Big Data Institute Educational Technology Programs Hong Kong and Nation’S Transformation Big Data Research Center

Total Page:16

File Type:pdf, Size:1020Kb

Load more

©BDI Jan 2021 Big Data Institute Educational Technology Programs Hong Kong and nation’s Transformation Big Data Research Center Funding Support Industry Applications Scientific Research Talent Training Industrialize scientific Mission Recruit achievements and talents in create long-term and academia impact to the world Vision Navigate Aspire innovation research and breakthrough development Benefit the Greater Bay Area (HK / Macau / Guangdong), Greater China Region and the world 50+ faculty interdisciplinary Schools and Departments for from 120+ students 16 collaborative R&D projects and 4 joint labs Over HK$ 80 million & US$ 1 million industrial sponsorship and donation with one of the largest government-funded ITF Smart City Project BDI WeChat Overseas Joint Lab in Asia ACHIEVEMENT st 1 Line/Naver Overseas Joint Lab in the World HIGHLIGHTS Trained 400+ BDT Master Students Partnership with leading companies and more… BDI Team At present, there are more than 50 faculty members and over 120 students involved BDI’s 16 research projects from • School of Engineering • School of Science • School of Business & Management • Department of Computer Science and Engineering • Department of Industrial Engineering and Decision Analytics • Department of Electronic and Computer Engineering, • Department of Chemical and Biological Engineering • Department of Information Systems, Business Statistics and Operations Management • Department of Mathematics • Division of Life Science • Division of Social Science Prof Lei Chen Director of BDI Prof Nancy Ip Vice-President for Prof Tony F Chan Research and Former HKUST President Development Prof Tim Cheng Prof Yang Wang Dr Tieniu Tan Dean of Engineering Associate Director of BDI & Vice-President for Vice Minister of the Liaison Prof Qiang Yang Institutional Advancement Office of the Central People’s Founding Director of BDI Government in HKSAR Ke Yi 易珂 Albert Chung 鍾志成 Associate Dean of Engineering Professor, Department of (UG Studies) & Professor, Computer Science and Department of Computer Science Engineering, HKUST and Engineering, and Department Director Associate Director Founding Director of Chemical and Biological Engineering, HKUST Lei Chen 陳雷 Yang Wang 汪揚 Qiang Yang 楊強 Chair Professor, Vice-President for Chair Professor, Department of Computer Institutional Department of Computer Science and Engineering, Advancement, HKUST Science and Engineering, HKUST HKUST Shaojie Shen 沈劭劼 I-ming Hsing 邢怡銘 Associate Professor, Head & Professor of Department of Department of Chemical Electronic and Computer and Biological Engineering, HKUST Engineering, HKUST BDI Our Team Brian Mak 麥鑑榮 Daniel P. Palomar 鋒西龍 Jianfeng Cai 蔡劍鋒 Cameron Campbell 康文林 Professor, Department of Associate Professor, Bertram Shi 施毅明 Department of Computer Head & Professor, Department of Professor, Department of Professor, Division of Social Electronic and Computer Mathematics, HKUST Science, HKUST Engineering, and Department of Science and Electronic and Computer Industrial Engineering and Engineering, HKUST Engineering, HKUST Decision Analytics, HKUST Inchi Hu 胡膺期 Hong Xue 薛紅 Hai Yang 楊海 James She 許丕文 Chair Professor, Huamin Qu 屈華民 Professor, Department of Computer Adjunct Professor, Chair Professor, Adjunct Assistant Department of Information Science and Engineering, and Division of Life Science, Department of Civil and Professor, Department of Systems, Business Department of Electronic and Computer HKUST Environmental Electronic and Computer Statistics and Operations Engineering & Director, Interdisciplinary Engineering, HKUST Engineering, HKUST Management, HKUST Programs Office, HKUST 楊瓞仁 宗福季 吳德愷 Dit-Yan Yeung Fugee Tsung Chi Keung Tang 鄧智強 Dimitris Papadias 白德善 Dekai Wu Head & Chair Professor, Chair Professor, Department Professor, Department of Professor, Department of Professor, Department of Department of Computer of Industrial Engineering and Computer Science and Computer Science and Computer Science and Science and Engineering, Decision Analytics, HKUST Engineering, HKUST Engineering, HKUST Engineering, HKUST HKUST Pascale Fung 馮雁 Mingjie Zhang 張明傑 Jiguang Wang 王吉光 Qiong Luo 羅瓊 Professor, Department of Electronic Adjunct Professor, Assistant Professor, Division Associate Professor, and Computer Engineering & Division of Life Science, Department of Computer Director, Center for Artificial of Life Science, and Intelligence Research, HKUST HKUST Department of Chemical and Science and Biological Engineering, Engineering, HKUST HKUST Xiaojuan Ma 麻曉娟 Assistant Professor, Department of Computer Science and Engineering, HKUST Yangqiu Song 宋陽秋 Wei Wang 王威 Weichuan Yu 余維川 Assistant Professor, Department Assistant Professor, Department Professor, Department of of Computer