Raymond Chi-Wing Wong Assistant Professor Department of Computer Science and Engineering (CSE) the Hong Kong University of Science and Technology (HKUST) Office: 　 Rm 3542 (via Lift No. 25-26) Department of Computer Science and Engineering The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong 　 Email: Tel: (852) 2358 6982 Fax: (852) 2358 1477

Biography | Research Experience | Teaching Experience | Mentoring Experience |
Award | Publication | Academic Activity | Presentation | Research Statement | CV

　

News: He is now looking for postgraduate students interested in research areas of data mining, databases and privacy. Please contact him with your resume, including your academic background and the scores of each subject in your undergraduate study, if you are interested.

Biography

Raymond Chi-Wing Wong is an Assistant Professor in Computer Science and Engineering (CSE) of The Hong Kong University of Science and Technology (HKUST). He received the BSc, MPhil and PhD degrees in Computer Science and Engineering in the Chinese University of Hong Kong (CUHK) in 2002, 2004 and 2008, respectively. In 2004-2005, he worked as a research and development assistant under an R&D project funded by ITF and a local industrial company called Lifewood.

From May 2006 to Aug 2006, he was a visiting student of Prof. Jian Pei and Prof. Ke Wang, at Simon Fraser University in Canada. From Aug 2007 to Sept 2007, he visited IBM T.J. Watson Research Center as a summer intern under the supervision of Prof. Philip S. Yu. From Jun 2008 to Jul 2008, he visited Prof. Tamer Ozsu at University of Waterloo as a visiting scholar. Some of his collaborators are Prof. Ada Fu (2003-2009), Prof. Ke Wang (2003-2009), Prof. Jian Pei (2006-2009), Prof. Yufei Tao (2007-2009), Prof. Ihab Ilyas (2009), Prof. Tamer Ozsu (2009), Prof. Jeffrey Yu (2009), Prof. Philip S. Yu (2009), Prof. Jiuyong Li (2006-2008), Prof. Lei Chen (2008), Prof. Eamonn Keogh (2008) and Prof. Oscar Au (2004-2007).

Research Experience

He received 19 awards. Within 6 years, he published 24 conference papers (e.g., SIGKDD, VLDB, ICDE and ICDM) and 11 journal/chapter papers (e.g., TODS, DAMI, TKDE and VLDB journal). He reviewed papers from conferences and journals related to data mining and database, including VLDB conference, SIGMOD, VLDB Journal, TKDE, TKDD, ICDE, SIGKDD, ICDM, DAMI, DaWaK, PAKDD, EDBT and IJDWM. He is a program committee member of conferences, including VLDB, CIKM, DASFAA, SDM and APWeb-WAIM, and a referee of journals, including TODS, TKDE, TKDD, DAMI and KAIS. He also gave presentations in international conferences such as VLDB09, VLDB08, VLDB07, SIGKDD07, SIGKDD06, ICDM05, SDM05, PAKDD04 and ICDM03.

His research interests include database, data mining, security, data mining for business applications, customer-centric data analysis, data warehouse, decision making, data streams, video compression and computer music. The research topics he worked include the following.

• Privacy Preservation (published in ICDE10, TODS09, ICDE09, VLDB08, TKDE08, VLDB07, SIGKDD06, ICDM05 and DaWaK06)

• Skyline in Spatial Database (published in VLDB09, EDBT09, VLDB08, TKDE09 and SIGKDD07)

• Nearest Neighbor (published in VLDB09 and VLDB07)

• Customer-Centric Data Mining (published in ICDE10, VLDB09, TODS09, EDBT09, ICE09, VLDB08, SIGKDD07, DAMI06, SDM05, ICDM05, DAMI05, PAKDD04 and ICDM03)

• Data Warehouse (published in VLDB08, TKDE09 and SIGKDD07)

• Data Stream (published in DAMI06 and SDM05)

• Association Rule Mining (published in ICDM03, DAMI05 and PAKDD04)

• Frequent Pattern Mining (published in ICDM03, DAMI05 and PAKDD04)

• Social Network Mining (published in PAKDD04)

• Clustering/Outlier (published in TKDE05)

• Time Series (published in VLDB Journal)

• Wireless Network (published in INFOCOM08)

• Rate Control over Video Streams (published in ICIP07)

• Entropy Coding (published in ICASSP07)

He also worked in different universities and research centers as follows.

