Gabriel Fung Ph.D.
The Chinese University of Hong Kong
About Me
I received a Ph.D. in Systems Engineering and Engineering Management from The Chinese University of Hong Kong (CUHK). Before I returned to Hong Kong, I worked at The University of Queensland in Australia and Arizona State University in USA. I founded my startup Lab Viso Limited in 2005, which mainly focuses on applying my research outcomes to solve real-life problems.
My research interest is Artificial Intelligence (AI) and Machine Learning, in the domain of Natural Language Processing (NLP). My NLP research focuses on natural language understanding (e.g., name disambiguation, word segmentation), dialogue response generation (e.g., dialogue state tracking, knowledge tracing), learning efficiency (e.g., few-shot learning) and user-interface design for Human-Computer-Interaction (HCI). One of the major applications of my research outcome is chatbot.
I served the research lab "MOE Key Laboratory of High Confidence Software Technologies" from 2016 to 2021 and attracted government funds of over HK$6 million. I have showcased the research outputs in several international and local expo, including International ICT Expo (2019, 2021), International Exhibition of Geneva (2019, 2021), and InnoCarnival (2018, 2021).
In 2019, I was invited to a "Dinner in Honour" hosted by my University's Vice-Chancellor Professor Rocky Tuan to honour my achievements in research and academia. My achievements and awards include, but not limited to: "Silver Medal" in "The 48th International Exhibition of Geneva", "2017 Science and Technology Progress Award" from the "Ministry of Education Higher Education Outstanding Scientific Research Output Award" by the Ministry of Education, People Republic of China", and "First Prize of Innovation" in "The 3rd Chinese Youth Congress on Artificial Intelligence".
I have co-authored over 60 publications, including books, book chapters, refereed journal papers and refereed conference papers, in the areas of NLP, AI, machine learning and data mining. Most of his publications have been published in top-tier journals and conferences. I got the best paper award in APWeb08' and PAKDD04'.
My start up Lab Viso Limited has been admitted to the Cyberport Incubation Programme (wholly owned by the Hong Kong Government). I own one trademark, won the "Bronze Prize" of "Smart Ageing Award" in the "Golden Age Expo & Summit 2021" (note: the "Gold Prize" was given to a former Fortune 500 listed company and the "Silver Prize" was given to a university), awarded the "Gold Medal" in "The 47th International Exhibition of Geneva" in 2019, and won the "Championship" of "BOC(HK) Hackathon" in 2018.
Education
Thesis: Parameter Free Document Stream Classification
The Chinese University of Hong Kong, HK
Thesis: Stock Market Forecasting by Integrating Time-Series and Textual Information
The Chinese University of Hong Kong, HK
Major: Systems Engineering and Engineering Management
Minor: Psychology
Academic and Professional Experiences
Publications
Edited Books
- Gabriel Pui Cheong Fung (Ed.) A Practical Guide to Bioinformatics Analysis. iConcept Press Ltd., 2010
- Jia Zhu and Gabriel Pui Cheong Fung (Ed.) Forecasting Model: Methods and Applications. iConcept Press Ltd., 2010
Book Chapters
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam. Automatic Stock Trend Prediction by Re-al Time News. In Advances in Data Mining and Modeling. 48–59, World Scientific Publishing Co. Pte. Ltd. 2002.
- Gabriel Pui Cheong Fung and Jeffrey Xu Yu. Mining Multiple Information: Stock Trend Pre-diction. In Forecasting Model: Methods and Applications. iConcept Press Ltd. 2010.
Referred Journals
- Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Pui Cheong Fung, Qintai Hu: A novel approach for entity resolution in scientific documents using context graphs. Inf. Sci. 432: 431-441 (2018)
- Jia Zhu, Xingcheng Wu, Xueqin Lin, Changqin Huang, Gabriel Pui Cheong Fung, Yong Tang: A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering. Scientometrics 114(3): 781-794 (2018)
- Chuanhua Xu, Jia Zhu, Jin Huang, Zhixu Li, Gabriel Pui Cheong Fung: A health management tool based smart phone. Multimedia Tools Appl. 76(16): 17541-17558 (2017)
- Jia Zhu, Chuanhua Xu, Zhixu Li, Gabriel Pui Cheong Fung, Xueqin Lin, Jin Huang, Changqin Huang: An examination of on-line machine learning approaches for pseudo-random generated data. Cluster Computing 19(3): 1309-1321 (2016)
- Jia Zhu, Gabriel Fung, Wai Hung Wong, Zhixu Li, Chuanhua Xu: Evaluating the pros and cons of different peer review policies via simulation. Sci Eng Ethics (2015).
- Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Pui Cheong Fung, Huan Liu: Maximizing benefits from crowdsourced data. Computational & Mathematical Organization Theory 18(3): 257-279 (2012)
- Ke Deng, Shazia Wasim Sadiq, Xiaofang Zhou, Hu Xu, Gabriel Pui Cheong Fung, Yansheng Lu: On Group Nearest Group Query Processing. IEEE Trans. Knowl. Data Eng. 24(2): 295-308 (2012)
- Kai Zheng, Xiaofang Zhou, Gabriel Pui Cheong Fung and Kexin Xie: Spatial query pro-cessing for fuzzy objects. VLDB J. 21(5): 729 – 751, 2012
- Jing Yang, Gabriel Pui Cheong Fung, Wei Lu, Xiaofang Zhou, Hong Chen and Xiaoyong Du. Finding superior skyline points for multidimensional recommendation applications. World Wide Web (WWW) 15 (1): 33-60, 2012
- Wei Lu, Gabriel Pui Cheong Fung, Xiaoyong Du, Xiaofang Zhou, Lijiang Chen, Ke Deng: Approximate entity extraction in temporal databases. World Wide Web 14(2): 157-186 (2011)
- Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Qi Pan: Stock prediction: an event-driven approach based on bursty keywords. Frontiers of Computer Science in China 3(2): 145-157, 2009
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu and Philip S. Yu. Text Classification without Negative Examples Revisit. IEEE Transaction of Knowledge and Data Engineering (TKDE), 18(1): 6–20, 2006.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Hongjun Lu. The Predicting Power of Textual Information on Financial Markets. IEEE Intelligent Informatics Bulletin (IIB), 5 (1): 1–10, 2005.
- Gabriel Pui Cheong Fung. Ensemble Text Classifier Re-Visit. Submitted to Knowledge and In-formation Systems.
- Gabriel Pui Cheong Fung. Theoretical Foundation of Peer Review System. Submitted to Man-agement Science.
Referred Conference Papers
- Gabriel Pui Cheong Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong: NLPTEA 2017 Shared Task - Chinese Spelling Check. NLP-TEA@IJCNLP 2017: 29-34
- Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang: A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. CSCWD 2017: 239-244
- Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong: ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197
- Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong, Binyang Li, Zhixu Li, Haoye Dong: The Role of Physical Location in Our Online Social Networks. WAIM 2015: 498-501
- Gabriel Pui Cheong Fung, Fred Morstatter, Huan Liu: Feature Selection Strategy in Text Classification. PAKDD (1) 2011: 26-37
- Jia Zhu, Gabriel Pui Cheong Fung, Liwei Wang: Efficient Name Disambiguation in Digital Libraries. WAIM 2011: 430-441
- Wei Lu, Chuitian Rong, Jinchuan Chen, Xiaoyong Du, Gabriel Pui Cheong Fung, Xiaofang Zhou: Efficient Common Items Extraction from Multiple Sorted Lists. APWeb 2010: 219-225
- Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou. K-Nearest Neighbor Search for Fuzzy Object. In ACM SIGMOD International Conference on Management of Data (SIGMOD), 2010.
- Jia Zhu, Gabriel Pui Cheong Fung, and Xiaofang Zhou. Efficient Web Pages Identification for Entity Resolution. In 19th International World Wide Web Conference (WWW), 2010.
- Gabriel Pui Cheong Fung, Wei Lu, Jing Yang, Xiaoyong Du, Xiaofang Zhou. Extract Interest-ing Skyline Points in High Dimension. In Proceedings of the 15th International Conference on Da-tabase Systems for Advanced Applications (DASFAA), 2010.