Science and of Computer Science and Electronic and Computer Engineering, and Department of Engineering, HKUST Engineering, HKUST Mathematics, HKUST James Kwok 郭天佑 Professor, Department of Computer Science and Engineering, HKUST Kai Chen 陳凱 Matthew McKay Richard So 蘇孝宇 Associate Professor, Professor, Department of Electronic Nevin Zhang 張連文 Associate Dean of Engineering (Research & and Computer Engineering and, Professor, Department of Graduate Studies) & Professor, Department Department of Computer of Industrial Engineering and Decision Science and Department of Chemical and Computer Science and Analytics, and Department of Chemical and Engineering, HKUST Biological Engineering, HKUST Engineering, HKUST Biological Engineering, HKUST Jiheng Zhang 張季恆 Raymond Wong 黃智榮 Xiaoping Wang 王筱平 Professor, Department of Professor, Department of Head & Chair Professor, Industrial Engineering and Computer Science and Department of Decision Analytics, and Engineering, HKUST Mathematics, HKUST Department of Mathematics, HKUST Xuhui Huang 黃旭輝 Kohei Kawaguchi 川口康平 Professor, Department of Assistant Professor, Chemical and Biological Department of Economics, Engineering and Department of HKUST Chemistry, HKUST Jishan Hu 胡繼善 Can Yang 楊燦 Kani Chen 陳卡你 Professor, Department of Professor, Department of Associate Professor, Mathematics, HKUST Department of Mathematics, HKUST Mathematics, HKUST Angela Wu 吳若昊 Yu Hu 胡禹 Assistant Professor, Department Assistant Professor, Department of Chemical and Biological of Mathematics, and Division Engineering, and Division of of Life Science, HKUST Yuan Yao 姚遠 Life Science, HKUST Haibin Su 蘇海斌 Associate Professor, Department of Bing-yi Jing 荊炳義 Associate Professor, Mathematics, and Department of Professor, Department of Department of Chemistry, Chemical and Biological Mathematics, HKUST HKUST Engineering, HKUST BDI Industrial Partners 2015 RMB¥10 million Tencent and Donation 2016 US$ 1 million Mr. Raymond Chu 2015 HK$ 10 million ITF (Innovation and 2018 Technology Fund) Smart Transportation HK$ 2.46 million project partnered with 2020 RGC-RIF Project 2016 HK$ 20 million ITF (Innovation and HK$ 5.6 million Technology Fund) Smart City project partnered with 2018 HK$ 1 million and more… 2018 HK$ 5 million Space Tactics Asset Ying Ding Education Management 2019 2018 HK$ 2 million Technology Co., Ltd Donation OUR LABS WHAT Lab BDBI-Machine Learning Lab HKUST-Ying Ding Education AI Lab Smart City Lab HKUST- NAVER/LINE AI Lab BIG DATA INSTITUTE WeChat-HKUST Joint Lab on Artificial Intelligence WHAT Lab WeChat and HKUST will jointly conduct Artificial Intelligence (AI) Technology related research and explore the far-reaching frontiers of AI. This collaboration on AI research is expected to be long-term and world-leading. Research areas of WHAT LAB include intelligent robotic systems, natural language 2015-11-26 WHAT Lab was established in HKUST processing, data mining, speech recognition and Tencent entered into a 5-year research understanding. partnership with BDI since late 2015, amounts to RMB10 million in total. Aims at social networking big data mining and machine learning, natural language processing and robotics research. Natural language processing Data Mining & Visualization Video Analysis Large –Scale Machine Learning Machine Reading aims to develop Machine Learning algorithms that could read and comprehend natural language documents as humans do. Robotic Application With Machine Reading, natural language information is converted to the form that could be processed by computers, and could be further utilized in applications such as summarization, question answering and dialogue system. 据印度报业托拉斯报导,当地时间 WHAT Lab 2日,在巴基斯坦接壤印度的巴方 边境口岸瓦格赫发生了一起自杀式 Machine Reading: Breakthrough 炸弹袭击。根据最新消息,这起袭 击事件造成了至少55人死亡,其中 in Natural Chinese Processing 包括了孩子和安全人员,另有近 It aims to develop Machine Learning 200人受伤。巴基斯坦官员表示, algorithms that could read and 此次的事件是一起自杀式袭击。 comprehend natural language documents as humans do, the technique NEWS can be further utilized in applications such as summarization, question answering and dialogue system. Human Natural language processing 印巴边境发生自杀式袭击致55 Data Mining & Visualization 人死亡 Video Analysis Large –Scale Machine Learning Machine Robotic Application 巴基斯坦发生自杀式炸弹袭击 事件造成至少55人死亡 Dialog Robot Through the dialogue system, computer information can be translated into natural language description, and human language can also be translated into computer information, so as to achieve human-computer interaction. Reinforcement and transfer learning, can be used to solve the problem of dialogue system. Reinforcement learning can solve the problem of delayed feedback in multiple rounds of dialogue, while transfer learning can help target areas by using data from similar fields, which can solve the problems of traditional intensive learning data.
Recommended publications
  • Ai Governance in 2019 a Year in Review

