BAOSHEN GUO

I am a 4th-year Ph.D. student at Southeast University, under supervision of Prof. Shuai Wang. I am also working with Prof. Desheng Zhang and Prof. Tian He in research. Previously, I was a Graduate Research Trainee at the Cyber Physical Systems Lab, McGill University, under the supervision of Prof. Xue Liu.

My research interests are broadly in the areas of Cyber-Physical Systems, Human-Centered Computing, and Learning-based Decision-Making Applications in Smart Logistics.
You can contact me at guobaoshen AT seu DOT edu DOT cn. My publications can also be found at Google Scholar.

My long-term research goal is to build Robust, Interpretable, Safe, and Efficient decision-making technologies and AI model for real-world systems.

I will join M3S, part of MIT’ SMART program as a Postdoc in Fall 2024! I am open to research discussion and collaboration, please drop me an email if you are interested!

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selected publications

KDD 23

Towards equitable assignment: Data-driven delivery zone partition at last-mile logistics

Baoshen Guo, Shuai Wang, Haotian Wang, and 4 more authors

In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Bib HTML

@inproceedings{guo2023towards,
  title = {Towards equitable assignment: Data-driven delivery zone partition at last-mile logistics},
  author = {Guo, Baoshen and Wang, Shuai and Wang, Haotian and Liu, Yunhuai and Kong, Fanshuo and Zhang, Desheng and He, Tian},
  booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages = {4078--4088},
  year = {2023},
}

IMWUT 22

Wepos: Weak-supervised indoor positioning with unlabeled wifi for on-demand delivery

Baoshen Guo, Weijian Zuo, Shuai Wang, and 5 more authors

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2022

Bib

@article{guo2022wepos,
  title = {Wepos: Weak-supervised indoor positioning with unlabeled wifi for on-demand delivery},
  author = {Guo, Baoshen and Zuo, Weijian and Wang, Shuai and Lyu, Wenjun and Hong, Zhiqing and Ding, Yi and He, Tian and Zhang, Desheng},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
  volume = {6},
  number = {2},
  pages = {1--25},
  year = {2022},
  publisher = {ACM New York, NY, USA},
}

IMWUT 22

Concurrent order dispatch for instant delivery with time-constrained actor-critic reinforcement learning

Baoshen Guo, Shuai Wang, Yi Ding, and 4 more authors

In 2021 IEEE Real-Time Systems Symposium (RTSS), 2021

Bib

@inproceedings{guo2021concurrent,
  title = {Concurrent order dispatch for instant delivery with time-constrained actor-critic reinforcement learning},
  author = {Guo, Baoshen and Wang, Shuai and Ding, Yi and Wang, Guang and He, Suining and Zhang, Desheng and He, Tian},
  booktitle = {2021 IEEE Real-Time Systems Symposium (RTSS)},
  pages = {176--187},
  year = {2021},
  organization = {IEEE},
}