Chenyang Xu

Shanghai Jiao Tong University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Stephen A. Boppart

University of Illinois Urbana-Champaign

Qiuyi Li

China Railway Fifth Survey and Design Institute Group

Yuanxin Guo

Jiangsu University of Science and Technology

Daniel L. Marks

Plasmonics (United States)

Peihan Wang

Qingdao Agricultural University

Jerry L. Prince

Johns Hopkins University

Liang Wang

Shanghai Jiao Tong University

Changhai Shao

Changqing Xu

Shanghai Jiao Tong University

Zheng You-Liao

Nanjing University

Cooperative Institutions

European Southern Observatory

Vrije Universiteit Brussel

Institut d'Astrophysique de Paris

Hohai University

Qingdao Agricultural University

Shanghai Jiao Tong University

Max Planck Society

Chinese Academy of Sciences

Universidade de São Paulo

Tsinghua University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting

Neural Networks (2024)

Chenyang Xu Changqing Xu

Representation

Relevance

Feature (linguistics)

Feature Learning

10.1016/j.neunet.2024.106365

Cite

Citations (3)

Mechanical properties, thermal properties and durability of lightweight thermal insulation recycled concrete

Research Square (Research Square) (2024)

Chenyang Xu W Z Pan Qiuyi Li Yuanxin Guo

Abstract To improve forestry solid waste reuse, reduce building energy consumption, and increase building capacity, preparing lightweight concrete with new materials has gained recent attention. This paper used waste wood and expanded perlite (EP) to design lightweight thermal insulation recycled concrete (LTIRC) with different volume admixtures. Compared to mineral aggregate, wood aggregate (WA) and EP show large differences in water absorption, particle morphology, density, and crushing index. Therefore, this paper comprehensively evaluated the dry density, mechanical properties, thermal properties, chloride ion permeability, and frost resistance of LTIRC. The results showed WA and EP introduction effectively reduced concrete bulk weight and met the dry density standard for lightweight concrete. Regarding thermal insulation performance, both WA and EP are characterized by porous, low–density, and low thermal conductivity. Consequently, LTIRC thermal conductivity was reduced by up to 76.5% versus conventional concrete, effectively increasing resistance to heat flow through concrete and providing potential for building energy savings. Additionally, WA and EP addition caused LTIRC to experience mechanical and durability property deterioration. However, some LTIRCs achieved over 80% of the strength of natural aggregate concrete. Moreover, WA addition inhibited internal crack generation in LTIRC and slowed concrete damage from increased WA and EP dosage. The maximum mass loss of LTIPC was 2.72% after 100 freeze–thaw cycles. LTIPC precast panels are suitable for preparing low–carbon insulated building wall panels.

Perlite

Pervious concrete

Precast concrete

10.21203/rs.3.rs-3855295/v1

Cite

Citations (0)

Determination of critical pH and Al concentration of acidic Ultisols for wheat and canola crops

Abdulaha-Al Baquy Jiu-yu Li Chenyang Xu Khalid Mehmood Ren‐kou Xu

Abstract. Soil acidity has become a serious constraint in dry land crop production systems of acidic Ultisols in tropical and subtropical regions of southern China, where winter wheat and canola are cultivated as important rotational crops. Regardless of other common existing concerns in acidic Ultisols of southern China, it needs to be investigated whether soil acidity has any effect on wheat and canola growth. There is little information on the determination of critical soil pH as well as aluminium (Al) concentration for wheat and canola crops. The objective of this study was to determine the critical soil pH and exchangeable aluminium concentration (AlKCl) for wheat and canola production. Two pot cultures with two Ultisols from Hunan and Anhui were conducted for wheat and canola crops in a controlled growth chamber, with a completely randomized design. A soil pH gradient ranging from 3.7 (Hunan) and 3.97 (Anhui) to 6.5, with three replications, was used as a treatment. Aluminium sulfate (Al2(SO4)3) and hydrated lime (Ca(OH)2) were used to obtain the target soil pH levels. Plant height, shoot dry weight, root dry weight, and chlorophyll content (SPAD value) of wheat and canola were adversely affected by soil acidity in both locations. The critical soil pH and AlKCl of the Ultisol from Hunan for wheat were 5.29 and 0.56 cmol kg−1, respectively. At Anhui, the threshold soil pH and AlKCl for wheat were 4.66 and 2.36 cmol kg−1, respectively. On the other hand, the critical soil pH for canola was 5.65 and 4.87 for the Ultisols from Hunan and Anhui, respectively. The critical soil exchangeable Al for canola cannot be determined from the experiment of this study. The results suggested that the critical soil pH and AlKCl varied between different locations for the same variety of crop, due to the different soil types and their other soil chemical properties. The critical soil pH for canola was higher than that for wheat for both Ultisols, thus canola was more sensitive to soil acidity. Therefore, we recommend that liming should be undertaken to increase soil pH if it falls below these critical soil pH levels for wheat and canola production.

