CV

Education

• B.E. in Communication Engineering, Habrin Intitute of Technology, 2014-2018 (honored)
  • GPA: 92/100 Ranking: 1 / 88
• M.E. in Information and Communication Engineering, Harbin Intitute of Technology, 2018-2020(honored)
  • GPA: 89.12/100 Ranking: Excellent Master Thesis (top 3)

Work Experience

• Sep. 2020 – Aug. 2022: Research Assistant
  • Penn State University, USA
  • Supervisor: Prof. Vishal Monga
• Sep. 2018 – June. 2020: Research Assistant
  • Harbin Institute of Technology
  • Supervisor: Prof. Jun Shi
• Sep. 2016 – Aug. 2017: Lab Manager
  • Robot Lab of School of Information Science and Engineering, Harbin Institute of Technology
  • Duties included: Team Leader for Robot Competition

Publications

• Y. Zhao, Y. Li, H. Zhang, V. Monga, and Y. Eldar, Deep, convergent, unrolled non-blind image deconvolution, IEEE Transactions on Computational Imaging, Major revision.
• F. Ji¹, Y. Zhao¹(equal contribution), S. H. Lee, K. Zhao, W. P. Tay, and J. Yang, Graph distributional signals for regularization in graph neural networks, IEEE Transactions on Signal and Information Processing over Networks, Under review.
• Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, Coupling graph neural networks with fractional order continuous dynamics: A robustness study, in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024
• Q. Kang¹, Y. Zhao¹, K. Zhao¹(equal contribution), X. Li, Q. Ding, W. P. Tay, and S. Wang, Advancing graph neural networks through joint time-space dynamics, NeuPIS workshop, 2023. [pdf]
• Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, Coupling graph neural networks with non-integer order dynamics: A robustness study, NeuPIS workshop, 2023. [pdf]
• Y. Zhao, Y. Li, H. Zhang, V. Monga, and Y. Eldar, A convergent neural network for non-blind image deblurring, IEEE International Conference on Image Processing (ICIP), pp. 1505-1509, 2023. [pdf]
• G. Chen¹, Y. Zhao¹(equal contribution), Y. Wang, and K. Yap, SSN: stockwell scattering network for SAR image change detection, IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. [pdf]
• J. Shi, G. Chen, Y. Zhao, and R. Tao, Synchrosqueezed fractional wavelet transform: a new high-resolution time-frequency representation, IEEE Transactions on Signal Processing, vol. 71, pp. 264-278, 2023. [pdf]
• J. Shi, Y. Zhao (corresponding author), W. Xiang, V. Monga, X. Liu, and R. Tao, Deep scattering network with fractional wavelet transform, IEEE Transactions on Signal Processing, vol. 69, pp. 4740-4757, 2021. [pdf]
• J. Shi, X. Liu, Y. Zhao, S. Shi, X. Sha, and Q. Zhang, Filter design for constrained signal reconstruction in linear canonical transform domain, IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6534-6548, 2018. [pdf]
• Y. Zhao, F. Dai, and J. Shi, A dredge traffic algorithm for maintaining network stability, The 7th International Conference on Communications, Signal Processing, and Systems (CSPS), July, 2018, Dalian, China. [pdf]
• Q. Luo, X. Yan, Y. Zhao, et al, An uncertainty analysis method based on least-squares positioning (in Chinese). China Patent. Authorization No. CN107219499A.
• X. Yan, Q. Luo, Y. Zhao, et al, A outlier-elimination method for range measurement based on nanoLOC (in Chinese). China Patent. Authorization No. CN106125070A.

Teaching

Teaching experience 1

Teaching experience 2

Service and Leadership

• IEEE Graduate Membership
• IEEE Signal Processing Society (SPS) Membership
• Reviewer: IEEE TSP

Skills

• Programming Skills: C/C++, Python/Pytorch, Matlab, Verilog, Latex
• Mathematical Skills: Matrix Analysis, Linear Algebra, Calculus, Convex Optimization
• Language Skills: Chinese (Home Language), English (Proficient: IELTS 7, GRE 332+4)
• Sport Skills: Swimming, Badmintion, Table Tennis