    Ai Governance in 2019 a Year in Review

    The report editor can be reached at [email protected] We welcome any comments on this report and any communication related to AI AI GOVERNANCE IN 2019 governance. A YEAR IN REVIEW OBSERVATIONS OF 50 GLOBAL EXPERTS SHANGHAI INSTITUTE FOR SCIENCE OF SCIENCE April, 2020 Shanghai Institute for Science of Science ALL LIVING THINGS ARE NOURISHED WITHOUT INJURING ONE ANOTHER, AND ALL ROADS RUN PARALLEL WITHOUT INTERFERING WITH ONE ANOTHER. CHUNG YUNG, SECTION OF THE LI CHI TABLE OF CONTENTS FOREWORD China Initiative: Applying Long-Cycle, Multi-Disciplinary Social Experimental on Exploring 21 the Social Impact of Artificial Intelligence By SHI Qian By SU Jun Going Beyond AI Ethics Guidelines 23 INTRODUCTION 01 By Thilo Hagendorff By LI Hui and Brian Tse 25 PART 1 TECHNICAL PERSPECTIVES FROM WORLD-CLASS SCIENTISTS 07 By Petra Ahrweiler 27 The Importance of Talent in the Information Age 07 By John Hopcroft The Impact of Journalism 29 From the Standard Model of AI to Provably Beneficial Systems 09 By Colin Allen By Stuart Russell and Caroline Jeanmaire Future of Work in Singapore: Staying on Task 31 The Importance of Federated Learning 11 By Poon King Wang By YANG Qiang Developing AI at the Service of Humanity 33 Towards A Formal Process of Ethical AI 13 By Ferran Jarabo Carbonell By Pascale Fung Enhance Global Cooperation in AI Governance on the Basis of Further Cultural Consensus 35 From AI Governance to AI Safety 15 By WANG Xiaohong By Roman Yampolskiy Three Modes of AI Governance 37 By YANG Qingfeng PART 2 INTERDISCIPLINARY ANALYSES FROM PROFESSIONAL RESEARCHERS 17 PART 3 RESPONSIBLE LEADERSHIP FROM THE INDUSTRY 39 The Rapid Growth in the Field of AI Governance 17 By Allan Dafoe & Markus Anderljung Companies Need to Take More Responsibilities in Advancing AI Governance 39 Towards Effective Value Alignment in AI: From "Should" to "How" 19 By YIN Qi By Gillian K.
  • Our Digital Future in a Divided World 22Nd APRU ANNUAL JUNE 24-26, 2018 PRESIDENTS’ MEETING National TAIWAN UNIVERSIT Y

    Our Digital Future in a Divided World 22Nd APRU ANNUAL JUNE 24-26, 2018 PRESIDENTS’ MEETING National TAIWAN UNIVERSIT Y

