Lin Jiang

I am a Ph.D. candidate in the Department of Computer Science at Florida State University and a member of the Data, Computing, and Society (DCS) Lab, under the supervision of Prof. Guang Wang. I received both my B.S. and M.S. degrees from Southeast University, China, where I worked with Prof. Shuai Wang.

My research interests lie in generative AI, diffusion models, trustworthy decision-making and cyber-physical systems. Currently, I study diffusion-based time-series generation from multiple perspectives, including fidelity, diversity, efficiency, and scalability. Within this area, I am especially interested in extreme-aware generation. I have received the Graduate Student Research Award and the Ted and Syauchen Baker Scholarship from Florida State University, as well as travel grants to attend IJCAI, SDM, and KDD. I welcome conversations and collaborations, including directions beyond my present projects.

My publications are listed on the Publications page and on Google Scholar.

News

[2026/04] Our paper about Human Activity Trace Generation is accepted by ACM IMWUT/UbiComp 2026.
[2026/01] One co-first author paper about Human-robot Collaboration is accepted by ICRA 2026.
[2025/11] Our paper about Trajectory Generation with Diffusion Models is accepted by AAAI 2026.
[2025/11] I am very glad to serve on the Technical Program Committee for ACM SIGSPATIAL SpatialConnect 2025. It is an exciting and inspiring event!
[2025/08] Our paper about Uncertainty Quantification of GNNs is accepted by ACM SIGSPATIAL 2025 (full research paper track).

More news

Selected Publications

IJCAI'25

HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing

Lin Jiang, Yu Yang, and Guang Wang

In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025

BIB HTML

@inproceedings{jiang2025hcriede,
  title = {{HCRide}: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing},
  author = {Jiang, Lin and Yang, Yu and Wang, Guang},
  booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2025},
}

IJCAI'25

Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration

Lin Jiang, Dahai Yu, Rongchao Xu, and 2 more authors

In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025

BIB HTML

@inproceedings{jiang2025upro,
  title = {Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration},
  author = {Jiang, Lin and Yu, Dahai and Xu, Rongchao and Tang, Tian and Wang, Guang},
  booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2025},
}

KDD'23

FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services

Lin Jiang, Shuai Wang, Baoshen Guo, and 3 more authors

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

BIB HTML

@inproceedings{jiang2023faircod,
  title = {{FairCod}: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services},
  author = {Jiang, Lin and Wang, Shuai and Guo, Baoshen and Wang, Hai and Zhang, Desheng and Wang, Guang},
  booktitle = {Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year = {2023},
}

ICRA'26

UrbanHuRo: A Two-Layer Human-Robot Collaboration Framework for the Joint Optimization of Heterogeneous Urban Services

Tonmoy Dey⁺, Lin Jiang⁺, Zheng Dong, and 1 more author

In IEEE International Conference on Robotics and Automation (ICRA), 2026

+ Co-first authors (equal contribution).

BIB HTML

@inproceedings{jiang2026urbanhuro,
  title = {{UrbanHuRo}: A Two-Layer Human-Robot Collaboration Framework for the Joint Optimization of Heterogeneous Urban Services},
  author = {Dey+, Tonmoy and Jiang+, Lin and Dong, Zheng and Wang, Guang},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2026},
  note = {+ Co-first authors (equal contribution).},
}

IMWUT'26

SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces

Rongchao Xu, Lin Jiang, Dahai Yu, and 2 more authors

In The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2026

BIB HTML

@inproceedings{jiang2026synhat,
  title = {{SynHAT}: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces},
  author = {Xu, Rongchao and Jiang, Lin and Yu, Dahai and Li, Ximiao and Wang, Guang},
  booktitle = {The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)},
  year = {2026},
}