1. Visiting Scholar at University of Waterloo (Jun 2008-Jul 2008)
   To conduct research with Prof. Tamer Ozsu at University of Waterloo
   　

2. Summer Intern at IBM T.J. Watson Research Center (Aug 2007-Sept 2007)
   To conduct research with Prof. Philip S. Yu at IBM T.J. Watson Research Center in New York
   　

3. Research Visitor at SFU (Simon Fraser University) (May 2006-Aug 2006)
   To conduct research with two professors, Prof. Jian Pei and Prof. Ke Wang, at Simon Fraser University in Canada
   　

4. Research Assistant at HKU ETI (E-Business Technology Institute) (May 2005-July 2005)
   To do the research work on "Drill Process Monitoring System – Drill Depth Calculation"
   　

5. Research and Development Assistant at CUHK CSE (Computer Science and Engineering) (Aug 2004-April 2005)
   To do the R&D work with a local company called Lifewood on data mining in industrial funded projects
   　

6. Summer Research Assistant at HKU ETI(E-Business Technology Institute) (July-Aug 2001)
   To do a research project about e-business and computer security

Teaching Experience

• COMP231: Database Management Systems (Fall 2009)
• COMP697J: Independent Studies: Database Management Implementation (Summer 2009)
• COMP537: Knowledge Discovery in Databases (Spring 2009)

During his master degree and his doctor degree at the Chinese University of Hong Kong,  being a teaching assistant (TA), he taught undergraduate courses such as "Introduction to Database Systems" and postgraduate courses such as "Advanced Topics in Database Systems". The score of the course evaluation was 5.57/6.0. He also obtained Excellent TA award of CSE in two courses "Introduction to Database Systems" and "Advanced Topics in Database Systems".

His teaching experience is shown as follows.

1. University Course Tutor at CUHK CSE (Computer Science and Engineering) (Aug 2002-July2004, Aug 2005-July2007)
   To assist to teach university courses

   • Introduction to Database Systems (Basic Concept in Database) (2002 Fall, 2003 Fall, 2005 Fall and 2006 Fall)

   • Advanced Topics in Database Systems (Advanced Topics in Database) (2003 Spring, 2004 Spring, 2006 Spring and 2007 Spring) (Course Evaluation = 5.57/6.0)
     　

2. Summer Teaching Assistant and Mentor at CUHK CSE ITTC (Computer Science and Department’s IT Training Centre) (July-Aug 2002)
   To assist the primary/secondary students to learn some IT skills in two courses:

   • Multimedia (Dream Weaver, Flash, Corel Draw, SoundForge and Powerpoint)

   • Computer Music (Cakewalk, Noteworthy, Band-in-a-box, Finale, AmazingMIDI, ENCORE and PrintMusic)
     　

3. Violin Tutor (2000-2001)
   To teach children to learn basic violin skills
   　

4. Secondary Private Tutor (1997-1999)
   To help secondary students to tackle HKCEE exam in subjects Mathematics, Physics, and Chemistry.
   

Mentoring Experience

FYP Consultant/Assistant (Aug 2004-April 2008)
To assist the FYP (Final Year Project) students to complete the project

1. Application of Skyline (Aug 2007-April 2008)

2. Data Mining and Skyline Queries (Aug 2006-April 2007)

3. Sequential Release for Privacy Preservation (Aug 2006-April 2007)

4. Privacy-Preserving Data Mining (Aug 2005-April 2006)

5. Discovery of Exceptional Behaviour from Data (Aug 2004-April 2005)

6. Mining Interesting Patterns in Large Database (Aug 2004-April 2005)
   　

Award

1. First-runner-up of IEEE (HK) Computational Intelligence Chapter FYP and PG Paper Competition 2008 (HK$1000) (provided by IEEE (Hong Kong) Computational Intelligence Chapter), 2008

