EDBT 2026 Demo / reviewers in the wild / expert
Tian-Shen Tang
dblp:92/6360
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 50% Integrated circuit design · 50% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design › analog and mixed-signal circuits
analog circuit design |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Integrated circuit design › analog and mixed-signal circuits › filter design
analog filter design |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Electronic design automation › design for manufacturability
design for yield |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Electronic design automation › design for manufacturability › design for yield
yield enhancement |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Mathematical optimization
gradient estimation |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Mathematical optimization › parametric optimization
perturbation analysis |
0.0 | 1 | 1988 | Yield optimization for nondifferentiable density functions using convolution techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1988 |
Methods — techniques the papers use, named apart from their topics
yield-gradient estimation · 0.0perturbation approach · 0.0convolution techniques · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing
M. A. Styblinski, Tian-Shen Tang |
Neural Networks | 2 |
| 1988 | Yield optimization for nondifferentiable density functions using convolution techniquesabstractA method of yield derivative estimation for nondifferentiable or truncated probability-density functions (PDFs) is proposed and applied to yield optimization. The method applies convolution techniques and is based on the recently introduced perturbation approach. It constructs some approximation to the original PDF and requires a small number of samples per yield-optimization-algorithm step. The method is efficient and provides fast convergence in the solution, especially for problems of high dimensionality. Several yield-gradient estimation formulas are given. Some theoretical and practical aspects of the proposed method are discussed. Practical applications are demonstrated on several analog filters, and the method is compared with some other existing methods.> Tian-Shen Tang, M. A. Styblinski |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 1 |