Defu Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Graph contrastive learning with cross-encoder for community discovery.
Appl. Intell., 2024

2023
Research on the Design and Alignment Method of the Optic-Mechanical System of an Ultra-Compact Fully Freeform Space Camera.
Sensors, December, 2023

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, May, 2023

CFGM: An algorithm for closed frequent graph patterns mining.
Inf. Sci., May, 2023

Machine learning techniques for stock price prediction and graphic signal recognition.
Eng. Appl. Artif. Intell., May, 2023

A power line loss analysis method based on boost clustering.
J. Supercomput., 2023

Multiscale Attention Networks for Pavement Defect Detection.
IEEE Trans. Instrum. Meas., 2023

Stacking ensemble model of deep learning for plant disease recognition.
J. Ambient Intell. Humaniz. Comput., 2023

Solving 3D packing problem using Transformer network and reinforcement learning.
Expert Syst. Appl., 2023

Weakly-supervised learning method for the recognition of potato leaf diseases.
Artif. Intell. Rev., 2023

Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Neural Embedding Singular Value Decomposition for Collaborative Filtering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Comparative evaluation of task priorities for processing and bandwidth capacities-based workflow scheduling for cloud environment.
J. Supercomput., 2022

An entity-weights-based convolutional neural network for large-sale complex knowledge embedding.
Pattern Recognit., 2022

Mobile convolution neural network for the recognition of potato leaf disease images.
Multim. Tools Appl., 2022

Learning knowledge graph embeddings by deep relational roto-reflection.
Knowl. Based Syst., 2022

Complex graph convolutional network for link prediction in knowledge graphs.
Expert Syst. Appl., 2022

Segmentation of medical images using an attention embedded lightweight network.
Eng. Appl. Artif. Intell., 2022

Deadline-constrained cost-energy aware workflow scheduling in cloud.
Concurr. Comput. Pract. Exp., 2022

MS-DNet: A mobile neural network for plant disease identification.
Comput. Electron. Agric., 2022

Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Analysis and comparison of machine learning classifiers and deep neural networks techniques for recognition of Farsi handwritten digits.
J. Supercomput., 2021

A pragmatic convolutional bagging ensemble learning for recognition of Farsi handwritten digits.
J. Supercomput., 2021

MCnet: Multiple Context Information Segmentation Network of No-Service Rail Surface Defects.
IEEE Trans. Instrum. Meas., 2021

Two Deep Learning Networks for Rail Surface Defect Inspection of Limited Samples With Line-Level Label.
IEEE Trans. Ind. Informatics, 2021

Informed Anytime Fast Marching Tree for Asymptotically Optimal Motion Planning.
IEEE Trans. Ind. Electron., 2021

Research of power load prediction based on boost clustering.
Soft Comput., 2021

AutoFM: an efficient factorization machine model via probabilistic auto-encoders.
Neural Comput. Appl., 2021

Automatic identification of commodity label images using lightweight attention network.
Neural Comput. Appl., 2021

A cognitive vision method for the detection of plant disease images.
Mach. Vis. Appl., 2021

Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs.
Knowl. Based Syst., 2021

A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis.
Knowl. Inf. Syst., 2021

Feature grouping and selection: A graph-based approach.
Inf. Sci., 2021

Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning.
IET Image Process., 2021

KGEL: A novel end-to-end embedding learning framework for knowledge graph completion.
Expert Syst. Appl., 2021

Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph.
Expert Syst. Appl., 2021

Forecasting daily stock trend using multi-filter feature selection and deep learning.
Expert Syst. Appl., 2021

Identification of rice plant diseases using lightweight attention networks.
Expert Syst. Appl., 2021

Towards decomposition based multi-objective workflow scheduling for big data processing in clouds.
Clust. Comput., 2021

Identifying crop diseases using attention embedded MobileNet-V2 model.
Appl. Soft Comput., 2021

Pyramid Co-Attention Compare Network for Few-Shot Segmentation.
IEEE Access, 2021

Compare Network with Task-dependent Embeddings for Few-shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A self-adaptive classification method for plant disease detection using GMDH-Logistic model.
Sustain. Comput. Informatics Syst., 2020

Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System.
Sensors, 2020

Neural embedding collaborative filtering for recommender systems.
Neural Comput. Appl., 2020

Identifying plant diseases using deep transfer learning and enhanced lightweight network.
Multim. Tools Appl., 2020

Composing recipes based on nutrients in food in a machine learning context.
Neurocomputing, 2020

