Hi, I am now an Associate Professor with Multimedi Institute of Tianjin University. I received the B.E and Ph.D. degree from Shanghai Jiao Tong Univeristy under the supervision of Prof. Xiaokang Yang and Prof. Guangtao Zhai. I am also supervised by Prof. Chang Wen Chen when visiting at SUNY@Buffalo from 2014-2015. My research interest includes: image/video processing and cross-modal video content analysis.

I have contributed to deep learning methods for solving artificial intelligence challenges in real-world applications, including image enhancement, anomaly detection, recommendation systems, and cross modal retrieval. My research has been published in top conferences and journals, including TIP, TCSVT, TMM, DSP, CVPR, and IFTC .Our group is supported by the National Natural Science Foundation of China in 2023、the Tianjin Natural Science Foundation, and the National Natural Science Foundation 2021 .

天津大学多媒体实验室（TJUMMG）中文简介

Laboratory Introduction

Tianjin University Multimedia Group was founded by Dr. Liu Jing and is affiliated to the School of Electrical Automation and Information Engineering of Tianjin University. The main goal is to enhance the understanding of multimedia through computer training. The laboratory is equipped with large models such as deep learning to improve the perceptual quality of digital multimedia content, so as to accurately identify and classify objects of interest to users and respond to the observed content. This laboratory belongs to the Institute of Television and Image Information, Ministry of Education, Tianjin University.Students who apply for my laboratory are free to choose their preferred research direction. At each stage of study, tutors will have in-depth discussions with students on recent scientific research progress, future direction planning, project promotion problems, etc., to help students tackle difficulties on the road to scientific research. Overcome difficulties.

Research Direction

In recent years, the laboratory has hosted or participated in projects such as the National Natural Science Foundation, the Ministry of Science and Technology’s key R&D plans, and enterprise cooperation. Each research direction is supported by provincial, ministerial or national projects. To view the specific research directions of the laboratory, please click here.

Master’s Student Recruitment

The master’s students to be recruited this year mainly participate in the Natural Science Foundation and general projects. Their main work is writing algorithms, building platforms, software simulation, etc., which requires students to have high software design capabilities and hands-on skills. Applicants are generally required to master the relevant knowledge of data structures and algorithms, and have the ability to select appropriate algorithms to solve problems according to specific problem characteristics; at the same time, they have relevant experience in software programming during the undergraduate study stage, and can be relatively proficient in programming languages such as: C, Python ,Matlab etc. Applicants who have participated in the Robotics Competition, the National College Student Electronic Design Competition, the College Student Software Design Competition, and the Big Data Challenge at the undergraduate level and won awards will be given priority. Interested students please contact the person in charge of the laboratory.

Openings

We are looking for self-motivated graduate students working with me. For prospective students, please send your resume and transcript to my email.

课题组招收2024年秋季入学硕士研究生，欢迎保研或考研同学邮件联系!