Demo Data from SIGIR 2026 / reviewers in the wild / expert
Lixiang Shen
dblp:08/2018
· DBLP profile ↗
9ranked-venue papers
5as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 2 first-author · 1 since 2021Security and privacy · 2 · 2 first-author · 1 since 2021Databases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data mining · 67% Data integration and cleaning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › data preprocessing
discretization |
0.0 | 1 | 2002 | A Modified Chi2 Algorithm for Discretization · IEEE Trans. Knowl. Data Eng. 2002 |
Data mining › dimensionality reduction › feature selection
discretization-based feature selection |
0.0 | 1 | 2002 | A Modified Chi2 Algorithm for Discretization · IEEE Trans. Knowl. Data Eng. 2002 |
Data mining › dimensionality reduction
feature selection |
0.0 | 1 | 2002 | A Modified Chi2 Algorithm for Discretization · IEEE Trans. Knowl. Data Eng. 2002 |
Methods — techniques the papers use, named apart from their topics
chi-square merging · 0.0c4.5 · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | An integrated multi-criterion evaluation framework with picture fuzzy sets and its application to evaluating online course teaching quality
Guo Cao, Lixiang Shen, Suzhen Cao |
Eng. Appl. Artif. Intell. | 3 |
| 2021 | Accelerating hardware security verification and vulnerability detection through state space reduction
Lixiang Shen, Guo Cao, Maoyuan Qin, Wei Hu 0008 |
Comput. Secur. | 1 |
| 2018 | Symbolic execution based test-patterns generation algorithm for hardware Trojan detection
Lixiang Shen, Guo Cao, Maoyuan Qin, Jeremy Blackstone, Ryan Kastner |
Comput. Secur. | 1 |
| 2006 | Topic Detection Using MFSs
Ivan Yap, Han Tong Loh, Lixiang Shen, Ying Liu 0004 |
IEA/AIE | 3 |
| 2004 | Applying rough sets to market timing decisions
Lixiang Shen, Han Tong Loh |
Decis. Support Syst. | 1 |
| 2003 | A Machine Learning Approach for the Curation of Biomedical Literature
David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong |
ECIR | 4 |
| 2002 | A Modified Chi2 Algorithm for DiscretizationabstractSince the ChiMerge algorithm was first proposed by Kerber (1992), it has become a widely used and discussed discretization method. The Chi2 algorithm is a modification to the ChiMerge method. It automates the discretization process by introducing an inconsistency rate as the stopping criterion and it automatically selects the significance value. In addition, it adds a finer phase aimed at feature selection to broaden the applications of the ChiMerge algorithm. However, the Chi2 algorithm does not consider the inaccuracy inherent in ChiMerge's merging criterion. The user-defined inconsistency rate also brings about inaccuracy to the discretization process. These two drawbacks are first discussed in this paper and modifications to overcome them are then proposed. By comparison, results with the original Chi2 algorithm using C4.5, the modified Chi2 algorithm, performs better than the original Chi2 algorithm. It becomes a completely automatic discretization method. Francis E. H. Tay, Lixiang Shen |
IEEE Trans. Knowl. Data Eng. | 2 |
| 2001 | A discretization method for rough sets theory
Lixiang Shen, Francis E. H. Tay |
Intell. Data Anal. | 1 |
| 2000 | Classifying Market States with WARS
Lixiang Shen, Francis E. H. Tay |
IDEAL | 1 |