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Texas A&M University Prof. Zixiang Xiong visiting the Computer School of Wuhan University

Author:admin Date:2018-01-23 11:27:11 Click:

    Texas A&M University Prof. Zixiang Xiong visiting the Computer School of Wuhan University

    On Friday, January 12, 2018, professor Zixiang Xiong who is the faculty of Department of electronics and Computer Engineering at Texas A&M University, called on the Computer School of Wuhan University for academic exchanges.

    Prof. Xiong gave a speech at he’s own academic experience and research area. First of all, he played a video on “Augmented Reality Sandpit Simulating Ant Colonies” for 15 minutes to attract everyone's eye. Then, he gave a lecture titled “Adaptive boosting for image denoising: Beyond low-rank representation and sparse coding”, which is their latest research in the field of denoising. Firstly, he reviewed the previous work in the relevant domain, and introduced several  methods, and analyzed the characteristics, advantages and disadvantages of various methods.

    In view of the existing problems in the image denoising work, Prof. Xiong's group proposed rank-1 based fixed-point analysis method. Prof. Xiong introduced the above idea and progress to us, and proofed its convergence, and demonstrated the experimental results of the technology and the some other related applications. In the report, Prof. Xiong also introduced another achievement of his research group, which is” ON THE ENERGY-DELAY TRADEOFF IN STREAMING DATA”. He’s research studied basic tradeoffs between energy and delay in wireless communication systems using finite blocklength theory, and results again showed that the energy decreases quite slowly with increasing delay.

    During the free exchange stage, a participating student asked questions enthusiastically. Dr. Ding asked Prof. Xiong for advice on the application of deep learning method in denoising domain, and Dr. Wang consulted the main form of noise distribution in images. Prof. Xiong patiently introduced the relationship between deep learning and the traditional machine learning theory, and also introduced some kinds of noise sources.

    Prof. Xiong’ vivid report, made the participants understand and learn the latest researches in the domain of image and communication, and made a positive impact on all the participants.

Attached: Biography of Prof. Zixiang Xiong

    Zixiang Xiong received the Ph.D. degree in Electrical Engineering in 1996 from the University of Illinois at Urbana-Champaign. From 1995 to 1997, he was with Princeton University, first as a visiting student, then as a research associate. From 1997 to 1999, he was with the University of Hawaii. Since 1999, he has been with the Department of Electrical and Computer Engineering at Texas A&M University, where he is a professor. During Spring 2010, he spent his sabbatical leave at Stanford University. He received an NSF Career Award in 1999, an ARO Young Investigator Award in 2000, and an ONR Young Investigator Award in 2001. He is co-recipient of the 2006 IEEE Signal Processing Magazine best paper award, top 10% paper awards at the 2011 and 2015 IEEE Multimedia Signal Processing Workshops, and an IBM best student paper award at the 2016 IEEE International Conference on Pattern Recognition. He served as associate editor for the IEEE Trans. on Circuits and Systems for Video Technology (1999-2005), the IEEE Trans. on Image Processing (2002-2005), the IEEE Trans. on Signal Processing (2002-2006), the IEEE Trans. on Systems, Man, and Cybernetics (part B) (2005-2009), and the IEEE Trans. on Communications (2008-2013). He is currently an associate editor for the IEEE Trans. on Multimedia. He is a fellow of the IEEE.