Demo Data from EDBT 2026 / reviewers in the wild / expert
Fengdan Hu
dblp:260/4553
· DBLP profile ↗
5ranked-venue papers
0as first author
3since 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 2021Computer networks · 1Applied, interdisciplinary, general and emerging computing · 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.
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › wireless sensor network › coverage and connectivity
barrier coverage |
0.4 | 1 | 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic Detection · IEEE Trans. Mob. Comput. 2020 |
Internet of things and sensor networks › wireless sensor network
directional sensor networks |
0.4 | 1 | 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic Detection · IEEE Trans. Mob. Comput. 2020 |
Internet of things and sensor networks
probabilistic detection |
0.4 | 1 | 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic Detection · IEEE Trans. Mob. Comput. 2020 |
Internet of things and sensor networks
sensing coverage |
0.4 | 1 | 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic Detection · IEEE Trans. Mob. Comput. 2020 |
Internet of things and sensor networks › wireless sensor network
sensor scheduling |
0.1 | 1 | 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic Detection · IEEE Trans. Mob. Comput. 2020 |
Methods — techniques the papers use, named apart from their topics
zooming sensing range · 0.4probabilistic detection model · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | GLF-Net: A quasi-periodic prior-guided waveform segmentation network for ECG delineation
Zhenqin Chen, Yiwei Lin, Yuying Bao, Fengdan Hu, Jinshan Xu |
Artif. Intell. Medicine | 4 |
| 2026 | FM-FECG: An observation-informed flow matching framework for non-invasive fetal ECG extraction
Zhenqin Chen, Yiwei Lin, Fengdan Hu, Jinshan Xu |
Expert Syst. Appl. | 3 |
| 2026 | Safe multi-agent reinforcement learning framework for coordinated control in multi-robot systems
Hanjie Gu, Fengdan Hu, Fengjun Hu 0001, Ghulam Abbas 0003, Ezzeddine Touti |
Expert Syst. Appl. | 3 |
| 2020 | Deploy Efficiency Driven k-Barrier Construction Scheme Based on Target Circle in Directional Sensor Network
Xinggang Fan, Zhi-Cong Che, Fengdan Hu, Tao Liu 0031, Jinshan Xu, Xiaolong Zhou 0001 |
J. Comput. Sci. Technol. | 3 |
| 2020 | Cost Effective Directional Barrier Construction Based on Zooming and United Probabilistic DetectionabstractBarrier coverage problem is one of hot research topics in directional sensor networks (DSNs). Directional sensors could zoom their sensing ranges, within which the event detection probability decreases with the increase of the distance between the location of event and the sensor. Although the probability that an event is detected by a single sensor may be below the required criteria, the detection probability achieved jointly by two sensors can be above the required criteria. In this work, we study the barrier coverage problem of DSNs, taking into account the directional nodes' ability of adjusting their working directions and sensing ranges. We mainly propose a barrier construction scheme, which schedules the nodes to form multiple barriers by jointly determining which nodes jointly forming a barrier, and their respective working directions and sensing ranges. Comparing to existing works, the proposed scheme is able to form more barriers, leading to the increase of service lifetime. Xinggang Fan, Fengdan Hu, Tao Liu 0031, Kaikai Chi, Jinshan Xu |
IEEE Trans. Mob. Comput. | 2 |