Intelligent monitoring method of water quality based on image processing and RVFL-GMDH model.
IET Image Process., 2020

A novel data-driven robust framework based on machine learning and knowledge graph for disease classification.
Future Gener. Comput. Syst., 2020

Using deep transfer learning for image-based plant disease identification.
Comput. Electron. Agric., 2020

A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters.
IEEE Access, 2020

Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Constrained Energy-Cost-Aware Workflow Scheduling for Cloud Environment.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition.
IEEE Trans. Cybern., 2019

A Common Topic Transfer Learning Model for Crossing City POI Recommendations.
IEEE Trans. Cybern., 2019

A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications.
PLoS Comput. Biol., 2019

Block-based automatic road defect recognition approach.
J. Electronic Imaging, 2019

On solutions and representations of spiking neural P systems with rules on synapses.
Inf. Sci., 2019

NASM: Nonlinearly Attentive Similarity Model for Recommendation System via Locally Attentive Embedding.
IEEE Access, 2019

Combining Multiple Feature-Ranking Techniques and Clustering of Variables for Feature Selection.
IEEE Access, 2019

An Economic Operation Analysis Method of Transformer Based on Clustering.
IEEE Access, 2019

Hierarchical Search-Embedded Hybrid Heuristic Algorithm for Two-Dimensional Strip Packing Problem.
IEEE Access, 2019

Dynamic Virtual Machine Number Selection for Processing-Capacity Constrained Workflow Scheduling in Cloud Computing Environments.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

An Improved Hybrid Heuristic Algorithm for Pickup and Delivery Problem with Three-Dimensional Loading Constraints.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Decomposition Based Multi-objective Workflow Scheduling for Cloud Environments.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018
A Petri Nets based Generic Genetic Algorithm framework for resource optimization in business processes.
Simul. Model. Pract. Theory, 2018

Applying triple-block patterns in solving the two-dimensional bin packing problem.
J. Oper. Res. Soc., 2018

A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints.
Eur. J. Oper. Res., 2018

Cost optimization heuristics for deadline constrained workflow scheduling on clouds and their comparative evaluation.
Concurr. Comput. Pract. Exp., 2018

A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP.
Appl. Soft Comput., 2018

Trend following in financial time series with multi-objective optimization.
Appl. Soft Comput., 2018

The Line Scan Camera Calibration Based on Space Rings Group.
IEEE Access, 2018

Mining of Nutritional Ingredients in Food for Disease Analysis.
IEEE Access, 2018

Design and Implementation of Intelligent Logistics Distribution System for the Real-world Problem.
Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Apply Feature Expression Based On Food Energy And Als Algorithm To Recipe Concocting.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Deep learning for Ethiopian Ge'ez script optical character recognision.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Piezoelectric Actuated Phase Shifter Based on External Laser Interferometer: Design, Control and Experimental Validation.
Sensors, 2017

A hybrid algorithm for a vehicle routing problem with realistic constraints.
Inf. Sci., 2017

The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm.
Appl. Intell., 2017

A new classification algorithm for the bank customer credit rating.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

A Study of Distributed MOEA/D Based on Spark Framework.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

2016
Editorial.
Neural Process. Lett., 2016

Run-based exception prediction for workflows.
J. Syst. Softw., 2016

A hybrid algorithm based on variable neighbourhood for the strip packing problem.
J. Comb. Optim., 2016

Tabu search for the real-world carpooling problem.
J. Comb. Optim., 2016

A novel forecasting method based on multi-order fuzzy time series and technical analysis.
Inf. Sci., 2016

A priority heuristic for the guillotine rectangular packing problem.
Inf. Process. Lett., 2016

Learning Markov Blanket Bayesian Network for Big Data in MapReduce.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A new time-dependent algorithm for post enrolment-based course timetabling problem.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

Text Categorization via Attribute Distance Weighted k-Nearest Neighbor Classification.
Proceedings of the 2016 International Conference on Information Technology, 2016

Discrete differential evolutionary algorithm for job-shop scheduling problem with minimizing total weighted tardiness.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A New Local Search-Based Multiobjective Optimization Algorithm.
IEEE Trans. Evol. Comput., 2015

A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression.
Knowl. Based Syst., 2015

A decision-making framework for precision marketing.
Expert Syst. Appl., 2015

A variable neighborhood search for the capacitated vehicle routing problem with two-dimensional loading constraints.
Eur. J. Oper. Res., 2015

