Edward Hung's Research

ehung[at]cs[dot]umd[dot]edu

M.S.(Maryland), M.Phil.(HK), B.Eng.(HK)

Edward Hung is a Ph.D. candidate at the Department of Computer Science, the University of Maryland, College Park (UMCP) since April 2003. He was supported by Scholarships from the Croucher Foundation for his Ph.D. research during 2000 - 2003. He is now a research assistant under supervision of Prof. V.S. Subrahmanian. He received his B.Eng. in Computer Engineering and M.Phil. in Computer Science from the University of Hong Kong in 1998 and 2000 respectively, and his M.S. in Computer Science in UMCP in May 2002. He was awarded a number of scholarships, including Epson Foundation Scholarship, the Hong Kong and China Gas Company Limited Postgraduate Scholarship, Stephen Kam-Chuen Cheong Memorial Scholarships, and the Hong Kong Institution of Engineers Student Prize, etc. He has five conference papers, two journal papers and a book chapter related to managing ontologies, similarities and probabilities in semistructured databases, data warehousing, parallel data mining and E-commerce. More information about his research and publications can be accessed from http://www.cs.umd.edu/~ehung

My Resume

My Curriculum Vitae

HKU Syllabus

My Courses



G.P.A. in Ph.D in UMCP = 4.0/4.0
M.S. in Computer Science (5/2002). G.P.A. in M.S. in UMCP = 4.0/4.0
M.Phil. in Computer Science (7/2000). G.P.A. in M.Phil. in HKU = 4.0/4.0
B.Eng. in Computer Engineering (6/1998). G.P.A. in B.Eng. in HKU = 3.87/4.0 (overall), 3.89/4.0 (major), 3.89/4.0 (last 2 years).

2 Publication in 2004: a conference paper in SIGMOD, a journal paper in JIIS (Journal of Intelligent Information Systems)
2 Publication in 2003: a conference paper in ICDT, a conference paper in ICDE
2 Publication in 2002: a journal paper in DAPD (Distributed and Parallel Database), a book chapter in E-Service
1 Publication in 2000: a conference paper in PAKDD
1 Publication in 1999: a conference paper in IDC
4 papers submitted: two conference papers, two journal papers
1 paper in progress: a journal paper

Estimated impact of publications: (rank, name, impact factor, percentile)
66. SIGMOD Conference: 1.74 (top 5.40%)
129. ICDT: 1.41 (top 10.56%)
167. ICDE: 1.25 (top 13.67%)
206. Distributed and Parallel Databases: 1.16 (top 16.87%)
241. JIIS: 1.08 (top 19.73%)
801. PAKDD: 0.30 (top 65.60%)


Group
DBChat
Data Mining Reading Group
Graph Mining and Link Analysis Reading Group

The University of Maryland, College Park (August 2000 - now)

I am now a Ph.D candidate in Department of Computer Science of University of Maryland, College Park, which was ranked the 12th in US by US News.

I got A in 7 out of all 8 courses taken (for Ph.D qualifying course requirement, where 2 courses were waived for system area): CMSC424 Database Design, CMSC727 Neural Modeling, CMSC751 Parallel Algorithms, CMSC724 Database Management Systems, CMSC838S Human Factors in Computer and Information Systems, CMSC858K Approximation Algorithms, and CMSC838M Advanced Topics in Software Testing.

I got A+ in the remaining course: CMSC726 Machine Learning

For my M.S. course requirement, in addition to the above 8 courses, I got A+ in the remaining 2 courses: CMSC828A Advanced Topics in Information Processing: Independent Study by V.S. Subrahmanian (2 semesters).

Besides, I got A+ in: CMSC899 Doctoral Dissertation Research (1 credit in Spring 2002, 3 credits in Fall 2002, 3 credits in Spring 2003).

I have been working on database, data mining, E-commerce, data warehouse and approximation algorithm.

I have been studying various advanced topics in database (theory, mining, object oriented database, semistructured data, warehouse, etc), E-commerce, human-computer interface design, advanced algorithms (approximation algorithm, parallel algorithm, etc), neural network, etc.

However, I am also interested in various areas like systems, vision, AI and graphics.

The University of Hong Kong (July 1998 - July 2000)

Before studying the M.Phil. degree, I was a graduate of BEng of Computer Engineering in HKU. In 1998-1999, I got A in MSc courses: CSIS 6954 Advanced Topics in Database Systems, CSIS 6922 Fundamentals of Parallel Computing, ELEC 6062 Scalable Parallel Computing, and CSIS 6924 Algorithms.

My research was on database warehousing and data mining, under the supervision of Dr D.W.L. Cheung of the Department of Computer Science and Information Systems, the University of Hong Kong. My research topic was about data cube and maintenance, parallel data mining.

I have been studying mining association rules, dense-region OLAP (DROLAP), clustering, R*-tree, outliers, data cube system design, parallel algorithm, set partitioning, etc.

