Demo Data from EDBT 2026 / reviewers in the wild / expert
Yao-Wen Liu
dblp:373/4423
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Human-computer interaction and ubiquitous 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.
| Computer networks
2 papers |
Wireless networking · 57% Cellular and mobile networks · 28% Content delivery and video streaming · 7% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › resource scheduling
OFDMA scheduling |
0.9 | 1 | 2025 | LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025 |
Wireless networking › scheduling › quality-of-service scheduling
delay-aware scheduling |
0.8 | 1 | 2024 | Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024 |
Wireless networking
WLAN |
0.8 | 1 | 2024 | Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024 |
Wireless networking › WLAN › IEEE 802.11 amendment
wi-fi 6 |
0.3 | 1 | 2025 | LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025 |
Content delivery and video streaming › immersive video streaming
virtual reality streaming |
0.2 | 1 | 2024 | Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024 |
Methods — techniques the papers use, named apart from their topics
priority queueing · 0.8linux wi-fi driver · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks
Yi-An Tai, Yao-Wen Liu, Ping-Kuan Kao, Ting-Yu Lee, Cheng-I Hu, Chi-Yu Li 0001 |
ICNP | 2 |
| 2024 | Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi NetworksabstractVirtual reality (VR) applications are increasingly popular. With high-quality video streams and interactive content, they require both low-latency and high-bandwidth performance demands on the communication from the edge-based VR server to the VR headsets. Although most VR headsets are equipped with dedicated wired or wireless modules connected to the VR server, using common Wi-Fi networks to support them can be a promising trend due to convenience and low cost. However, current Wi-Fi Access Points (APs) cannot meet latency demands of low-latency elephant VR flows, especially in traffic congestion cases. We thus design a practical Wi-Fi scheduling solution, designated as LAST-PQ (Latency-Aware Scheduler with Two-level Priority Queueing), to support VR flows at the Wi-Fi AP. It monitors the runtime latency performance of VR flows while prioritizing scheduling for urgent flows, whose latency demands are at risk of violation. We implement LAST-PQ in Linux on a commodity Wi-Fi platform using an open-source Wi-Fi driver; it is compliant to the current Wi-Fi scheduling framework. The evaluation result shows that it can reduce latency by up to 79.89% in various congested scenarios; moreover, it consistently meets the latency demands of VR flows in cases of mobility at runtime. Shao-Jung Lu, Wei-Xun Chen, Yu-Shao Su, Yu-Shou Chang, Yao-Wen Liu, Chi-Yu Li 0001, Guan-Hua Tu |
PerCom | 5 |