Jia-Chen Shen

dblp:77/205 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

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
2 papers
Storage systems · 100%
Theoretical computer science
2 papers
Coding theory · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › storage reliability
erasure coding
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005
Storage systems › storage reliability › erasure coding
MDS array codes
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005
Storage systems › storage reliability
RAID
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005
Storage systems
storage reliability
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005
Coding theory › error-correcting codes › block codes
array codes
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005
Coding theory › error-correcting codes › block codes
MDS codes
0.122005
New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures · IEEE Trans. Computers 2005
New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures · IEEE Trans. Computers 2005

Methods — techniques the papers use, named apart from their topics

circular permutation matrices · 0.2XOR operations · 0.2
YearPublicationVenuePosition
2026 Topic Evolution Analysis for Social Robots Based on Latent Dirichlet Allocation
abstract
ABSTRACT With the rapid growth of the robotics market, social robots have garnered increasing global attention. Investigating service innovation within the domain of social robots enables a better understanding of the field's developmental trajectory and emerging trends. Such insights can support enterprises and researchers in the development of innovative technologies and related applications. This study collected a total of 1406 abstracts related to social robots published over the past 15 years from the Web of Science journal database, which served as the primary research corpus. The thematic evolution of social robots was analysed from two perspectives: the evolution of thematic intensity and the evolution of thematic content. The findings are as follows: (1) In the early stages, research was predominantly focused on system technologies. As these technologies matured, they facilitated the diversification of research topics, leading to a relative decline in system technology research and a corresponding rise in studies from other domains. (2) The development of social robots has primarily followed three main trajectories: system technologies, research concerning children and research concerning the elderly. Subtopics such as healthcare, companionship, education, interaction and innovative applications in commercial services have evolved independently while also aligning with these major trajectories, resulting in a diversified research landscape.
Jia-Chen Shen, Wei-Feng Tung
Expert Syst. J. Knowl. Eng.1
2005 New Efficient MDS Array Codes for RAID Part I: Reed-Solomon-Like Codes for Tolerating Three Disk Failures
abstract
This paper presents a class of binary maximum distance separable (MDS) array codes for tolerating disk failures in redundant arrays of inexpensive disks (RAID) architecture based on circular permutation matrices. The size of the information part is m/spl times/n, the size of the parity-check part is m/spl times/3, and the minimum distance is 4, where n is the number of information disks, the number of parity-check disks is 3, and (m+1) is a prime integer. In practical applications, m can be very large and n is from 20 to 50. The code rate is R=n/(n+3). These codes can be used for tolerating three disk failures. The encoding and decoding of the Reed-Solomon-like codes are very fast. There need to be 3mn XOR operations for encoding and (3mn+9(m+1)) XOR operations for decoding.
Gui Liang Feng, Robert H. Deng, Feng Bao 0001, Jia-Chen Shen
IEEE Trans. Computers4
2005 New Efficient MDS Array Codes for RAID Part II: Rabin-Like Codes for Tolerating Multiple (greater than or equal to 4) Disk Failures
abstract
For pt.1 see ibid., vol.54, no.9, p.1071-1080 (2005). A new class of binary maximum distance separable (MDS) array codes which are based on circular permutation matrices are introduced in this paper. These array codes are used for tolerating multiple (/spl ges/ 4) disk failures in redundant arrays of inexpensive disks (RAID) architecture. The size of the information part is m /spl times/ n, where n is the number of information disks and (m + 1) is a prime integer; the size of the parity-check part is m /spl times/ r, the minimum distance is r + 1, and the number of parity-check disks is r. In practical applications, m can be very large and n ranges from 20 to 50. The code rate is R = n/(n+r). These codes can be used for tolerating up to r disk failures, with very fast encoding and decoding. The complexities of encoding and decoding algorithms are O(rmn) and O(m/sup 3/r/sup 4/), respectively. When r = 4, there need to be 9mn XOR operations for encoding and (9n + 95)(m + 1) XOR operations for decoding.
Gui Liang Feng, Robert H. Deng, Feng Bao 0001, Jia-Chen Shen
IEEE Trans. Computers4