- Jia Zhu, Gabriel Pui Cheong Fung, Xiaofang Zhou. Anddy: A System for Author Name Dis-ambiguation in Digital Library. In Proceedings of the 15th International Conference on Database Systems for Advanced Applications (DASFAA), 2010.
- Ke Deng, Liwei Wang, Xiaofang Zhou, Shazia Sadiq, Gabriel Pui Cheong Fung. Active Du-plicate Detection. In Proceedings of the 15th International Conference on Database Systems for Ad-vanced Applications (DASFAA), 2010. (Best Paper Award)
- Wei Lu, Xiaoyong Du, Gabriel Pui Cheong Fung.. In Proceedings of the 2010 International Con-ferences on Asia-Pacific Web (APWeb), 2010.
- Wei Lu, Gabriel Pui Cheong Fung, Xiaoyong Du. Dominant and K Nearest Probabilistic Sky-lines. In Proceedings of the 14th International Conference on Database Systems for Advanced Applica-tions (DASFAA), 2009.
- Jia Zhu, Gabriel Pui Cheong Fung, Xiaofang Zhou. A Term-based Driven Clustering Ap-proach for Name Disambiguation. In Proceedings of the 2009 Joint International Conferences on Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM), 2009.
- Ken Deng, Hu Xu, Shazia Sadiq, Yansheng Lu, Gabriel Pui Cheong Fung, Heng Tao Shen. Processing Group Nearest Group Query. In Proceedings of the 25th International Conference on Data Engineering (ICDE), 2009.
- Gabriel Pui Cheong Fung and Xiaofang Zhou. Biolism – A System for Searching and Mining Bio-Literatures. In Proceedings of 19th International Conference on Genome Informatics (GIW), 2008. (Selected poster for oral presentation)
- Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu. Mining Multiple Time Series Co-movements. In Proceedings of the 10th Asia-Pacific Web Conference (APWeb), 2008. (Best Paper Award)
- Di Wu, Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Zheng Liu. Integrating Multiple Data Sources for Stock Prediction. In Proceedings of the 9th International Conference Web Information Systems Engineering (WISE), 2008.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu. Time-Dependent Event Hi-erarchy Construction. In Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining (KDD), 2007.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu. A Bal-anced Ensemble Approach to Weight Classifiers for Text Classification. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM), 2006.
- Gabriel Pui Cheong Fung. VISE: A System for Visualizing Salient Events in a Text Stream. In Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS), 2006.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Philip S. Yu, Hongjun Lu. Parameter Free Bursty Events Detection in Text Streams. In Proceedings of the 31st International Conference on Very Large Database (VLDB), 2005.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu, Philip S. Yu. Text Classification with-out Negative Labeled Examples. In Proceedings of the 21st International Conference of Data Engi-neering (ICDE), 2005.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu. Classifying Text Streams in the Pres-ence of Concept Drifts. In Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2004 (Best Paper Award)
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu. Classifying High Speed Text Stream. In Proceedings of the 4th International Conference on Web-Age Information Management (WAIM), 2003
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam. Stock Prediction: Integrating Text Mining Approach using Real-Time News. In Proceedings of the 7th IEEE International Conference on Computational Intelligence for Financial Engineers (CIFEr), 2003.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu. Discriminative Category Matching: Efficient Text Classification for Huge Document Collections. In Proceedings of the 2nd IEEE In-ternational Conference on Data Mining (ICDM), 2002.
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam. News Sensitive Stock Trend Prediction. In Proceedings of the 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2002.
Invited Presentation (Selected)
- “Written Chinese Error Detection and Correction Suggestion.” Seminar. South China Normal University, Guangzhou, China. 2016/06/02.
- “Cloud Computing Evolution or Revolution?” Seminar. The School Net and The Hong Kong Association for Computer Education. NLSI Lui Kwok Pat Fong College, Hong Kong. 2012-05-10.
- “Cyber-bullying.” Staff Development Day. Yuen Long Public Secondary School, Hong Kong. 2011-09-30.
- “A Random walk on Social media and relationship development.” Arizona State University, Arizona, USA. 2010-09-08.
