VLDB 2026 Research / reviewers in the wild / expert
Shima Kheradmand
dblp:36/11406
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2024
0009-0009-7964-0409ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 1 first-authorComputer networks · 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.
| Theoretical computer science
3 papers |
Coding theory · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
source coding |
1.1 | 3 | 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLC · IEEE Trans. Commun. 2024 The Redundancy of an Optimal Binary Fix-Free Code Is Not Greater Than 1 bit · IEEE Trans. Inf. Theory 2015 Some Upper Bounds on the Redundancy of Optimal Binary Fix-Free Codes · IEEE Trans. Inf. Theory 2012 |
Coding theory › source coding › universal coding
redundancy bounds |
1.0 | 2 | 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLC · IEEE Trans. Commun. 2024 The Redundancy of an Optimal Binary Fix-Free Code Is Not Greater Than 1 bit · IEEE Trans. Inf. Theory 2015 |
Coding theory › source coding › variable-length codes
reversible variable-length codes |
0.8 | 1 | 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLC · IEEE Trans. Commun. 2024 |
Coding theory › source coding
variable-length codes |
0.8 | 1 | 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLC · IEEE Trans. Commun. 2024 |
Coding theory › error-correcting codes › uniquely decodable codes
fix-free codes |
0.4 | 2 | 2015 | The Redundancy of an Optimal Binary Fix-Free Code Is Not Greater Than 1 bit · IEEE Trans. Inf. Theory 2015 Some Upper Bounds on the Redundancy of Optimal Binary Fix-Free Codes · IEEE Trans. Inf. Theory 2012 |
Coding theory › source coding › variable-length codes › prefix codes
huffman coding |
0.2 | 1 | 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLC · IEEE Trans. Commun. 2024 |
Methods — techniques the papers use, named apart from their topics
upper bound derivation · 0.8asymptotic analysis · 0.8sufficient conditions for fix-free codes · 0.23/4-conjecture · 0.2kraft-sum analysis · 0.1huffman coding · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Improved Upper Bounds on the Average Redundancy of Optimal RVLCabstractIt is shown that efficient reversible variable length codes (RVLCs) with numerous codewords can be obtained if suboptimal RVLCs for the average distributions of monotone sources with relatively small alphabet sizes are multiplied by some fixed-length codes. Employing these RVLCs, the best known upper bounds on the average redundancy of optimal RVLC are almost halved. In particular, it is proved that the average redundancy of optimal RVLC for sources withnsymbols is less than 11/n+0.11345 bits forn> 32. Some other upper bounds are also derived which are either suboptimal in some sense for smallnor easily computable for largenor descriptive of asymptotic behavior. Moreover, we prove that the penalty of using optimal RVLC instead of Huffman code is less than 0.0848 bits for almost all sources with sufficiently large alphabet size. These results provide stronger evidence that, overall, the cost of benefiting from the desired properties of RVLC is not significant in terms of the redundancy. Shima Kheradmand, Mohammadali Khosravifard, Sayed Jalal Zahabi, Hamed Narimani |
IEEE Trans. Commun. | 1 |
| 2015 | The Redundancy of an Optimal Binary Fix-Free Code Is Not Greater Than 1 bitabstractIn the context of fix-free codes, the most important and immediate consequence of the 3/4-conjecture (if it is proven), is that the redundancy of an optimal binary fix-free code never exceeds 1 bit, as with the optimal prefix-free codes, i.e. Huffman codes. In this paper, this bound on the redundancy is proven without requiring the conjecture to be true. To do so, we use two known sufficient conditions for the existence of binary fix-free codes to derive an improved upper bound on the redundancy of an optimal fix-free code in terms of the largest symbol probability. Shima Kheradmand, Mohammadali Khosravifard, T. Aaron Gulliver |
IEEE Trans. Inf. Theory | 1 |
| 2012 | Some Upper Bounds on the Redundancy of Optimal Binary Fix-Free CodesabstractIn order to investigate the cost of employing fix-free codes instead of the well-established prefix-free codes, some upper bounds on the redundancy of the optimal fix-free codes and their difference with the corresponding Huffman codes are presented. Unlike the conventional approach, which is based on some Shannon-like suboptimal codes, we examine the redundancy of a better Huffman-like code. An algorithm is proposed for deriving optimal binary codeword lengths with Kraft-sum [5/8] for a given probability distribution. The existence of a fix-free code with such codelengths is guaranteed by Yekhanin's theorem. It is shown that the redundancy of this fix-free code is, at most, 0.8 bit greater than that of the Huffman code and does not exceed [8/3]-log3 ≅ 1.0817 bits. This upper bound is [4/3]-log[5/3] ≅0.5964 bit less than the best known one. If the [3/4]-conjecture is proved sometime in the future, the presented upper bound on the redundancy of the optimal fix-free codes (i.e., 1.0817) will be improved by only [5/3]-log3 ≅ 0.0817 . In addition to these general bounds, all known upper bounds in terms of the largest, the smallest, and an arbitrary given symbol probability are substantially improved. Mohammadali Khosravifard, Shima Kheradmand |
IEEE Trans. Inf. Theory | 2 |