2. PCCW Foundation Scholarship (HK$15,000)(provided by the Pacific Century CyberWorks Foundation), 2007-2008

3. Second-runner-up of IEEE (HK) Computational Intelligence Chapter FYP and PG Paper Competition 2007 (HK$500) (provided by IEEE (Hong Kong) Computational Intelligence Chapter), 2007

4. Excellent Teaching Assistant (TA) of CSE (Introduction to Database Systems), 2006-2007 (First Term)

5. Sir Edward Youde Memorial Fellowship (HK$30,000) (provided by Sir Edward Youde Memorial Fund Council), 2006-2007

6. Chung Hwa Travel Service Scholarship (HK$20,000)(provided by Chung Hwa Travel Service), 2006-2007

7. SIGKDD 2006 Student Travel Award (US$600)(provided by IBM Research), 2006

8. Excellent Teaching Assistant (TA) of CSE (Advanced Topics in Database Systems), 2005-2006 (Second Term)

9. Excellent Teaching Assistant (TA) of CSE (Introduction to Database Systems), 2005-2006 (First Term)

10. PCCW Foundation Scholarship (HK$15,000)(provided by the Pacific Century CyberWorks Foundation), 2005-2006

11. 5th ACM Postgraduate Research Day Merit Award (HK$100)(provided by ACM(HK)), 2004

12. ICDM 2003 Student Travel Award (US$500)(provided by IBM Research), 2003

13. Graduate Studentship (provided by the Chinese University of Hong Kong), 2002-2004 (Consecutive Two Years) and 2005-2008 (Consecutive Three Years)

14. First Honour (Computer Science) (provided by the Chinese University of Hong Kong), 2002

15. Swire Scholarship (HK$36,000+HK$36,000) (provided by the John Swire and Sons), 2000-2002 (Consecutive Two Years)

16. Dean's List (Computer Science) (provided by the Chinese University of Hong Kong), 1999-2002 (Consecutive Three Years)

17. Academic Subject Prize (i.e., the top student) in Physics (provided by Immaculate Heart of Marry College (IHMC)), 1998-1999

18. Academic Subject Prize (i.e., the top student) in Pure Mathematics (provided by Immaculate Heart of Marry College (IHMC)), 1998-1999

19. Academic Subject Prize (i.e., the top student) in Mathematics (provided by Immaculate Heart of Marry College (IHMC)), 1996-1997

Publication

Journal/Chapter

1. Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang and Jian Pei.
   "Anonymization-based Attacks in Privacy Preserving Data Publishing",
   ACM Transactions on Databases Systems (TODS), Volume 34, Issue 2, Jun., 2009 (pdf)
   　

2. Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, and Ke Wang
   "Online Skyline Analysis with Dynamic Preferences on Nominal Attributes".
   IEEE Transactions on Knowledge and Data Engineering (TKDE), pp1-15, Vol. 21, No. 1, Jan., 2009 (pdf) (code)
   　

3. Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu and Ke Wang,
   "(alpha, k)-Anonymous Data Publishing",
   Journal of Intelligent Information Systems, pp209-234, Vol. 33, No. 2, Oct., 2009 (pdf)
   　

4. Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, and Jian Pei.
   "Anonymisation by Local Recoding in Data with Attribute Hierarchical Taxonomies".
   IEEE Transactions on Knowledge and Data Engineering (TKDE), pp1181-1194, Vol. 20, No. 9, Sept., 2008 (pdf)
   　

5. Yingyi Bu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu,
   "Query by Humming",
   Encyclopedia of Database Systems (accepted)
   　

6. Ada Wai-Chee Fu, Eamonn Keogh, Leo Yung-Hang Lau, Chotirat Ann Ratanamahatana, Raymond Chi-Wing Wong,
   "Scaling and Time Warping in Time Series Querying",
   VLDB Journal 17(4): 899-921 (2008) (pdf)
   　

