Wenjin Xu

South China University of Technology

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Co-Authors

Xianbing Ke

NARI Group (China)

Lamei Wu

Jiading District Central Hospital

Xianming Hu

Shanxi Medical University

Qifeng Zhu

Jiaxing University

Keda Zhang

Shenzhen Technology University

Hao Hu

Shanghai Jiao Tong University

Yonghui Du

Qingdao University of Science and Technology

Hao Hu

Huazhong Agricultural University

Yan Zhang

Shanghai Maritime University

Zhenzhen Du

Qingdao University of Science and Technology

Cooperative Institutions

Qingdao University of Science and Technology

Wuhan University

University of Iowa

University of Kentucky

Chongqing University

Huazhong University of Science and Technology

Beihang University

Peking University

Shanghai Jiao Tong University

Southwest University

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An Image-Based Imitation Learning Framework for Robotic Writing Tasks

2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024)

Wenjin Xu Xiaolong Li Qingmin Li Chenguang Yang

10.1109/m2vip62491.2024.10746145

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CCDC 682757: Experimental Crystal Structure Determination

The Cambridge Structural Database (2009)

Xianbing Ke Hao Hu Keda Zhang Wenjin Xu Qifeng Zhu

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccqxgfh

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CCDC 854184: Experimental Crystal Structure Determination

The Cambridge Structural Database (2012)

Wenjin Xu Gifty Osei-Prempeh Carolina Lema E. Davis Oldham Renato J. Aguilera

10.5517/ccxnvbq

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Object tracking method based on improved Gaussian particle filter

Systems engineering and electronics (2010)

Wenjin Xu

An improved method is put forward based on Gaussian particle filter aiming at overcoming the disadvantages of existing particle filter methods.The current measures are taken into consideration to estimate and append the distribution parameters of measure errors for getting the weighted factors of particles.The method can be used to solve non-linear problems which have conditions that measure error distribution is Gaussian and state values have relatives with measure errors.Simulation results show more accuracy and less computation cost comparing with traditional PF,UPF and GPF methods.

Tracking (education)

Gaussian filter

Auxiliary particle filter

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CCDC 695665: Experimental Crystal Structure Determination

The Cambridge Structural Database (2009)

Xianbing Ke Hao Hu Keda Zhang Wenjin Xu Qifeng Zhu

10.5517/ccrbwtr

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Engineering Teaching on Information Aggregation of Communication Major

Wenjin Xu

A new research of teaching strategy for communication engineering is introduced in this paper.The study is on teaching research of communication engineering, which is based on the new technology of information aggregation.The article presents the information aggregation technology, data collection strategy in different kinds of network and effect of using the new teaching pattern respectively.The research method of the paper is to introduce the information aggregation technology into the communication engineering teaching.The comparison of the result of the teaching that uses the new method to the traditional teaching is clear.The result is that the technology of information aggregation is very important to enhance the study of students whose major are communication engineering.From the information aggregation point of view, the paper describes the importance and necessity that teachers use information aggregation as a teaching method for communication major.The conclusion of the research is that the new technology of information aggregation has great value in teaching of communication engineering.

Data aggregator

Information engineering

10.2991/meic-15.2015.185

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Discriminant-enhanced neighborhood preserving embedding for dimensionality reduction

Chinese Automation Congress (2013)

Yi Chai Zhimin Yang Ke Zhang Wenjin Xu

Neighborhood preserving embedding is an useful linear dimensionality reduction method by preserving neighbourhood structure of high-dimensional data. However, it takes advantage of less class information to keep away data point from different classes for better recognition. In this paper, we proposed an improved neighborhood preserving embedding dimensionality reduction approach named discriminant-enhanced neighborhood preserving embedding (DNPE). It seeks to preserve the intrinsic structure of original data by constructing the neiborhood relationship of data point in the same class and enhance the discriminabil-ity by employing maximum margin criterion. Compared to using fisher criterion, the proposed method can avoid the small sample size (SSS) problem by introducing maximum margin criterion to its objective function. To evaluate the effectiveness of the proposed method, experiments are conducted using k-nearest neighbor classifier on CMU PIE and UMIST database. The experimental results show that the proposed method performs better than some other linear methods in recognition on both databases.

Margin (machine learning)

Data point

10.1109/cac.2013.6775738

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Machine Learning Algorithm Study on Refrigerator Parameter Analysis

Wenjin Xu Yuan Feng Di Zhou

10.23977/meet.2019.93707

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Analysis and Simulation of Service Delay of Battlefield Information Delivery Model

Han Hee Song Zhang Xiaolin Wenjin Xu

Information delivery service(IDS) is an important part of Information Grid and with the expansion of network and users, Quality of Service(QoS) has been the basic requirement of IDS. The architecture of Content Delivery Network, the frame of Data Delivery Service and the property of Battle Formation(BF) are firstly analyzed and a battlefield information delivery model is put forward based on BF, which also provides the mechanism for information submitting, searching and receiving. Besides this, a delivery method based on information type and a strategy to process information with priority are present, which are paid more attentions on battlefield, and the analysis on it is also provided, theoretical analysis and simulation verify the effectiveness of the methods proposed.

Battlefield

10.1109/icic.2009.267

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Citations (1)

標的神経内分泌癌治療のための新規H DAC阻害剤thailandepsin Aを負荷したKE108共役単分子ミセル【Powered by NICT】

Biomaterials (2016)

Guojun Chen Jaskula-Sztul Renata Harrison April Dammalapati Ajitha Wenjin Xu

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