Cheng-jin Zhang

发表

A new algebraic approach to finding all simple paths and cycles in undirected graphs

Chengjin Zhang, Rui Gao, Runtao Yang, 2015, 2015 IEEE International Conference on Information and Automation.

Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

Runtao Yang, Rui Gao, Lina Zhang, 2016, BMC Bioinformatics.

Using the SMOTE technique and hybrid features to predict the types of ion channel-targeted conotoxins.

Chengjin Zhang, Qing Song, Rui Gao, 2016, Journal of theoretical biology.

Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides

Runtao Yang, Lina Zhang, Cheng-jin Zhang, 2018, Scientific Reports.

A Convolutional Neural Network-Based Approach to Identify the Origins of Replication in Saccharomyces Cerevisiae*

Chengjin Zhang, Runtao Yang, Jingui Chen, 2020, 2020 39th Chinese Control Conference (CCC).

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength

Runtao Yang, Lina Zhang, Feng Wu, 2021, International journal of molecular sciences.

A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique

Chengjin Zhang, Rui Gao, Lina Zhang, 2018, BioMed research international.

A deep learning framework combined with word embedding to identify DNA replication origins

Runtao Yang, Chengjin Zhang, Lina Zhang, 2021, Scientific Reports.

An Ensemble Method with Hybrid Features to Identify Extracellular Matrix Proteins

Runtao Yang, Chengjin Zhang, Rui Gao, 2015, PloS one.

PCSPred_SC: Prediction of Protein Citrullination Sites Using an Effective Sequence-Based Combined Method

Chengjin Zhang, Lina Zhang, Runtao Yang, 2020, IEEE Access.

An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors

Runtao Yang, Chengjin Zhang, Rui Gao, 2015, International journal of molecular sciences.

Bacterial foraging optimization based on improved chemotaxis process and novel swarming strategy

Chengjin Zhang, Yong Song, Hongling Wang, 2018, Applied Intelligence.

An improved Bacterial Foraging Optimization algorithm using novel chemotaxis and swarming strategy

Chengjin Zhang, Hongling Wang, Bao Pang, 2018, 2018 IEEE International Conference on Information and Automation (ICIA).

A Modified Artificial Bee Colony Algorithm Based on the Self-Learning Mechanism

Chengjin Zhang, Yong Song, Hongling Wang, 2018, Algorithms.

Real-Time Photometric Calibrated Monocular Direct Visual SLAM

Xianfeng Yuan, Chengjin Zhang, Peixin Liu, 2019, Sensors.

Multi-Conditional Generative Adversarial Network for Text-to-Video Synthesis

Qingyang Xu, Yong Song, Cheng-jin Zhang, 2022, Journal of Computer-Aided Design & Computer Graphics.

Scene image and human skeleton-based dual-stream human action recognition

Xianfeng Yuan, Wanqiang Zheng, Yong Song, 2021, Pattern Recognit. Lett..

CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging

Dong Liang, Chengjin Zhang, Zhanli Hu, 2020, IEEE Transactions on Computational Imaging.

DeepGly: A Deep Learning Framework With Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites From Imbalanced Data

Chengjin Zhang, Qian Zhang, Lina Zhang, 2019, IEEE Access.

JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method

Chengjin Zhang, Rui Gao, Lina Zhang, 2015, BioMed research international.

Multi-Scale Capsule Attention Network and Joint Distributed Optimal Transport for Bearing Fault Diagnosis under Different Working Loads

Xianfeng Yuan, Fengyu Zhou, Chengjin Zhang, 2021, Sensors.

A Novel Fault Diagnosis Algorithm for Rolling Bearings Based on One-Dimensional Convolutional Neural Network and INPSO-SVM

Chengjin Zhang, Xu Qingyang, Yang Shao, 2020, Applied Sciences.

A New Machine Learning Based Framework to Identify Protein Glycation Sites Using Comprehensive Features and the mRMR Method

Chengjin Zhang, Lina Zhang, Runtao Yang, 2019, 2019 Chinese Control And Decision Conference (CCDC).

Autonomous Task Allocation in a Swarm of Foraging Robots: An Approach Based on Response Threshold Sigmoid Model

Chengjin Zhang, Yong Song, Bao Pang, 2019, International Journal of Control, Automation and Systems.

A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced Data

Chengjin Zhang, Runtao Yang, Rui Gao, 2016, International journal of molecular sciences.

Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments

Chengjin Zhang, Yong Song, Hongling Wang, 2018, J. Robotics.

Effect of random walk methods on searching efficiency in swarm robots for area exploration

Bao Pang, Runtao Yang, Yong Song, 2021, Appl. Intell..

A strategy of multi-robot formation and obstacle avoidance in unknown environment

Chengjin Zhang, Ting Chi, Yong Song, 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors

Qing Song, Lina Zhang, Runtao Yang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics

Runtao Yang, Chengjin Zhang, Rui Gao, 2015, International journal of molecular sciences.

Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy

Qing Song, Lina Zhang, Runtao Yang, 2016, PloS one.

A machine learning approach to identify DNA replication proteins from sequence-derived features

Chengjin Zhang, Rui Gao, Lina Zhang, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Robot SLAM with Ad hoc wireless network adapted to search and rescue environments

Yong Song, Bao Pang, Cheng-jin Zhang, 2018, Journal of Central South University.

Bacterial foraging optimization based on improved chemotaxis process and novel swarming strategy

Runtao Yang, Yong Song, Bao Pang, 2019, Applied Intelligence.

PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations*

Chengjin Zhang, Lina Zhang, Runtao Yang, 2018, 2018 IEEE International Conference on Information and Automation (ICIA).

Self-organized task allocation in swarm robotics foraging based on dynamical response threshold approach

Chengjin Zhang, Yong Song, Hongling Wang, 2017, 2017 18th International Conference on Advanced Robotics (ICAR).

Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides

Chengjin Zhang, Lina Zhang, Runtao Yang, 2018, Scientific Reports.

A Novel Algorithm of Cooperative Foraging for Swarm Robot Based on Neural Network*

Chengjin Zhang, Hai Liu, Yong Song, 2019, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

Chengjin Zhang, Rui Gao, Lina Zhang, 2016, BMC Bioinformatics.

Self-supervised learning of LiDAR odometry based on spherical projection

Xianfeng Yuan, Qingyang Xu, Yong Song, 2022 .