Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuechun Jiao
dblp:358/8918
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-8036-1062ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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 networks
2 papers |
Wireless sensing and localization · 75% Physical-layer communications · 18% Cellular and mobile networks · 7% | |
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization
angle estimation |
0.9 | 1 | 2025 | Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025 |
Wireless sensing and localization
RF sensing |
0.7 | 1 | 2023 | Quantum Wireless Sensing: Principle, Design and Implementation · MobiCom 2023 |
Physical-layer communications
antenna arrays |
0.3 | 1 | 2025 | Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025 |
Physical-layer communications
multiple-antenna systems |
0.3 | 1 | 2025 | Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025 |
Cellular and mobile networks
millimeter-wave communication |
0.2 | 1 | 2023 | Quantum Wireless Sensing: Principle, Design and Implementation · MobiCom 2023 |
Methods — techniques the papers use, named apart from their topics
virtual antenna generation · 1.7quantum receiver · 1.7quantum sensing · 0.7atomic energy levels · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation ConstraintsabstractBeyond communication, wireless signals have been extensively utilized for localization, tracking, and sensing in recent years. The key information extracted for these purposes includes distance and angle. While distance measurement accuracy is mainly limited by signal bandwidth, angle accuracy depends on the number of antennas and phase noise. Conventional approaches typically improve angle estimation by boosting signal strength and increasing the number of antennas. In this paper, we propose employing a quantum receiver to substantially improve angle estimation performance. Rather than amplifying signal strength, the quantum receiver reduces the inherent hardware noise. Furthermore, we exploit the unique properties of a quantum RF receiver to construct a multi-antenna quantum system. Using only two physical quantum antennas, we generate virtual antennas by leveraging the receiver's broad frequency range, effectively increasing the number of antennas and significantly improving angle measurement performance. Our experimental results demonstrate that, with only two quantum antennas, we achieve angle estimation performance surpassing that of a conventional RF receiver equipped with 40 antennas. Furthermore, quantum antennas are not constrained by the coupling effects that typically limit the spacing between conventional RF antennas, allowing for much closer placement. This represents a significant step toward reducing the size of antenna arrays while preserving localization and tracking performance. Zhaodian He, Fusang Zhang, Junqi Ma 0002, Yuqi Su, Beihong Jin, Daqing Zhang 0001, Yuechun Jiao, Lili Qiu, Jie Xiong 0001 |
MobiCom | 7 |
| 2023 | Quantum Wireless Sensing: Principle, Design and ImplementationabstractRecent years have witnessed a tremendous amount of interest in wireless sensing, i.e., instead of employing traditional sensors, wireless signal is utilized for sensing purposes. Contact-free wireless sensing has been successfully demonstrated using various RF signals such as WiFi, RFID, LoRa, and mmWave, enabling a large range of applications. However, limited by hardware thermal noise, the granularity of RF sensing is still relatively coarse. In this paper, instead of using the macro signal power/phase for sensing, we propose the first quantum wireless sensing system, which uses the micro energy level of atoms for sensing, improving the sensing granularity by an order of magnitude. The proposed quantum wireless sensing system is capable of utilizing a wide spectrum of frequencies (e.g., 2.4 GHz, 5 GHz and 28 GHz) for sensing. We demonstrate the superior performance of quantum wireless sensing with two widely-used signals, i.e., WiFi and 28 GHz millimeter wave. We show that quantum wireless sensing can push the sensing granularity of WiFi from millimeter level to sub-millimeter level and push the sensing granularity of millimeter wave to micrometer level. Fusang Zhang, Beihong Jin, Zitong Lan, Zhaoxin Chang 0001, Daqing Zhang 0001, Yuechun Jiao, Meng Shi, Jie Xiong 0001 |
MobiCom | 6 |