This is Lexi Xu. In September 2009, I joined the Networks research group in the School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL), where I worked toward the PhD degree under the support of the China Scholarship Council (CSC) and QMUL joint scholarship. My research interest is radio resource management in future LTE-Advanced communication systems.
In QMUL, there is a great learning atmosphere and academic standard. During my QMUL study period, my supervisors and colleagues taught me cooperation skills in projects, efficient methods to do research, etc. Meanwhile, QMUL provided me a good platform to climb the ladder in the scientific research field. Upon my PhD graduation in May 2013, I had published eight first-author-papers, I also served as the TPC member as well as the reviewer of many top IEEE/Wiley/Springer conferences and journals.
QMUL has good reputation in the industrial field, and I got more than 10 offers. Finally, I joined China Unicom to carry on network optimisation and research work. The solid knowledge and skills I learned from QMUL help me a lot during my work. Cheers QMUL.
Heng Yang began his PhD studies in Sept 2011 after completing his masters degree at the National University of Defense Technology in China, sponsored by a QMUL/CSC scholarship. His PhD research in the Multimedia and Vision group under the supervision of Ioannis Patras, mainly lies in the areas of Computer Vision and Machine Learning. Heng is trying to make computers smarter by looking at people, focusing on faces in particular. He has developed a software for facial landmark localization and has made it available for cloud and mobile use.
The software has gained wide popularity not only for computer vision scientists, but also for researchers working in other fields such as brain sciences. Heng has published several papers in top conferences including CVPR, ICCV, and BMVC. He also serves as a reviewer for several major conferences and academic journals. Additionally, thanks to the flexibility of the QMUL/CSC scholarship, Heng is able to contribute to EU FP7 projects like REVERIE and has also successfully collaborated with researchers from different universities and research institutes like NICTA in Australia, The University of Hong Kong and CiMec in the University of Trento.
In addition to PhD research, Heng is very active in organizing events and has served as the President of the EECS++ Society and as acting President of CSSA (Chinese Scholars and Students Society). In 2013, he directed the first Chinese Spring Festival Gala in QMUL that attracted hundreds of attendees. Heng also currently works as a machine learning consultant for some financial companies.
Yading Song started his PhD in the Centre for Digital Music (C4DM) at Queen Mary University of London, and is supported by China Scholarship Council (CSC). Before he joined the C4DM, he obtained his BSc in Telecommunications Engineering with Management from the BUPT/Queen Mary Joint Programme in 2011, and also he was an intern at Siemens as well as a research assistant in the Speech Technology Group at the Technical University of Madrid for 6 months.
His main research interests include music information retrieval, music psychology and music recommendation systems. His papers have been published and presented at the top conferences such as the International Society for Music Information Retrieval (ISMIR) Conference. During his doctoral studies, he acted as the chair of the IEEE student branch at Queen Mary, and did an internship at Google.
Yading is also very active in volunteering. He performed for the London Olympics Opening Ceremony in 2012. Apart from this, he loves music, tennis and photography.
"I received my BEng from Sichuan University in Electrical Engineering in 2010 and then pursued a masters degree between 2010 and 2012. From 2012 I started my PhD study in the Computer Science Department in Queen Mary, University of London (QMUL) and received joint funding from China Scholarship Council (CSC) and QMUL. My major research topic includes action recognition from visual information. In the past two years, I worked closely with my supervisor Prof. Gong and Dr. Hospedales. We have published our research outcomes in peer-reviewed conferences and journals including ACM Multimedia and IEEE TCSVT. I also actively participated in Summer Schools organized by the QMUL Centre for Intelligent Sensing and the British Machine Vision Association."
Dantong Liu received her BEng degree in electronic engineering from Beijing University of Posts and Telecommunications (BUPT) in 2012. Afterwards she stared her PhD studies in the Networks group, Queen Mary University of London (QMUL), funded by a CSC/QMUL scholarship. Her research interests include radio resource optimization in Heterogeneous networks and intelligent Radio Resource Management for B3G/4G/5G wireless networks. During her two-year study in QMUL, she has published 2 SCI indexed journal papers, and more than 10 papers in top international conferences as first author, including IEEE Globecom, IEEE VTC and IEEE PIMRC conferences, etc. She also serves as reviewer for many high-profile journals, such as IEEE Journal on Selected Areas in Communications (JSAC), IEEE communication letters, etc. She has been involved in several research outreach activities, including partnership with researchers in Beijing University of Posts and Telecommunications (BUPT), China and the Centre Tecnològic Telecomunicacions Catalunya (CTTC) in Spain.
In addition, Dantong is very active in networking and organizing events. She serves as the president for QMUL-BUPT Joint Programme Alumni Association, and the secretary-general for British Branch of BUPT Alumni Association.
Dantong appreciates the support from both CSC and QMUL. She could not make all these achievements without such support