Ultisol

Dry weight

Soil acidification

10.5194/se-2016-126

Cite

Citations (4)

Reconstruction of the Human Cortical Surface from MR Images

NeuroImage (1998)

Chenyang Xu Dzung L. Pham Jerry L. Prince

10.1016/s1053-8119(18)31548-9

Cite

Citations (2)

Trajectory Data Compression Using Hopfield Neural Network

2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2018)

Chuanchuan Chen Changqing Xu Chenyang Xu Dongrui Liu Longwei Tian

Trajectory data can be used to predict traffic congestion and analyze crowd behavior patterns, which makes it more important in daily applications. For a long time, the volume of location data collected by various equipment will obtain an high speed increasing. Hence, it will be a enormous challenge to storage and transmit that big data. Due to the fact that traditional trajectory compression algorithms such as Douglas-Peucker algorithm are fast but not optimal algorithms. So, a kind of parallel algorithm utilizing Hopfield Neural Network is proposed in this paper. The proposed algorithm is an optimization algorithm with parallel computing capability, which satisfies fast processing to some extent. Finally, experience shows that the proposed algorithm can implement trajectory compression with fixed compression ratio and less accuracy loss compared with other existing algorithms.

10.1109/csci46756.2018.00043

Cite

Citations (2)

PAR volume 141 issue 7 Cover and Back matter

Parasitology (2014)

Naveed Ahmed Khan Ruqaiyyah Siddiqui Joaquín M. Prada Louise Matthews Colette Mair

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Content (measure theory)

10.1017/s0031182014000717

Cite

Citations (0)

Experimental study on the preparation of wood aggregate recycled concrete using waste wood and recycled fine aggregate from construction and demolition wastes

Journal of Building Engineering (2024)

Peihan Wang Chenyang Xu Qiuyi Li Liang Wang Yuanxin Guo

Demolition waste

Construction waste

10.1016/j.jobe.2024.109471

Cite

Citations (2)

On the relationship between parametric and geometric active contours

Chenyang Xu Anthony Yezzi Jerry L. Prince

Geometric active contours have many advantages over parametric active contours, such as computational simplicity and the ability to change the curve topology during deformation. While many of the capabilities of the older parametric active contours have been reproduced in geometric active contours, the relationship between the two has not always been clear. We develop a precise relationship between the two which includes spatially-varying coefficients, both tension and rigidity, and non-conservative external forces. The result is a very general geometric active contour formulation for which the intuitive design principles of parametric active contours can be applied. We demonstrate several novel applications in a series of simulations.

Rigidity (electromagnetism)

Active contour model

Parametric equation

Parametric design

Geometric Modeling

Parametric model

10.1109/acssc.2000.911003

Cite

Citations (248)

Near-infrared dyes as contrast-enhancing agents for spectroscopic optical coherence tomography

Optics Letters (2004)

Chenyang Xu Jian Ye Daniel L. Marks Stephen A. Boppart

Optical coherence tomography (OCT) images of biological tissues often have low contrast. Spectroscopic optical coherence tomography (SOCT) methods have been developed to enhance contrast but remain limited because most tissues are not spectrally active in the frequency bands of laser sources commonly used in OCT. Near-infrared (NIR) dyes with absorption spectra features within the OCT source spectrum can be used for enhancing contrast in this situation. We introduce and demonstrate the use of NIR dyes as contrast agents for SOCT. Contrast-enhanced images are compared with fluorescence microscopy, demonstrating a link between SOCT and fluorescence imaging.

Biological Imaging

10.1364/ol.29.001647

Cite

Citations (152)

Image classification based on low-rank matrix recovery and Naive Bayes collaborative representation

Neurocomputing (2015)

Xu Zhang Shijie Hao Chenyang Xu Xueming Qian Meng Wang

Overfitting

Discriminative model

Pooling

Contextual image classification

Rank (graph theory)

10.1016/j.neucom.2015.01.085

Cite

Citations (14)