Technological University (NTU), Singapore, 2014 - 2019
B.E., Beijing Institute of Technology (BIT), China, 2010 - 2014

Awards

Young Investigator Award, UB, 2026
Outstanding Area Chair, CVPR, 2026
Research Excellence Award, UB CSE, 2024
Faculty Innovation Award, Sony, 2023
Faculty Research Award, Cisco, 2023

Services

Associate Editor for Top Journals
- IEEE Transactions on Robotics (T-RO), Jan. 2026 - Present
- International Journal of Robotics Research (IJRR), Jan. 2023 - Present
- IEEE Robotics and Automation Letters (RA-L), Aug. 2021 - Aug 2024
Area Chair for Top Conferences
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - Present
- Conference on Neural Information Processing Systems (NeurIPS), 2024 - Present
- IEEE International Conference on Robotics and Automation (ICRA), 2025 - Present
Leading Guest Editor for IJRR Special Issue on Foundation Models and Neuro-Symbolic AI for Robotics
Associate Co-chair for IEEE RAS Technical Committee for Computer & Robot Vision, Dec. 2022 - Present

Information

Book Chapters

Imperative Learning.
Chen Wang, Junyi Geng, Kaiyi Ji, Taimeng Fu.
Artificial Intelligence: From Simulation to Reality
Edited by Alvaro Velasquez, Vishal Patel, Antonio Loquercio, and Alan Fern
Wiley-IEEE Press, 2026

Book Chapter
```
@inbook{ai-ch10-il,
  title = {Imperative Learning},
  author = {Wang, Chen and Geng, Junyi and Ji, Kaiyi and Fu, Taimeng},
  booktitle = {{Artificial Intelligence}: From Simulation to Reality},
  publisher = {Wiley-IEEE Press},
  editor = {Velasquez, Alvaro and Patel, Vishal and Loquercio, Antonio and Fern, Alan},
  year = {2026},
  url = {https://www.google.com/books/edition/Artificial_Intelligence/ml7f0AEACAAJ},
  cover = {/img/pubs/ai-il-book.jpg}
}
```
```
Wang, Chen and Geng, Junyi and Ji, Kaiyi and Fu, Taimeng, "Imperative Learning," Artificial Intelligence: From Simulation to Reality, 2026.
```
Differentiable Optimization.
Chen Wang, Krishna Murthy Jatavallabhula, Mustafa Mukadam.
SLAM Handbook: From Localization and Mapping to Spatial Intelligence
Edited by Luca Carlone, Ayoung Kim, Timothy Barfoot, Daniel Cremers, and Frank Dellaert
Cambridge University Press, 2025

Book Chapter
```
@inbook{sh-ch4-diffopt,
  title = {Differentiable Optimization},
  author = {Wang, Chen and Jatavallabhula, Krishna Murthy and Mukadam, Mustafa},
  booktitle = {{SLAM Handbook}: From Localization and Mapping to Spatial Intelligence},
  publisher = {Cambridge University Press},
  editor = {Carlone, Luca and Kim, Ayoung and Barfoot, Timothy and Cremers, Daniel and Dellaert, Frank},
  year = {2025},
  url = {https://hdl.handle.net/1721.1/163400},
  cover = {/img/pubs/SLAM-handbook.jpeg}
}
```
```
Wang, Chen and Jatavallabhula, Krishna Murthy and Mukadam, Mustafa, "Differentiable Optimization," SLAM Handbook: From Localization and Mapping to Spatial Intelligence, 2025.
```

Selected Publications

Selected publications highlighting key contributions in neuro-symbolic robot autonomy, including framework development, system design, and foundations in learning and representation. Full publication list is here.

Highlighted Works

Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy.
Chen Wang, Kaiyi Ji, Junyi Geng, Zhongqiang Ren, Taimeng Fu, Fan Yang, Yifan Guo, Haonan He, Xiangyu Chen, Zitong Zhan, Qiwei Du, Shaoshu Su, Bowen Li, Yuheng Qiu, Yi Du, Qihang Li, Yifan Yang, Xiao Lin, Zhipeng Zhao.
International Journal of Robotics Research (IJRR), 2025.