- “Event Hierarchy Construction.” The University of Hong Kong, Hong Kong, China. 2007-05-31.
Research and Commercial Projects (Selected)
Integrated Community-based Microblog Recommendation System (INCOMIRS), 2016 – 2019
Background This research project is fund by the Information Technology Fund (ITF) from the Hong Kong Government. It is a platform project collaborates between The Hong Kong R&D Cen-tre for Logistics and Supply Chain Management Enabling Technologies (LSCM R&D Center) and the Department of Systems Engineering and Engineering Management (SEEM), The Chinese University of Hong Kong (CUHK).
About This research project attempt to develop a prototype system for issuing products/services recommendations to the social media users based on their posting patterns, post contents, demo-graphic information, location information, temporal information, etc. The goal of this project is not only to “proof of concept”, but also to derive and deploy a model with sound effectiveness based on the state-of-the-art data mining and big data analysis techniques.
My Role & Duty Project Manager.
Literature Recommendation Engine for Researchers, 2016 – 2018
Background This research project is fund by the South China Normal University, Guangzhou, China.
About this research project is to build a literature recommendation engine for recommending the latest literatures to researchers. The goal is to develop a fully featured search and recommenda-tion engine. To build such engine, we will consider several issues, such as, but not limited to: the citation graph among articles, the fact that a user interest may change over time, the authors that the user worked with in the past. Different data mining areas are involved, such as big data anal-ysis, deep learning and concept drift/shift.
My Role & Duty Project Consultant and Solution Architect.
Eye Movement Analyzer, 2016
Background This project is supported by Alice Ho Miu Ling Nethersole Hospital in Hong Kong.
About This project is to analyze the eye movements of Parkinson patients based on the results ob-tained from Tobii Studio. The goal of the analysis is to classify the eye movements into one of the three categories (fixation, saccade and smooth pursuit) and recommend patterns to hospital doc-tors to help doctors to conduct analysis. Major techniques applied are outlier removal, clustering and classification. Some state-of-the-art algorithms, such as IVDT, ST-DBSCAN, are implement-ed.
My Role & Duty Solution Architect and Product Developer.
Colloquial and Typographical Error Detection with Automatic Correction Suggestion, 2015 - 2018
Background This research project is fund by the Hong Kong Applied Science and Technology Re-search Institute (ASTRI).
About The goal of this research project is to develop an engine for identifying the colloquial Can-tonese within a set of written Traditional Chinese characters, and offer recommendations to re-place the identified colloquial Cantonese with properly written Chinese. In addition, the engine has to identify the typographical errors and to offer correction suggestion. Certain state-of-the-art natural language processing (NLP), pattern matching and data mining techniques are used.
My Role & Duty Project Manager.
Roadshow Mobile App, 2015 – 2016
Background This commercial project is supported by a famous headphone company (name not to be disclosed)
About This project is to develop a mobile app for Android tablet devises. The content of the mo-bile app contains promotional information of the company, such as its audio products, the awards that the company won, etc. This mobile app is not available for public download but is used by the sales in the company for demonstrating their products to the public during their roadshows or promotion events.
My Role & Duty Solution Architect and Product Developer.
Hallo Deutsch Mobile App for Hong Kong and Taiwan, 2011, 2016
Background This commercial project is supported by The Gothic-Institut in Hong Kong and The Gothic-Institut in Taiwan.
About. The Goethe-Institut is a non-profit German cultural association operational worldwide with 159 institutes, promoting the study of the German language abroad and encouraging inter-national cultural exchange and relations. This project is to develop a mobile app game. The goal of this game is to help the players to learn German. The first version of this app was available on 2011 and only iOS version is available. The second version is available on 2016 and both Android and iOS versions are available.
My Role & Duty Solution Architect and Product Developer.
Visual Search (Desktop Software) and Smooth Pursuit (Desktop Software), 2015
Background This project is supported by the Alice Ho Miu Ling Nethersole Hospital in Hong Kong.