7. Raymond Chi-Wing Wong and Ada Wai-Chee Fu,
   "Mining Top-K Frequent Itemset from Data Streams",
   Journal of Data Mining and Knowledge Discovery, Volume 13, Number 2, 2006, pp193-217 (DOI: 10.1007/s10618-006-0042-x)  (pdf) (code) (data)
   　

8. Raymond Chi-Wing Wong, Ada Wai-Chee Fu and Ke Wang,
   "Data Mining for Inventory Item Selection with Cross-Selling Considerations",
   Journal of Data Mining and Knowledge Discovery, Volume 11, 2005, pp81-112 (pdf) (code)
   　

9. Sze-Chung Ngan, Tsang Lam, Raymond Chi-Wing Wong and Ada Wai-Chee Fu,
   "Mining N-most Interesting Itemsets without support threshold by the COFI-tree",
   International Journal of Business Intelligence and Data Mining,  Vol. 1, No. 1, pp.88–106, 2005 (pdf)
   　

10. Eric Ka Ka Ng, Ada Wai-Chee Fu and Raymond Chi-Wing Wong,
    "Projective Clustering by Histograms",
    IEEE Transactions on Knowledge and Data Engineering (TKDE), pp 369-383, Vol. 17, No. 3, March, 2005 (pdf)
    　

11. Raymond Chi-Wing Wong and Ada Wai-Chee Fu,
    "Association Rule Mining and Its Applications to MPIS",
    Chapter in Encyclopedia of Data Warehousing and Mining, Information Science Publishing (an imprint of Idea Group Inc.) in the Spring of 2005.  (pdf)

Conference

1. Raymond Chi-Wing Wong, Ada Wai-Che Fu, Jia Liu, Ke Wang and Yabo Xu
   "Global Privacy Guarantee in Serial Data Publishing",
   the 26th International Conference on Data Engineering (ICDE), Long Beach, California on 1-6 March, 2010
   　

2. Raymond Chi-Wing Wong, M. Tamer Ozsu, Philip S. Yu, Ada Wai-Chee Fu and Lian Liu
   "Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor",
   the 35th International Conference on Very Large Data Bases (VLDB'09), Lyon, France on 24-28 Aug, 2009
   (Acceptance 97/562 = 17.26%) (pdf) (ppt) (code)
   　

3. Qian Wan, Raymond Chi-Wing Wong, Ihab F. Ilyas, M. Tamer Ozsu and Yu Peng
   "Creating Competitive Products",
   the 35th International Conference on Very Large Data Bases (VLDB'09), Lyon, France on 24-28 Aug, 2009  
   (Acceptance 97/562 = 17.26%) (pdf) (pptx) 
   　

4. Xiaobing Wu, Yufei Tao, Raymond Chi-Wing Wong, Ling Ding and Jeffrey Xu Yu
   "Finding the Influence Set through Skylines",
   the 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia on 23-26 March, 2009
   (Acceptance 92/283 = 32.51%) (pdf)
   　

5. Yabo Xu, Ke Wang, Ada Wai-Chee Fu, and Raymond Chi-Wing Wong
   "FF-Anonymity: When Quasi-Identifiers Are Missing",
   the 25th International Conference on Data Engineering (ICDE), Shanghai, China on 29 Mar-4 Apr, 2009
   (Acceptance 147/554 = 26.53%) (pdf)
   　

6. Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei, Yip Sing Ho, Tai Wong and Yubao Liu
   "Efficient Skyline Querying with Variable User Preferences on Nominal Attributes",
   the 34th International Conference on Very Large Data Bases (VLDB'08), Auckland, New Zealand on 24-30 Aug, 2008
   (Acceptance 46/273 = 16.8%) (pdf) (ppt) (code)
   　

7. Yingyi Bu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Lei Chen and Jiuyong Li
   "Privacy Preserving Serial Data Publishing By Role Composition",
   the 34th International Conference on Very Large Data Bases (VLDB'08), Auckland, New Zealand on 24-30 Aug, 2008
   (Acceptance 46/273 = 16.8%) (pdf) (ppt) (code) (source data link)
   　