Unifying robot autonomy via neuro-symbolic learning
```
@article{wang2025imperative,
  title = {Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy},
  author = {Wang, Chen and Ji, Kaiyi and Geng, Junyi and Ren, Zhongqiang and Fu, Taimeng and Yang, Fan and Guo, Yifan and He, Haonan and Chen, Xiangyu and Zhan, Zitong and Du, Qiwei and Su, Shaoshu and Li, Bowen and Qiu, Yuheng and Du, Yi and Li, Qihang and Yang, Yifan and Lin, Xiao and Zhao, Zhipeng},
  journal = {International Journal of Robotics Research (IJRR)},
  year = {2025},
  url = {https://arxiv.org/abs/2406.16087},
  code = {https://github.com/sair-lab/iSeries},
  website = {https://sairlab.org/iseries},
  cover = {/img/posts/2024-07-02-iSeries/il-cover.jpg},
  addendum = {Unifying robot autonomy via neuro-symbolic learning}
}
```
```
Wang, Chen and Ji, Kaiyi and Geng, Junyi and Ren, Zhongqiang and Fu, Taimeng and Yang, Fan and Guo, Yifan and He, Haonan and Chen, Xiangyu and Zhan, Zitong and Du, Qiwei and Su, Shaoshu and Li, Bowen and Qiu, Yuheng and Du, Yi and Li, Qihang and Yang, Yifan and Lin, Xiao and Zhao, Zhipeng, "Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy," International Journal of Robotics Research (IJRR), 2025.
```
Resilient Odometry via Hierarchical Adaptation.
Shibo Zhao, Sifan Zhou, Yuchen Zhang, Ji Zhang, Chen Wang, Wenshan Wang, Sebastian Scherer.
Science Robotics, vol. 10, no. 109, 2025.

Top featured article in Science Robotics; Imperative learning enables all-weather resiliency; Exhibiting only 0.000067 (0.2m / 3km) drift without loop closure
```
@article{zhao2025resilient,
  title = {Resilient Odometry via Hierarchical Adaptation},
  author = {Zhao, Shibo and Zhou, Sifan and Zhang, Yuchen and Zhang, Ji and Wang, Chen and Wang, Wenshan and Scherer, Sebastian},
  journal = {Science Robotics},
  volume = {10},
  number = {109},
  year = {2025},
  publisher = {American Association for the Advancement of Science},
  url = {https://doi.org/10.1126/scirobotics.adv1818},
  website = {https://superodometry.com/},
  code = {https://github.com/superxslam/SuperOdom},
  cover = {/img/pubs/SuperOdometry.mp4},
  addendum = {Top featured article in Science Robotics; Imperative learning enables all-weather resiliency; Exhibiting only 0.000067 (0.2m / 3km) drift without loop closure}
}
```
```
Zhao, Shibo and Zhou, Sifan and Zhang, Yuchen and Zhang, Ji and Wang, Chen and Wang, Wenshan and Scherer, Sebastian, "Resilient Odometry via Hierarchical Adaptation," Science Robotics, 2025.
```
PyPose: A Library for Robot Learning with Physics-based Optimization.
Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian Scherer.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22024–22034, 2023.

Python library accumulated over 160,000 downloads in 2025
```
@inproceedings{wang2023pypose,
  title = {{PyPose}: A Library for Robot Learning with Physics-based Optimization},
  author = {Wang, Chen and Gao, Dasong and Xu, Kuan and Geng, Junyi and Hu, Yaoyu and Qiu, Yuheng and Li, Bowen and Yang, Fan and Moon, Brady and Pandey, Abhinav and Aryan and Xu, Jiahe and Wu, Tianhao and He, Haonan and Huang, Daning and Ren, Zhongqiang and Zhao, Shibo and Fu, Taimeng and Reddy, Pranay and Lin, Xiao and Wang, Wenshan and Shi, Jingnan and Talak, Rajat and Cao, Kun and Du, Yi and Wang, Han and Yu, Huai and Wang, Shanzhao and Chen, Siyu and Kashyap, Ananth and Bandaru, Rohan and Dantu, Karthik and Wu, Jiajun and Xie, Lihua and Carlone, Luca and Hutter, Marco and Scherer, Sebastian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  pages = {22024--22034},
  url = {https://arxiv.org/abs/2209.15428},
  code = {https://github.com/pypose/pypose},
  video = {https://youtu.be/XDtUDIWuGng},
  website = {https://sairlab.org/pypose/},
  cover = {/img/posts/pypose/robots.jpg},
  addendum = {Python library accumulated over 160,000 downloads in 2025}
}
```
```
Wang, Chen and Gao, Dasong and Xu, Kuan and Geng, Junyi and Hu, Yaoyu and Qiu, Yuheng and Li, Bowen and Yang, Fan and Moon, Brady and Pandey, Abhinav and Aryan and Xu, Jiahe and Wu, Tianhao and He, Haonan and Huang, Daning and Ren, Zhongqiang and Zhao, Shibo and Fu, Taimeng and Reddy, Pranay and Lin, Xiao and Wang, Wenshan and Shi, Jingnan and Talak, Rajat and Cao, Kun and Du, Yi and Wang, Han and Yu, Huai and Wang, Shanzhao and Chen, Siyu and Kashyap, Ananth and Bandaru, Rohan and Dantu, Karthik and Wu, Jiajun and Xie, Lihua and Carlone, Luca and Hutter, Marco and Scherer, Sebastian, "PyPose: A Library for Robot Learning with Physics-based Optimization," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
```

