已发表成果:
WOK 论文 150 篇;中文核心 10 篇;其它论文 3 篇;图书及章节 2 本;
CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs
Df-Lsh: An Efficient Double Filters Locality Sensitive Hashing for Recommendation Retrieval
Data-driven intelligent method for detection of electricity theft
Bert-Flat-Crf: A Parallel Model for Chinese Policy Named Entity Recognition
CFGM: An algorithm for closed frequent graph patterns mining
Machine learning techniques for stock price prediction and graphic signal recognition
Solving 3D packing problem using Transformer network and reinforcement learning
Multiscale Attention Networks for Pavement Defect Detection
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair
Segmentation of medical images using an attention embedded lightweight network
An entity-weights-based convolutional neural network for large-sale complex knowledge embedding
Learning knowledge graph embeddings by deep relational roto-reflection
A power line loss analysis method based on boost clustering
Complex graph convolutional network for link prediction in knowledge graphs
MS-DNet: A mobile neural network for plant disease identification
Mobile convolution neural network for the recognition of potato leaf disease images
Comparative evaluation of task priorities for processing and bandwidth capacities-based workflow scheduling for cloud environment
Lightweight Inception Networks for the Recognition and Detection of Rice Plant Diseases
Stacking ensemble model of deep learning for plant disease recognition
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
Weakly-supervised learning method for the recognition of potato leaf diseases
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification
A hybrid improved LSTM-CNN model for Chinese stock price trend prediction
Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph
Reinforcement Learning Heuristic Algorithm for Solving the Two-dimensional Strip Packing Problem
Identifying crop diseases using attention embedded MobileNet-V2 model
Crop pest recognition using attention-embedded lightweight network under field conditions
Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis
Multi-scale U-like network with attention mechanism for automatic pancreas segmentation
Forecasting daily stock trend using multi-filter feature selection and deep learning
Attention embedded lightweight network for maize disease recognition
Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning
Feature grouping and selection: A graph-based approach
A cognitive vision method for the detection of plant disease images
AutoFM: an efficient factorization machine model via probabilistic auto-encoders
Research of power load prediction based on boost clustering
A pragmatic convolutional bagging ensemble learning for recognition of Farsi handwritten digits
Neural Embedding Singular Value Decomposition for Collaborative Filtering
Automatic identification of commodity label images using lightweight attention network
Intelligent monitoring method of water quality based on image processing and RVFL-GMDH model
A self-adaptive classification method for plant disease detection using GMDH-Logistic model
Composing recipes based on nutrients in food in a machine learning context
Constrained Energy-Cost-Aware Workflow Scheduling for Cloud Environment
Using deep transfer learning for image-based plant disease identification
Detection of rice plant diseases based on deep transfer learning
Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification
A novel data-driven robust framework based on machine learning and knowledge graph for disease classification
A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters
Neural embedding collaborative filtering for recommender systems
Recognition of plant leaf diseases based on computer vision
Identifying plant diseases using deep transfer learning and enhanced lightweight network
Analysis and comparison of machine learning classifiers and deep neural networks techniques for recognition of Farsi handwritten digits
KGEL: A novel end-to-end embedding learning framework for knowledge graph completion
Towards decomposition based multi-objective workflow scheduling for big data processing in clouds
Dynamic virtual machine number selection for processing-capacity constrained workflow scheduling in cloud computing environments
An improved hybrid heuristic algorithm for pickup and delivery problem with three-dimensional loading constraints
Fruit market trend forecast using kmeans-based deep learning models
Research on two-dimensional cutting problem with defects
On solutions and representations of spiking neural P systems with rules on synapses
Regression and extrapolation guided optimization for production-distribution with ship-buy-exchange options
Decomposition based multi-objective workflow scheduling for cloud environments
Block-based automatic road defect recognition approach
A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications
NASM: Nonlinearly Attentive Similarity Model for Recommendation System via Locally Attentive Embedding
An Economic Operation Analysis Method of Transformer Based on Clustering
Hierarchical Search-Embedded Hybrid Heuristic Algorithm for Two-Dimensional Strip Packing Problem
Combining Multiple Feature-Ranking Techniques and Clustering of Variables for Feature Selection
Exploration of Secured Workflow Scheduling Models in Cloud Environment: A Survey
Apply Feature Expression Based on Food Energy and Als Algorithm to Recipe Concocting
Design and Implementation of Intelligent Logistics Distribution System for the Real-world Problem
A Common Topic Transfer Learning Model for Crossing City POI Recommendations
Mining of Nutritional Ingredients in Food for Disease Analysis
A Petri Nets based Generic Genetic Algorithm framework for resource optimization in business processes
The Study of Customer Split-Flow Based on Data Mining
Trend following in financial time series with multi-objective optimization