    Our Digital Future in a Divided World 22nd APRU ANNUAL JUNE 24-26, 2018 PRESIDENTS’ MEETING NATIONAL TAIWAN UNIVERSIT Y MEETING REPORT APRU Members Australia Korea Australian National University KAIST The University of Melbourne Korea University The University of Sydney POSTECH UNSW Sydney Seoul National University Yonsei University Canada The University of British Columbia Malaysia University of Malaya Chile University of Chile Mexico Tecnológico de Monterrey China and Hong Kong SAR Fudan University New Zealand Nanjing University The University of Auckland Peking University The Chinese University of Hong Kong Philippines The Hong Kong University of Science and Technology University of the Philippines The University of Hong Kong Tsinghua University Russia University of Chinese Academy of Sciences Far Eastern Federal University University of Science and Technology of China Zhejiang University Singapore Nanyang Technological University Taiwan National University of Singapore National Taiwan University National Tsing Hua University Thailand Chulalongkorn University Indonesia University of Indonesia United States of America California Institute of Technology Japan Stanford University Keio University University of California, Berkeley Nagoya University University of California, Davis Osaka University University of California, Irvine Tohoku University University of California, Los Angeles The University of Tokyo University of California, San Diego Waseda University University of California, Santa Barbara University of Hawaiʻi at Mãnoa University
  • The Black Box, Unlocked PREDICTABILITY and UNDERSTANDABILITY in MILITARY AI

    The Black Box, Unlocked PREDICTABILITY and UNDERSTANDABILITY in MILITARY AI

    The Black Box, Unlocked PREDICTABILITY AND UNDERSTANDABILITY IN MILITARY AI Arthur Holland Michel UNIDIR Acknowledgements Support from UNIDIR’s core funders provides the foundation for all the Institute’s activities. This study was produced by the Security and Technology Programme, which is funded by the Governments of Germany, the Netherlands, Norway and Switzerland, and by Microsoft. The author wishes to thank the study’s external reviewers, Dr. Pascale Fung, Lindsey R. Sheppard, Dr. Martin Hagström, and Maaike Verbruggen, as well as the numerous subject matter experts who provided valuable input over the course of the research process. Design and layout by Eric M. Schulz. Note The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The views expressed in the publication are the sole responsibility of the individual authors. They do not necessary reflect the views or opinions of the United Nations, UNIDIR, its staff members or sponsors. Citation Holland Michel, Arthur. 2020. ‘The Black Box, Unlocked: Predictability and Understand- ability in Military AI.’ Geneva, Switzerland: United Nations Institute for Disarmament Research. doi: 10.37559/SecTec/20/AI1 About UNIDIR The United Nations Institute for Disarmament Research (UNIDIR) is a voluntarily fund- ed, autonomous institute within the United Nations. One of the few policy institutes worldwide focusing on disarmament, UNIDIR generates knowledge and promotes dialogue and action on disarmament and security.
  • 1 Mona T. Diab

    1 Mona T. Diab

    Mona T. Diab, PhD Associate Professor Department of Computer Science School of Engineering and Applied Science George Washington University [email protected] http://www.seas.gwu.edu/~mtdiab Office: +1(202) 994.8109 RESEARCH FOCUS & INTERESTS Computational lexical semantics, multilingual processing, computational sociolinguistics, computational pragmatics, social media analytics, health analytics, low resource language processing, resource building, applied machine learning techniques, text analytics, information extraction, sentiment and emotion analysis, Arabic computational linguistics. PROFESSIONAL EXPERIENCE 01.2013-present Associate Professor, Department of Computer Science, The George Washington University, Washington DC, USA 01.2013-present Director, GW NLP Lab (CARE4Lang), The George Washington University, Washington DC, USA (~20 active members) 06.2005-present Co-Director, Computational Approaches for Arabic Dialect Modeling (CADIM) Group, Columbia University, The George Washington University, NYU-Abu Dhabi (~10 active members) 09.2009-12.2012 Research Scientist (Principal Investigator), Center for Computational Learning Systems (CCLS), Columbia University, New York NY, USA 09.2009-12.2012 Adjunct Associate Professor, Department of Computer Science, Columbia University, New York NY, USA 09.2007-08.2009 Adjunct Assistant Professor, Department of Computer Science, Columbia University, New York NY, USA 02.2005-08.2009 Associate Research Scientist (Principal Investigator), Center for Computational Learning Systems (CCLS), Columbia University,
  • The Miracle Continues School of Engineering Celebrates HKUST’S Th Anniversary