8. Hong-Ning Dai, Kam-Wing Ng, Raymond Chi-Wing Wong and Min-You Wu,
   "On the Capacity of Multi-Channel Wireless Networks Using Directional Antennas",
   The 27th IEEE International Conference on Computer Communications (INFOCOM 2008), Phoenix, Arizona on April 13-18, 2008
   (Acceptance 236/1152 = 20.5%) (pdf)
   　

9. Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang and Jian Pei.
   "Minimality Attack in Privacy Preserving Data Publishing",
   the 33rd International Conference on Very Large Data Bases (VLDB'07), Vienna, Austria on 23-28 Sept, 2007
   (Acceptance 46/263 = 17.5%) (pdf) (ppt) (code) (data)
   　

10. Raymond Chi-Wing Wong, Yufei Tao, Ada Wai-Chee Fu and Xiaokui Xiao.
    "On Efficient Spatial Matching",
    the 33rd International Conference on Very Large Data Bases (VLDB'07), Vienna, Austria on 23-28 Sept, 2007
    (Acceptance 46/263 = 17.5%) (pdf) (ppt) (code)
    　

11. Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu and Ke Wang,
    "Mining Favorable Facets",
    the Thirteenth ACM SIGKDD international conference on knowledge discovery and data mining (KDD), San Jose, California, USA on 12-15 Aug, 2007
    (Acceptance 92/513 = 17.93%) (pdf) (ppt) (code)
    　

12. Chi-Wah Wong, Oscar C. Au, Raymond Chi-Wing Wong, Hong-Kwai Lam,
    "Linear Real-time Rate Control",
    HKIE Transactions, Vol. 14, Issue 1, Mar 2007
    　

13. Chi-Wah Wong, Oscar C. Au, Raymond Chi-Wing Wong,
    "Advanced Real-time Rate Control in H.264",
    the International Conference on Image Processing (ICIP), San Antonio, Texas on Sept 16-19 2007
    　

14. Raymond Chi-Wing Wong, Yubao Liu, Jian Yin, Zhilan Huang, Ada Wai-Chee Fu and Jian Pei,
    "(alpha, k)-anonymity Based Privacy Preservation by Lossy join",
    the 8th International Conference on Web-Age Information Management, Huangshan (Yellow Mountains), China on June 16-18 2007
    (Acceptance 49/554 = 8.84%) (pdf)
    　

15. Chi-Wah Wong, Oscar C. Au, Raymond Chi-Wing Wong,
    “Advanced Macro-block Entropy Coding in H.264”,
    ICASSP 2007, Honolulu, Hawaii on April 15-20, 2007
    　

16. Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu and Jian Pei,
    "Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures",
    the 8th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Krakow, Poland on 4-8 Sept, 2006
    (Acceptance 52/145 = 35.9%)  
    (Selected as one of the 6 best papers to appear in the special issue of International Journal of Data Warehousing and Mining) (pdf) (code) (data)
    　

17. Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu and Ke Wang,
    "(alpha, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing",
    the twelfth ACM SIGKDD international conference on knowledge discovery and data mining (KDD), Philadelphia, USA on 20-23 Aug, 2006
    (Acceptance 105/457 = 23%) (pdf) (code) (data)
    　

18. Ada Wai-Chee Fu , Raymond Chi-Wing Wong and Ke Wang,
    "Privacy-Preserving Frequent Pattern Mining Across Private Databases"
    the 2005 IEEE International Conference on Data Mining (ICDM), Houston, Texas on November 27-30, 2005
    (Acceptance 141/630 = 22.38%) (pdf)
    　

19. Raymond Chi-Wing Wong and Ada Wai-Chee Fu,
    "Mining Top-K Itemsets over a Sliding Window Based on Zipfian Distribution",
    SIAM International Conference on Data Mining, on April 21-23, 2005
    (Acceptance 79/218 = 36.24%) (pdf) (code)
    　

