祝賀楊強教授獲得2017年SIGKDD傑出服務獎

2017 SIGKDD SERVICE AWARD AWARD WINNER

楊強教授

2017年SIGKDD傑出服務獎得主

中國人工智慧學會副理事長、AAAI Fellow、香港科技大學電腦科學與工程學系主任

楊強博士長期服務于促進資料採擷和人工智慧領域的發展，

並為此作出了傑出的貢獻。 他曾擔任ACM KDD 2010 會議的程式委員會聯合主席， 並于2012年在北京舉辦的ACM KDD 擔任會議主席的職位。 他還在2015年由阿根廷舉辦的2015 IJCAI中擔任程式委員會主席職務。 同時他還擔任過多個會議的主席或聯合主席， 比如：ACM IUI 2009、ACM RecSys 2013和 IEEE Big Data 2013等。 同時， 他還主持了多個資料採擷和人工智慧方面的評獎委員會主席， 包括2017年的ACM SIGKDD長期貢獻獎、2017年的IJCAI人工智慧獎， 以及2017年的IEEE AI ten-to-watch獎。 他是ACM智慧系統和技術期刊的創刊主編， 該本期刊已經成為ACM最近歷史上被引用最多的期刊之一。 他還在IEEE 創建了大資料期刊， 並擔任該期刊的主編。 與此同時， 他還在AAAI的執行委員會任職， 也是IJCAI董事會的成員。

楊強博士是中國資料採擷、機器學習和SIGKDD事業的支持者和組織者。

在他的領導下， SIGKDD在2016年初開啟了中國的分會。 僅在2016年， 中國KDD就已經組織了十項活動， 大力促進了SIGKDD在中國的發展， 為中國工業和學術界之間的架起了橋樑。 這些活動吸引了500多名國內會員， 其中包括大批的學生和工業研究人員。 多年來， 楊強博士也在中國國內舉辦了多次講座， 被邀請參加遷移學習、機器學習和推薦系統相關的演講和教程。

多年來， 楊強博士花費大量的精力來教育學生“如何做研究” 。 他參與合著的“學術研究：你的成功之道”一書， 是Morgan Claypool出版社網站上下載量最多的書之一， 這本書的中文版(清華大學出版社)在中國也非常受讀者歡迎。

除了投身於SIGKDD的社會服務外， 楊強博士還因其對資料採擷和機器學習的技術貢獻而聞名，

特別是在研究遷移學習方面。 他所帶領的研究團隊贏得了2004年和2005年ACM KDDCUP杯的比賽。 同時楊強博士還是多個團體的Fellow， 包括IEEE， AAAI， AAAS和IAPR。

與此同時， 楊強博士還活躍于資料採擷和機器學習的工業應用領域。 2012年他與其他同事創立了華為的“諾亞方舟實驗室”， 旨在解決大資料、資料採擷和機器學習等重大問題。 該實驗室在電信行業的資料採擷研究和應用方面做了多項創新。

楊強博士于1982年獲得北京大學的天體物理學學士學位， 1985年獲得美國馬里蘭大學的天體物理學碩士學位。 1989年， 他獲得了馬里蘭大學 College Park分校的電腦博士學位。 後來， 他成為滑鐵盧大學的助理教授， 並在加拿大西蒙弗雷澤大學擔任副教授/全職教授。

他現在是香港科技大學的新明工程學講座教授， 同時也是電腦科學與工程學系的主任， 香港科技大學“大資料研究所”的創始主任。

以往獲得往屆SIGKDD服務獎的15位元得主分別是:Gregory Piatetsky-Shapiro、Sunita Sarawagi、Sunita Sarawagi、Won Kim、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Ramasamy Uthurusamy、Xindong Wu、Ramasamy Uthurusamy、Wei Wang。

該獎項將於2017年8月13日在加拿大哈利克斯舉行的第22屆ACM SIGKDD國際會議(kdd-2017)會議開幕式上進行頒獎， 獎項內容包含獎牌以及2500美元的獎金。

原文連結：http://www.kdd.org/awards/view/2017-sigkdd-service-award-dr.-qiang-yang?from=timeline&isappinstalled=0

原文內容：

Dr. Qiang Yang has a outstanding history of serving and promoting the fields of data mining and the artificial intelligence. He has served as the PC Co-chair for ACM KDD 2010, General Chair for ACM KDD 2012 in Beijing and PC Chair for IJCAI 2015. He was the General Co-Chair for conferences such as ACM IUI 2009, ACM RecSys 2013, and IEEE Big Data 2013. He has chaired many committees in data mining and AI, including the 2017 ACM SIGKDD Test-of-Time Paper Award Committee, 2017 IJCAI Award Committee, and 2017 IEEE AI Ten-to-Watch Committee. He is the founding editor in chief of ACM Transactions on Intelligent Systems and Technology (ACM TIST), which has become one of the most cited journals under ACM in recent history. He has also founded the journal IEEE Transactions on Big Data, for which he is the Editor in Chief. He serves on the AAAI Executive Council and is a member of the Board of Trustees for IJCAI.

Dr. Yang is a strong proponent for data mining, machine learning and SIGKDD in China. Under his leadership, SIGKDD opened a new chapter in China in early 2016. In 2016 alone, KDD China has organized 10 events under the SIGKDD China Chapter, significantly promoting SIGKDD in China and bridging the gap between industries and academia in China. It has attracted more than 500 members including large numbers of students and industrial researchers. Over the years, Dr. Yang has given many tutorials and lectures in KDD on China. Many of the invited talks and tutorials are related to transfer machine learning and recommendation systems.

Over the years, Dr. Yang spent a great effort in educating students and young researchers on the topic of “research methodology.” His co-authored book "Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering" is among the the most downloaded books on Morgan & Claypool Publishers' website. A companion Chinese book is also very popular in China.

Besides his service for SIGKDD, Dr. Yang is also well known for his technical contributions to data mining and machine learning, particularly in the research area of transfer learning. He is a world leading researcher in both the theoretical formalization and practical applications of transfer learning. His team won the 2004 and 2005 ACM KDDCUP competitions. Dr. yang is an IEEE Fellow, AAAI Fellow, AAAS Fellow and IAPR Fellow.

Dr. Yang is also active in industrial applications of data mining and machine learning. Under his leadership, a new research lab named the Noah’s Ark Lab was set up to tackle important problems in big data, data mining and machine learning. The lab took many new initiatives in research and applications of data mining in the telecommunications industry.

Dr. Qiang Yang received a B.S degree from Peking University in China and a M.S. degree from the University of Maryland, both in Astrophysics. He obtained his Ph.D. degree from the University of Maryland, College Park in 1989. Subsequently, he became an assistant/associate professor at the University of Waterloo and Associate/Full Professor at the Simon Fraser University in Canada. He is now the New Bright Professor of Engineering at Hong Kong University of Science and Technology (HKUST). He is also a Chair Professor and head of Department of Computer Science and Engineering at HKUST. He is also the founding director of the Big Data Institute at HKUST.

The fifteen previous SIGKDD Service Award winners have been: Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama Fayyad, Xindong Wu, The Weka team, Won Kim, Robert Grossman, Sunita Sarawagi, Osmar R. Zaïane, Bharat Rao, Ying Li, Gabor Melli, Ted Senator, Jian Pei, and Wei Wang.

The award includes a plaque and a check for $2,500 and will be presented during the Opening Plenary Session of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), on Sunday August 13 in Halifax, Canada.