Wentao Ding
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wentao Ding has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Yuzhong Qu
State Key Laboratory for Novel Software Technology Nanjing University China
2 shared publications Jianhao Chen
1 shared publicationJianze Li
1 shared publicationJinmao Li
1 shared publication- Jinmao Li
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
1 shared publication - Liangchuan Luo
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
1 shared publication
Latest Publications
- Open Access
- 13 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 2106-2115
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
- 13 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 2106-2115
Open AccessEnhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
- 2 August 2023
- Published by Elsevier in Knowledge-Based Systems
- Vol. 278
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser
- 2 August 2023
- Published by Elsevier in Knowledge-Based Systems
- Vol. 278
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser
- Open Access
Projectively and weakly simultaneously diagonalizable matrices and their applications
Characterizing simultaneously diagonalizable (SD) matrices has been receiving considerable attention in the recent decades due to its wide applications and its role in matrix analysis. However, the notion of SD matrices is arguably still restrictive for wider applications. In this paper, we consider two error measures related to the simultaneous diagonalization of matrices, and propose several new variants of SD thereof; in particular, TWSD, TWSD-B, T_{m,n}-SD (SDO), DWSD and D_{m,n}-SD (SDO). Those are all weaker forms of SD. We derive various sufficient and/or necessary conditions of them under different assumptions, and show the relationships between these new notions. Finally, we discuss the applications of these new notions in, e.g., quadratically constrained quadratic programming (QCQP) and independent component analysis (ICA).
Open AccessProjectively and weakly simultaneously diagonalizable matrices and their applications
Characterizing simultaneously diagonalizable (SD) matrices has been receiving considerable attention in the recent decades due to its wide applications and its role in matrix analysis. However, the notion of SD matrices is arguably still restrictive for wider applications. In this paper, we consider two error measures related to the simultaneous diagonalization of matrices, and propose several new variants of SD thereof; in particular, TWSD, TWSD-B, T_{m,n}-SD (SDO), DWSD and D_{m,n}-SD (SDO). Those are all weaker forms of SD. We derive various sufficient and/or necessary conditions of them under different assumptions, and show the relationships between these new notions. Finally, we discuss the applications of these new notions in, e.g., quadratically constrained quadratic programming (QCQP) and independent component analysis (ICA).