Noah’s Ark Lab co-organized the first “Workshop on Crowd-sourcing and Human Computation for Recommender Systems” on 12th October, 2013, at the ACM Conference on Recommender Systems held in Hong Kong.
The workshop was chaired by Prof. Irwin King of the Chinese University of Hong Kong, Dr. Kuan-Ta Chen of Academic Sinica, Taiwan, and Dr. Albert Au Yeung of Noah’s Ark Lab. It was designed to be a venue for researchers to present their latest works on how crowd-sourcing and human computation can be applied to improve recommender systems. The workshop invited Prof. Jane Hsu, professor and chairman of the Department of Computer Science and Information Engineering at the National Taiwan University, as the keynote speaker, who shared about her research projects on human computation and crowd-sourcing.
The workshop was attended by over 50 participants, and was concluded by a brain-storming session in which the participants actively shared and discussed about the research challenges in related topics. The workshop was the first of its kind to be held in the Asian region.
Prof. Jane Hsu of National Taiwan University
(From left to right) Prof. Jane Hsu, Dr. Albert Au Yeung and Dr. Kuan-Ta Chen
Huawei Noah’s Ark Lab received several academic visitors from the US, Canada and Taiwan in the past week.
Prof. Benjamin Bederson, professor of the Computer Science Department at the University of Maryland, visited the lab on 11th October. Prof. Bederson is a renowned researcher in the area of human computer interaction and digital education. He shared with the members of the lab his recent research projects on collaborative learning and crowd-sourcing.
Prof. Jane Hsu, professor and department chairman of Computer Science and Information Engineering at National Taiwan University, visited the lab on 15th October. Prof. Hsu is an expert in artificial intelligence, agent technologies, human computation and crowd-sourcing. She introduced her work at the Intel-NTU Connected Context Computing Centre during her visit.
Prof. Oren Etzioni, director of the Allen Institute for AI, and Prof. Martin Ester, professor and direction of the School of Computing Science at Simon Fraser University, visited Noah’s Ark Lab on 17th October. Prof. Etzioni is specialized in information extraction, and shared with the lab his latest research in online review mining. Prof. Ester’s research focuses on data mining in social networks and social media, as well as recommender systems. He presented a few research projects conducted by his team at SFU on utilizing social ties in a network to improve recommender systems.
Prof. Jane Hsu of National Taiwan University
Prof. Martin Ester of Simon Fraser University
We are pleased to announce that Huawei Noah’s Ark Lab is the gold sponsor of the upcoming ACM International Conference on Recommender Systems (ACM RecSys) 2013, to be held in Hong Kong from 12-16th October, 2013.
The ACM RecSys conference series is the premier international conference in which researchers and industrial engineers come together to present and share new research results, systems and techniques in the area of recommender systems. The conference has become in recent years one of the most important annual conference for the presentation and discussion of recommender system research.
Baofeng Zhang, the deputy head of Noah’s Ark Lab, has published an article titled “How will Big Data Disrupt?” in the WinWin magazine. The full article can be found at the following link: http://www.huawei.com/en/about-huawei/publications/winwin-magazine/hw-277368.htm
Prof. Qiang Yang, our lab’s director, was interviewed by the Hong Kong newspaper Takungpao, in which he commented on the research and development in information technology in Hong Kong. The article published on 15th August, 2013 can be found below.
Prof. Vincent Wade and Prof. Qun Liu at CNGL Ireland visited Noah’s Ark Lab on April 30. CNGL is a world leading multi-institutional research centre focusing on multilingual, multi modal globalisation of digital content. Prof. Wade gave a talk entitled “CNGL’s Multilingual Personalisation Research – Empowering Global Users” and Prof. Liu gave a talk entitled ” Localisation and Language Technologies in Ireland: a Gateway into Europe”.
Our lab was pleased to welcome Professor Norman Sadeh, currently a Professor in the School of Computer Science at Carnegie Mellon University, on 24th May, 2013. Prof. Sadeh shared with us his team’s research on using machine learning and statistical techniques to analyse crowd-sourced data in the mobile and social networking context. The results can be used to inform many different decision-making processes.
Our lab continues to be a major research centre in data mining. We are pleased to announce that our lab had five accepted papers in the upcoming ACM KDD 2013 conference to be held in Chicago, USA. As usual, KDD is a very competitive forum. This year, KDD received 726 submissions and accepted 126 papers for an acceptance ratio of 17.4%. Our papers are as follows:
- Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, and Jieping Ye, “An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems”, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2013), August, 2013, Chicago, Illinois, USA.
- Shuo Xiang, Wei Fan, and Jieping Ye, “Novel Bi-level Feature Learning Approaches for Block-wise Missing Data”. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2013), August, 2013, Chicago, Illinois, USA.
- Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang. “Collaborative Boosting for Activity Classification in Microblogs.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2013), August, 2013, Chicago, Illinois, USA.
- Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang, “Modeling the Dynamics of Composite Social Networks”, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2013), August, 2013, Chicago, Illinois, USA.
- Kaixiang Mo, Erheng Zhong, Qiang Yang, “Cross-Task Crowdsourcing”, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2013), August, 2013, Chicago, Illinois, USA.
Our lab is now looking for engineers to fill immediate regular job openings in Hong Kong. We have a large number of software engineering positions. Candidates are expected to work closely with researchers, engineers and business parties. If you have a bachelor’s degree or above in computer science or related fields, and have strong capability in algorithm design, implementation and programming, we would love to hear from you. For more details, please refer to our career page: http://www.noahlab.com.hk/career/.
Prof. Janet Hsiao, assistant professor of the Department of Psychology at the University of Hong Kong, and Prof. Antoni Chan, assistant professor of the Department of Computer Science at the City University of Hong Kong, visited the Noah’s Ark Lab on 22nd April, 2013. Prof. Hsiao shared with us her research on human eye movement in face recognition, while Prof. Chan presented his research on clustering using hierarchical EM algorithm.