Demo Data from EDBT 2026 / reviewers in the wild / expert
Janghyun Kim
dblp:218/7332
· DBLP profile ↗
5ranked-venue papers
2as first author
3since 2021 · last 2026
0009-0001-3525-062XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Computer networks · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 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.
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% | |
| Artificial intelligence
1 paper |
Vision and language · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval
multi-label classification |
0.9 | 1 | 2025 | BAC-GCN: Background-Aware CLIP-GCN Framework for Unsupervised Multi-Label Classification · ACM Multimedia 2025 |
Computer vision › Vision and language › vision-language model
CLIP-based classification |
0.3 | 1 | 2025 | BAC-GCN: Background-Aware CLIP-GCN Framework for Unsupervised Multi-Label Classification · ACM Multimedia 2025 |
Computer vision › Vision and language
vision-language model |
0.3 | 1 | 2025 | BAC-GCN: Background-Aware CLIP-GCN Framework for Unsupervised Multi-Label Classification · ACM Multimedia 2025 |
Methods — techniques the papers use, named apart from their topics
graph convolutional network · 1.7background-aware framework · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | AT-adapter: Leveraging attribute knowledge of CLIP for few-shot classification
Yonghyeon Jo, Janghyun Kim, Chanill Park, Seonghoon Choi, Jinsun Park |
Neurocomputing | 2 |
| 2025 | BAC-GCN: Background-Aware CLIP-GCN Framework for Unsupervised Multi-Label Classification
Yonghyeon Jo, Janghyun Kim, Jinsun Park |
ACM Multimedia | 2 |
| 2024 | Exploiting Cross-Modal Cost Volume for Multi-sensor Depth Estimation
Janghyun Kim, Ukcheol Shin, Seokyong Heo, Jinsun Park |
ACCV (9) | 1 |
| 2018 | Low Complexity Pilot Allocation Scheme for a Large OFDM Block with Null SubcarriersabstractA low complexity pilot allocation scheme is proposed for a large OFDM block with null subcarriers. The proposed scheme allocates pilots to the edge part of the active subcarrier region according to the 2nd order polynomial and to the middle part of the active subcarrier region according to the 1st order polynomial or the comb‐type pilot pattern. To find a parameter of the 2nd order polynomial, the proposed scheme applies exhaustive search of a single parameter by using an integer unit resolution. It is shown by simulation that the proposed scheme is a close‐to‐optimal pilot allocation scheme yielding better symbol error rate (SER) performance than the traditional 3rd and 5th order polynomial‐based schemes although the proposed scheme has lower computation and implementation complexity. Janghyun Kim, Unil Yun, Duckdong Hwang, Eunchul Yoon |
Wirel. Commun. Mob. Comput. | 1 |
| 2018 | Blind Selected Mapping with Side Information Estimation Based on the Received Pilot SignalabstractBlind selected mapping (BSLM) is a technique to reduce the peak to average power ratio (PAPR) of OFDM by using a set of scrambling sequences. Since the side information (SI) on the scrambling sequence selected by the transmitter is not directly sent to the receiver in BSLM, the SI needs to be estimated by the receiver. In this paper, a BSLM scheme that applies a new SI estimation approach is proposed. The proposed BSLM scheme estimates the SI by selecting the minimum of the candidate metrics that are computed with the received pilot signal, the pilot symbol sequence, and the scrambling sequences. It is shown by simulation that the proposed BSLM scheme yields better SI error rate (SIER) and bit error rate (BER) performance and lower implementation complexity than four traditional BSLM schemes. Eunchul Yoon, Duckdong Hwang, Chanki Jang, Janghyun Kim, Unil Yun |
Wirel. Commun. Mob. Comput. | 4 |