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Liu, Ying

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A photo of Professor Ying Liu

Ying Liu

Biography

Dr. Ying Liu is an Associate Professor in the Department of Computer Science and Engineering at 58ºÚÁÏÍø. She graduated from the Department of Electrical Engineering, The State University of New York at Buffalo. Her main research interests are in deep learning-based image and video processing and coding, coding for machines, point cloud coding, vision-language models, and generative AI. She is a member of IEEE and a member of SPIE. Her research articles are published in prestigious journals such as the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Consumer Electronics, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Pattern Recognition (Elsevier), and many flagship conferences. She serves as an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology, and she also serves as the technical program committee member of multiple international conferences. She is the Secretary/Treasurer of the Asia-Pacific Signal and Information Processing Association (APSIPA) US Chapter.

Research

  1. Image and Video Processing, Computer Vision, Deep Learning
  2. Image and Video Coding, Coding for Machines, Point Cloud Coding
  3. Vision-Language Model, Generative AI
Courses
  • COEN 166/266 Artificial Intelligence
  • COEN 140 Machine Learning and Data Mining
  • COEN 194/195/196 Senior Design Project
  • COEN 240 Machine Learning
  • COEN 347 Advanced Techniques in Video Coding
Publications

Journals

  •  P. Du, Y. Liu, N. Ling, “, Apr. 2024.
  • M. Mathai, Y. Liu, N. Ling, “ IEEE Access, pp. 39589 - 39602, Mar. 2024.
  • M. G. Schimpf, N. Ling, Y. Liu, IEEE Transactions on Consumer Electronics, Mar. 2023. 
  • F. Akhyar, Y. Liu, C.‑Y. Hsu, T. K. Shih, C.‑Y. Lin, The International Journal of Advanced Manufacturing Technology, vol. 126, pp. 1093 - 1107, Mar. 2023. 
  • B. Hou, Y. Liu, N. Ling, Y. Ren, L. Liu, “ APSIPA Transactions on Signal and Information Processing, vol. 12, no. 1, pp. 1 - 84, Jan. 2023.
  • B. Hou, Y. Liu, N. Ling, L. Liu, Y. Ren, IEEE Access, vol. 9, pp. 148433 - 148448, Oct. 2021. 
  • Y. Liu, K. Tountas, D. A. Pados, S. N. Batalama, and M. J. Medley, Elsevier Journal of Pattern Recognition, 2019.
  • Y. Liu and J. Kim, “ Multimedia Tools and Applications, Apr. 2019.

Conference Proceedings

  • T. Shen, W.-H. Peng, H.-C. Shih, Y. Liu, IEEE Int. Symp. Circuits and Systems (ISCAS), Singapore, May 2024.
  • Z. Zhang and Y. Liu, IEEE Int. Symp. Circuits and Systems (ISCAS), Singapore, May 2024.
  • Y. Pei, Y. Liu, N. Ling, “ IEEE Conf. Visual Commun. and Image Process. (VCIP), Jeju, Korea, Dec. 2023.
  • T. Shen, Y. Liu, SPIE Defense + Commercial Sensing, Conference: Big Data V: Learning, Analytics, and Applications, Orlando, FL, May 2023.
  • Yifei Pei, Ying Liu, Nam Ling, Yongxiong Ren, Lingzhi Liu, in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, May 2023. 
  • Tianma Shen, Ying Liu, in Proceedings of the SPIE Defense + Commercial Sensing, Conference 12522, Big Data V: Learning, Analytics, and Applications, Orlando, FL, May 2023. 
  • Pengli Du, Ying Liu, Nam Ling, Yongxiong Ren, and Lingzhi Liu,,” in Proceedings of the Picture Coding Symposium (PCS), San Jose, CA, Dec. 2022. 
  • Zhongpeng Zhang, Ying Liu, in Proceedings of the Picture Coding Symposium (PCS), San Jose, CA, Dec. 2022. 
  • Mareeta Mathai, Ying Liu, Nam Ling, in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, May-June 2022. 
  • Pengli Du, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren, Ming-Kai Hsu, “ in Proceedings of the SPIE Defense + Commercial Sensing, Conference: Big Data IV: Learning, Analytics, and Applications, Orlando, Florida, Apr. 2022. 
  • Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren, Ming-Kai Hsu, in Proceedings of the IEEE Conference on Visual Communications and Image Processing (VCIP), Munich, Germany, Dec. 2021. 
  • Yifei Pei, Ying Liu, Nam Ling, Lingzhi Liu, and Yongxiong Ren,in Proceedings of the IEEE International Symposium on Circuits and Systems, Daegu, Korea, May 2021. 
  • Ying Liu, Pengli Du, and Yuzhu Li, “ in Proceedings of the SPIE Symposium on Defense + Commercial Sensing, Conference 11730, Big Data III: Learning, Analytics, and Applications, Orlando, FL, Apr. 2021. 
  • Michael Schimpf, Nam Ling, Yunhui Shi, and Ying Liu, in Proceedings of the IEEE International Conference on Consumer Electronics (ICCE), 2021. 

Thesis

  • Decoding of Purely Compressed Sensed Video
    Y. Liu (advisor: Prof. Dimitris A. Pados), Ph.D. Thesis, Department of Electrical Engineering, SUNY Buffalo, June 2012.