Zhenglu Yang

Zhenglu Yang

 

International Conference Papers

1. Efficient Querying Relaxed Dominant Relationship between Product Items based on Rank Aggregation,
   by Zhenglu Yang, Lin Li, and Masaru Kitsuregawa,  
   Proc. of 23th National Conference on Artificial Intelligence (AAAI'08), Chicago, Illinois, Jul. 2008. (full paper) [pdf (updated version)]
   
2. Query-URL Bipartite based Approach to Personalized Query Recommendation,
   by Lin Li, Zhenglu Yang, Liu Ling, and Masaru Kitsuregawa,  
   Proc. of 23th National Conference on Artificial Intelligence (AAAI'08), Chicago, Illinois, Jul. 2008. (full paper) [pdf]
   
3. Using Ontology-Based User Preferences to Aggregate Rank Lists in Web Search,
   by Lin Li, Zhenglu Yang, and Masaru Kitsuregawa,  
   Proc. of 12nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), Osaka, Japan, May 2008. (short paper) [pdf]
   
4. User-assisted similarity estimation for searching related web pages,
   by Lin Li, Zhenglu Yang, Kulwadee Somboonviwat, and Masaru Kitsuregawa,  
   Proc. of 18th ACM Conference on Hypertext and Hypermedia (HT'07), pp. 11-20, Manchester, UK, Sep. 2007. (full paper) [pdf]
   
5. Towards Efficient Dominant Relationship Exploration of the Product Items on the Web,
   by Zhenglu Yang, Lin Li, Botao Wang, and Masaru Kitsuregawa,  
   Proc. of 22nd National Conference on Artificial Intelligence (AAAI'07), pp. 1483-1488, Vancouver, Canada, Jul. 2007. (full paper) [pdf]
   
6. Aggregating User-Centered Rankings to Improve Web Search,
   by Lin Li, Zhenglu Yang, and Masaru Kitsuregawa,  
   Proc. of 22nd National Conference on Artificial Intelligence (AAAI'07), pp. 1884-1885, Vancouver, Canada, Jul. 2007. (poster) [pdf]
7. Dynamic Adaptation Strategies for Long-Term and Short-Term User Profile to Personalize Search,
   by Lin Li, Zhenglu Yang, Botao Wang, and Masaru Kitsuregawa,  
   Proc. of joint conference of the 9th Asia-Pacific Web Conference and the 8th International Conference on Web-Age Information Management (APWeb/WAIM'07), Huangshan, China, Jun. 2007. [pdf]
   
8. Towards Efficient Dominant Relationship Exploration of the Product Items on the Web,
   by Zhenglu Yang, Lin Li, Botao Wang, and Masaru Kitsuregawa,  
   Proc. of 16th International World Wide Web Conferences (WWW'07), pp. 1205-1206, Vancouver, Canada, May 2007. (poster) [pdf]
   
9. LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases,
   by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,  
   Proc. of 12th International Conference on Database Systems for Advanced Applications (DASFAA'07), pp. 1020-1023, Bankok, Thailand, Apr. 2007. (poster) [pdf]
   
10. General Dominant Relationship Analysis based on Partial Order Models,
    by Zhenglu Yang, Botao Wang, and Masaru Kitsuregawa,  
    Proc. of 22nd ACM Symposium on Applied Computing (SAC'07), Soul, Korea, Mar. 2007. (full paper)[pdf]
    
11. PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases,
    by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,  
    Proc. of 10th International Database Engineering & Applications Symposium (IDEAS'06), pp. 113-120, Delhi, India, Dec. 2006. (full paper)[pdf]
    
12. An Effective System for Mining Web Log,
    by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,  
    Proc. of 8th Asia-Pacific Web Conference (APWeb'06), pp. 40-52, Harbin, China, Jan. 2006. (full paper)[pdf]
    
13. A Two-Model Framework for Multimodal Presentation with Life-like Characters in Flash Medium,
    by Zhenglu Yang, Arturo Nakasone, Adam Jatowt, and Mitsuru Ishizuka,  
    Proc. of 7th IASTED International Conference Software Engineering and Applications (SEA'03), pp. 769-774, Marina del Rey, CA, Nov. 2003. [pdf]
    Best Paper Award

Journal Papers

1. Effective Algorithms for Sequential Pattern Mining,
   by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,  
   DBSJ Letters, Vol. 5, No. 1, pp. 53-56, Jun. 2006.[pdf]
   

Workshop Papers, Demos, and Technical Reports

1. Effective Sequential Pattern Mining Algorithms for Dense Database,
   by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,
   National Data Engineering WorkShop (DEWS'06), Japan, Mar. 2006.[pdf]
   Best Paper Award
   [Software]
2. LAPIN-SPAM: An Improved Algorithm for Mining Sequential Pattern,
   by Zhenglu Yang and Masaru Kitsuregawa,
   Proc. of Int'l Special Workshop on Databases For Next Generation Researchers (SWOD'05),
   in conjunction with ICDE, pp. 8-11, Japan, Apr. 2005.[pdf]
   [Software]
3. Effective Mining Sequential Pattern by Last Position Induction,
   by Zhenglu Yang and Masaru Kitsuregawa,
   National Data Engineering WorkShop (DEWS'05), Japan, Mar. 2005.[pdf]
4. ParCube: A Partial Order Model Based Data Cube for General Dominant Relationship Analysis,
   by Zhenglu Yang, Botao Wang, and Masaru Kitsuregawa,
   Technical Report, Info. and Comm. Eng. Dept., University of Tokyo, Oct. 2006.
   
5. LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction,
   by Zhenglu Yang, Yitong Wang, and Masaru Kitsuregawa,
   Technical Report, Info. and Comm. Eng. Dept., University of Tokyo, Jun. 2005.