1． E-Learning

We believe that broadband, wireless, real-time, interactive, and multimedia learning are the five features of competitive e-learning. The e-learning lab conducts leading research and promotes state-of-the-art technological application in the field of e-learning and teaching. It brings together researchers, engineers, students, teachers and scholars to investigate how to build an intelligent distance-learning environment based on the Standard Natural Classroom (SNC) paradigm, which includes multimedia content delivery, information retrieval and data mining technologies. Due to its expertise, the e-learning lab is responsible for the planning and development of the educational network platform of Shanghai Jiao Tong University.

The e-learning lab is closely associated with the SJTU School of Continuing Education, SJTU’s distant college. Thanks to its large number of students, SOC serves as an ideal test-bed for the e-learning applications developed by the Lab. The research conducted by the e-learning lab is internationally recognized, both in research and by industry. The lab has been funded by INTEL for 10 straight years. In 2004, it assisted the MIT in holding the MIT OCW 2004 Academic Conference. In 2005, it won the funds from NSFC and BT and hosted the NSFC-BT bilateral e-learning conference. In 2006, it hosted the Distributed Learning Conference 2006 sponsored by NSF. Furthermore, it has established extensive cooperation with universities in Japan, the US and Europe. Since 2009, the lab is consortium member of the EU FP7 project ROLE.

2. Computer Graphics and Virtual Reality

The Digital Media and Data Reconstruction Lab(DMDRL) and The Visual Media and Data Management Lab.(VMDML) rely on SJTU-Microsoft Joint Laboratory of Intelligent Computing and Intelligent Systems , and has long been engaged in research and development in the computer graphics, digital entertainment and virtual reality, medical data applications and other related areas. Main research directions are:

(1) Computer graphics and multimedia technology: graphics algorithms, geometric design and modeling, image-based modeling and rendering, visual media processing.

(2) Digital arts and digital entertainment: computer animation, image/video composition and synthesis, film and cartoon design and production, virtual and augmented reality, advanced human-computer interaction, and digital entertainment and game developments.

(3) Medical data analysis and visualization: medical image processing and virtual surgery technology, computer-aided diagnosis and treatment, and algorithm and software system development in the related fields of applications.

Research Achievements

(1) In computer graphics and image processing, we have published more than 60 papers, and completed 15 national invention patents (5 licensed) on the topics of video composition and synthesis, computer animation.

(2) In the digital arts and digital entertainment, the development of digital media works have been successfully utilized by the art museums for digital art shows, and obtained the Shanghai Exhibition Outstanding Award .

(3) The digital medicine results has been demonstrated in World Expo 2010 in Shanghai.

DMDRL and VMDML have established long-term relationships with many research institutes worldwide, including the Chinese University of Hong Kong (HK SAR), University of Michigan (US), University of INSA-LYON (France), Waseda University(Japan), City University of Hong Kong(HK SAR), Tsinghua University(China), Microsoft Research Asia(China), OMRON Corporation(Japan), NTT Corporation(Japan), Pioneer Corporation(Japan), Shanghai Art Film Studio etc. These collaborative activities have been great success in fruitful academic exchanges and researches.

Representative papers：

1. Yuqiang Chen, Ou Jin, Guirong Xue, Jia Chen and Qiang Yang, “Visual Contextual Advertising: Bringing Textual Advertisements to Images”, AAAI, 2010.

2. Heng Luo, Changyong Niu, Ruimin Shen and Carsten Ullrich, “Sparse Group Boltzmann Machines”, AAAI 2011.

3. Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su and Yong Yu, “Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services”, AAAI 2011.

4. Xiao Jiang, Chengkai Li, Ping Luo, Min Wang and Yong Yu, “Prominent Streak Discovery in Sequence Data”, SIGKDD, pp. 1280-1288, 2011.

5.Yunbo Cao, Zhiyuan Chen, Jiamin Zhu, Pei Yue, Chin-Yew Lin and Yong Yu, “Leveraging Unlabeled Data to Scale Blocking for Record Linkage”, IJCAI 2011.

6. Liping Shen, Vic Callaghan，Ruimin Shen, “Affective e-Learning in Residential and Pervasive Computing Environments”, Journal of Information Systems Frontiers,Vol 10 No. 3, October 2008, Springer Netherlands, ISSN 1387-3326.

7．Yong Li, Bin Sheng, Lizhuang Ma, Wen Wu, Zhifeng Xie Temporally Coherent Video Saliency Using. Regional Dynamic Contrast. IEEE Transactions on Circuits and Systems for Video Technology, 2013.