2007 |
14 | EE | Linyun Fu,
Haofen Wang,
Haiping Zhu,
Huajie Zhang,
Yang Wang,
Yong Yu:
Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring.
ISWC/ASWC 2007: 128-141 |
13 | EE | Gang Wang,
Huajie Zhang,
Haofen Wang,
Yong Yu:
Enhancing Relation Extraction by Eliciting Selectional Constraint Features from Wikipedia.
NLDB 2007: 329-340 |
12 | EE | Huajie Zhang,
Linyun Fu,
Haofen Wang,
Haiping Zhu,
Yang Wang,
Yong Yu:
EachWiki: Suggest to Be an Easy-To-Edit Wiki Interface for Everyone.
Semantic Web Challenge 2007 |
2006 |
11 | EE | Haiping Zhu,
Huajie Zhang,
Yong Yu:
Deep into Color Names: Matching Color Descriptions by Their Fuzzy Semantics.
AIMSA 2006: 138-149 |
10 | EE | Haiping Zhu,
Huajie Zhang,
Yong Yu:
Deeper Semantics Goes a Long Way: Fuzzified Representation and Matching of Color Descriptions for Online Clothing Search.
WISE 2006: 423-435 |
2002 |
9 | | Huajie Zhang,
Charles X. Ling:
Representational Upper Bounds of Bayesian Networks.
ICML 2002: 674-681 |
8 | EE | Charles X. Ling,
Huajie Zhang:
Toward Bayesian Classifiers with Accurate Probabilities.
PAKDD 2002: 123-134 |
7 | EE | Charles X. Ling,
Jianfeng Gao,
Huajie Zhang,
Weining Qian,
HongJiang Zhang:
Improving Encarta Search Engine Performance by Mining User Logs.
IJPRAI 16(8): 1101-1116 (2002) |
6 | EE | Charles X. Ling,
Huajie Zhang:
The Representational Power of Discrete Bayesian Networks.
Journal of Machine Learning Research 3: 709-721 (2002) |
2001 |
5 | EE | Huajie Zhang,
Charles X. Ling:
Geometric Properties of Naive Bayes in Nominal Domains.
ECML 2001: 588-599 |
4 | EE | Charles X. Ling,
Jianfeng Gao,
Huajie Zhang,
Weining Qian,
HongJiang Zhang:
Mining Generalized Query Patterns from Web Logs.
HICSS 2001 |
3 | | Huajie Zhang,
Charles X. Ling:
Learnability of Augmented Naive Bayes in Nonimal Domains.
ICML 2001: 617-623 |
2 | EE | Huajie Zhang,
Charles X. Ling:
An Improved Learning Algorithm for Augmented Naive Bayes.
PAKDD 2001: 581-586 |
2000 |
1 | EE | Huajie Zhang,
Charles X. Ling,
Zhiduo Zhao:
The Learnability of Naive Bayes.
Canadian Conference on AI 2000: 432-441 |