VLDB 2026 Research / reviewers in the wild / expert
Yu-Ying Hsiao
dblp:95/2525
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 2 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 |
Hardware reliability and fault tolerance · 67% Electronic design automation · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › memory repair
built-in self-repair |
0.1 | 1 | 2010 | Built-In Self-Repair Schemes for Flash Memories · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2010 |
Electronic design automation
hardware verification and test |
0.1 | 1 | 2010 | Built-In Self-Repair Schemes for Flash Memories · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2010 |
Hardware reliability and fault tolerance › redundancy
redundancy analysis |
0.1 | 1 | 2010 | Built-In Self-Repair Schemes for Flash Memories · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2010 |
Methods — techniques the papers use, named apart from their topics
on-chip repair · 0.1built-in self-test · 0.12-d redundancy architecture · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Built-In Self-Repair Schemes for Flash MemoriesabstractThe advancement of deep submicrometer Integrated circuit manufacturing technology has pushed the use of embedded memory, and the strong demand of embedded nonvolatile memory for system-on-chip and system in package applications has made flash memory increasingly important as well. Nevertheless, the yield loss of memory products caused by deep submicrometer defects and manufacturing uncertainties is still a critical issue. In order to solve the yield issue, built-in self-repair (BISR) has been considered as the most cost-effective solution. However, implementing BISR on flash memories is not trivial. In this paper, we propose BISR schemes for nor flash memory and NAND flash memory, respectively. The BISR schemes perform built-in self-test, built-in redundancy analysis, and on-chip repair. For the BISR scheme of nor flash memory, a typical redundancy architecture is assumed, based on which we analyze three existing algorithms and propose a redundancy analysis (RA) algorithm. On the other hand, for NAND flash memory, an RA algorithm based on an efficient 2-D redundancy architecture is proposed, and considering the widely used page-mode operation in NAND flash memory, a method to discover currently accessed address is also proposed. A simulation tool is also developed, supporting nor flash memory and NAND flash memory. The simulation results show that our approach can effectively repair defective memories. Yu-Ying Hsiao, Chao-Hsun Chen, Cheng-Wen Wu |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 1 |
| 2009 | An Adaptive-Rate Error Correction Scheme for NAND Flash MemoryabstractECC has been widely used to enhance flash memory endurance and reliability. In this work, we propose an adaptive-rate ECC scheme with BCH codes that is implemented on the flash memory controller. With this scheme, flash memory can trade storage space for higher error correction capability to keep it usable even when there is a high noise level. Te-Hsuan Chen, Yu-Ying Hsiao, Yu-Tsao Hsing, Cheng-Wen Wu |
VTS | 2 |
| 2006 | A Built-In Self-Repair Scheme for NOR-Type Flash MemoryabstractThe strong demand of non-volatile memory for SOC and SIP applications has made flash memory increasingly important. However, deep submicron defects and process uncertainties are causing yield loss of memory products. To solve the yield issue, built-in self-repair (BISR) is widely believed to be cost effective. It is, however, non-trivial to implement BISR on flash memories. In this paper we propose a BISR scheme for NOR-type flash memory. The BISR scheme performs built-in self-test (BIST), built-in redundancy analysis (BIRA), as well as on-chip repair. A typical redundancy architecture for NOR-type flash memory is assumed, based on which we present a redundancy analysis (RA) algorithm. Experimental result shows that the proposed BISR scheme can effectively repair most defective memories. Yu-Ying Hsiao, Chao-Hsun Chen, Cheng-Wen Wu |
VTS | 1 |