Invited Speakers
Invited Speeches

Prof. Le Wu

Hefei University of Technology, China

Dr. Le Wu is a professor at Hefei University of Technology, China. She received the Ph.D. degree from the University of Science and Technology of China. Her current research interests focus on user-centric intelligent systems, such as recommendation, user modeling, and fairness and explainability issues for user-centric applications. She has published 50+ academic papers in leading journals (e.g., TKDE, TOIS, TNNLS, TMSC, TIST, TMM) and conferences (e.g., SIGIR, WWW, AAAI, IJCAI, KDD, MM, SDM, CIKM). She was honored to receive the Distinguished Dissertation Award from China Association of Artificial Intelligence (CAAI) in 2017, and the paper awards from SIAM International Conference on Data Mining (“Best of SDM 2015”). She regularly serves as a reviewer or (senior) PC member for top journals and conferences.

Assoc. Prof. Wei Liu

Shanghai Jiao Tong University, China

Wei Liu received the Ph.D. degree from the Department of Automation, Shanghai Jiao Tong University. He was a postdoctoral research fellow of The University of Adelaide and The University of Hong Kong. He is currently an associate professor with the Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China. His major research interests are robust and fast image filtering and the applications in computer vision and graphics. He has published several papers in major journals and conferences including TPAMI/TOG/TIP/TMM/TCSVT and ICCV/AAAI/IJCAI/IROS.

Speech Title: "Fast and Robust Image Filtering: Methods and Applications"

Abstract: In this talk, I will introduce our recent work on fast and robust image filtering. For fast image filtering, I will talk about our iterative least squares (ILS) framework for fast global image smoothing. Our ILS is highly parallel which can be accelerated through either multi-thread computing and GPU acceleration. It is able to process high-resolution images (e.g. 1080p) at a real-time processing rate on a GPU. In addition, our method can also yield high smoothing quality which is comparable to the state-of-the-art approaches but at a much lower computational cost. For robust image filtering, I will present the generalized framework for edge-preserving and structure-preserving image smoothing proposed by us. Our method is able to achieve various smoothing behaviors and the smoothing property that is not able to be achieved by previous approaches. It is thus applicable to many tasks and the stat-of-the-art performance is also achieved.

Assoc. Prof. Qiufeng Wang

Xi’an Jiaotong-Liverpool University, China

Dr. Qiufeng Wang is currently an associate professor and the head of Department of Intelligent Science at School of Advanced Technology in Xi’an Jiaotong-Liverpool University (XJTLU). He received the Ph.D degree in Pattern Recognition and Intelligence Systems from Institute of Automation, Chinese Academy of Sciences (CASIA) in July 2012, and won Presidential Scholarship of Chinese Academy of Sciences. During 2012 to 2013, he worked as an Assistant Professor at the National Laboratory of Pattern Recognition (NLPR) in CASIA. During 2013 to 2017, he worked at Microsoft and joined in XJTLU in Feb. 2017.  His research interests include pattern recognition and machine learning, specially document analysis and recognition. Dr. Wang has published 50+ papers, including IEEE T-PAMI, ICCV, ICML, and published one book about deep learning in Springer. His research has been supported by both government and industry, including NSFC young programme, NSFC general programme, and CCF-Tencent.

Assoc. Prof. Congduan Li

Sun Yat-sen University, China

Congduan Li (IEEE Member) received the B.S. degree from the University of Science and Technology Beijing, China, in 2008, the M.S. degree from Northern Arizona University, AZ, USA, in 2011, and the Ph.D. degree from Drexel University, PA, USA, in 2015, respectively, all in Electrical Engineering. From October 2015 to August 2018, he was a Post-Doctoral Research Fellow with the Institute of Network Coding, The Chinese University of Hong Kong and with the Department of Computer Science, City University of Hong Kong. He is currently an Associate Professor with the School of Electronics and Communication Engineering, Sun Yat-sen University, China. His research interests lie in the broad areas related with networks, such as coding, security, wireless, storage, and caching.

Assoc. Prof. Yan Liu

University of Chinese Academy of Sciences, China

Yan Liu received the B.S. degree and the M.S. degree from Shandong University, Jinan, China, in 2001 and 2004, respectively, and the Ph.D. degree from the Institute of Electronics, Chinese Academy of Sciences, Beijing, China, in 2007. She was a visiting Scholar with University of Illinois at Urbana-Champaign (UIUC) from Dec. 2013 to Jan. 2015. She is currently an Associate Professor with the School of Computer Science and Technology, University of Chinese Academy of Sciences. Her research interests include signal processing, image processing and machine learning with applications to biomedical signal and images.

Asst. Prof. Yun Gu

Shanghai Jiao Tong University, China

Yun Gu received the Ph.D. degree from the Department of Biomedical Engineering, Shanghai Jiao Tong University. He is currently an Assistant Professor with the Institute of Medical Robotics and Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China. He has published in major conferences and journals including MedIA/IEEE TMI/TIP/TNNLS/TBME/JBHI and MICCAI/ICRA/IROS. His major research interests are computer-assisted surgical planning and medical image analysis.