CV

Education

• University of California, San Diego, Sep. 2018 - Present
  • Ph.D in Electrical and Computer Engineering, Overall GPA: 4.0/4.0
  • Advisor: Prof. Truong Q. Nguyen
  • Research: Deep learning based multimodal medical image processing
• Beijing Institute of Technology, Sep. 2014 - Jun. 2018
  • B.S. in Electrical Engineering, Overall GPA: 91/100
  • Advisor: Prof. Ran Tao and Prof. Bing-zhao Li
  • Research: The fractional Fourier transform theory and applications

Experience

• Graduate Student Researcher, Jun. 2019 - Present
  • University of California, San Diego
  • Supervisor: Prof. Truong Q. Nguyen
  • Research on deep learning based multimodal medical image processing
• Intern in Camera Essential Feature, June 2020 - Sep. 2020
  • Qualcomm
• Teaching Assistant, Jan. 2020 - Mar. 2020
  • University of California, San Diego
  • TA for ECE 161B Digital Signal Processing I

Publications

Also see pulication page.

[1] Y. Wang, J. Zhang, M. Cavichini, D. G. Bartsch, W. R. Freeman, T. Q. Nguyen, C. An, “Robust content-adaptive global registration for multimodal retinal images using weakly supervised deep-learning framework”, IEEE Transactions on Image Processing, Feb. 2021, pp 3167-3178.

[2] Y. Wang, J. Zhang, M. Cavichini, D. G. Bartsch, W. R. Freeman, T. Q. Nguyen, C. An, “Study on correlation between subjective and objective metrics for multimodal retinal image registration”, IEEE Access, Oct. 2020.

[3] M. Cavichini, C. An, D. G. Bartsch, M. Jhingan, M. J. Amador, C. P. Long, J. Zhang, Y. Wang, A. X. Chan, S. Madala, T. Nguyen, W. R. Freeman, “Artificial intelligence for automated overlay of fundus camera and scanning laser ophthalmoscope images”, Translational vision science & technology, Oct. 2020.

[4] C. An, Y. Wang, J. Zhang, D. G. Bartsch, W. R. Freeman, “Fovea localization neural network for multimodal retinal imaging”, Applications of Machine Learning 2020, Vol. 11511. International Society for Optics and Photonics, Aug. 2020.

[5] Y. Wang, J. Zhang, C. An, M. Cavichini, M. Jhingan, M. J. Amador, C. P. Long, D. G. Bartsch, W. R. Freeman, T. Q. Nguyen, “A segmentation based robust deep learning framework for multi-modal retinal image registration”, 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020, pp. 1369-1373.

[6] Y. Wang and B. Li, “The fractional Fourier transform on graphs: sampling and recovery”, in Proceedings of 2018 14th IEEE International Conference on Signal Processing, Beijing, China, Aug. 2018, pp. 1103-1108. (Oral Presentation)

[7] Y. Wang, B. Li and Q. Cheng, “The fractional Fourier transform on graphs”, in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2017, Kuala Lumpur, Malaysia, Dec. 2017, pp. 105-110. (Oral Presentation)