Recently, Liu Xin from the College of Computer Science and Technology of Huaqiao University (HQU) has published a paper entitled "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval" in the world leading journal IEEE Transactions on Pattern Analysis and Machine Intelligence as the first author.

IEEE Transactions on Pattern Analysis and Machine Intelligence is one of the top journals in the fields of artificial intelligence, pattern recognition, image processing and computer vision with its impact factor of 17.73. This journal, is an influential journal in the fields of computer science and artificial intelligence, with particular emphasis on the frontiers and innovative findings in pattern analysis and machine intelligence. It is currently listed in the JCR Q1 of Chinese Academy of Science (TOP Journals) and the Class A journals of China Computer Federation (CCF)

The affiliation of the first author is the College of Computer Science and Technology of HQU, and those of the co-authors are the State University of New York at Stony Brook (SBU) and Hong Kong Baptist University (HKBU). The research has been sponsored by the National Natural Science Foundation of China (NSFC) and HQU Science and Technology Innovation Fund Project for Young and Middle-Aged Teachers.

Paper Link: https://ieeexplore.ieee.org/document/8827941