Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Ruitong Ye

dblp:422/8914 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0007-9649-8059ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Computer networks · 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.

Network and information security
1 paper
Biometric security · 50% Authentication and access control · 50%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › earable sensing
earphone-based sensing
1.012026
Quick-Pass Continuous Authentication With Real-Time Biometrics Extraction on COTS Earphones Using Out-Ear Microphones · IEEE Trans. Mob. Comput. 2026
Authentication and access control
continuous authentication
1.012026
Quick-Pass Continuous Authentication With Real-Time Biometrics Extraction on COTS Earphones Using Out-Ear Microphones · IEEE Trans. Mob. Comput. 2026
Biometric security
ear biometrics
1.012026
Quick-Pass Continuous Authentication With Real-Time Biometrics Extraction on COTS Earphones Using Out-Ear Microphones · IEEE Trans. Mob. Comput. 2026

Methods — techniques the papers use, named apart from their topics

wake-up mechanism · 2.0ultrasonic modulation · 2.0
YearPublicationVenuePosition
2026 Quick-Pass Continuous Authentication With Real-Time Biometrics Extraction on COTS Earphones Using Out-Ear Microphones
abstract
Continuous authentication is increasingly critical for cyber security. However, existing approaches are time-consuming due to their simplistic signal modulation and low efficiency in feature extraction. In this paper, we propose a continuous authentication technique, OnePiece. OnePiece is free from the requirement of in-ear microphones, which are necessary for existing earphone authentication systems. It exploits out-ear microphones for biometrics extraction, which are ubiquitous on off-the-shelf earphones. We analyze the acoustic response model of ears towards out-ear microphones via the air, which is different from that towards in-ear microphones. A frequency-varying ultrasonic modulation scheme is proposed to characterize in-depth ear biometrics in user-friendly, error-free, and time-efficient ways. Therefore, OnePiece enables quick-pass authentication once users wear the earphones, followed by continuous authentication covering the whole course. Moreover, we propose a wake-up mechanism to reduce the consumed power, which addresses the key power consumption issue in ultrasonic sensing techniques. Particularly, OnePiece can be smoothly deployed on off-the-shelf wired and wireless earphones. It performs good cross-device performance in which users just register only once. Extensive evaluations are conducted to validate its effectiveness under real-world scenarios.
Ming Gao 0023, Jiatong Chen, Ruitong Ye, Yike Chen, Fu Xiao 0001, Jinsong Han
IEEE Trans. Mob. Comput.4
2025 GPowerT: LLM-Driven Automated Programming for Power-Constrained IoT Applications
Ruitong Ye
NPC (2)1