20. Chi-Wah Wong, Oscar C. Au, Raymond Chi-Wing Wong and Hong-Kwai Lam,
    "Piecewise Linear Model for Real-Time Rate Control",
    2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, USA, on March 19-23, 2005
    　

21. Chi-Wah Wong, Oscar C. Au, Raymond Chi-Wing Wong and Hong-Kwai Lam,
    "Real-Time Rate Control Via Variable Frame Rate and Quantization Parameters",
    Advances in Multimedia Information Processing - PCM 2004: 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, on November 30 - December 3, 2004
    　

22. Raymond Chi-Wing Wong and Ada Wai-Chee Fu,
    "ISM: Item Selection for Marketing with Cross-Selling Considerations",
    The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Sydney, Australia on May 26-28, 2004
    (Acceptance 50/235 = 21.3%) (pdf) (code)
    　

23. Raymond Chi-Wing Wong, Ada Wai-Chee Fu and Ke Wang,
    "Choosing Best Items by Considering Relationships Between Items",
    5th ACM Postgraduate Research Day, the Chinese University of Hong Kong on 31 Jan, 2004
    　

24. Raymond Chi-Wing Wong, Ada Wai-Chee Fu and Ke Wang,
    "MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations",
    The 2003 IEEE International Conference on Data Mining (ICDM), Melbourne, Florida on November 19-22, 2003
    (Acceptance 58/501 = 11.6%) (pdf) (code)

Academic Activity

1. Reviewers of conferences: ICDE10, ICDM09, SIGKDD09, SDM09, DASFAA09, the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE) 2009, The first International Workshop on Mobile Business Collaboration (MBC'09) to be held in conjunction with DASFASS'09, ICDM08, PinKDD08, KDD08, SIGMOD08, SDM08, PAKDD08, EDBT08, ICDE08, ICDM07, VLDB07, DBMAN07, PAKDD07, ICDE07, ICDM06, DaWaK06, KDD06, WAIM06, PAKDD06, EDBT06, the IASTED International Conference on Databases and Applications (DBA) 2005, VLDB05, ICDM04, ICDE04, ICDM03
   　

2. Reviewers of journals: Proceedings of the VLDB Endowment (PVLDB) 2008, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2008, Very Large Data Bases Journal (VLDBJ) 2008, ACM Transactions on Knowledge Discovery from Data (TKDD) 2008, Journal of Knowledge and Information Systems (KAIS) 2007, Journal of Data Mining and Knowledge Discovery (DAMI) 2007, Journal of Knowledge and Information Systems (KAIS) 2007, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2006, Journal of Data Mining and Knowledge Discovery (DAMI) 2006, TKDE 2005, International Journal of Data Warehousing and Mining (IJDWM) 2005, Very Large Data Bases Journal (VLDBJ) 2005, Journal of Parallel and Distributed Computing 2005, the journal - Systems & Control Letters 2003
   　

3. Referees: ACM Transactions on Databases Systems (TODS) 2009, Very Large Data Bases Journal (VLDBJ) 2009, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2009, ACM Transactions on Knowledge Discovery from Data (TKDD) 2009, Data & Knowledge Engineering (DKE) 2009, Distributed and Parallel Databases (DAPD) 2009, International Journal of Information Technology & Decision Making 2009, Journal of Computer Science and Technology (JCST) 2009, Technology Transfer Center (HKUST) 2009, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2008, IEEE Transactions on Semiconductor Manufacturing 2008, International Journal of Services Sciences (IJSSCI) 2008, Journal of Data Mining and Knowledge Discovery (DAMI) 2007, Journal of Knowledge and Information Systems (KAIS) 2007, the journal - Systems & Control Letters 2003
   　

