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Jun Hong 0002

dblp:h/JunHong2 · DBLP profile ↗
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12ranked-venue papers
0as first author
8since 2021 · last 2026
0000-0001-9556-9619ORCID · conflict

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

Artificial intelligence and machine learning · 9 · 6 since 2021Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 2 · 2 since 2021Computer networks · 1

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
2 papers
Robot manipulation · 52% Legged, aerial and field robots · 48%
Computer networks
1 paper
Internet of things and sensor networks · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
bio-inspired robot
0.312018
A Fluid-Filled Tubular Dielectric Elastomer Variable Stiffness Structure Inspired by the Hydrostatic Skeleton Principle *Research supported by the National Natural Science Foundation of China (No.51675413) · ICRA 2018
Robotics › Robot manipulation › soft robotics › soft actuator
dielectric elastomer actuator
0.312018
A Fluid-Filled Tubular Dielectric Elastomer Variable Stiffness Structure Inspired by the Hydrostatic Skeleton Principle *Research supported by the National Natural Science Foundation of China (No.51675413) · ICRA 2018
Robotics › Robot manipulation
soft robotics
0.312018
A Fluid-Filled Tubular Dielectric Elastomer Variable Stiffness Structure Inspired by the Hydrostatic Skeleton Principle *Research supported by the National Natural Science Foundation of China (No.51675413) · ICRA 2018
Robotics › Legged, aerial and field robots › robot locomotion
soft robot locomotion
0.312017
Design and control of an inchworm-inspired soft robot with omega-arching locomotion · ICRA 2017
Embedded and real-time systems › industrial control systems
condition monitoring
0.112020
Use of CdTe Quantum Dots as Heat Resistant Temperature Sensor for Bearing Rotating Elements Monitoring · IEEE J. Sel. Areas Commun. 2020
Computational fabrication
additive manufacturing
0.112017
Design and control of an inchworm-inspired soft robot with omega-arching locomotion · ICRA 2017

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

polymer coating · 0.9photoluminescence spectroscopy · 0.9strain-limiting layers · 0.6silicone square tube · 0.6friction-based anchoring · 0.6mathematical analysis · 0.3experimental validation · 0.3
YearPublicationVenuePosition
2026 A MoE-LLM-based multisensor flexible fusion fault diagnosis method for rotating machinery
Tantao Lin, Zhijun Ren, Hamid Reza Karimi, Yongsheng Zhu, Ke Feng 0004, Jun Hong 0002
Adv. Eng. Informatics7
2026 Reliability-aware dynamic graph fusion and LLM-based diagnostic assistant for bearing faults
Tantao Lin, Zhijun Ren, Xinzhuo Zhang, Hamid Reza Karimi, Yongsheng Zhu, Jun Hong 0002
Adv. Eng. Informatics7
2026 A novel physics-constrained deep learning framework for the inverse design of assembly contact interfaces
Lifei Chen, Qiyin Lin, Mingjun Qiu, Qiyuan Xie, Yuge Jiao, Jun Hong 0002
Eng. Appl. Artif. Intell.9
2025 A novel multi-fidelity modeling method with double adaptive selection of kernel and learning functions - Application to spaceborne deployable antennas
Liangfei Zhu, Qiangqiang Zhao, Yuqing Feng, Dewen Yu, Jun Hong 0002
Expert Syst. Appl.6
2025 TransPhyX: A data-driven method for dynamic physical field prediction in stochastic load time-series
Qiyin Lin, Feiyu Gu, Mingjun Qiu, Jian Zhuang, Jun Hong 0002
Knowl. Based Syst.6
2024 Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Zhijun Ren, Yongsheng Zhu, Ke Feng 0004, Zheng Liu 0002, Hong Fu, Jun Hong 0002, Adam Glowacz
Eng. Appl. Artif. Intell.7
2023 Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis
Zhijun Ren, Yongsheng Zhu, Qing Ni, Jun Hong 0002
Eng. Appl. Artif. Intell.6
2022 Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data
Zhijun Ren, Yongsheng Zhu, Hong Fu, Qingbo Niu, Jun Hong 0002
Knowl. Based Syst.8
2020 Design and Experimental Study of a Pneumatic Bionic Stingray Undulatory Soft Robot
Songzi Guo, Haiyan Cheng, Jun Hong 0002
ICINCO5
2020 Use of CdTe Quantum Dots as Heat Resistant Temperature Sensor for Bearing Rotating Elements Monitoring
abstract
The thermal characteristics of bearing rotating elements are essential for the service evaluation of bearing. However, the existing monitoring methods are limited by bearing internal complex structure and extreme operating environment. Hence, based on the monitoring technology of CdTe quantum dots (QDs) sensor, an improved QDs sensor was fabricated by process optimization and polymers coating, which enables bearing rotating elements thermal monitoring for extreme working condition. First, the principle of the measurement was introduced and the existing problems were analyzed. Then, the influence of preparation process on temperature-dependent photoluminescence (PL) spectra of CdTe QDs was investigated. The performance improvement methods of the QDs sensor, both organic coating and inorganic coating, were investigated. The fabricated sensor named CdTe@PVA presents remarkable improved performance in fluorescence intensity, highest tolerable temperature and stability. In the end, a rolling bearing experimental rig was set up and the temperature of the bearing cage at different rotation speeds were captured by using the proposed CdTe@PVA sensor.
Aizhao Pan, Yongsheng Zhu, Jun Hong 0002, Panting Liang
IEEE J. Sel. Areas Commun.5
2018 A Fluid-Filled Tubular Dielectric Elastomer Variable Stiffness Structure Inspired by the Hydrostatic Skeleton Principle *Research supported by the National Natural Science Foundation of China (No.51675413)
abstract
This work presents a novel variable stiffness structure consisting of a fiber-constrained dielectric elastomer tube filled with insulating oil. The tensile stiffness of the structure can be adjusted by voltages and its initial value can be customized according to the initial pre-stretch of the material. The structure has a dimension of ∼30 mm diameter × 50 mm length. A mathematical analysis is established to predict the initial tensile stiffness of the structure. The changes of the tensile stiffness of the structure under voltages are verified experimentally. The results show a decrease of the tensile stiffness of the device by 25% at 4 kV and the decrement is also related to the elongation of the structure. With different pre-stretches and dimensions of the dielectric elastomer, one can obtain devices with different variation ranges of tensile stiffness.
Yuanjie Li, Jun Hong 0002, Michael Yu Wang
ICRA5
2017 Design and control of an inchworm-inspired soft robot with omega-arching locomotion
abstract
This paper presents an inchworm inspired soft robot composed of the soft body, the front foot as well as the back foot. Compared to the traditional inchworm-type robot consisting of rigid components, the driven mode for the soft robot is more simple. The soft robot inspired by the inchworm has higher locomotion efficiency than the other bionic soft robot. The main idea of this paper is to imitate the “Ω” motion shape of biology inchworm based on a silicone square tube with strain-limiting layers. Besides, each foot of the robot made through 3D printing technology together with metal sheet can produce different friction coefficients to achieve the anchor-motion movement. Then, the robot realizes an inchworm-like locomotion under certain actuation patterns. Experimental results show that the proposed robot has excellent performance.
Huaxia Guo, Yuanjie Li, Jun Hong 0002
ICRA5