Yunming Ye

发表

Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs

Feng Liu, Yunming Ye, Xutao Li, 2017, PAKDD.

Mining Textual Stream with Partial Labeled Instances Using Ensemble Framework

Yunming Ye, Yan Li, Jingjing Chen, 2014 .

Fuzzy soft subspace clustering method for gene co-expression network analysis

Q. Wang, J. Huang, Shengzhong Feng, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Title A Changing Window Approach to Exploring Gene ExpressionPatterns

Yunming Ye, Q. Wang, 2008 .

A Deep Learning Approach to Nightfire Detection based on Low-Light Satellite

Xutao Li, Yunming Ye, Yue Wang, 2021, Computer Science & Information Technology (CS & IT).

Exploiting Word Cluster Information for Unsupervised Feature Selection

M. Ng, J. Huang, Yunming Ye, 2010, PRICAI.

SNP Selection and Classification of Genome-Wide SNP Data Using Stratified Sampling Random Forests

M. Ng, Yunming Ye, Qingyao Wu, 2012, IEEE Transactions on NanoBioscience.

NSS-AKmeans: An Agglomerative Fuzzy K-means clustering method with automatic selection of cluster number

Yunming Ye, Xiaofei Xu, Yanfeng Zhang, 2010, 2010 2nd International Conference on Advanced Computer Control.

Co-transfer learning via joint transition probability graph based method

M. Ng, Yunming Ye, Qingyao Wu, 2012, CDKD '12.

An improved random forest classifier for image classification

Yunming Ye, Lei Nie, Baoxun Xu, 2012, 2012 IEEE International Conference on Information and Automation.

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Huanming Yang, R. Eils, Xin Liu, 2018, bioRxiv.

An Energy-Based Generative Adversarial Forecaster for Radar Echo Map Extrapolation

Yunming Ye, Jia Liu, Xutao Li, 2022, IEEE Geoscience and Remote Sensing Letters.

MultiFacTV: module detection from higher-order time series biological data

M. Ng, Xutao Li, Yunming Ye, 2013, BMC Genomics.

2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012

Xiaohua Hu, Yunming Ye, Majid Sarrafzadeh, 2012, IEEE International Conference on Bioinformatics and Biomedicine.

A Decision Cluster Classification Model with Model Selection Strategy

Wu Chen, Yunming Ye, Zhaocai Sun, 2012 .

Learning Discriminative Subspace Models for Weakly Supervised Face Detection

Yunming Ye, Xiaofeng Zhang, Qiaoying Huang, 2017, IEEE Transactions on Industrial Informatics.

A NEW APPROACH OF GPU-ACCELERATED STOCHASTIC GRADIENT DESCENT METHOD FOR MATRIX FACTORIZATION

Xutao Li, Yunming Ye, Jiajie Lu, 2019 .

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification

Raymond Y. K. Lau, Yunming Ye, Xutao Li, 2020, Remote. Sens..

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction

Xutao Li, Zhichao Huang, Yunming Ye, 2022, Neural Networks.

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification

Hao Jiang, Xutao Li, Shanshan Feng, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Multisensor Fusion and Explicit Semantic Preserving-Based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval

Xutao Li, Zhichao Huang, Yunming Ye, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Weighting Method for Feature Selection in K-Means

Yunming Ye, Joshua Zhexue Huang, Jun Xu, 2007 .

TFG-Net: Tropical Cyclone Intensity Estimation from a Fine-grained perspective with the Graph convolution neural network

Xutao Li, Zhichao Huang, Yunming Ye, 2023, Eng. Appl. Artif. Intell..

A Convolutional Neural Network-Based Relative Radiometric Calibration Method

Xutao Li, Xiuqing Hu, Yunming Ye, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A feature group weighting method for subspace clustering of high-dimensional data

Yunming Ye, Joshua Zhexue Huang, Xiaofei Xu, 2012, Pattern Recognit..

Mining from distributed and abstracted data

Yunming Ye, Xiaofeng Zhang, William Kwok-Wai Cheung, 2016, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Yunming Ye, Zhenguo Li, Huifeng Guo, 2017, IJCAI.

Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

Yunming Ye, Xiaofei Xu, Xutao Li, 2017, AAAI.

A multi-task learning model with adversarial data augmentation for classification of fine-grained images

Yunming Ye, Xutao Li, Yan Fu, 2020, Neurocomputing.