Neuro-Symbolic Robot Autonomy

VL-Nav: Neuro-Symbolic Reasoning-based Vision-Language Navigation.
Yi Du, Taimeng Fu, Zhipeng Zhao, Shaoshu Su, Zitong Zhan, Qiwei Du, Zhuoqun Chen, Bowen Li, Chen Wang.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.

Deployment-ready neuro-symbolic vision-language navigation
```
@inproceedings{du2026vlnav,
  title = {{VL-Nav}: Neuro-Symbolic Reasoning-based Vision-Language Navigation},
  author = {Du, Yi and Fu, Taimeng and Zhao, Zhipeng and Su, Shaoshu and Zhan, Zitong and Du, Qiwei and Chen, Zhuoqun and Li, Bowen and Wang, Chen},
  year = {2026},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  url = {https://arxiv.org/abs/2502.00931},
  website = {https://sairlab.org/vlnav/},
  cover = {/img/posts/2025-02-01-vlnav/vlnav_cover.mp4},
  addendum = {Deployment-ready neuro-symbolic vision-language navigation}
}
```
```
Du, Yi and Fu, Taimeng and Zhao, Zhipeng and Su, Shaoshu and Zhan, Zitong and Du, Qiwei and Chen, Zhuoqun and Li, Bowen and Wang, Chen, "VL-Nav: Neuro-Symbolic Reasoning-based Vision-Language Navigation," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.
```
Learning When to Jump for Off-road Navigation.
Zhipeng Zhao, Taimeng Fu, Shaoshu Su, Qiwei Du, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, Chen Wang.
Robotics: Science and Systems (RSS), 2026.
```
@inproceedings{zhao2026learning,
  title = {Learning When to Jump for Off-road Navigation},
  author = {Zhao, Zhipeng and Fu, Taimeng and Su, Shaoshu and Du, Qiwei and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen},
  booktitle = {Robotics: Science and Systems (RSS)},
  year = {2026},
  url = {https://arxiv.org/abs/2602.00877},
  code = {https://github.com/sair-lab/mat},
  video = {https://youtu.be/1MuxfwPj56c},
  website = {https://sairlab.org/mat/},
  cover = {/img/posts/2026-02-09-mat/mat.mp4}
}
```
```
Zhao, Zhipeng and Fu, Taimeng and Su, Shaoshu and Du, Qiwei and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen, "Learning When to Jump for Off-road Navigation," Robotics: Science and Systems (RSS), 2026.
```
Fast Task Planning with Neuro-Symbolic Relaxation.
Qiwei Du, Bowen Li, Yi Du, Shaoshu Su, Taimeng Fu, Zitong Zhan, Zhipeng Zhao, Chen Wang.
IEEE Robotics and Automation Letters (RA-L), vol. 11, no. 3, pp. 3684–3691, 2026.