4. Program Committee: SDM 2010, DASFAA 2010, ISI10, VLDB 2009, CIKM 2009, SDM 2009, APWeb-WAIM 2009, The 10th International Conference on Web Information Systems Engineering (WISE 2009), The 2009 International Conference on Web Information Systems and Mining (WISM), The 2009 International Workshop on Web Information and Data Management (WIDM) to be held in conjunction with CIKM 2008, the first International workshop on Web-based Contents Management Techniques (WCMT'09) to be held in conjunction with WAIM'09/APWeb'09, the 1st International Workshop on Knowledge Discovery in Web 2.0 Environments (KDWeb2 2009) in conjunction with NCM 2009 conference, Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction 2008
   　

5. Chair: Poster Co-chair of CIKM 2009, Co-chair of the first International Workshop on Privacy-Preserving Data Analysis (PPDA'09) to be held in conjunction with DASFAA'09, Activity Chair of IEEE (Hong Kong) Computational Intelligence Chapter
   　

6. Editor Review Board: Editorial Review Board (ERB) of the International Journal of Systems and Service-Oriented Engineering (IJSSOE)
   　

7. Session Chair: VLDB 2009, CIKM 2009, WIDM 2009
   　

8. Poster Boaster Session Chair: CIKM 2009
   　

9. Student Helper of conferences: ICDM06, KDD06, VLDB02
   　

10. Some Administrative Work of conferences: ICDM03
    　

Presentation

1. Topic: "CIKM 2009 Poster Boaster (IR Track)"
   Venue: CIKM'09, Hong Kong
   Date: Nov 2-6, 2009
   　

2. Topic: "Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor"
   Venue: VLDB'09, Lyon, France
   Date: Aug 24-28, 2009
   　

3. Topic: "Efficient Skyline Querying with Variable User Preferences on Nominal Attributes"
   Conference: VLDB'08, Auckland, New Zealand
   Date: Aug 24-30, 2008
   　

4. Topic: "Privacy Preserving Serial Data Publishing By Role Composition"
   Conference: VLDB'08, Auckland, New Zealand
   Date: Aug 24-30, 2008
   　

5. Topic: "Minimality Attack in Privacy Preserving Data Publishing"
   University: University of Waterloo, Waterloo, Canada
   Date: July 18, 2008
   　

6. Topic: "On Efficient Spatial Matching"
   University: Simon Fraser University, Vancouver, Canada
   Date: Jun 13, 2008
   　

7. Topic: "Minimality Attack in Privacy Preserving Data Publishing"
   Conference: VLDB07, Vienna, Austria
   Date: Sept 23-28, 2007 
   　

8. Topic: "On Efficient Spatial Matching"
   Conference: VLDB'07, Vienna, Austria
   Date: Sept 23-28, 2007
   　

9. Topic: "Mining Favorable Facets",
   Conference: KDD07, San Jose, California, USA
   Date: Aug 12-15, 2007
   　

10. Topic: “(alpha,k)-Anonymity: An Enhanced k-Anonymity Model for Privacy Preserving”
    Conference: SIGKDD 2006, Philadelphia, USA
    Date: Aug 20-23, 2006
    　

11. Topic: “Privacy-Preserving Frequent Pattern Mining Across Private Databases”
    Conference: ICDM05, Houston, Texas
    Date: November 27-30, 2005
    　

12. Topic: “Mining Top-K Itemsets over a Sliding Window Based on Zipfian Distribution”
    Conference: SDM05, New Port, California, USA
    Date: April 21-23, 2005
    　

13. Topic: "ISM: Item Selection for Marketing with Cross-Selling Considerations"
    Conference: PAKDD04, Sydney, Australia
    Date: May 26-28, 2004
    　

14. Topic: "Choosing Best Items by Considering Relationships Between Items"
    Research Day: 5th ACM Postgraduate Research Day, the Chinese University of Hong Kong
    Date: 31 Jan, 2004
    　

15. Topic: "MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations",
    Conference: ICDM03, Melbourne, Florida
    Date: November 19-22, 2003
    　

Research Statement

Basically, I have various research interests. Here is a brief summary of my research statement to summarize some of my research topics with their contributions and impacts.
　