An area-adaptive multi-level layout for social network visualisation

Xiaolin Du, Yunming Ye, Yueping Li, 2016, Int. J. Comput. Appl. Technol..

SGP: Sampling Big Social Network Based on Graph Partition

Xiaolin Du, Yunming Ye, Yueping Li, 2015, 2015 International Conference on Service Science (ICSS).

A Fast Multi-level Layout for Social Network Visualization

Xiaolin Du, Yunming Ye, Yueping Li, 2014, MUE 2014.

Social Network Visualization Oriented Multi-level Layout Method

Xiaolin Du, Yunming Ye, Yueping Li, 2014 .

A New Relational Networks Sampling Algorithm Using Topologically Divided Stratums

Xiaolin Du, Yunming Ye, Yueping Li, 2014 .

A New Social Network Sampling Algorithm Based on Temperature Conduction Model

Yunming Ye, Yueping Li, Xiaohui Huang, 2013, J. Softw..

Fast Computation of Modularity in Agglomerative Clustering Methods for Community Discovery

Yunming Ye, Yueping Li, Eric Ke Wang, 2011 .

Xiaolin Du, Yunming Ye, Yueping Li, 2011, J. Softw..

Classification of Cardiotocogram Data using Neural Network based Machine Learning Technique

Yunming Ye, Joshua Zhexue Huang, Xiaofei Xu, 2012 .

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Yunming Ye, Roland Eils, Fang Chen, 2018, Nature Communications.

Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis

Yunming Ye, Qiang Wang, Joshua Zhexue Huang, 2008, 2008 The Ninth International Conference on Web-Age Information Management.

S-Canopy:A feature-based clustering algorithm for supplier categorization

Yunming Ye, Zengyou He, Shengchun Deng, 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

Hybrid weighted random forests for classifying very high-dimensional data

Yunming Ye, Graham J. Williams, Baoxun Xu, 2012 .

A probabilistic approach towards an unbiased semi-supervised cluster tree

Yunming Ye, Xiaowen Chu, Zhaocai Sun, 2020, Knowl. Based Syst..

Cotransfer Learning Using Coupled Markov Chains with Restart

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, IEEE Intelligent Systems.

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning

Ling Chen, Yunming Ye, Qingyao Wu, 2010, ADMA.

Detection of Oil Spill Through Fully Convolutional Network

Yunming Ye, Yan Li, Xiaofei Yang, 2017, GSKI.

CLUSTERING AND CLUSTER VALIDATION IN DATA MINING

Yunming Ye, Hongqiang Rong, Qiming Huang, 2003 .

Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation

Yunming Ye, Xiaohui Huang, Haijun Zhang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A Topic Detection Approach Through Hierarchical Clustering on Concept Graph

Yunming Ye, Shengchun Deng, Xutao Li, 2013 .

Stratified sampling for feature subspace selection in random forests for high dimensional data

Yunming Ye, Michael K. Ng, Qingyao Wu, 2013, Pattern Recognit..

Locality Reconstruction Models for Book Representation

Yunming Ye, Shuang Wang, Xiaofei Xu, 2018, IEEE Transactions on Knowledge and Data Engineering.

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction

Xutao Li, Shanshan Feng, Yunming Ye, 2022, Inf. Sci..

Interpretable local flow attention for multi-step traffic flow prediction.

Xutao Li, Yunming Ye, Shanshan Feng, 2023, Neural networks : the official journal of the International Neural Network Society.

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm

M. Ng, Yunming Ye, Qingyao Wu, 2013, Knowledge and Information Systems.

Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces

Yunming Ye, Joshua Zhexue Huang, Hongbo Li, 2008, Int. J. Comput. Linguistics Chin. Lang. Process..

MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product

Yunming Ye, Xutao Li, Michael K. Ng, 2020, IJCAI.

PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting

Xutao Li, Yunming Ye, Yuxi Sun, 2021, Knowl. Based Syst..

TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data

Yunming Ye, Joshua Zhexue Huang, Xiaofei Xu, 2013, IEEE Transactions on Knowledge and Data Engineering.

Heterogeneous Domain Adaptation via Soft Transfer Network

Yunming Ye, Yu Zhang, Xutao Li, 2019, ACM Multimedia.