An elegant real-world demonstration of interactive navigation
```
@article{du2026fast,
  title = {Fast Task Planning with Neuro-Symbolic Relaxation},
  author = {Du, Qiwei and Li, Bowen and Du, Yi and Su, Shaoshu and Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Wang, Chen},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2026},
  volume = {11},
  number = {3},
  pages = {3684-3691},
  url = {https://arxiv.org/abs/2507.15975},
  website = {https://sairlab.org/flax/},
  code = {https://github.com/sair-lab/flax},
  video = {https://youtu.be/_4DYcqwycnQ},
  cover = {/img/posts/2025-07-21-flax/Flax.mp4},
  addendum = {An elegant real-world demonstration of interactive navigation}
}
```
```
Du, Qiwei and Li, Bowen and Du, Yi and Su, Shaoshu and Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Wang, Chen, "Fast Task Planning with Neuro-Symbolic Relaxation," IEEE Robotics and Automation Letters (RA-L), 2026.
```
Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints.
Qiwei Du, Zitong Zhan, Shaoshu Su, Bowen Li, Yi Du, Zhipeng Zhao, Taimeng Fu, Sebastian Scherer, Jiaoyang Li, Chen Wang.
arXiv preprint arXiv:2606.06877, 2026.

Reducing failures by 80% and eliminating exposure bias of neuro-symbolic task planning
```
@article{du2026iflax,
  title = {Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints},
  author = {Du, Qiwei and Zhan, Zitong and Su, Shaoshu and Li, Bowen and Du, Yi and Zhao, Zhipeng and Fu, Taimeng and Scherer, Sebastian and Li, Jiaoyang and Wang, Chen},
  journal = {arXiv preprint arXiv:2606.06877},
  year = {2026},
  url = {https://arxiv.org/abs/2606.06877},
  website = {https://sairlab.org/iflax/},
  video = {https://youtu.be/aRkq4TXYEhM},
  cover = {/img/posts/2026-06-08-iflax/iflax_cover_video.mp4},
  addendum = {Reducing failures by 80\% and eliminating exposure bias of neuro-symbolic task planning}
}
```
```
Du, Qiwei and Zhan, Zitong and Su, Shaoshu and Li, Bowen and Du, Yi and Zhao, Zhipeng and Fu, Taimeng and Scherer, Sebastian and Li, Jiaoyang and Wang, Chen, "Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints," arXiv preprint arXiv:2606.06877, 2026.
```
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation.
Taimeng Fu, Zitong Zhan, Zhipeng Zhao, Shaoshu Su, Xiao Lin, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, Chen Wang.
arXiv preprint arXiv:2501.12654, 2025.

A self-supervised friction estimation framework
```
@article{fu2025anynav,
  title = {{AnyNav}: Visual Neuro-Symbolic Friction Learning for Off-road Navigation},
  author = {Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen},
  journal = {arXiv preprint arXiv:2501.12654},
  year = {2025},
  url = {https://arxiv.org/abs/2501.12654},
  website = {https://sairlab.org/anynav/},
  cover = {/img/posts/2024-12-01-anynav/AnyNav.mp4},
  addendum = {A self-supervised friction estimation framework}
}
```
```
Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen, "AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation," arXiv preprint arXiv:2501.12654, 2025.
```

Adaptive Learning for Robotic Systems

Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning.
Fan Yang, Per Frivik, David Hoeller, Chen Wang, Cesar Cadena, Marco Hutter.
International Journal of Robotics Research (IJRR), 2025.
```
@article{yang2025improving,
  title = {Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning},
  author = {Yang, Fan and Frivik, Per and Hoeller, David and Wang, Chen and Cadena, Cesar and Hutter, Marco},
  journal = {International Journal of Robotics Research (IJRR)},
  year = {2025},
  url = {https://arxiv.org/abs/2506.05997},
  code = {https://github.com/leggedrobotics/sru-pytorch-spatial-learning},
  website = {https://michaelfyang.github.io/sru-project-website/},
  cover = {/img/pubs/SRU.mp4}
}
```
```
Yang, Fan and Frivik, Per and Hoeller, David and Wang, Chen and Cadena, Cesar and Hutter, Marco, "Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning," International Journal of Robotics Research (IJRR), 2025.
```
iWalker: Imperative Visual Planning for Walking Humanoid Robot.
Xiao Lin, Yuhao Huang, Taimeng Fu, Xiaobin Xiong, Chen Wang.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2865–2872, 2025.

