Min Fang

According to our database1, Min Fang authored at least 84 papers between 1998 and 2024.

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Bibliography

2024
Joint Feature Generation and Open-set Prototype Learning for generalized zero-shot open-set classification.
Pattern Recognit., March, 2024

Prototype selection for multi-label data based on label correlation.
Neural Comput. Appl., February, 2024

Denoising matrix factorization for high-dimensional time series forecasting.
Neural Comput. Appl., January, 2024

2023
Dual dimensionality reduction on instance-level and feature-level for multi-label data.
Neural Comput. Appl., December, 2023

A hybrid machine learning approach for hypertension risk prediction.
Neural Comput. Appl., July, 2023

GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Deep Transfer Fusion Model for Recognition of Acute Lymphoblastic Leukemia with Few Samples.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases.
Sustain. Comput. Informatics Syst., 2022

Generalized zero-shot domain adaptation with target unseen class prototype learning.
Neural Comput. Appl., 2022

An active unseen sample selection framework for generalized zero-shot classification.
Int. J. Mach. Learn. Cybern., 2022

Knowledge-aware hierarchical attention network for recommendation.
J. Intell. Fuzzy Syst., 2022

Partial Label Dimensional Reduction via Semantic Difference Information and Manifold Regularization.
Int. J. Artif. Intell. Tools, 2022

Automated Deep Aberration Detection from Chromosome Karyotype Images.
CoRR, 2022

ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Generalized zero-shot classification via iteratively generating and selecting unseen samples.
Signal Process. Image Commun., 2021

Low-rank embedded orthogonal subspace learning for zero-shot classification.
J. Vis. Commun. Image Represent., 2021

Bias alleviating generative adversarial network for generalized zero-shot classification.
Image Vis. Comput., 2021

Residual contagion in emerging markets: 'herd' and 'alarm' effects in informatization.
Electron. Commer. Res., 2021

A mobility compensation method for drones in SG-eIoT.
Digit. Commun. Networks, 2021

Research on the integration of heterogeneous information resources in university management informatization based on data mining algorithms.
Comput. Intell., 2021

Capacity Improvement in Reconfigurable Intelligent Surface Assisted MIMO Communications.
IEEE Access, 2021

Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate.
Proceedings of the Intelligent Computing Theories and Application, 2021

High-Performance Smart Contracts Concurrent Execution for Permissioned Blockchain Using SGX.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Understanding Multi-channel Customer Behavior in Retail.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Learning discriminative and meaningful samples for generalized zero shot classification.
Signal Process. Image Commun., 2020

Zero shot learning based on class visual prototypes and semantic consistency.
Pattern Recognit. Lett., 2020

A novel edge-enabled SLAM solution using projected depth image information.
Neural Comput. Appl., 2020

Learning domain invariant unseen features for generalized zero-shot classification.
Knowl. Based Syst., 2020

RSU-Assisted Traffic-Aware Routing Based on Reinforcement Learning for Urban Vanets.
IEEE Access, 2020

2019
Prototype adjustment for zero shot classification.
Signal Process. Image Commun., 2019

Zero shot learning by partial transfer from source domain with L2, 1 norm constraint.
J. Vis. Commun. Image Represent., 2019

基于态势评估技术的移动机器人局部路径规划 (Local Path Planning of Mobile Robot Based on Situation Assessment Technology).
计算机科学, 2019

Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network.
IEEE Internet Things J., 2019

A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

Obstacle Avoidance by DSmT for Mobile Robot in Unknown Environment.
Proceedings of the 2019 4th International Conference on Automation, 2019

2018
Reinforcement Learning Based Mobility Adaptive Routing for Vehicular Ad-Hoc Networks.
Wirel. Pers. Commun., 2018

MIMO Radar Waveform Design With PAPR and Similarity Constraints.
IEEE Trans. Signal Process., 2018

Learning unseen visual prototypes for zero-shot classification.
Knowl. Based Syst., 2018

Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis.
IEEE Access, 2018

Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information.
Proceedings of the Intelligent Computing Theories and Application, 2018

Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Domain adaptation from RGB-D to RGB images.
Signal Process., 2017