About This project is to develop two different kinds of desktop software for helping doctors to conduct experiments for monitoring the eye movements of Parkinson patients. Both these two desktop software can be synchronized with the Tobii studio. The goal of the first desktop soft-ware, namely Visual Search, is to keep track of the eye movements of a patient while he/she is searching for a digit among a set of 40 alphabets. The second desktop software, namely Smooth Pursuit, is to keep track of the eye movements of a patient while his/her eyes are following the random movement of a dot on a computer monitor screen.
My Role & Duty Solution Architect and Product Developer.
CITM Hotels.com Mini-Site, 2015
Background This commercial project is supported by Hotels.com
About This goal of this project is to propose and develop the skeleton and basic structure of a website for hotels.com to publish their news/information (http://www.citm2015.com). The tasks include, but not limited to: choice of programming language, choice of database technology, choice of content management system, implement the basic structure based on some design guidelines and design principles
My Role & Duty Solution Architect.
Air Quality Mobil App, 2014
Background This research project is fund by The Department of Systems Engineering and Engi-neering Management, The Chinese University of Hong Kong.
About This research project is to develop a multi-platform (iPhone, iPad and Android) mobile app for recording the air quality of Hong Kong. The major element of this app include GPS location tracking, real-time synchronized with camera, location names automatic suggestion, real-time server synchronization, etc.
My Role & Duty Solution Architect and System Developer.
Teaching Experience (on and after 2005)
2017/09 – 2018/05
SEEM4540 Open Systems for E-CommerceSEEM4570 System Design and Implementation
2016/09 – 2017/05
SEEM4570 System Design and Implementation2015/09 – 2016/05
SEEM4540 Open Systems for E-CommerceSEEM4570 System Design and Implementation
2014/09 – 2015/05
SEEM4540 Open Systems for E-CommerceSEEM2440 Engineering Econcomics
SEEM4570 System Design and Implementation
SEEM3490 Information Systems Management
2013/09 – 2014/05
SEEM4570 System Design and ImplementationSEEM3490 Information Systems Management
2012/09 – 2013/05
SEEM4570 System Design and Implementation (Rating: 5.0/6.0, departmental average: 4.8)2011/09 – 2012/05
SEEM4570 System Design and Implementation (Rating: 5.4/6.0, departmental average: 4.8)2009/09 – 2010/05
CSE572 Data Mining (Guess Lecturer for 5 weeks)2008/09 – 2009/05
INFS7202 / INFS3202 Web Information System (Rating: 4.3/5.0)2007/09 – 2008/05
INFS7203 /INFS4203 Data Mining (Rating: 4.2/5.0)2006/09 – 2007/05
SEG7430 Information Technology Management (Postgraduate)SEG2440 Engineering Economy (Rating: 4.73/6.0, departmental average: 4.67)
SEG3410 Systems Modeling & Simulation (Rating: 4.94/6.0, departmental average: 4.67)
SEG3490 Information Systems Management (Rating: 4.75/6.0, departmental average: 4.67)
SEG7470 Open Systems and E-Commerce (Postgraduate)
SEG3490 Information Systems Management
2005/09 – 2006/05
SEG2440 Engineering EconomySEG7470 Open Systems and E-Commerce (Postgraduate)
SEG3490 Information Systems Management (Rating: 4.78/6.0, departmental average: 4.3)
Honors and Awards
2018 Champion, BOCHK FinTech Hackathon (FinTech Group)2017 第三屆全國青年人工智能創新創業大會：創新類一等獎
2017 高等学校科学研究优秀成果奖（科学技术）：科技进步奖
2008 Best Paper Award, APWeb’08
2006 United College Endowment Fund (under Student Campus Training and Service Award Scheme), Principal Investigator
2005 Lee Hysan Foundation Research Grant and Endowment Fund Research Grant, Principal Investigator
2005 United College Endowment Fund (under Student Campus Training and Service Award Scheme), Principal Investigator
2004 Best Student Paper Award, PAKDD’04
2004 Best Teaching Assistant Award, Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
2003 Worthwhile Mentioning Award, Postgraduate Paper Context ’02, ACM HK Chapter
2002 Top Ten Papers Award, IEE Hong Kong Young Members Paper Context ’02, IEE