Best Workshop Paper Award; Enabling humanoid walking via self-supervised footstep planning
```
@inproceedings{lin2025iwalker,
  title = {{iWalker}: Imperative Visual Planning for Walking Humanoid Robot},
  author = {Lin, Xiao and Huang, Yuhao and Fu, Taimeng and Xiong, Xiaobin and Wang, Chen},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {2865--2872},
  year = {2025},
  url = {https://arxiv.org/abs/2409.18361},
  video = {https://youtu.be/FPV74PznzTU},
  website = {https://sairlab.org/iwalker},
  cover = {/img/posts/2024-09-30-iwalker/thumbnail.gif},
  addendum = {Best Workshop Paper Award; Enabling humanoid walking via self-supervised footstep planning}
}
```
```
Lin, Xiao and Huang, Yuhao and Fu, Taimeng and Xiong, Xiaobin and Wang, Chen, "iWalker: Imperative Visual Planning for Walking Humanoid Robot," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
```
AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System.
Kuan Xu, Yuefan Hao, Shenghai Yuan, Chen Wang, Lihua Xie.
IEEE Transactions on Robotics (T-RO), vol. 41, pp. 1673–1692, 2025.

Real-time visual SLAM at 70Hz with superior accuracy
```
@article{xu2025airslam,
  title = {{AirSLAM}: An Efficient and Illumination-Robust Point-Line Visual SLAM System},
  author = {Xu, Kuan and Hao, Yuefan and Yuan, Shenghai and Wang, Chen and Xie, Lihua},
  journal = {IEEE Transactions on Robotics (T-RO)},
  year = {2025},
  volume = {41},
  pages = {1673-1692},
  url = {https://arxiv.org/abs/2408.03520},
  code = {https://github.com/sair-lab/AirSLAM},
  video = {https://youtu.be/5OcR5KeO5nc},
  website = {https://sairlab.org/airslam},
  cover = {/img/posts/2024-08-15-airslam/AirSLAM.mp4},
  addendum = {Real-time visual SLAM at 70Hz with superior accuracy}
}
```
```
Xu, Kuan and Hao, Yuefan and Yuan, Shenghai and Wang, Chen and Xie, Lihua, "AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System," IEEE Transactions on Robotics (T-RO), 2025.
```
Unsupervised Online Learning for Robotic Interestingness with Visual Memory.
Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Seungchan Kim, Sebastian Scherer.
IEEE Transactions on Robotics (T-RO), vol. 38, no. 4, pp. 2446–2461, 2021.
```
@article{wang2021unsupervised,
  title = {Unsupervised Online Learning for Robotic Interestingness with Visual Memory},
  author = {Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Kim, Seungchan and Scherer, Sebastian},
  journal = {IEEE Transactions on Robotics (T-RO)},
  year = {2021},
  volume = {38},
  number = {4},
  pages = {2446--2461},
  url = {https://arxiv.org/abs/2111.09793},
  code = {https://github.com/sair-lab/interestingness},
  website = {https://sairlab.org/interestingness/},
  cover = {/img/posts/2020-05-01-interestingness/interestingness-tro.jpg}
}
```
```
Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Kim, Seungchan and Scherer, Sebastian, "Unsupervised Online Learning for Robotic Interestingness with Visual Memory," IEEE Transactions on Robotics (T-RO), 2021.
```

Foundations in Learning and Representation

Bundle Adjustment in the Eager Mode.
Zitong Zhan, Huan Xu, Zihang Fang, Xinpeng Wei, Yaoyu Hu, Chen Wang.
IEEE Transactions on Robotics (T-RO), 2026.

A GPU implementation achieving 20x speedup
```
@article{zhan2026bundle,
  title = {Bundle Adjustment in the Eager Mode},
  author = {Zhan, Zitong and Xu, Huan and Fang, Zihang and Wei, Xinpeng and Hu, Yaoyu and Wang, Chen},
  journal = {IEEE Transactions on Robotics (T-RO)},
  year = {2026},
  url = {https://arxiv.org/abs/2409.12190},
  code = {https://github.com/sair-lab/bae},
  website = {https://sairlab.org/bae/},
  cover = {/img/posts/2026-03-24-bae/bae.gif},
  video = {https://youtu.be/ONH7qYGRdFc},
  addendum = {A GPU implementation achieving 20x speedup}
}
```
```
Zhan, Zitong and Xu, Huan and Fang, Zihang and Wei, Xinpeng and Hu, Yaoyu and Wang, Chen, "Bundle Adjustment in the Eager Mode," IEEE Transactions on Robotics (T-RO), 2026.
```
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization.
Yi Du, Zhipeng Zhao, Shaoshu Su, Sharath Golluri, Haoze Zheng, Runmao Yao, Chen Wang.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16953–16964, 2025.

