| 2008 |
| 15 | EE | Fan Li,
Fan Min,
Qihe Liu:
Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm.
RSKT 2008: 316-323 |
| 14 | EE | Fan Li,
Shijin Dai,
Qihe Liu,
Guowei Yang:
New Inter-Cluster Proximity Index for Fuzzy c-Means Clustering.
IEICE Transactions 91-D(2): 363-366 (2008) |
| 2007 |
| 13 | EE | Pinghui Yan,
Xu Zhang,
Fan Li:
Research of Spatial Data Discovery Technology on Digital Forestry platform.
GCC 2007: 636-641 |
| 12 | EE | Yi Wang,
Fan Li,
Jiguang Song:
Open Source Communities in China (Mainland): An Overview.
HCI (15) 2007: 465-474 |
| 11 | EE | Fan Li,
Liyan Wang,
Jianhui Zhao:
Research on Error Compensation for Oil Drilling Angle Based on ANFIS.
ICIC (2) 2007: 730-737 |
| 2006 |
| 10 | EE | Yu Wang,
Fan Li,
Teresa A. Dahlberg:
Power Efficient 3-Dimensional Topology Control for Ad Hoc and Sensor Networks.
GLOBECOM 2006 |
| 2005 |
| 9 | | Fan Li,
Yiming Yang:
Using Modified Lasso Regression to Learn Large Undirected Graphs in a Probabilistic Framework.
AAAI 2005: 801-806 |
| 8 | EE | Fan Li,
Qihe Liu,
Fan Min,
Guo-Wei Yang:
A New Adaptive Crossover Operator for the Preservation of Useful Schemata.
ICMLC 2005: 507-516 |
| 7 | EE | Fan Li,
Yiming Yang,
Eric Xing:
From Lasso regression to Feature vector machine.
NIPS 2005 |
| 6 | EE | Fan Li,
Yiming Yang:
Using recursive classification to discover predictive features.
SAC 2005: 1054-1058 |
| 5 | EE | Fan Li,
Yiming Yang:
Analysis of recursive feature elimination methods.
SIGIR 2005: 633-634 |
| 4 | EE | Fan Li,
Yiming Yang:
Analysis of recursive gene selection approaches from microarray data.
Bioinformatics 21(19): 3741-3747 (2005) |
| 2004 |
| 3 | EE | David D. Lewis,
Yiming Yang,
Tony G. Rose,
Fan Li:
RCV1: A New Benchmark Collection for Text Categorization Research.
Journal of Machine Learning Research 5: 361-397 (2004) |
| 2003 |
| 2 | | Fan Li,
Yiming Yang:
A Loss Function Analysis for Classification Methods in Text Categorization.
ICML 2003: 472-479 |
| 2001 |
| 1 | EE | Songfeng Lu,
Heping Hu,
Fan Li:
Mining weighted association rules.
Intell. Data Anal. 5(3): 211-225 (2001) |