Publications

You can also find my papers on my Google Scholar profile.

Dissertation

• Learning dynamic priority scheduling policies with graph attention networks
  Zheyuan Wang
  PhD, Georgia Institute of Technology, Dec. 2022 [SMARTech]

Tutorial

• Graph Neural Networks: Learning Representations of Robot Team Coordination Problems
  Matthew Gombolay and Zheyuan Wang
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2022 [PDF] [Webpage] [Coding Tutorial]

Preprints

• Heterogeneous graph attention networks for learning diverse communication
  Esmaeil Seraj^, Zheyuan Wang^, Rohan Paleja^, Matthew Sklar, Anirudh Patel, and Matthew Gombolay
  arXiv:2108.09568, Aug. 2021 (^ Equal Contribution) [arXiv] [PDF]

• Learning to dynamically coordinate multi-robot teams in graph attention networks
  Zheyuan Wang and Matthew Gombolay
  arXiv:1912.02059, Dec. 2019 [arXiv] [PDF]

Journal Publications

• Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints
  Zheyuan Wang, Chen Liu, and Matthew Gombolay
  Autonomous Robots, vol. 46, no. 1, pp. 249-268, Jan. 2022 [Springer] [PDF] [Video]

• Learning scheduling policies for multi-robot coordination with graph attention networks
  Zheyuan Wang and Matthew Gombolay
  IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 4509-4516, June 2020 (Presented at IROS 2020) [IEEE Xplore] [PDF] [Blog] [Youtube] [Video]

• An automated behavior analysis system for freely moving rodents using depth image
  Zheyuan Wang, S. Abdollah Mirbozorgi, and Maysam Ghovanloo
  Medical & Biological Engineering & Computing, vol. 56, pp. 1807-1821, 2018 [Springer]

• Position and orientation insensitive wireless power transmission for EnerCage-Homecage system
  Yaoyao Jia, S. Abdollah Mirbozorgi, Zheyuan Wang, and Maysam Ghovanloo
  IEEE Transactions on Biomedical Engineering, vol. 64, no. 10, pp. 2439-2449, Oct. 2017 [IEEE Xplore]

Conference Publications (Long Papers)

• Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
  Batuhan Altundas, Zheyuan Wang, Joshua Bishop and Matthew Gombolay
  The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022 [IEEE Xplore]

• Stochastic resource optimization over heterogeneous graph neural networks for failure-predictive maintenance scheduling
  Zheyuan Wang and Matthew Gombolay
  The 32nd International Conference on Automated Planning and Scheduling (ICAPS), June 2022 [Webpage] [PDF] [Supplementary] [Poster] [Github]

• Learning efficient diverse communication for cooperative heterogeneous teaming
  Esmaeil Seraj^, Zheyuan Wang^, Rohan Paleja^, Daniel Martin, Matthew Sklar, Anirudh Patel, and Matthew Gombolay
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2022 (^ Equal Contribution) [PDF] [Github]

• Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints
  Zheyuan Wang and Matthew Gombolay
  Robotics: Science and Systems (RSS), July 2020 [RSS Page] [PDF] [Video]

Conference Publications (Short Papers)

• Scaling multi-agent reinforcement learning via state upsampling
  Luis Pimentel^, Rohan Paleja^, Zheyuan Wang, Esmaeil Seraj, James Pagan, and Matthew Gombolay
  2nd RSS Workshop on Scaling Robot Learning, June 2022 (^ Equal Contribution) [PDF]

• Towards learning fast human-robot coordination with recurrent neural schedule propagation on heterogenous graphs
  Batuhan Altundas, Zheyuan Wang, and Matthew Gombolay
  2nd ACC Workshop on Recent Advancement of Human Autonomy Interaction and Integration (ACC-HAI2), June 2022 [PDF]

• Deep convolutional neural networks for automated convulsion scoring using RGB-D images
  Zheyuan Wang, Azizi Ray, Kevin S. Murnane, and Maysam Ghovanloo
  IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, Oct. 2018 [IEEE Xplore] [Poster]

• An automated tracking system for Y-maze behavioral test using Kinect depth imaging
  Zheyuan Wang, Kevin Murnane, and Maysam Ghovanloo
  IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, Oct. 2017 [IEEE Xplore] [Poster] [Video]

• A wirelessly-powered homecage with animal behavior analysis and closed-loop power control
  Yaoyao Jia, Zheyuan Wang, Daniel Canales, Morgan Tinkler, Chia-Chun Hsu, Teresa E. Madsen, S. Abdollah Mirbozorgi, Donald Rainnie and Maysam Ghovanloo
  38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6323-6326, Aug. 2016 [IEEE Xplore]

• Object detection capability evaluation for SAR image
  Zheyuan Wang, Yuanxiang Li, Fangjie Yu, Wenxian Yu, Zhuhui Jiang, and Yongke Ding
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1548-1551, July 2016 [IEEE Xplore] [Slides]

• Towards a Kinect-based behavior recognition and analysis system for small animals
  Zheyuan Wang, S. Abdollah Mirbozorgi, and Maysam Ghovanloo
  IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, Oct. 2015 [IEEE Xplore] [Video]

• A closed-loop wireless homecage for optogenetic stimulation experiments
  Yaoyao Jia, Zheyuan Wang, S. Abdollah Mirbozorgi, and Maysam Ghovanloo
  IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, Oct. 2015 [IEEE Xplore]

• Live demonstration: A smart homecage system with behavior analysis and closed-loop optogenetic stimulation capacibilities
  Yaoyao Jia, Zheyuan Wang, S. Abdollah Mirbozorgi, and Maysam Ghovanloo
  IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-1, Oct. 2015 [IEEE Xplore]