VLDB 2026 Research / reviewers in the wild / expert
Qingfeng Xia
dblp:91/10821
· DBLP profile ↗
5ranked-venue papers
1as first author
5since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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
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
error-correcting codes |
0.8 | 1 | 2024 | Function-Correcting Codes for Symbol-Pair Read Channels · IEEE Trans. Inf. Theory 2024 |
Coding theory › error-correcting codes
function-correcting codes |
0.8 | 1 | 2024 | Function-Correcting Codes for Symbol-Pair Read Channels · IEEE Trans. Inf. Theory 2024 |
Coding theory › source coding › universal coding
redundancy bounds |
0.8 | 1 | 2024 | Function-Correcting Codes for Symbol-Pair Read Channels · IEEE Trans. Inf. Theory 2024 |
Coding theory › error-correcting codes
symbol-pair read channels |
0.8 | 1 | 2024 | Function-Correcting Codes for Symbol-Pair Read Channels · IEEE Trans. Inf. Theory 2024 |
Methods — techniques the papers use, named apart from their topics
combinatorial construction · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Legendre-KAN: High Accuracy KA Network Based on Legendre Polynomials
Yanyi Liu, Qingfeng Xia |
ICPR (6) | 3 |
| 2025 | Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network
Qingfeng Xia |
ICIC (22) | 3 |
| 2024 | An overview: Attention mechanisms in multi-agent reinforcement learning
Kai Hu 0006, Keer Xu, Qingfeng Xia, Mingyang Li 0006, Zhiqiang Song |
Neurocomputing | 3 |
| 2024 | A review of research on reinforcement learning algorithms for multi-agents
Kai Hu 0006, Mingyang Li 0006, Zhiqiang Song, Keer Xu, Qingfeng Xia, Peng Zhou 0026, Min Xia 0002 |
Neurocomputing | 5 |
| 2024 | Function-Correcting Codes for Symbol-Pair Read ChannelsabstractFunction-correcting codes (FCCs) are a class of codes designed to protect the function evaluation of a message against errors whose key advantage is the reduced redundancy. In this paper, we develop the theory of FCCs over symbol-pair read channels. We introduce the notion of function-correcting symbol-pair codes (FCSPCs) and aim to find their optimal redundancy. To this end, we introduce the notion of irregular-pair-distance codes and derive upper and lower bounds on the optimal redundancy in terms of the shortest length of the irregular-pair-distance codes. We then simplify these bounds and employ these general results to specific functions including pair-locally binary functions, pair weight functions and pair weight distribution functions. In addition, we provide some general constructions for FCSPCs. Lastly, by comparison with classical symbol-pair codes, we find that the theory of FCSPCs developed in our paper really reduces the redundancy under the condition that the receiver can recover certain attribute of the message. Qingfeng Xia, Hongwei Liu 0003, Bocong Chen |
IEEE Trans. Inf. Theory | 1 |