Learning Coupled Classifiers with RGB images for RGB-D object recognition.
Pattern Recognit., 2017

Image classification by semisupervised sparse coding with confident unlabeled samples.
J. Electronic Imaging, 2017

Zero-shot classification by transferring knowledge and preserving data structure.
Neurocomputing, 2017

Clustered intrinsic label correlations for multi-label classification.
Expert Syst. Appl., 2017

An Approach for Representing Answer Sets in Natural Language.
Proceedings of the Declarative Programming and Knowledge Management, 2017

2016
Mathematical Modeling of Ultrasonic Gas Flow Meter Based on Experimental Data in Three Steps.
IEEE Trans. Instrum. Meas., 2016

Robust label compression for multi-label classification.
Knowl. Based Syst., 2016

2015
Feature Patterns Extraction-Based Amplitude/Frequency Modulation Model for Vortex Flow Sensor Output Signal.
IEEE Trans. Instrum. Meas., 2015

Supervised transfer kernel sparse coding for image classification.
Pattern Recognit. Lett., 2015

Multi-source transfer learning based on label shared subspace.
Pattern Recognit. Lett., 2015

Projected Transfer Sparse Coding for cross domain image representation.
J. Vis. Commun. Image Represent., 2015

Multi-label learning with discriminative features for each label.
Neurocomputing, 2015

Dependence maximization based label space dimension reduction for multi-label classification.
Eng. Appl. Artif. Intell., 2015

2014
Frequency-Variance Based Antistrong Vibration Interference Method for Vortex Flow Sensor.
IEEE Trans. Instrum. Meas., 2014

Gas-Liquid Two-Phase Flow Correction Method for Digital CMF.
IEEE Trans. Instrum. Meas., 2014

Collaborative multi-agent reinforcement learning based on a novel coordination tree frame with dynamic partition.
Eng. Appl. Artif. Intell., 2014

Spinal physiological motion simulator and compensation method for a robotic spinal surgical system.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

The adaptive control for the Outdoor Mobile Robot with diameter-variable wheels.
Proceedings of the IEEE International Conference on Information and Automation, 2014

Multi-Label Learning Based on Label Entropy Guided Clustering.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2013
An improved multiple-attractor cellular automata classifier with a tree frame based on CART.
Comput. Math. Appl., 2013

2012
A Heuristic Reinforcement Learning Based on State Backtracking Method.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Research on the classifier with the tree frame based on multiple attractor cellular automaton.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Dynamic Partition of Collaborative Multiagent Based on Coordination Trees.
Proceedings of the Intelligent Autonomous Systems 12, 2012

2011
Validation and prediction of traditional Chinese physical operation on spinal disease using multiple deformation models.
Int. J. Comput. Assist. Radiol. Surg., 2011

2010
Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics.
BMC Bioinform., 2010

An instances sampling approach based on cellular automata for ensemble learning.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
An advanced hybrid cutting method with an improved state machine for surgical simulation.
Comput. Medical Imaging Graph., 2009

The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

2008
A Novel Multiple Classifiers Integration Algorithm with Pruning Function.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices.
SIAM J. Matrix Anal. Appl., 2007

Generalized L-KKM type theorems in topological spaces with an application.
Comput. Math. Appl., 2007

Tracking of Structured Light for Depth Measurement Using CNN-based Dynamic Programming.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2007

Multi-focus Color Image Fusion Based on SWT and IHS.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Modified method for determining an approximate solution of the Fredholm-Volterra integral equations by Taylor's expansion.
Int. J. Comput. Math., 2006

An Architecture of Process-centered Context-aware Software Development Environment.
Proceedings of the 10th International Conference on CSCW in Design, 2006

A Template Engineering Based Framework for Automated Software Development.
Proceedings of the 10th International Conference on CSCW in Design, 2006

2005
Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem.
SIAM J. Matrix Anal. Appl., 2005

2004
Effective Elements of Integrated Software Development Process Supported Platform.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004

1998
Computing Iceberg Queries Efficiently.
Proceedings of the VLDB'98, 1998


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