A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP
A Study of Distributed MOEA/D Based on Spark Framework
Cost optimization heuristics for deadline constrained workflow scheduling on clouds and their comparative evaluation
Applying triple-block patterns in solving the two-dimensional bin packing problem
MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition
A hybrid swarm algorithm based on ABC and AIS for 2L-HFCVRP
A new classification algorithm for the bank customer credit rating
A hybrid algorithm for a vehicle routing problem with realistic constraints
The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm
Learning markov blanket Bayesian network for big data in mapReduce
Three-stage heuristic algorithm for three-dimensional irregular packing problem
A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints
A novel forecasting method based on multi-order fuzzy time series and technical analysis
A hybrid algorithm based on variable neighbourhood for the strip packing problem
A new time-dependent algorithm for post enrolment-based course timetabling problem
Tabu search for the real-world carpooling problem
Run-based exception prediction for workflows
A stable matching-based selection and memory enhanced MOEA/D for evolutionary dynamic multiobjective optimization
A priority heuristic for the guillotine rectangular packing problem
Modified differential evolution algorithm using a new diversity maintenance strategy for multi-objective optimization problems
A variable neighborhood search for the capacitated vehicle routing problem with two-dimensional loading constraints
A decision-making framework for precision marketing
A new local search-based multiobjective optimization algorithm
Evolutionary computation with multi-variates hybrid multi-order fuzzy time series for stock forecasting
A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
A hybrid heuristic algorithm for the 2D problem variable-sized bin packing
Stock index trend analysis based on signal decomposition
A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints
A binary search heuristic algorithm based on randomized local search for the rectangular strip-packing problem
A multi-layer heuristic search algorithm for three dimensional container loading problem
A heuristic block-loading algorithm based on multi-layer search for the container loading problem
A hybrid simulated annealing metaheuristic algorithm for the two-dimensional knapsack packing problem
Breeding value estimate based on support vector machine
A two-stage intelligent search algorithm for the two-dimensional strip packing problem
A fast layer-based heuristic for non-guillotine strip packing
A clique-based algorithm for constructing feasible timetables
Vertical bagging decision trees model for credit scoring
Simulated annealing for the vehicle routing problem with two-dimensional loading constraints
Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree
Research on game algorithm for Zhang Chess
An efficient algorithm for frequent itemsets in data mining
Exchange rate prediction through ANN based on Kernel Regression
A hybrid simulated annealing algorithm for the three-dimensional packing problem
Discrete no-fit polygon, a simple structure for the 2-D irregular packing problem
A least wasted first heuristic algorithm for the rectangular packing problem
A new algorithm for frequent itemsets mining based on apriori and FP-tree
A simulated annealing algorithm with a new neighborhood structure for the timetabling problem
A heuristic algorithm for the vehicle routing problem with loading constraints
Bricklaying heuristic algorithm for the orthogonal rectangular Packing problem
A new credit scoring method based on rough sets and decision tree
A decision tree scoring model based on genetic algorithm and K-means algorithm
An efficient frequent patterns mining algorithm based on Apriori algorithm and the FP-tree structure
A new approach based on a rough set and a decision tree to bank customer credit evaluation
A hybrid credit scoring model based on genetic programming and support vector machines
Combinational heuristic algorithm for the three-dimensional packing problem
Improved heuristic recursive strategy based on genetic algorithm for the strip rectangular packing problem
Financial forecasting using pattern modeling and recognition system based on kernel regression
Building behavior scoring model using genetic algorithm and support vector machines
A modified genetic programming for behavior scoring problem
A comparison study of credit scoring models
A new heuristic recursive algorithm for the strip rectangular packing problem
An effective hybrid algorithm for the problem of packing circles into a larger containing circle
Personified annealing algorithm for circles packing problem
Fast heuristic algorithm for job shop scheduling problem
An improved genetic algorithm for the orthogonal packing of rectangles
An improved shifting bottleneck algorithm for job shop scheduling problem
A hybrid mining model based on neural network and kernel smoothing technique
A hybrid heuristic algorithm for the rectangular packing problem
A meta-heuristic algorithm for the strip rectangular packing problem
A simulated annealing algorithm for the circles packing problem
求解二维装箱问题的强化学习启发式算法
软件学报,1000-9825,2021-12-08.基于虚拟现实的人体时空域运动信息捕捉仿真
计算机仿真,1006-9348,2021-08-15.基于可信密码模块的网络潜在攻击挖掘研究
计算机仿真,1006-9348,2021-07-15.用于二维不规则排样的离散临界多边形模型
软件学报 ,1000-9825 ,2009.求解三维装箱问题的混合模拟退火算法
计算机学报 ,0254-4164 ,2009.求解矩形Packing问题的砌墙式启发式算法
计算机学报,0254-4164,2008-03-15.三维装箱问题的组合启发式算法
软件学报,1000-9825,2007-09-15.求解矩形装箱问题的一种近似算法
计算机工程,1000-3428,2007-05-05.基于模糊修正的金融预测
计算机工程与应用,1002-8331,2005-09-01.求解难可满足性问题的混合算法
小型微型计算机系统,1000-1220,2003-08-21.基于遗传算法求解实际车辆调度问题
电脑知识与技术,1009-3044,2012.人机丈棋游戏算法研究
计算机工程与科学,1007-130X,2008-11-15.求解作业车间调度问题的快速启发式算法
计算机集成制造系统,1006-5911,2005-02-25.算法设计与分析. (教材 ). 国防工业出版社, 2009年08月.
算法设计与分析:高级教程. (教材 ). 国防工业出版社, 2007年02月.