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Liyuan Yin

dblp:189/8912 · DBLP profile ↗
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8ranked-venue papers
5as first author
6since 2021 · last 2026
—ORCID · conflict

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

Applied, interdisciplinary, general and emerging computing · 3 · 2 first-author · 1 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Computer networks · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous 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
Segmentation and scene understanding · 56% 3D vision · 44%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Image and video processing · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
point cloud processing
0.412020
Semantic part segmentation of single-view point cloud · Sci. China Inf. Sci. 2020
Computer vision › Segmentation and scene understanding › part segmentation
semantic part segmentation
0.412020
Semantic part segmentation of single-view point cloud · Sci. China Inf. Sci. 2020
Geometric modeling and processing
shape analysis
0.312018
3D shape co-segmentation via sparse and low rank representations · Sci. China Inf. Sci. 2018
Image and video processing › image segmentation › shape segmentation
shape co-segmentation
0.312018
3D shape co-segmentation via sparse and low rank representations · Sci. China Inf. Sci. 2018
Computer vision › Segmentation and scene understanding
semantic segmentation
0.112020
Semantic part segmentation of single-view point cloud · Sci. China Inf. Sci. 2020

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

deep learning · 0.4sparse representation · 0.3low-rank representation · 0.3
YearPublicationVenuePosition
2026 Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images
Liyuan Yin, Pingping Liu, Tongshun Zhang, Qiuzhan Zhou
Expert Syst. Appl.1
2025 Multi-modal fusion guided retinex-based low-light image enhancement
Pingping Liu, Tongshun Zhang, Liyuan Yin
Expert Syst. Appl.4
2025 Adaptive monopulse beamforming with jamming suppression dimension selection for planar array
Ren-li Zhang, Liyuan Yin, Shurui Zhang 0001, Weixing Sheng
Signal Process.2
2025 Event-Triggered Secure Control Under Aperiodic DoS Attacks
abstract
This paper is focused on the event-based secure control issue for cyber-physical systems (CPSs) under aperiodic denial-of-service (DoS) attacks. Malicious DoS attacks disrupt the communication between the controller and the actuator. The finite attack resources of malicious attackers are taken into consideration, and the DoS attacks are characterized using an aperiodic model. In contrast to prior results, the present study tackles the issue of secure controller design by considering the attributes of the DoS attack, instead of employing a switched system approach to address the aforementioned concerns. More specifically, under aperiodic DoS attacks, sufficient criteria are established to guarantee that the closed-loop CPSs can achieve bounded stability. Then, within a time-varying attack period, the relationship between the attack active interval and the attack silent interval is derived. Without satisfying the derived conditions, the system’s stability will deteriorate. Moreover, an event-based secure control scheme under aperiodic DoS attacks is designed. To verify the efficacy of the derived theory, a wheeled mobile robot system under aperiodic DoS attacks is illustrated. Note to Practitioners—CPSs have been widely utilized in various domains, such as aerospace and intelligent transportation. However, the openness of networks provides attackers with numerous opportunities for malicious assaults, consequently leading to a degradation in system performance. Consequently, researching the security issues of CPSs under malicious attacks is of utmost urgency. This paper focuses on the issue of event-triggered secure control for CPSs in the presence of energy-constrained aperiodic DoS attacks. The event-triggered communication mechanism is introduced to reduce the computational burden. The criteria for ensuring the bounded stability of CPSs under aperiodic DoS attacks are proposed. The relationship between the attack active interval and the attack silent interval is derived, which is incorporated into the proposed criteria. A wheeled mobile robot system is given to validate the effectiveness of the proposed method. In the future, an active defense control method will be proposed to counter malicious attacks.
Liyuan Yin, Chengwei Wu 0001, Lezhong Xu, Hongming Zhu, Xiangyu Shao, Weiran Yao, Jianxing Liu, Ligang Wu 0001
IEEE Trans Autom. Sci. Eng.1
2024 Security Analysis and Control Under Periodic DoS Attacks
abstract
This article is focused on security analysis and control problems of cyber–physical systems (CPSs) under Denial-of-Service (DoS) attacks, which jam the controller-actuator channel. Considering the limited attack energy of malicious adversaries, DoS attacks are described by a periodic model. Different from existing results, both the security analysis and secure controller design problems are addressed based on the characteristics of DoS attack model rather than utilizing the switching system theory to solve the aforementioned problems. First, sufficient conditions are derived to ensure that the resultant closed-loop CPS under DoS attacks can preserve the exponential stability, and the critical value of the attack period is derived, below which the stability is deteriorated. Second, the relation between our proposed conditions and reinforcement learning-based control is established, based on which the security of reinforcement learning-based control can be evaluated effectively. Finally, both DoS attacks and external disturbances are considered in a unified framework, and sufficient conditions are proposed to evaluate the security of the closed-loop CPSs and design a secure controller. Finally, a mobile robot is adopted to validate the efficacy of the proposed methods.
Liyuan Yin, Lezhong Xu, Fusheng Hou, Hongming Zhu, Houhua Jing, Xingjian Sun, Chengwei Wu 0001
IEEE Internet Things J.1
2024 Secure Control for Cyber-Physical Systems Subject to Aperiodic DoS Attacks
abstract
This article addresses the secure control issue for cyber-physical systems (CPSs) under aperiodic denial-of-service (DoS) attacks. Malicious DoS attacks disrupt the communication between the controller and the actuator. The finite attack resources of malevolent attackers are taken into consideration, and the DoS attacks are characterized using an aperiodic model. In contrast to prior results, the present study tackles the issues of security analysis and secure controller design by considering the attributes of the DoS attacks, instead of employing a switched system approach to address the aforementioned concerns. First, under aperiodic DoS attacks, sufficient criteria are established to guarantee that the closed-loop CPSs can attain asymptotical stability. Second, within a time-varying attack period, the relationship between the attack active interval and the attack silent interval is derived, if this relation is not satisfied, the stability of the system will deteriorate. Finally, a unified framework is developed to address the external disturbances and aperiodic DoS attacks. Sufficient criteria are introduced for evaluating the security of CPSs, and a corresponding secure control scheme is also designed. To verify the efficacy of the derived theory, a wheeled mobile robot system under aperiodic DoS attacks is illustrated.
Liyuan Yin, Chengwei Wu 0001, Hongming Zhu, Quanqi Zhang
IEEE Trans. Syst. Man Cybern. Syst.1
2020 Semantic part segmentation of single-view point cloud
Haotian Peng, Liyuan Yin, Kan Guo, Qinping Zhao
Sci. China Inf. Sci.3
2018 3D shape co-segmentation via sparse and low rank representations
Liyuan Yin, Kan Guo, Qinping Zhao
Sci. China Inf. Sci.1