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Honglong Chang

dblp:10/5894 · DBLP profile ↗
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7ranked-venue papers
0as first author
5since 2021 · last 2026
0000-0003-0400-3658ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 4 · 4 since 2021Systems, architecture and hardware · 2Graphics, 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 architecture, parallel and distributed computing, and storage systems
5 papers
Integrated circuit design · 60% Emerging computing paradigms · 16% Electronic design automation · 11%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 4 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
microelectromechanical systems
1.122022
Mode-localized accelerometer with ultrahigh sensitivity · Sci. China Inf. Sci. 2022
Resolution limit of mode-localised sensors · Sci. China Inf. Sci. 2021
Electronic design automation
circuit simulation
0.212014
A Global Maximum Error Controller-Based Method for Linearization Point Selection in Trajectory Piecewise-Linear Model Order Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Electronic design automation › circuit simulation
model order reduction
0.212014
A Global Maximum Error Controller-Based Method for Linearization Point Selection in Trajectory Piecewise-Linear Model Order Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Internet of things and sensor networks › motion sensing
inertial sensing
0.212022
Mode-localized accelerometer with ultrahigh sensitivity · Sci. China Inf. Sci. 2022

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

mode localization · 1.0trajectory piecewise-linear model order reduction · 0.4global maximum error controller · 0.4
YearPublicationVenuePosition
2026 Heat-sensitive mode-localized current sensor with ultra-high sensitivity
Yongcun Hao, Honglong Chang
Sci. China Inf. Sci.3
2026 Active Defocus Blurring for Background Clutter Suppression in LWIR DoFP Polarimeter
Jia Hao 0004, Xinling Yao, Yunyi Bian, Geng Tong, Jia Cao, Xiaochang Yu, Jiancun Zhao, Honglong Chang, Chenwei Deng, Yiting Yu
IEEE Trans. Circuits Syst. Video Technol.9
2022 Recent advances in wireless epicortical and intracortical neuronal recording systems
Zekai Liang, Xichen Yuan, Honglai Xu, Erwei Yin, Zhejun Guo, Longchun Wang, Huicheng Feng, Honglong Chang
Sci. China Inf. Sci.11
2022 Mode-localized accelerometer with ultrahigh sensitivity
Hao Kang, Bing Ruan, Yongcun Hao, Honglong Chang
Sci. China Inf. Sci.4
2021 Resolution limit of mode-localised sensors
Honglong Chang
Sci. China Inf. Sci.2
2019 Spherical electret generator for water wave energy harvesting by folded structure
abstract
With the increasing demand for energy resource, the development of marine energy harvesting technology has attracted widespread attention. Herein, a spherical electret wave power generator is designed and constructed for ocean wave energy harvesting. Based on electrostatic induction from electret material, the generator converts wave energy into electric energy through the bias voltage of the folded electret power generation unit. With ultra-low excitation frequency at 2Hz, the peak-to-peak output voltage and output power can be reached up to around 300 V and 20 mW, respectively. Compared with other traditional wave energy generators, the utilization of space in the sphere is improved by the folded structure, which also has the advantages in terms of simple structure, high-energy conversion efficiency, light weight and small size. The generator is also capable of collecting low-frequency vibration energy in random directions, as well as realizing large-scale power supply after deploying an array of structures.
Shishi Li, Haiping Yi, Yunjia Li, Honglong Chang, Kai Tao
IECON8
2014 A Global Maximum Error Controller-Based Method for Linearization Point Selection in Trajectory Piecewise-Linear Model Order Reduction
abstract
We propose a new linearization point selection method based on a global maximum error controller for the trajectory piecewise-linear (TPWL) model order reduction (MOR). This method is based on a simple fact that the simulation cost of the TPWL model is very low, and selects the state at which the responses of the current TPWL model and the full nonlinear model have the maximum difference as a new linearization point. Numerical results show that the proposed method can generate the TPWL model of smaller size and higher accuracy, and can easily be extended to generate the TPWL model for multiple training inputs.
Weizheng Yuan, Honglong Chang
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3