Research Groups
Publications
Technical Reports
Talks
Final Year Project (Visualization of Objects under Relativistic Effects)
Links
Research Projects
Research Diary

• DBLP Bibliography

  • DBLP: Edward Hung (Citation from the DBLP Bibliography Server)

• DBLP Bibliography (most updated)

  • DBLP: Edward Hung (Citation from the DBLP Bibliography Server)

  • Coauthors of Edward Hung

  • Search Result for Edward Hung (Homepage Search)

• ResearchIndex [NEC Research Institute; Steve Lawrence, Kurt Bollacker, Lee Giles; Computer Science]

  • An Optimization Problem in Data Cube System Design (ResearchIndex)

  • Parallel Algorithm for Mining Outliers in Large Database (ResearchIndex)

  • Edward w/1 Hung or E w/1 Hung - ResearchIndex document query

Research Group

The University of Maryland, College Park (August 2000 - now)

I am now working with V.S. Subrahmanian, Lise Getoor and Yu Deng.

Group
DBChat
Data Mining Reading Group
Graph Mining and Link Analysis Reading Group

The University of Hong Kong (July 1998 - July 2000)

I was doing research with:
 

The Database Research Group also included Dr Ben Kao, C.L. Yip (Beta), C.Y. Ng, Reynold Cheng, Michael Tang, etc.
Contact telephone number of other people in CSIS can be found in Contacts under Information under CSIS homepage.

HKU CSIS Fax number: 25598447
 
 
 

Publication

Book Chapters

• E. Hung with I. Ceaparu, D. Demner, B. Shneiderman and H. Zhao, "'In Web We Trust': Establishing Strategic Trust Among Online Customers", in R. Rust and P.K. Kannan (Editors), E-Service: New Directions in Theory and Practice, M. E. Sharpe Publishers, Armonk, NY, 2002. (MS Word format) (ISBN: 0765608065 or 0765608073)

Journal Papers

• Edward Hung, Lise Getoor, V.S. Subrahmanian, "PXML: A Probabilistic Semistructured Data Model" (under review)

• David Cheung, Edward Hung, Ben Kao, Hongjun Lu, T.W. Lam, H.F. Ting, "Requirement-based Data Cube Optimization" (under review)

• Edward Hung, David W. Cheung, Ben Kao, "Optimization in Data Cube System Design", in Journal of Intelligent Information Systems, Kluwer Academic Publishers, Volume 23, Issue 1, July 2004, pages 17-45.

• Edward Hung, David W. Cheung, "Parallel Mining of Outliers in Large Database", in Distributed and Parallel Databases, Kluwer Academic Publishers, Vol 12, pages 5-26, 2002. (ps format) (pdf format) (Kluwer pdf format)

Refereed Conference Papers

• Edward Hung, Yu Deng, V.S. Subrahmanian, "TOSS: An Extension of TAX with Ontologies and Similarity Queries", in the Proceedings of the 23rd ACM SIGMOD International Conference on Management of Data, Paris, France, pages 719-730, June 13-18, 2004. (acceptance rate = 69/431 = 16%) (ps format) (pdf format)

  • June 17, 2004: Speaker for the above accepted paper. (powerpoint)

  
  

• Edward Hung, Lise Getoor, V.S. Subrahmanian, "PXML: A Probabilistic Semistructured Data Model and Algebra", in the Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, pages 467-478, March 5-8, 2003. (acceptance rate = 51/378 = 13%) (ps format) (IEEE pdf format)

  • March 8, 2003: Speaker for the above accepted paper. (powerpoint)

• Edward Hung, Lise Getoor, V.S. Subrahmanian, "Probabilistic Interval XML", in the Proceedings of the Ninth International Conference on Database Theory (ICDT) , Siena, Italy, pages 361-377, January 8-10, 2003. (acceptance rate = 26/91 = 29%) (ps format) (Springer pdf format) (Copyright (C) Springer-Verlag)

  • 2:30pm, Jan 10, 2003: Speaker for the above accepted paper. (powerpoint)

• Edward Hung, David W. Cheung, Ben Kao, Y.L. Liang, "An Optimization Problem in Data Cube System Design", in the Proceedings of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) , Kyoto, Japan, pages 74-85, April 18-20, 2000. (acceptance rate = 34/116 = 29%) (ps format) (pdf format) (Copyright (C) Springer-Verlag)

  • 4:30pm, April 19, 2000: Speaker for the above accepted paper. Click here to see the talk.

• Edward Hung, David W. Cheung, "Parallel Algorithm for Mining Outliers in Large Database", in the Proceedings of the Ninth International Database Conference (IDC'99) , Hong Kong, July 15-17, 1999. (ps format) (pdf format)

  • 2:40pm, 17 July, 1999: Speaker for the above accepted paper. Click here to see the talk.

Working Journal Papers

• Edward Hung, Lise Getoor, V.S. Subrahmanian, "Probabilistic Interval XML"

Working Conference Papers

M.Phil. Thesis

• Edward Hung, "Data Cube System Design: An Optimization Problem", the University of Hong Kong, April, 2000. (ps format) (pdf format) (Abstract: (ps format) (pdf format))

  • 2:30pm, 19 June, 2000: M.Phil. Oral Defense, CYC 308, the University of Hong Kong. Click here to download the talk in zipped powerpoint format.

