Demo Data from EDBT 2026 / reviewers in the wild / expert
Tung-Yang Ho
dblp:88/48
· DBLP profile ↗
7ranked-venue papers
3as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 2 first-authorTheory of computation · 3 · 1 first-authorSystems, architecture and hardware · 1Computer networks · 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 |
Hardware reliability and fault tolerance · 87% Interconnection networks and networks-on-chip · 13% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › network fault tolerance
edge fault tolerance |
0.0 | 1 | 1997 | Multiple-Edge-Fault Tolerance with Respect to Hypercubes · IEEE Trans. Parallel Distributed Syst. 1997 |
Hardware reliability and fault tolerance › network fault tolerance
fault-tolerant interconnection network |
0.0 | 1 | 1997 | Multiple-Edge-Fault Tolerance with Respect to Hypercubes · IEEE Trans. Parallel Distributed Syst. 1997 |
Graph algorithms and graph theory › graph classes
hypercube |
0.0 | 1 | 1997 | Multiple-Edge-Fault Tolerance with Respect to Hypercubes · IEEE Trans. Parallel Distributed Syst. 1997 |
Interconnection networks and networks-on-chip
hypercube network |
0.0 | 1 | 1997 | Multiple-Edge-Fault Tolerance with Respect to Hypercubes · IEEE Trans. Parallel Distributed Syst. 1997 |
Methods — techniques the papers use, named apart from their topics
graph construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Cycles in cube-connected cycles graphs
Lih-Hsing Hsu, Tung-Yang Ho, Yen-Hsun Ho, Chey-Woei Tsay |
Discret. Appl. Math. | 2 |
| 2014 | Fault-tolerant hamiltonian connectivity of the WK-recursive networks
Tung-Yang Ho, Cheng-Kuan Lin, Jimmy Jiann-Mean Tan, Lih-Hsing Hsu |
Inf. Sci. | 1 |
| 2009 | Conditional fault hamiltonian connectivity of the complete graph
Tung-Yang Ho, Yuan-Kang Shih, Jimmy Jiann-Mean Tan, Lih-Hsing Hsu |
Inf. Process. Lett. | 1 |
| 2008 | Diameter variability of cycles and tori
Jeng-Jung Wang, Tung-Yang Ho, Daniela Ferrero, Ting-Yi Sung |
Inf. Sci. | 2 |
| 1997 | Projective Torus Networks
Ting-Yi Sung, Tung-Yang Ho, Lih-Hsing Hsu |
COCOON | 2 |
| 1997 | Multiple-Edge-Fault Tolerance with Respect to HypercubesabstractPrevious works on edge-fault tolerance with respect to hypercubes Q/sub n/ are mainly focused on 1-edge fault and 2- or 3-edge fault with limited size of n. We give a construction scheme for 2-EFT(Q/sub n/) graphs and 3-EFT(Q/sub n/) graphs, where n is arbitrarily large. In our constructions, approximately log n extra degree is added to the vertices of Q/sub n/ for 2-edge-fault tolerance, and one more degree for 3-edge-fault tolerance. Ting-Yi Sung, Men-Yang Lin, Tung-Yang Ho |
IEEE Trans. Parallel Distributed Syst. | 3 |
| 1996 | Transmitting on various network topologiesabstractArchitectures for interconnection networks can be represented by graphs, while vertices represent processors and edges represent communication links between processors. We use the terms vertices and processors interchangeably. Let G = (V, E) be a graph representing the topology for an interconnection network. Let v0 be a special vertex outside G, called the host processor, which is connected to each vertex in G. The host processor is the sender or source of the message to be transmitted to all of the vertices in G. In each time unit, the host processor may send an identical message to an arbitrary vertex in G or remain idle. At the same time, each processor in G that has already received the message can send it to all its neighbors in one time unit. A transmitting scheme allowing all processors to receive the message in t time units and requiring the host processor to send the message s times is called a (t, s)-transmitting scheme, where t ≥ s. We call t the transmitting time, and s, the workload of the host processor. We aimed to find an optimal transmitting scheme, i.e., a transmitting scheme such that t is minimized while s is also minimized. In this paper, we present optimal transmitting schemes for linear arrays, rings, complete binary trees, star trees, and (directed) de Bruijn graphs. Furthermore, we present a (t, s)-transmitting scheme for diagonal meshes which are defined slightly different from meshes, and the ratio of t to the optimal transmitting time is approximate to 1.1. © 1996 John Wiley & Sons, Inc. Tung-Yang Ho, Lih-Hsing Hsu, Ting-Yi Sung |
Networks | 1 |