Modified differential evolution algorithm using a new diversity maintenance strategy for multi-objective optimization problems.
Appl. Intell., 2015

A Stable Matching-Based Selection and Memory Enhanced MOEA/D for Evolutionary Dynamic Multiobjective Optimization.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Stock Index Trend Analysis Based on Signal Decomposition.
IEICE Trans. Inf. Syst., 2014

A hybrid heuristic algorithm for the 2D variable-sized bin packing problem.
Eur. J. Oper. Res., 2014

Evolutionary Computation with Multi-variates Hybrid Multi-order Fuzzy Time Series for Stock Forecasting.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
A Binary Search Heuristic Algorithm Based on Randomized Local Search for the Rectangular Strip-Packing Problem.
INFORMS J. Comput., 2013

A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints.
Eur. J. Oper. Res., 2013

A Bayesian Investment Model for Online P2P Lending.
Proceedings of the Frontiers in Internet Technologies, 2013

A Novel Stock Forecasting Model based on Fuzzy Time Series and Genetic Algorithm.
Proceedings of the International Conference on Computational Science, 2013

2012
A heuristic block-loading algorithm based on multi-layer search for the container loading problem.
Comput. Oper. Res., 2012

A hybrid simulated annealing metaheuristic algorithm for the two-dimensional knapsack packing problem.
Comput. Oper. Res., 2012

Extended local search algorithm based on nonlinear programming for two-dimensional irregular strip packing problem.
Comput. Oper. Res., 2012

2011
A clique-based algorithm for constructing feasible timetables.
Optim. Methods Softw., 2011

A fast layer-based heuristic for non-guillotine strip packing.
Expert Syst. Appl., 2011

A two-stage intelligent search algorithm for the two-dimensional strip packing problem.
Eur. J. Oper. Res., 2011

Extended guided tabu search and a new packing algorithm for the two-dimensional loading vehicle routing problem.
Comput. Oper. Res., 2011

2010
Vertical bagging decision trees model for credit scoring.
Expert Syst. Appl., 2010

A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems.
Eur. J. Oper. Res., 2010

Research on Game Algorithm for Zhang Chess.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
A least wasted first heuristic algorithm for the rectangular packing problem.
Comput. Oper. Res., 2009

A hybrid simulated annealing algorithm for container loading problem.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A simulated annealing algorithm with a new neighborhood structure for the timetabling problem.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
A New Credit Scoring Method Based on Rough Sets and Decision Tree.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
A Comparison Study of Credit Scoring Models.
Proceedings of the Third International Conference on Natural Computation, 2007

Building Behavior Scoring Model Using Genetic Algorithm and Support Vector Machines.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
A new heuristic recursive algorithm for the strip rectangular packing problem.
Comput. Oper. Res., 2006

2005
An effective hybrid algorithm for the problem of packing circles into a larger containing circle.
Comput. Oper. Res., 2005

A Meta-heuristic Algorithm for the Strip Rectangular Packing Problem.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Hybrid Mining Model Based on Neural Network and Kernel Smoothing Technique.
Proceedings of the Computational Science, 2005

A Hybrid Heuristic Algorithm for the Rectangular Packing Problem.
Proceedings of the Computational Science, 2005

An improved shifting bottleneck algorithm for job shop scheduling problem.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

2004
Packing Different-sized Circles into a Rectangular Container Using Simulated Annealing Algorithm.
Proceedings of the International Conference on Computational Intelligence, 2004

Application of Neural Networks in Financial Data Mining.
Proceedings of the International Conference on Computational Intelligence, 2004

A Simulated Annealing Algorithm for the Circles Packing Problem.
Proceedings of the Computational Science, 2004

2003
Task Clustering and Scheduling to Multiprocessors with Duplication.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2002
Distributing and Scheduling Divisible Task on Parallel Communicating Processors.
J. Comput. Sci. Technol., 2002

An Algorithm Based on Tabu Search for Satisfiability Problem.
J. Comput. Sci. Technol., 2002

2000
An efficient method for expressing active object in C++.
ACM SIGSOFT Softw. Eng. Notes, 2000

1999
A framework of auto-adapting distributed object for mobile computing.
J. Comput. Sci. Technol., 1999

1993
A methodology for mapping and partitioning arbitrary <i>n</i> -dimensional nested loops into 2-dimensional VLSI arrays.
J. Comput. Sci. Technol., 1993

1989
SN-2: a data acquisition and processing system.
ACM SIGPLAN Notices, 1989


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