2009 |
14 | EE | Guanggang Geng,
Qiudan Li,
Xinchang Zhang:
Link based small sample learning for web spam detection.
WWW 2009: 1185-1186 |
2008 |
13 | EE | Guanggang Geng,
Chun-Heng Wang,
Qiudan Li:
Improving Spamdexing Detection Via a Two-Stage Classification Strategy.
AIRS 2008: 356-364 |
12 | EE | Qingliang Miao,
Qiudan Li,
Ruwei Dai:
An integration strategy for mining product features and opinions.
CIKM 2008: 1369-1370 |
11 | EE | Qingliang Miao,
Qiudan Li:
An opinion search system for consumer products.
IJCNN 2008: 1433-1439 |
10 | EE | Jingchao Zhou,
Baihua Xiao,
Qiudan Li:
A no reference image quality assessment method for JPEG2000.
IJCNN 2008: 863-868 |
9 | EE | Guanggang Geng,
Chunheng Wang,
Qiudan Li:
Improving web spam detection with re-extracted features.
WWW 2008: 1119-1120 |
8 | EE | Qiudan Li,
Chunheng Wang,
Guanggang Geng:
Improving personalized services in mobile commerce by a novel multicriteria rating approach.
WWW 2008: 1235-1236 |
7 | EE | Qingliang Miao,
Qiudan Li,
Ruwei Dai:
A Unified Framework for Opinion Retrieval.
Web Intelligence 2008: 739-742 |
2007 |
6 | EE | Guanggang Geng,
Chun-Heng Wang,
Qiudan Li,
Yuan-Ping Zhu:
Fighting Link Spam with a Two-Stage Ranking Strategy.
ECIR 2007: 699-702 |
5 | EE | Guanggang Geng,
Chun-Heng Wang,
Qiudan Li,
Lei Xu,
Xiao-Bo Jin:
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification.
FSKD (4) 2007: 583-587 |
4 | EE | Qiudan Li,
Chunheng Wang,
Guanggang Geng,
Ruwei Dai:
A Concept Lattice-Based Kernel Method for Mining Knowledge in an M-Commerce System.
ISNN (1) 2007: 1280-1285 |
3 | EE | Qiudan Li,
Yaodong Li,
Huiguang He,
Guanggang Geng,
Yuanping Zhu,
Chunheng Wang:
Providing Personalized Services for HWME System by Item-Based Collaborative Filtering.
PAISI 2007: 314-315 |
2 | EE | Qiudan Li,
Chunheng Wang,
Guanggang Geng,
Ruwei Dai:
A novel collaborative filtering-based framework for personalized services in m-commerce.
WWW 2007: 1251-1252 |
2006 |
1 | EE | Qiudan Li,
Stephen Shaoyi Liao,
Dandan Li:
A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data.
FSKD 2006: 1217-1220 |