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Jingsen Chen

dblp:79/450 · DBLP profile ↗
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20ranked-venue papers
5as first author
0since 2021 · last 2012
—ORCID · none

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

Theory of computation · 18 · 4 first-authorDatabases, data management, data science and information retrieval · 3Artificial intelligence and machine learning · 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.

Theoretical computer science
2 papers
Algorithms and data structures · 54% Coding theory · 23% Computational geometry · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › analysis of algorithms
data structure complexity
0.011992
The Complexity of Heaps · SODA 1992
Algorithms and data structures › priority queues
heap
0.011992
The Complexity of Heaps · SODA 1992
Computational geometry
partitioning
0.011991
On Partitions and Presortedness of Sequences · SODA 1991
Coding theory
sequences
0.011991
On Partitions and Presortedness of Sequences · SODA 1991

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

complexity analysis · 0.0
YearPublicationVenuePosition
2012 In-place Heap Construction with Optimized Comparisons, Moves, and Cache Misses
Jingsen Chen, Stefan Edelkamp, Amr Elmasry, Jyrki Katajainen
MFCS1
2007 Ranking k maximum sums
Fredrik Bengtsson, Jingsen Chen
Theor. Comput. Sci.2
2006 Computing Maximum-Scoring Segments in Almost Linear Time
Fredrik Bengtsson, Jingsen Chen
COCOON2
2006 Efficient Algorithms for k Maximum Sums
Fredrik Bengtsson, Jingsen Chen
Algorithmica2
2004 Space-Efficient Range-Sum Queries in OLAP
Fredrik Bengtsson, Jingsen Chen
DaWaK2
2004 Efficient Algorithms for k Maximum Sums
Fredrik Bengtsson, Jingsen Chen
ISAAC2
1996 Heaps with Bits
Svante Carlsson, Jingsen Chen, Christer Mattsson
Theor. Comput. Sci.2
1995 Searching Rigid Data Structures (Extended Abstract)
Svante Carlsson, Jingsen Chen
COCOON2
1995 Heap Construction: Optimal in Both Worst and Average Cases?
Svante Carlsson, Jingsen Chen
ISAAC2
1995 An Efficient Construction Algorithm for a Class of Implicit Double-Ended Priority Queues
abstract
Priority queues and double-ended priority queues are fundamental data types in Computer Science, and various data structures have been proposed to implement them. In particular, diamond deques, interval heaps, min-max-pair heaps, and twin-heaps provide implicit structures for double-ended priority queues. Although these heap-like structures are essentially the same when they are presented in an abstract manner, they possess different implementations and thus have different construction algorithms. In this paper, we present a fast algorithm for building these data structures. Our results improve over previously fast known algorithms.
Jingsen Chen
Comput. J.1
1994 Some Lower Bounds for Comparison-Based Algorithms
Svante Carlsson, Jingsen Chen
ESA2
1994 Heaps with Bits
Svante Carlsson, Jingsen Chen, Christer Mattsson
ISAAC2
1994 Average Cost to Produce Partial Orders
Jingsen Chen
ISAAC1
1993 A Framework for Constructing Heap-Like Structures In-Place
Jingsen Chen
ISAAC1
1992 Parallel Complexity of Heaps and Min-Max Heaps
Svante Carlsson, Jingsen Chen
LATIN2
1992 The Complexity of Heaps
Svante Carlsson, Jingsen Chen
SODA2
1992 On Partitions and Presortedness of Sequences
Svante Carlsson, Jingsen Chen
Acta Informatica2
1991 On Partitions and Presortedness of Sequences
Jingsen Chen, Svante Carlsson
SODA1
1991 An Optimal Parallel Adaptive Sorting Algorithm
Svante Carlsson, Jingsen Chen
Inf. Process. Lett.2
1989 A Note on the Construction of Data Structure "DEAP"
Svante Carlsson, Jingsen Chen, Thomas Strothotte
Inf. Process. Lett.2