8月20日，应许信顺教授邀请，澳大利亚昆士兰大学申恒涛(Heng Tao Shen)教授访问MIMA研究组，并作了题为“Big social multimedia: opportunities and challenges ”的报告。

报告会前，申教授和实验室的同学进行了交流。报告会上，申教授首先在大数据背景下，介绍了社交多媒体数据的“4V”特性，并且结合具体的数据处理流程，指出了多媒体内容分析和社交数据分析融合，可能存在的机遇以及挑战——针对大数据，如何设计可扩展的模型和系统；然后介绍了应对挑战的一些基本的方法，例如：算法的简化，云计算，索引，哈希等，以及国外最新的研究方向；最后简单的介绍了其所在的研究团队在Media Tagging，Near‐duplicates Utilization，Data Co‐Reduction (DCR)，Hashing等方面的一些最新的研究成果。报告会后，申教授与许信顺教授及研究组同学就相关问题进行了交流和探讨。申教授的报告，给组内同学了解社交多媒体领域的最新技术发展提供了机会，同学们深受启发。

申恒涛教授个人简介：
Heng Tao Shen is a Professor of Computer Science and an ARC Future Fellow in the School of Information Technology & Electrical Engineering (ITEE) at the University of Queensland (UQ). He obtained his BSc with 1st class Honours and PhD from Department of Computer Science, National University of Singapore (NUS) in 2000 and 2004 respectively. He then joined the University of Queensland as a Lecturer, Senior Lecturer, Reader, and became a Professor in late 2011. His research interests mainly include Multimedia/Mobile/Web Search, and Big Data Management on spatial, temporal, multimedia and social media databases. Heng Tao has extensively published and served on program committees in most prestigious international forums of multimedia and database areas. He received the Chris Wallace Award for outstanding Research Contribution in 2010 conferred by Computing Research and Education Association, Australasia. He is currently an Associate Editor of IEEE Transactions of Knowledge and Data Engineering, and will serve as a PC Co-Chair for ACM Multimedia 2015. He is a Visiting Professor in Nagoya University (2013) and National University of Singapore (2014).