A memory network based end-to-end personalized task-oriented dialogue generation

Yunming Ye, Bowen Zhang, Zhongjie Wang, 2020, Knowl. Based Syst..

Learning Personalized End-to-End Task-Oriented Dialogue Generation

Yunming Ye, Bowen Zhang, Xutao Li, 2019, NLPCC.

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network

Yunming Ye, Yu Zhang, Yuan Yao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation

Yunming Ye, Xutao Li, Yu Zhang, 2020, Pattern Recognit..

LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images

Xutao Li, Yunming Ye, Xiaofei Yang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A Dynamic Trust Framework for Opportunistic Mobile Social Networks

Siu-Ming Yiu, Yunming Ye, Yueping Li, 2018, IEEE Transactions on Network and Service Management.

A Graphical Workflow Modeler for Docking Process in Drug Discovery

Yunming Ye, Joshua Zhexue Huang, Qiang Wang, 2009 .

DSKmeans: A new kmeans-type approach to discriminative subspace clustering

Yunming Ye, Xiaohui Huang, Yan Li, 2014, Knowl. Based Syst..

Better Visual Interpretation for Remote Sensing Scene Classification

Xutao Li, Yunming Ye, Shanshan Feng, 2022, IEEE Geoscience and Remote Sensing Letters.

Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

Xutao Li, Yunming Ye, Y. Ban, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Clothes Advertising by Targeting Principal Actors in Video

Yunming Ye, Shuang Wang, Yan Li, 2016, 2016 9th International Conference on Service Science (ICSS).

A novel density peak based semi-supervised clustering algorithm

Yunming Ye, Yan Li, Xutao Li, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Random forest using tree selection method to classify unbalanced data

Yunming Ye, Qiang Wang, Junjie Li, 2012, Digital Image Processing.

An ensemble of decision cluster crotches for classification of high dimensional data

Yunming Ye, Yueping Li, Joshua Zhexue Huang, 2013, Knowl. Based Syst..

A new weighting k-means type clustering framework with an l2-norm regularization

Yunming Ye, Xiaohui Huang, Xiaofei Yang, 2018, Knowl. Based Syst..

State representation modeling for deep reinforcement learning based recommendation

Yunming Ye, Weinan Zhang, Xutao Li, 2020, Knowl. Based Syst..

Hyperspectral Image Classification With Deep Learning Models

Raymond Y. K. Lau, Yunming Ye, Xiaofei Yang, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A Triple Wing Harmonium Model for Movie Recommendation

Yunming Ye, Haijun Zhang, Jingxuan Li, 2016, IEEE Transactions on Industrial Informatics.

Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

Raymond Y. K. Lau, Yunming Ye, Xiaohui Huang, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Visual Grounding in Remote Sensing Images

Xutao Li, Yunming Ye, Jian Kang, 2022, ACM Multimedia.

On Understanding of Spatiotemporal Prediction Model

Xutao Li, Yunming Ye, Shanshan Feng, 2023, IEEE transactions on circuits and systems for video technology (Print).

A Hierarchical Model with Recurrent Convolutional Neural Networks for Sequential Sentence Classification

Yunming Ye, Bowen Zhang, Zhenhua Liu, 2019, NLPCC.

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval

Xutao Li, Shanshan Feng, Yunming Ye, 2021, Knowl. Based Syst..

Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method

Zhihui Li, Xizhao Wang, Xiaojun Chen, 2019, IEEE Transactions on Cybernetics.

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting

Michael K. Ng, Xutao Li, Yunming Ye, 2022, IEEE Transactions on Geoscience and Remote Sensing.

PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting

Yunming Ye, Xutao Li, Chuyao Luo, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting

Yunming Ye, Xutao Li, Yan Li, 2020, IEEE Geoscience and Remote Sensing Letters.

NPDN-3D: A 3D neural partial differential network for spatiotemporal prediction

Xutao Li, Yunming Ye, Shanshan Feng, 2023, Pattern Recognit..

Spatiotemporal prediction in three-dimensional space by separating information interactions

Xutao Li, Yunming Ye, Shanshan Feng, 2022, Applied Intelligence.

The reconstitution predictive network for precipitation nowcasting

Xutao Li, Yunming Ye, Guangning Xu, 2022, Neurocomputing.