Technical Reports

• Scholar paper for M.S. degree in UMD: Edward Hung, "ProbSem: A Probabilistic Semistructured Database Model" (Apr 2002) (ps format)

• CMSC838M Advanced Topics in Programming Languages: Advanced Topics in Software Testing, individual research project report:
  Edward Hung, "Testing of Database Applications" (Dec 2001) (ps format)

• CMSC726 Machine Learning, individual research project report:
  Edward Hung, "Comparative Evaluation of Methods in Induction of Procmail Recipes from Classified Emails" (Nov 2001) (ps format)

• CMSC724 Database Management Systems, individual research project report:
  Edward Hung, "Deduction of Procmail Recipes from Classified Emails" (May 2001) (ps format)

• CMSC858K Approximation Algorithms, individual research project report:
  Edward Hung, "Inapproximability of Materialized View Selection Problem and Non-metric K-medians Problem" (May 2001) (ps format)

• CMSC838S Human Factors in Computer and Information Systems, group experimental project report:
  I. Ceaparu, D. Demner, E. Hung, H. Zhao, "'In Web We Trust': Establishing Strategic Trust Among Online Customers", http://www.otal.umd.edu/SHORE2001/webTrust/index.html (May 2001)

• CMSC838S Human Factors in Computer and Information Systems, individual project report:
  Edward Hung, "Universal Usability in Practice: Blind and Low Vision Users", http://www.otal.umd.edu/UUPractice/vision or local copy (April 2001)

• ELEC6062 Scalable Parallel Computing, project report:
  Edward Hung, Fault Tolerance and Checkpointing Schemes for Clusters of Workstations (Dec 1998)

• CSIS6922 Fundamentals of Parallel Computing, project report:
  Edward Hung, Parallel Algorithm for Mining Outliers in Large Databases (Dec 1998)

• CSIS6922 Fundamentals of Parallel Computing, programming project report:
  H.D. Li, E. Hung , Y. Wang, Parallel Bitonic Sorting Project Report (Dec 1998)

My Talks

• June 17, 2004: Speaker for the following conference paper:
  Edward Hung, Yu Deng, V.S. Subrahmanian, "TOSS: An Extension of TAX with Ontologies and Similarity Queries", in the Proceedings of the 23rd ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004. (powerpoint)

• Jun 30, 2003, Invited Talk in Database Seminar, Department of Computer Science and Information Systems, University of Hong Kong, Hong Kong.

  Title: PXML: A Probabilistic Semistructured Data Model and Algebra
  (powerpoint)

• Mar 8, 2003: Speaker for the following conference paper:
  Edward Hung, Lise Getoor, V.S. Subrahmanian, "PXML: A Probabilistic Semistructured Data Model and Algebra", in the Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, March 5-8, 2003. (powerpoint)

• 2:30pm, Jan 10, 2003: Speaker for the following conference paper:
  Edward Hung, Lise Getoor, V.S. Subrahmanian, "Probabilistic Interval XML", in the Proceedings of the Ninth International Conference on Database Theory (ICDT) , Siena, Italy, January 8-10, 2003. (powerpoint)

• Sep 24, 2002, Talk in DBChat, Department of Computer Science, University of Maryland, College Park, US

  Title: PXML: A Probabilistic Semistructured Data Model and Algebra
  (powerpoint)

• Aug 13, 2002, Invited Talk in Database Seminar, Department of Computer Science and Information Systems, University of Hong Kong, Hong Kong.

  Title: PIXML: Probabilistic Semistructured Databases
  (powerpoint)

• Apr 22, 2002, Invited Talk in Uncertain Reasoning Seminar, Department of Computer Science, University of Kentucky, Lexington, Kentucky, US.

  Title: PXML: Probabilistic Semistructured Databases
  (powerpoint)

• 2:05pm, Nov 27, 2001: Paper presentation in the class CMSC838M Software Testing: A Framework for Testing Database Applications Click here to download the talk in zipped powerpoint format.

• 2:30pm, 19 June, 2000: M.Phil. Oral Defense, CYC 308, the University of Hong Kong. Click here to download the talk in zipped powerpoint format.

• 4:30pm, 19 April, 2000: Speaker for the following conference paper:
  Edward Hung, David W. Cheung, Ben Kao, Y.L. Liang, "An Optimization Problem in Data Cube System Design", in the Proceedings of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000), Kyoto, Japan, April 18-20, 2000. Click here to see the talk.

• 2:40pm, 17 July, 1999: Speaker for the following conference paper:
  Edward Hung, David W. Cheung, "Parallel Algorithm for Mining Outliers in Large Database", in Proc. 9th International Database Conference (IDC'99), July 1999. Click here to see the talk.

• 2:15pm, June 28, 1999, in CYC 313, HKU: M.Phil. Probation Talk (abstract). Click here to see the talk.

• 2pm - 3:15pm, September 25, 1998: Speaker of a talk in "Database Group Seminar" introducing Knorr 98: "Algorithms for Mining Distance-Based Outliers in Large Datasets" by Edwin M. Knorr and Raymond T. Ng. Click here to see the talk.

My Final Year Project (1997-1998):

Visualization of Objects under Relativistic Effects (abstract)

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