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(IEEE Fellow)
• Sep. 2018 – June. 2020: Master (honored)
  • Harbin Institute of Technology
• 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 et al, Return to Basics: Very Simple Graph Contrastive Learning via Noise Cancellation Principle, ICML, under review.
• Y. Zhao et al, Uncertainty Principle for Vertex-Time Graph Signal Processing, IEEE Transactions on Signal Processing, under review.
• Y. Zhao et al, Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks,IEEE Transactions on Pattern Analysis and Machine Intelligence, under review.
• Y. Zhao et al, Graph Distribution-valued Signals: A Wasserstein Space Perspective, ICASSP 2026.
• F. Ji¹, Y. Zhao¹(equal contribution) et all, Graph distributional signals for regularization in graph neural networks, IEEE Transactions on Signal and Information Processing over Networks,. 2025.
• F. Ji¹, Y. Zhao¹(equal contribution) et all, Rethinking graph neural networks from a geometric perspective of node features, ICLR 2025.
• Y. Zhao et al, Generalized graph signal reconstruction via the uncertainty principle, ICASSP 2025.
• Y. Zhao, Y. Li, H. Zhang, V. Monga, and Y. Eldar, Deep, convergent, unrolled non-blind image deconvolution, IEEE Transactions on Computational Imaging, 2024.
• 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

IE4424: Machine Learning Design & Application

IE4497 Pattern Recognition and Deep Learning

IE2210: Signals and Systems

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