ForesTexter: An efficient random forest algorithm for imbalanced text categorization

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning

Hao Jiang, Xutao Li, Yunming Ye, 2022, IJCAI.

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning pdf

Yunming Ye, Shanshan Feng, Rui Ye, 2021, AAAI.

Prototype Completion with Primitive Knowledge for Few-Shot Learning

Yunming Ye, Zhichao Huang, Baoquan Zhang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning

Xutao Li, Shanshan Feng, Yunming Ye, 2022, arXiv.org.

Road Detection via Deep Residual Dense U-Net

Xiaofeng Zhang, Yunming Ye, Xutao Li, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Multi-label collective classification via Markov chain based learning method

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Cluster tree based multi-label classification for protein function prediction

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Big data analytics for security and criminal investigations

Raymond Y. K. Lau, Yunming Ye, Chunping Li, 2017, WIREs Data Mining Knowl. Discov..

Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge

Yunming Ye, Min Yang, Xiaofei Xu, 2020, ACL.

Content-based movie recommending using a Triple Wing Harmonium model

Yunming Ye, Haijun Zhang, Jingxuan Li, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

A Semi-supervised Clustering Method through Bottleneck Distance Exploration

Ke Wang, Yunming Ye, Yuan Yao, 2016, 2016 9th International Conference on Service Science (ICSS).

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

Yunming Ye, Michael K. Ng, Qingyao Wu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

OpinionRings: Inferring and visualizing the opinion tendency of socially connected users

Raymond Y. K. Lau, Xiaolin Du, Yunming Ye, 2015, Decis. Support Syst..

Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media

Raymond Y. K. Lau, Xiaolin Du, Yunming Ye, 2015, Multimedia Tools and Applications.

AM-ConvGRU: a spatio-temporal model for typhoon path prediction

Xutao Li, Xiuqing Hu, Yunming Ye, 2022, Neural Computing and Applications.

Location-Refining neural network: A new deep learning-based framework for Heavy Rainfall Forecast

Xutao Li, Yunming Ye, Chuyao Luo, 2022, Comput. Geosci..

Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis

Yunming Ye, Xutao Li, Xiaofei Xu, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

ECDNet: A bilateral lightweight cloud detection network for remote sensing images

Xutao Li, Shanshan Feng, Yunming Ye, 2022, Pattern Recognit..

GCDB-UNet: A novel robust cloud detection approach for remote sensing images

Xutao Li, Yunming Ye, Y. Ban, 2021, Knowl. Based Syst..

Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift

Raymond Y. K. Lau, Feng Liu, Yunming Ye, 2016, Inf. Sci..

CPU versus GPU: which can perform matrix computation faster—performance comparison for basic linear algebra subprograms

Xiaofeng Zhang, Yunming Ye, Feng Li, 2018, Neural Computing and Applications.

MultiRank: co-ranking for objects and relations in multi-relational data

Yunming Ye, Michael K. Ng, Xutao Li, 2011, KDD.

Time series k-means: A new k-means type smooth subspace clustering for time series data

Raymond Y. K. Lau, Nan Jiang, Yunming Ye, 2016, Inf. Sci..

A comparative study of feature weighting methods for document co-clustering

Yunming Ye, Yan Li, Biao Wu, 2011, Int. J. Inf. Technol. Commun. Convergence.

A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media

Raymond Y. K. Lau, Yunming Ye, Yunqing Xia, 2014, IEEE Computational Intelligence Magazine.

Multi-roles Graph Based Extractive Summarization

Yunming Ye, Feng Li, Xiaofei Xu, 2017, ICONIP.

MultiComm: Finding Community Structure in Multi-Dimensional Networks

Yunming Ye, Michael K. Ng, Xutao Li, 2014, IEEE Transactions on Knowledge and Data Engineering.

Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces

Yunming Ye, Qiang Wang, Graham J. Williams, 2012, Int. J. Data Warehous. Min..

Learn to abstract via concept graph for weakly-supervised few-shot learning

Yunming Ye, Baoquan Zhang, Xutao Li, 2021, Pattern Recognit..

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling pdf

Feng Liu, Yunming Ye, Xutao Li, 2018, ArXiv.

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions

Xutao Li, Yunming Ye, Shanshan Feng, 2023, Neural Networks.

Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data

Yunming Ye, Graham J. Williams, Joshua Zhexue Huang, 2012, PAKDD.

