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. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Pengyue Yang

dblp:407/9594 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · conflict

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

Computer networks · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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.

Artificial intelligence
1 paper
Trustworthy machine learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › uncertainty estimation
confidence estimation
1.012026
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals · WWW 2026
Machine learning › Trustworthy machine learning
uncertainty estimation
0.312026
Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals · WWW 2026

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

structural signals · 1.0
YearPublicationVenuePosition
2026 Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals
Pengyue Yang, Jiawen Wen, Haolin Jin, Linghan Huang, Huaming Chen, Ling Chen 0006
WWW1
2025 Dual-Band Quad-Polarized Anti-Multipath Interference Antenna for IoT Indoor Backscatter Positioning
abstract
The cross-polarization backscatter positioning system based on the information-energy decoupling mechanism can achieve high gain and obstacle avoidance advantages while reducing the number of positioning antennas. A novel dual-band quad-polarized antenna design with in-band radar cross section (RCS) reduction using polarization conversion metasurface (PCM) for IoT anti-multipath indoor positioning is first proposed in this article. At first, a dual-band reflective miniaturization PCM unit is designed to analyze the relationship between the polarization conversion band and in-phase reflection band under u- and v- polarized incident waves. This provides theoretical support for PCM to simultaneously achieve radiation enhancement and in-band RCS reduction. Then, a dual-band shaping dipole antenna is designed as a radiator. Finally, a dual-band Wilkinson power divider and Butler matrix are designed to feed the$2\times 2$dipole array to achieve quad-polarization. In the overall design of the antenna, according to the principle of in-phase reflection in the dual-band, every$4\times 4$subarray of PCM is used as a reflector for every dipole antenna in the v direction to realize unidirectional radiation and low-profile design. The quad-polarization of X, Y, left-hand circular polarization (LHCP), and right-hand circular polarization (RHCP) is achieved within the bandwidths of 0.85–0.93 GHz and 2.38–2.5 GHz. Based on the principle of reflection phase cancellation in the dual-band, an$8\times 8$arrangement of PCM units with their mirror units is designed to achieve in-band monostatic RCS reduction in the dual-band range of 0.745–1.02 GHz and 2.1–2.67 GHz. Therefore, this antenna is highly suitable for the application of item-level high-precision cross-polarization positioning systems in multiconductor environments with indoor deployment of multiple IoT nodes.
Zijian Xing, Pengyue Yang, Chow-Yen-Desmond Sim, Guangwei Yang, Ling Wang 0007
IEEE Internet Things J.3