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Chia-Chi Yeh

dblp:61/5394 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorTheory of computation · 1

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
1 paper
Algorithms and data structures · 100%

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

TopicWeightPapersLastEvidence papers
Algorithms and data structures › space-efficient algorithms › succinct data structures › ordinal tree representation
balanced parentheses representation
0.112008
Balanced parentheses strike back · ACM Trans. Algorithms 2008
Algorithms and data structures › space-efficient algorithms › succinct data structures
ordinal tree representation
0.112008
Balanced parentheses strike back · ACM Trans. Algorithms 2008
Algorithms and data structures › space-efficient algorithms › succinct data structures
rank and select
0.112008
Balanced parentheses strike back · ACM Trans. Algorithms 2008
Algorithms and data structures › space-efficient algorithms
succinct data structures
0.112008
Balanced parentheses strike back · ACM Trans. Algorithms 2008

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

succinct encoding · 0.1
YearPublicationVenuePosition
2015 The Evaluation of Interface Elements and Game Elements in Serious Games: A Peer Assessment Approach
Chia-Chi Yeh, Hsun-Chu Chen, Jen-Hang Wang, Sherry Y. Chen
ICCE1
2012 Training My-Dragon: Using Educational Agents to Facilitate Student Learning
abstract
In this paper we develop a My-Dragon system, in which students not only learn Chinese idioms, but also train their pet dragons through learning by demonstration. More specifically, students need to demonstrate correct procedure and answers for their dragons so that their knowledge can be improved. By doing so, students not only can be engaged in a game-based learning context, but they are offered more opportunities to master their subject domains. This is a work-in-progress study and the current status and future work are described in this paper, too.
Zhi-Hong Chen, Chia-Chi Yeh
ICCE2
2008 Balanced parentheses strike back
abstract
An ordinal tree is an arbitrary rooted tree where the children of each node are ordered. Succinct representations for ordinal trees with efficient query support have been extensively studied. The best previously known result is due to Geary et al. [2004b, pages 1--10]. The number of bits required by their representation for an n -node ordinal tree T is 2 n + o ( n ), whose first-order term is information-theoretically optimal. Their representation supports a large set of O (1)-time queries on T . Based upon a balanced string of 2 n parentheses, we give an improved 2 n + o ( n )-bit representation for T . Our improvement is two-fold: First, the set of O (1)-time queries supported by our representation is a proper superset of that supported by the representation of Geary, Raman, and Raman. Second, it is also much easier for our representation to support new queries by simply adding new auxiliary strings.
Hsueh-I Lu, Chia-Chi Yeh
ACM Trans. Algorithms2