1. Knowledge Discovery

• Applications of Data Mining
  During my master degree, I focused on studying the "utility" of data mining. Most traditional data mining techniques find many different "patterns". For example, association rules and clustering are typical patterns in data mining. However, these patterns cannot directly be used for decision making which is the main objective of data mining. The focus of my research work about knowledge discovery is how to utilize these kinds of traditional patterns in data mining. More specifically, in my work published in ICDM03, association rule mining which are studied extensively in the literature of data mining aims at understanding the relationship among items in a basket analysis. The focus of our work is to find a set of items in order to maximize the profit of the company with the use of the traditional patterns in applications of inventory control and marketing. The concept of the "utility" of data mining gives a lot of opportunities to researchers to work on many new problems which utilize the traditional data mining patterns.
  　

• Data Streams
  After I graduated my master degree, I continued working on top-K itemsets mining over data streams and published papers in Journal of Data Mining and Knowledge Discovery. In the literature of data mining, association rule mining is very popular because of the ease of understanding the relationship among items. However, it suffers from a major drawback of setting a "magic" number of the user-defined threshold which is used to determine whether an association rule is "interesting" or not. Setting this magic number depends on the characteristics of data. Setting too high gives no association rules at all but setting too low gives abundant association rules. Setting a reasonable threshold is troublesome because it may involve a lot of steps for "trying". These "trying" steps can only be used in the static data but they cannot be used over data streams because, in data streams, all data can be read once only and cannot be read back again. From the perspective of human, the number of "interesting" association rules should be roughly equal to a certain size K given by the users. In this way, the users can just give a parameter K and K "interesting" association rules can be returned as desired. My work focuses on mining top-K association rules (or simply frequent patterns) over data streams. It is different from all "magic" number dependent techniques about association rule mining over data streams. The utilization of "top-K" is not only meaningful to human but also useful with data streams where the data characteristics are unknown. 　

2. Database Queries

• Skyline Queries
  One of my recent research works published in KDD07 is skyline queries. All traditional skyline queries are based on totally-ordered numeric attributes. However, in many existing applications, there are some categorical attributes in which the ordering or preference of values is different with different users. For example, when we select air flights, some categorical attributes are airline and transition airport. Due to the inability of the existing techniques to solve this new problem, we propose some methods to handle it. Since our proposed problem is much general than the traditional problems, all variations of the traditional problems such as finding skyline over data streams and find skyline with respect to any subspace can be some of the potential research problems when categorical attributes are considered.
  　

• Spatial Matching Queries
  In my recent work published in VLDB07, I proposed a spatial matching problem which is a general problem of an extensively studied problem in the literature of spatial database, reverse nearest neighbor. My major contribution in this paper is that this work brings the researchers an attention to consider the maximum serving capacity of each service in all customer-service applications which are not considered in all existing works related to reverse nearest neighbor. We prove that our spatial matching problem is a general problem of (bichromatic) reverse nearest neighbor. Thus, all existing works related to reverse nearest neighbors can also be extended with the consideration of the capacities of services. Some examples are finding reverse nearest neighbors in real time and finding reverse nearest neighbors of moving objects with the consideration of the capacities.

3. Privacy Issues
One of my research topics is privacy. Publishing sensitive data is an important topic in the literature of privacy. The major task of data publishing is to release data which can protect individual privacy. At the same time, the "utility" of the released data can be kept as high as possible and thus the "distortion" or "information loss" of the released data should be minimized. My recent work published in VLDB07 points out that individual privacy breaches when the minimality principle is used in the anonymization. Since all existing works rely on this principle, all published tables defined by the existing works suffer from privacy breaches. Thus, since all existing works are affected, their works should be re-done with the consideration of the minimality principle during data publishing in order to protect individual privacy.

　

Raymond Wong, Raymond C.-W. Wong, Raymond C. W. Wong, Raymond C. Wong, R. C.-W. Wong, R. C. W. Wong, R. C. Wong, Chi-Wing Wong, C.-W. Wong, Chi Wing Wong, C. W. Wong, Raymond Chi-Wing Wong

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Updated on Nov 7, 2009