Wei Jia      

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Wei Jia
Ph.D. Candidate
Department of Electrical and Computer Engineering
University of Missouri - Kansas City, Missouri, USA
Advisor: Dr. Zhu Li

Email: wj3wr AT umsystem DOT edu


I am a Ph.D. candidate in the Computer and Electrical Engineering department at University of Missouri - Kansas City. I am currently working with Dr. Zhu Li in the Multimedia Computing & Communication Lab.

I did my M.S. in Communication And Information System from Laboratory of Pattern Recognition which belonged to Information and Communication Engineering College of Beijing University of Posts and Telecommunications(BUPT), Beijing, China.

I did my B.Sc in Information automation at Information and Communication Engineering College of Beijing University of Posts and Telecommunications(BUPT), Beijing, China as well.

Research Interests

  • Future Video Coding.

  • Point Cloud Capture and Compression (PCC).

  • Deep learning.

Publications

Published and Accepted:

  • W. Jia, L. Li, Z. Li, and S. Liu, “Deep Learning Geometry Compression Artifacts Removal for Video-based Point Cloud Compression,” in International Journal of Computer Vision (IJCV), 2021. [bib] [PDF]

  • W. Jia, L. Li, A. Akhtar, Z. Li, and S. Liu. "Convolutional Neural Network-based Occupancy Map Accuracy Improvement for Video-based Point Cloud Compression" In IEEE Transactions on Multimedia (TMM), 2021. [bib] [PDF]

  • W. Jia, L. Li, Z. Li, X. Zhang, and S. Liu. " Residual-Guided In-Loop Filter Using Convolution Neural Network," In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. [bib] [PDF]

  • A. Akhatar, W. Gao, L. Li, Z. Li, W. Jia, and S. Liu, “Video-based Point Cloud Compression Artifact Removal,” in IEEE Transactions on Multimedia (TMM), 2021. [bib] [PDF]

  • W. Jia, L. Li, Z. Li, S. Zhao, S. Liu. “Scalable Hash From Triplet Loss Feature Aggregation For Video De-duplication”, Journal of Visual Communication and Image Representation (JVCIR) 72, 102908, 2020. [bib] [PDF]

  • W. Jia, L. Li, Z. Li, S. Zhao, and S. Liu. "Triplet Loss Feature Aggregation for Scalable Hash." In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1918-1922. IEEE, 2020. [bib] [PDF]

  • W. Jia, L. Li, Z. Li, X. Zhang, and S. Liu, “Residual Guided Deblocking with Deep Learning,” in ICIP 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. [bib] [PDF]

Service

  • The reviewer of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

  • The reviewer of Journal of Signal Processing Systems (JSPS).

  • The reviewer of IEEE International Conference on Visual Communications and Image Processing (VCIP).

Grading (Graduate Assistant)

  • Computer Science 101 0001 0003 Problem Solving & Programing I

  • Computer Science 191 0002 Discrete Structures I

  • Computer Science 201R 0002 0004 Problem Solving and Programming II

  • Computer Science 291 0002 0004 Discrete Structures II

Education

  • Ph.D. Computer and Electrical Engineering. - August 2018 - present

    University of Missouri - Kansas City, Missouri, USA. - August 2018 - present

    • Advisor: Dr. Zhu Li

    • Research: Multimedia Computing & Communication Lab.


  • M.Phil in Communication and Information System 2009.09～2012.04

    Laboratory of Pattern Recognition, Information and Communication Engineering College, Beijing University of Posts and Telecommunications(BUPT), Beijing, China

    • Advisor: WenChuan Yang

    • Research: Computer Network, Data mining, Cloud computing.


  • B.Eng in Information automation 2005.09～2009.06

    Information and Communication Engineering College, Beijing University of Posts and Telecommunications(BUPT) , Beijing, China