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Dr. Qing Yang

Associate Professor
Department of Computer Science and Engineering
University of North Texas

Biography

Qing Yang, Ph.D, is an associate professor in the Department of Computer Science and Engineering at University of North Texas, TX. He received his Ph.D degree in Computer Science and Software Engineering from Auburn University, AL, USA in 2011. His current research interests include connected and autonomous vehicles and Internet of Things. His research is funded by the U.S. National Science Foundation, U.S. Federal Highway Administration, Office of Naval Research, Toyota InfoTech Inc., Fujitsu Laboratories of America Inc., and the University of North Texas Office of the Vice President for Research and Innovation.

Selected Publications

Dr. Yang’s research has led to several important publications in leading journals and conferences. Some of his key works include:

Qu D, Chen Q, Bai T, Lu H, Fan H, Zhang H, Fu S, Yang Q. SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles. In2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024 Oct 14 (pp. 8905-8912). IEEE.
Dong S, Feng Y, Yang Q, Huang Y, Liu D, Fan H. Efficient multimodal semantic segmentation via dual-prompt learning. In2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024 Oct 14 (pp. 14196-14203). IEEE.
Song L, Valentine W, Yang Q, Wang H, Fang H, Liu Y. BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception. In2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) 2024 Jul 23 (pp. 1016-1026). IEEE.
Liu X, Liu X, Yi Z, Zhou X, Le T, Zhang L, Huang Y, Yang Q, Fan H. PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking. InProceedings of the IEEE/CVF International Conference on Computer Vision 2023 (pp. 20449-20458).
Qiu C, Yadav S, Squicciarini A, Yang Q, Fu S, Zhao J, Xu C. Distributed data-sharing consensus in cooperative perception of autonomous vehicles. In2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) 2022 Jul 10 (pp. 1212-1222). IEEE.
Yang Q, Fu S, Wang H, Fang H. Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities. IEEE Network. 2021 Jun 14;35(3):96-101.
Chen Q, Tang S, Yang Q, Fu S. Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds. In2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 2019 Jul 7 (pp. 514-524). IEEE.
Chen Q, Ma X, Tang S, Guo J, Yang Q, Fu S. F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds. InProceedings of the 4th ACM/IEEE Symposium on Edge Computing 2019 Nov 7 (pp. 88-100). Best Paper Award
Guo J, Ma X, Sansom A, McGuire M, Kalaani A, Chen Q, Tang S, Yang Q, Fu S. Spanet: Spatial pyramid attention network for enhanced image recognition. In2020 IEEE International Conference on Multimedia and Expo (ICME) 2020 Jul 6 (pp. 1-6). IEEE. Best Paper Award

Research Grants

Dr. Yang has received several significant research grants to further his work on connected vehicle systems and wireless communication. These include:

NSF Award #2010332: PI, Collaborative Research: Enabling Machine Learning based Cooperative Perception with mmWave Communication for Autonomous Vehicle Safety
NSF Award #2037982: PI, EAGER: SaTC: Privacy-Preserving Convolutional Neural Network for Cooperative Perception in Vehicular Edge Systems
NSF Award #2017564: PI, CyberTraining: Implementation: Small: Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure
NSF Award #1761641: PI, NeTS: EAGER: Intelligent Information Dissemination in Vehicular Networks based on Social Computing
NSF Award #2231519: Co-PI, IUCRC Phase I University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
NSF Award #2221942: Co-PI, FW-HTF-P: Understanding and Assessing Technology Innovation to Mitigate Distraction and Improve the Performance of Future Forklift Operators
NSF Award #2113805: Co-PI, IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
NSF Award #1852134: Co-PI, REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates

Awards & Recognition

2024 Most Cited Researchers: Dr. Yang was recognized as one of the world’s most cited researchers, a testament to his impactful contributions to the field of computer science and engineering.
UNT College of Engineering Research Award (2022): Awarded for his exceptional research in autonomous vehicle technologies and wireless communication.
Tech Titans of the Future Dr. Yang was nominated as one finalist of the Tech Titans of the Future 2021.
PACCAR Distinguished Fellow: Dr. Yang was selected as the PACCAR Distinguished Fellow of the College of Engineering at UNT. This appointment recognizes rising star tenure and tenure track assistant and associate professors at UNT for their accomplishments in research and scholarly activities.

Contact Information

Office: Discovery Park F253
Phone: 940-565-4899
Office Hours: Wednesdays, 3:00 - 4:30 PM