Demo Data from VLDB 2026 / reviewers in the wild / expert
Ka Pun Hau
dblp:42/6446
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory 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 |
Coding theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding › multiterminal source coding
multilevel diversity coding |
0.0 | 1 | 1997 | Symmetrical multilevel diversity coding · IEEE Trans. Inf. Theory 1997 |
Coding theory
network coding |
0.0 | 1 | 1997 | Symmetrical multilevel diversity coding · IEEE Trans. Inf. Theory 1997 |
Coding theory › channel coding
superposition coding |
0.0 | 1 | 1997 | Symmetrical multilevel diversity coding · IEEE Trans. Inf. Theory 1997 |
Coding theory › multiuser coding
coding rate region |
0.0 | 1 | 1997 | Symmetrical multilevel diversity coding · IEEE Trans. Inf. Theory 1997 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Symmetrical multilevel diversity codingabstractMultilevel diversity coding was introduced in recent work by Roche (1992) and Yeung (1995). In a multilevel diversity coding system, an information source is encoded by a number of encoders. There is a set of decoders, partitioned into multiple levels, with each decoder having access to a certain subset of the encoders. The reconstructions of the source by decoders within the same level are identical and are subject to the same distortion criterion. Inspired by applications in computer communication and fault-tolerant data retrieval, we study a multilevel diversity coding problem with three levels for which the connectivity between the encoders and decoders is symmetrical. We obtain a single-letter characterization of the coding rate region and show that coding by superposition is optimal for this problem. Generalizing to a symmetrical problem with an arbitrary number of levels, we derive a tight lower bound on the coding rate sum. James R. Roche, Raymond W. Yeung, Ka Pun Hau |
IEEE Trans. Inf. Theory | 3 |