Demo Data from SIGIR 2026 / reviewers in the wild / expert
Lairong Yin
dblp:273/6658
· DBLP profile ↗
6ranked-venue papers
0as first author
5since 2021 · last 2026
0000-0002-8562-3148ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › motion planning
trajectory planning |
0.7 | 1 | 2023 | Modeling and Analyzing Layup Gaps in the Trajectory Planning for Automated Tape Placement · Comput. Aided Des. 2023 |
Methods — techniques the papers use, named apart from their topics
layup gap modeling · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Balancing coverage and width: A robust adaptive interval prediction model in the supervised learning framework
Jia Ma, Kexian Li, Can Luo, Lairong Yin |
Knowl. Based Syst. | 6 |
| 2024 | A radiation-hardened 20T SRAM Cell with high reliability and low power consumptionabstractAs CMOS process sizes continue to shrink, static randomized memory (SRAM) cells have become very sensitive to the charge generated by high-energy radiation particles, making them more susceptible to Single Event Upsets(SEUs). In this paper, a highly reliable and low-power radiation hardened 20T SRAM (RH-20T) cell is proposed. RH-20T is able to recover from single-node upsets (SNU) at all sensitive nodes, and also the structure has ten node pairs for self-recovery from double-node upsets(DNU). Simulation results demonstrate its advantages in terms of reliability and power consumption over typical existing radiation-hardened SRAM cell designs, such as ZHANG14T, QUCCE12T, RHMD10T, SEA14T, SCCS, S4P8N, S8P4N, DNUSRM, SESRS and CC18T, the RH-20T achieves an average power consumption reduction of 44.61%, and an average write access time (WAT) reduction of 19.78%. Shuo Cai, Xinjie Liang, Fei Yu 0009, Lairong Yin |
ITC-Asia | 5 |
| 2024 | Rules-reduced fuzzy neural network-based learning control for multiple constraints robots using online identification and compensation methods
Du Xu, Tete Hu, Lairong Yin |
Inf. Sci. | 4 |
| 2023 | Modeling and Analyzing Layup Gaps in the Trajectory Planning for Automated Tape Placement
Lairong Yin, Zhenhua Zhou, Yonggang Tong, Wenming Feng |
Comput. Aided Des. | 2 |
| 2023 | Four-input-C-element-based multiple-node-upset-self-recoverable latch designs
Shuo Cai, Caicai Xie, Weizheng Wang 0002, Fei Yu 0009, Lairong Yin |
Integr. | 6 |
| 2020 | Soft Error Reliability Evaluation of Nanoscale Logic Circuits in the Presence of Multiple Transient Faults
Shuo Cai, Binyong He, Weizheng Wang 0002, Peng Liu 0045, Fei Yu 0009, Lairong Yin, Bo Li 0051 |
J. Electron. Test. | 6 |