An Improved Random Forest Classifier for Text Categorization

Yunming Ye, Jiefeng Cheng, Baoxun Xu, 2012, J. Comput..

Short Text Classification: A Survey

Xiaolin Du, Yunming Ye, Xiaohui Huang, 2014, J. Multim..

A Deep Cross-Modal Hashing Technique for Large-Scale SAR and VHR Image Retrieval

Xutao Li, Shanshan Feng, Yunming Ye, 2021, 2021 SAR in Big Data Era (BIGSARDATA).

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction

Xutao Li, Yunming Ye, Guangning Xu, 2021, Pattern Recognit. Lett..

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification pdf

Yunming Ye, Rui Ye, Xutao Li, 2021, IEEE Transactions on Geoscience and Remote Sensing.

HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search

Yunming Ye, Michael K. Ng, Xutao Li, 2012, SDM.

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation

Yunming Ye, Chuyao Luo, Yongliang Wen, 2021, Remote. Sens..

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning

Hao Jiang, Xutao Li, Shanshan Feng, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Prototype Completion for Few-Shot Learning pdf

Yunming Ye, Xutao Li, Shanshan Feng, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

TLVANE: a two-level variation model for attributed network embedding

Yunming Ye, Feng Li, Yuan Yao, 2018, Neural Computing and Applications.

Anchor Assisted Experience Replay for Online Class-Incremental Learning

Xutao Li, Shanshan Feng, Yunming Ye, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning

Xutao Li, Shanshan Feng, Yunming Ye, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-attribute and relational learning via hypergraph regularized generative model

Yunming Ye, Xiaohui Huang, Yan Li, 2018, Neurocomputing.

A generative model with hypergraph regularizers for protein function prediction

Xiaolin Du, Yunming Ye, Xiaohui Huang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Semi-supervised Collective Classification in Multi-attribute Network Data

Raymond Y. K. Lau, Yunming Ye, Xiaohui Huang, 2017, Neural Processing Letters.

Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media

Raymond Y. K. Lau, Yunming Ye, Yueping Li, 2016, Multimedia Tools and Applications.

Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization

Yunming Ye, Yueping Li, Zhenyu Wang, 2015, BMC Systems Biology.

Semi-supervised multi-label collective classification ensemble for functional genomics

Yunming Ye, Shuigeng Zhou, Qingyao Wu, 2014, BMC Genomics.

Collective prediction of protein functions from protein-protein interaction networks

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, BMC Bioinformatics.

A Generative Model with Network Regularization for Semi-Supervised Collective Classification

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2014, SDM.

Feature-based unsupervised clustering for supplier categorization

Yunming Ye, Xiaofei Xu, Shengchun Deng, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

MSTCGAN: Multi-Scale Time Conditional Generative Adversarial Network for Long-term Satellite Image Sequence Prediction

Xutao Li, Yunming Ye, Shanshan Feng, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Exploiting Spatial–Temporal Dynamics for Satellite Image Sequence Prediction

Xutao Li, Yunming Ye, Zhaolin Wang, 2023, IEEE Geoscience and Remote Sensing Letters.

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding

Yunming Ye, Feng Liu, Xutao Li, 2020, WSDM.

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction pdf

Yunming Ye, Zhenguo Li, Huifeng Guo, 2018, ArXiv.

Holistic Neural Network for CTR Prediction

Yunming Ye, Huifeng Guo, Ruiming Tang, 2017, WWW.

An Investigation on Deep Learning Approaches to Combining Nighttime and Daytime Satellite Imagery for Poverty Prediction

Yunming Ye, Dianhui Chu, Chunshan Li, 2021, IEEE Geoscience and Remote Sensing Letters.

MLCE: A Multi-Label Crotch Ensemble Method for Multi-Label Classification

Yunming Ye, Yuan Yao, Yan Li, 2020, Int. J. Pattern Recognit. Artif. Intell..

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning

Tommy W. S. Chow, Yunming Ye, Qingyao Wu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A new ensemble method for multi-label data stream classification in non-stationary environment

Yunming Ye, Ge Song, Yunming Ye, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

MLRF: Multi-label Classification Through Random Forest with Label-Set Partition

Feng Liu, Yunming Ye, Yan Li, 2015, ICIC.

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation pdf

Yunming Ye, Xutao Li, Weiwen Liu, 2020, ArXiv.

