Management Team

Qiang Yang
Prof. Qiang Yang is the head of Huawei Noah’s Ark Lab in Hong Kong. He has been a professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) since 2007. Prior to joining HKUST, he had been a faculty member at the University of Waterloo and Simon Fraser University in Canada. He is an IEEE Fellow, IAPR Fellow and ACM Distinguished Scientist. His research interests are data mining and artificial intelligence. Qiang received his PhD from the University of Maryland, College Park in 1989. His research teams won the 2004 and 2005 ACM KDDCUP competitions on data mining. He is the vice chair of ACM SIGART, the founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST), and organizer for many international conferences and workshops, including the PC Co-chair for ACM KDD 2010, the General Chair for ACM KDD 2012 in Beijing and PC Chair for IJCAI 2015 Conference in Argentina.  
Felix Baofeng Zhang
Baofeng Zhang leads the IT(Information Technologies) lab in Huawei central research institute since 2009, and is currently the deputy head of Noah's Ark Lab in Hong Kong. He has over 14-year experience in telecom industry, specifically in software design/development, requirement analysis, software/system architecture design and engineering to management within Huawei. Baofeng also has nearly 5-year experience in national/international standards bodies, and has been the head of development teams to numerous of products widely covering the circuit-based switch and IP-based product, the head of delegations to numerous national standard development events, and an active participant of numerous of international standard development.
Hang Li
Hang Li is the chief scientist of Huawei Noah’s Ark Lab. He also serves as adjunct professor at Peking University and Nanjing University. Prior to joining Huawei, he worked at the Research Laboratories of NEC Corporation and Microsoft Research Asia. He obtained a B.S. in Electrical Engineering from Kyoto University in 1988 and a M.S. in Computer Science from Kyoto University in 1990. He earned his Ph.D. in Computer Science from the University of Tokyo in 1998. His research areas include statistical machine learning, information retrieval, data mining, and natural language processing.
Wei Fan
Dr. Wei Fan is the associate director of Huawei Noah's Ark Lab. Prior to joining Huawei, he received his PhD in Computer Science from Columbia University in 2001 and had been working in IBM T.J. Watson Research since 2000. His main research interests and experiences are in various areas of data mining and database systems, such as, stream computing, high performance computing, extremely skewed distribution, cost-sensitive learning, risk analysis, ensemble methods, easy-to-use nonparametric methods, graph mining, predictive feature discovery, feature selection, sample selection bias, transfer learning, time series analysis, bioinformatics,social network analysis,  novel applications and commercial data mining systems. His co-authored paper received ICDM'2006 Best Application Paper Award, he lead the team that used Random Decision Tree to win 2008 ICDM Data Mining Cup Championship. He received 2010 IBM Outstanding Technical Achievement Award for his contribution to IBM Infosphere Streams. He is the associate editor of ACM Transaction on Knowledge Discovery and Data Mining (TKDD).
Nicholas Gong Zhang

Nicholas Zhang has over 14 years research and system development experience in network, distributed system and communication system architectures. He has contributed to more than 90 patents. He had been a product development team leader of smart devices in 2002 to pioneer new consumer business for Huawei. He then started to lead the research on future Internet and cooperative communication in 2005. In 2009, he became in charge of the advance network technology research department, leading research on future network, distributed computing, database system, and data analysis. His recent research focuses on Human Machine Interaction and Systems.
Dai Wenyuan
Wenyuan Dai is a principle researcher of Huawei’s Noah Ark Lab. Before joining Huawei, he was a principle architect and senior research scientist in Baidu. His team built the largest machine learning system in China, which is able to handle hundreds of billions of examples and features. His team has boosted the click-through rate of Baidu’s search ads over 3 times and doubled the revenue. He received the Best Student Paper Award in PKDD 2007, and was the leader of the World Champion team in the 2005 ACM International Collegiate Programming Contest (ACM-ICPC). Wenyuan received his master degree from Shanghai Jiao Tong University in 2009. His research interests are mainly in artificial intelligence, including transfer learning, big data, deep learning and their applications in information retrieval, computational advertising, recommendation, computer vision, etc. Recent publications:  
  1. Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, and Yong Yu. EigenTransfer: a Unified Framework for Transfer Learning. Proceedings of the 26th International Conference on Machine Learning (ICML 2009), 193-200, 2009.
  2. Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, and Yong Yu. Heterogeneous Transfer Learning for Image Clustering via the Social Web. Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-IJCNLP 2009), 1-9, 2009.
  3. Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated Learning: Transfer Learning across Different Feature Spaces. Advances in Neural Information Processing Systems 21 (NIPS 2008), 353-360, 2008.
  4. Wenyuan Dai, Qiang Yang, Gui-Rong Xue, and Yong Yu. Self-Taught Clustering. Proceedings of the 25th International Conference on Machine Learning (ICML 2008), 200-207, 2008.
  5. Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, and Yong Yu. Spectral Domain-Transfer Learning.  Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), 488-496, 2008.
  6. Gui-Rong Xue, Wenyuan Dai, Qiang Yang, and Yong Yu. Topic-Bridged PLSA for Cross-Domain Text Classification. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), 627-634, 2008.