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Author Information
Abdullah Salama (SAP SE)
Wei-Cheng Chang (Carnegie Mellon University)
Aidan Gomez (University of Toronto)
Raphael Tang (University of Waterloo)
FUXUN YU (George Mason University)
Zhendong Zhang (Xidian University)
Yuxin Zhang (Zhejiang University)
Ji Lin (Tsinghua University)
Stephen Tiedemann (Sony Deutschland GmbH)
Kun Bai (Tencent)
Sivaramakrishnan Sankarapandian (Proscia Inc)
Finished my Masters at Boston University, now working as a Research Engineer at Proscia
Marton Havasi (University of Cambridge)
Jack Turner (University of Edinburgh)
Hsin-Pai Cheng (Duke University)
Yue Wang (Rice University)
Xiaofan Xu (Intel)
Ruizhou Ding (Carnegie Mellon University)
Haoji Hu (Zhejiang University)
Haoji Hu was born in Chongqing, China, in 1979. He received his BSc degree in electrical engineering from Tsinghua University, China, in 2002. In 2007, he obtained his PhD in audio-visual person identification from the University of Southampton, UK. From 2007 to 2009, he was a postdoctral researcher in Communications and Romote Sensing Laboratory, Université catholique de Louvain, Belgium. From 2009, he joined Department of Information Science and Electronic Engineering, Zhejiang University as an Assistant Professor. He has been promoted to Associate Professorship since 2013. His research interests include biometrics (face and speaker recognition), image segmentation and digital watermarking. Dr. Hu has published more than 40 research papers in world-renowned journal and conferences, which include Pattern Recognition, IEEE Transactions on Image Processing, CVPR, ICME, ICPR, ICASSP, ICIP, etc. He also serves as reviewer for world-renowned journals and conferences such as JVCI, TIFS, ICIP, ICME, etc. Dr. Hu has obtained several national scientific projects and is the holder of 5 national patents.
Mohammad Shafiee (University of Waterloo)
Christopher Blake (Borealis AI)
Chieh-Chi Kao (Amazon Alexa)
Daniel Kang (Stanford)
Yew Ken Chia (Red Dragon AI)
Amir Ashouri (University of Toronto)
I completed my Ph.D. with cum laude entitled: "Compiler Autotuning using Machine Learning Techniques". It won the best IEEE (Italy section) Ph.D. thesis award of 2016. As of Jan 2017, I am a Postdoc Fellow @ University of Toronto tackling optimization problems using deep learning. Specifically, I am interested in sparsification of CNNs to be deployed on mobile devices.
Sourya Basu (University of Illinois at Urbana-Champaign)
Simon Wiedemann (Fraunhofer HHI)
Thorsten Laude (Leibniz University Hannover)
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