Unifying point cloud processing via a single diffusion model
```
@inproceedings{du2025superpc,
  title = {{SuperPC}: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization},
  author = {Du, Yi and Zhao, Zhipeng and Su, Shaoshu and Golluri, Sharath and Zheng, Haoze and Yao, Runmao and Wang, Chen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  url = {https://arxiv.org/abs/2503.14558},
  year = {2025},
  pages = {16953--16964},
  code = {https://github.com/sair-lab/superpc},
  website = {https://sairlab.org/superpc/},
  cover = {/img/posts/2025-02-28-superpc/superpc_cover.mp4},
  addendum = {Unifying point cloud processing via a single diffusion model}
}
```
```
Du, Yi and Zhao, Zhipeng and Su, Shaoshu and Golluri, Sharath and Zheng, Haoze and Yao, Runmao and Wang, Chen, "SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
```
Vision-Language Memory for Spatial Reasoning.
Zuntao Liu, Yi Du, Taimeng Fu, Shaoshu Su, Cherie Ho, Chen Wang.
European Conference on Computer Vision (ECCV), 2026.
```
@inproceedings{liu2025vlm2,
  title = {Vision-Language Memory for Spatial Reasoning},
  author = {Liu, Zuntao and Du, Yi and Fu, Taimeng and Su, Shaoshu and Ho, Cherie and Wang, Chen},
  year = {2026},
  booktitle = {European Conference on Computer Vision (ECCV)},
  url = {https://arxiv.org/abs/2511.20644},
  website = {https://sairlab.org/vlm2/},
  cover = {/img/posts/2025-11-25-vlm2/vlm2.jpg}
}
```
```
Liu, Zuntao and Du, Yi and Fu, Taimeng and Su, Shaoshu and Ho, Cherie and Wang, Chen, "Vision-Language Memory for Spatial Reasoning," European Conference on Computer Vision (ECCV), 2026.
```
Lifelong Graph Learning.
Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian Scherer.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13719–13728, 2022.

Selected as Oral presentation (4.2%)
```
@inproceedings{wang2022lifelong,
  title = {Lifelong Graph Learning},
  author = {Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
  pages = {13719--13728},
  url = {https://arxiv.org/abs/2009.00647},
  code = {https://github.com/sair-lab/LGL},
  video = {https://youtu.be/711oo3Mi2Do},
  website = {https://sairlab.org/lgl/},
  cover = {/img/posts/2022-03-05-lgl/matching.jpg},
  addendum = {Selected as Oral presentation (4.2\%)}
}
```
```
Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian, "Lifelong Graph Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
```
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning.
Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer.
European Conference on Computer Vision (ECCV), pp. 52–68, 2020.

Selected as Oral presentation (2%)
```
@inproceedings{wang2020visual,
  title = {Visual Memorability for Robotic Interestingness via Unsupervised Online Learning},
  author = {Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Scherer, Sebastian},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2020},
  pages = {52--68},
  url = {https://arxiv.org/abs/2005.08829},
  code = {https://github.com/sair-lab/interestingness/tree/eccv},
  video = {https://youtu.be/o9LrDlemerE},
  addendum = {Selected as Oral presentation (2\%)},
  cover = {/img/posts/2020-05-01-interestingness/interestingness_video_short.mp4},
  website = {https://sairlab.org/interestingness/}
}
```
```
Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Scherer, Sebastian, "Visual Memorability for Robotic Interestingness via Unsupervised Online Learning," European Conference on Computer Vision (ECCV), 2020.
```
Kervolutional Neural Networks.
Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 31–40, 2019.

Selected as Oral presentation (5.6%)
```
@inproceedings{wang2019kervolutional,
  title = {Kervolutional Neural Networks},
  author = {Wang, Chen and Yang, Jianfei and Xie, Lihua and Yuan, Junsong},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {31--40},
  year = {2019},
  url = {https://arxiv.org/abs/1904.03955},
  code = {https://github.com/sair-lab/kervolution},
  cover = {/img/pubs/knn.mp4},
  addendum = {Selected as Oral presentation (5.6\%)}
}
```
```
Wang, Chen and Yang, Jianfei and Xie, Lihua and Yuan, Junsong, "Kervolutional Neural Networks," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
```