SentATN: learning sentence transferable embeddings for cross-domain sentiment classification

Xutao Li, Yunming Ye, Xu Huang, 2022, Applied Intelligence.

Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules

Yunming Ye, Xiaofei Xu, Min Yang, 2018, IEEE Access.

Regularizing autoencoders with wavelet transform for sequence anomaly detection

Yunming Ye, Yueyue Yao, Jianghong Ma, 2022, Pattern Recognit..

Sentiment analysis through critic learning for optimizing convolutional neural networks with rules

Yunming Ye, Zhongjie Wang, Xutao Li, 2019, Neurocomputing.

Learning Spatial–Temporal Consistency for Satellite Image Sequence Prediction

Xutao Li, Yunming Ye, Danyu Qin, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification

Feng Liu, Yunming Ye, Xutao Li, 2018, DASFAA.

A Real-Time Method to Estimate Speed of Object Based on Object Detection and Optical Flow Calculation

Yunming Ye, Xutao Li, Yan Li, 2018 .

A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering

Raymond Y. K. Lau, Yunming Ye, Shaokai Wang, 2015, ICIC.

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation

Yunming Ye, Xutao Li, Huifeng Guo, 2016, IEICE Trans. Inf. Syst..

DynamicNet: A time-variant ODE network for multi-step wind speed prediction

Xutao Li, Yunming Ye, Baoquan Zhang, 2022, Neural Networks.

Block principal component analysis for tensor objects with frequency or time information

Yunming Ye, Michael K. Ng, Xiaofei Xu, 2018, Neurocomputing.

Automatic Cross-City API Matching for Urban Service Collaboration Based on Semantics

Yunming Ye, Xutao Li, Yongshen Long, 2020, 2020 IEEE International Conference on Services Computing (SCC).

A Noise Adaptive Model for Distantly Supervised Relation Extraction

Yunming Ye, Bowen Zhang, Xutao Li, 2020, NLPCC.

Low-resolution image categorization via heterogeneous domain adaptation

Feng Liu, Yunming Ye, Yu Zhang, 2019, Knowl. Based Syst..

Top-aware reinforcement learning based recommendation

Yunming Ye, Xutao Li, Huifeng Guo, 2020, Neurocomputing.

Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification

Yunming Ye, Zhi Liu, Joshua Zhexue Huang, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Clustering time-stamped data using multiple nonnegative matrices factorization

Yunming Ye, Xiaohui Huang, Xiaofei Yang, 2016, Knowl. Based Syst..

Stratified Random Forest for Genome-wide Association Study

Yunming Ye, Michael K. Ng, Qingyao Wu, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Effective Approach to Extract Road Map from Unmanned Aerial Vehicle Videos

Yunming Ye, Xiaofeng Zhang, Chuan Xiao, 2016, 2016 9th International Conference on Service Science (ICSS).

Detecting hot topics from Twitter: A multiview approach

Yunming Ye, Xutao Li, Haijun Zhang, 2014, J. Inf. Sci..

Extending Kmeans-Type Algorithms by Integrating Intra-cluster Compactness and Inter-cluster Separation

Yunming Ye, Xiaohui Huang, Haijun Zhang, 2016 .

A Multivariate Time Series Classification Method Based on Self-attention

Yunming Ye, Ka-Cheong Leung, Bowen Zhang, 2019, ICGEC.

The Author-Topic-Community model for author interest profiling and community discovery

Yunming Ye, Xiaofeng Zhang, William Kwok-Wai Cheung, 2014, Knowledge and Information Systems.

The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure

Yunming Ye, Xiaofeng Zhang, William Kwok-Wai Cheung, 2012, ADMA.

Cross-View Object Geo-Localization in a Local Region With Satellite Imagery

Xutao Li, Yunming Ye, Jian Kang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Unknown Chinese word extraction based on variety of overlapping strings

Siu-Ming Yiu, Yunming Ye, Qingyao Wu, 2013, Inf. Process. Manag..

On cluster tree for nested and multi-density data clustering

Yunming Ye, Michael K. Ng, Xutao Li, 2010, Pattern Recognit..

PEPNet: A barotropic primitive equations-based network for wind speed prediction

Xutao Li, Yunming Ye, Baoquan Zhang, 2023, Neural Networks.