    The Miracle Continues School of Engineering Celebrates HKUST’S Th Anniversary

    Snapshot Engineering Newsletter No.20 Summer 2011 The Miracle Continues School of Engineering Celebrates HKUST’s th Anniversary Calendar of Events September 24-25, 2011 December 2011 HKUST Information Day HKUST Engineering Day HKUST Campus HKUST Campus October 14-23, 2011 December 8-11, 2011 HKUST “Bring Technology to Community” Exhibition The 3rd International Symposium on Plasticity and Impact Hong Kong Science Museum HKUST Clear Water Bay Campus (Dec 8-10) and HKUST Fok Ying Tung Graduate School, Nansha Campus (Dec 10-11) The above events are subject to change without prior notice. Don't be the Missing Link ... Editors: Diana Liu, Dorothy Yip Alumni relationships are invaluable assets to the School and Contributing Editor: Sally Course alumni. To foster the growth of our alumni network, please Address: School of Engineering keep us informed of your recent news and send us your The Hong Kong University of Science and Technology updated contact information via email to [email protected]. Clear Water Bay, Kowloon, Hong Kong Stay connected and keep in touch! Phone: (852) 2358-5917 Fax: (852) 2358-1458 Email: [email protected] Website: www.seng.ust.hk Facebook: www.facebook.com/SENG.HKUST PTC-G14143 24 Dean's Message New Appointments Research 2011 marks another milestone in the history of HKUST as the technology play in making the world a better place, from Concurrent Prof Ben Letaief Honored as University reaches its 20th year, and the School of Engineering improved healthcare to more efficient buildings and bridges to ■ Prof Mordecai Golin (SENG) is fully playing its part in commemorating the new consumer electronic breakthroughs.
  • Kathleen Mckeown

    Kathleen Mckeown

    Kathleen McKeown Department of Computer Science Columbia University New York, NY. 10027 U.S.A. Phone: 212-939-7118 Fax: 212-666-0140 email: [email protected] website: http://www.cs.columbia.edu/ kathy Current position Henry and Gertrude Rothschild Professor of Computer Science, Columbia University, New York Research Interests Computational Linguistics/Natural-Language Processing: Text Summarization; Language Genera- tion; Social Media Analysis; Open-ended question answering; Sentiment Analysis Education 1982 Ph.D., Computer and Information Science, University of Pennsylvania 1979 M.S., Computer and Information Science, University of Pennsylvania 1976 A.B., Comparative Literature, Brown University Appointments held 2012-2018 Founding Director, Columbia Data Science Institute 2011-2012 Vice Dean for Research, School of Engineering and Applied Science 2005-present Henry and Gertrude Rothschild Professor of Computer Science, Columbia University 1997-present Professor, Columbia University 7/2003-12/2003 Acting Chair, Department of Computer Science, Columbia University 1997-2002 Chair, Department of Computer Science, Columbia University 1987-1997 Associate Professor, Columbia University 1982-1987 Assistant Professor, Columbia University Honors & awards 2016 Keynote Speaker, International Semantic Web Conference, Kobe, Japan 20162014 Grace Hopper Distinguished Lecture, University of Pennsylvania Philadelphia, Pa., Nov. 2016. Distin- guished Lecturer, University of Edinburgh, Launch of the Centre for Doctoral Training in Data Science, Edinburgh,
  • Arxiv:2106.11410V2 [Cs.CL] 15 Jul 2021 Inferiority of Racialized People’S Language Practices Underrepresented in STEM and Academia

    Arxiv:2106.11410V2 [Cs.CL] 15 Jul 2021 Inferiority of Racialized People’S Language Practices Underrepresented in STEM and Academia

    A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Carnegie Mellon University Microsoft Research [email protected] [email protected] Zeerak Waseem Yulia Tsvetkov University of Sheffield University of Washington [email protected] [email protected] Abstract While researchers and activists have increasingly Despite inextricable ties between race and lan- drawn attention to racism in computer science and guage, little work has considered race in NLP academia, frequently-cited examples of racial bias research and development. In this work, we in AI are often drawn from disciplines other than survey 79 papers from the ACL anthology that NLP, such as computer vision (facial recognition) mention race. These papers reveal various (Buolamwini and Gebru, 2018) or machine learn- types of race-related bias in all stages of NLP ing (recidivism risk prediction) (Angwin et al., model development, highlighting the need for 2016). Even the presence of racial biases in search proactive consideration of how NLP systems engines like Google (Sweeney, 2013; Noble, 2018) can uphold racial hierarchies. However, per- sistent gaps in research on race and NLP re- has prompted little investigation in the ACL com- main: race has been siloed as a niche topic munity. Work on NLP and race remains sparse, and remains ignored in many NLP tasks; most particularly in contrast to concerns about gender work operationalizes race as a fixed single- bias, which have led to surveys, workshops, and dimensional variable with a ground-truth label, shared tasks (Sun et al., 2019; Webster et al., 2019).