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Identification of Major Power Quality Disturbance Sources in Regional Grid based on Monitoring Data Correlation Analysis

2018 International Conference on Power System Technology (POWERCON), 2018, p.4257-4263

2018

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Operation Planning Modeling of Tracking and Data Relay Satellite: A Sketch

2009 Second International Conference on Intelligent Computation Technology and Automation, 2009, Vol.2, p.144-147

2009

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Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism

Advances in Knowledge Discovery and Data Mining, p.541-553

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Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction

Advances in Knowledge Discovery and Data Mining, p.343-354

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Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect

Advances in Knowledge Discovery and Data Mining, p.123-135

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Customer Segmentation Based on Transactional Data Using Stream Clustering

Advances in Knowledge Discovery and Data Mining, p.280-292

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Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility

Advances in Knowledge Discovery and Data Mining, p.191-203

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CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis

Advances in Knowledge Discovery and Data Mining, p.108-122

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How Much Can A Retailer Sell? Sales Forecasting on Tmall

Advances in Knowledge Discovery and Data Mining, p.204-216

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Time-Dependent Survival Neural Network for Remaining Useful Life Prediction

Advances in Knowledge Discovery and Data Mining, p.441-452

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Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System

Advances in Knowledge Discovery and Data Mining, p.302-313

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Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition

Advances in Knowledge Discovery and Data Mining, p.110-122

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FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction

Advances in Knowledge Discovery and Data Mining, p.265-279

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Robust Temporal Graph Clustering for Group Record Linkage

Advances in Knowledge Discovery and Data Mining, p.526-538

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Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias

Advances in Knowledge Discovery and Data Mining, p.160-171

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Variational Deep Collaborative Matrix Factorization for Social Recommendation

Advances in Knowledge Discovery and Data Mining, p.426-437

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An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks

Advances in Knowledge Discovery and Data Mining, p.150-162

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Towards One Reusable Model for Various Software Defect Mining Tasks

Advances in Knowledge Discovery and Data Mining, p.212-224

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Determining the Impact of Missing Values on Blocking in Record Linkage

Advances in Knowledge Discovery and Data Mining, p.262-274

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Consensus Graph Learning for Incomplete Multi-view Clustering

Advances in Knowledge Discovery and Data Mining, p.529-540

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Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function

Advances in Knowledge Discovery and Data Mining, p.501-513

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User Preference-Aware Review Generation

Advances in Knowledge Discovery and Data Mining, p.225-236

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Multitask Learning for Sparse Failure Prediction

Advances in Knowledge Discovery and Data Mining, p.3-14

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ACNet: Aggregated Channels Network for Automated Mitosis Detection

Advances in Knowledge Discovery and Data Mining, p.453-464

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HATDC: A Holistic Approach for Time Series Data Repairing

Advances in Knowledge Discovery and Data Mining, p.553-564

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Identification of Major Power Quality Disturbance Sources in Regional Grid based on Monitoring Data Correlation Analysis

Operation Planning Modeling of Tracking and Data Relay Satellite: A Sketch

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism

Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction

Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect

Customer Segmentation Based on Transactional Data Using Stream Clustering

Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis

How Much Can A Retailer Sell? Sales Forecasting on Tmall

Time-Dependent Survival Neural Network for Remaining Useful Life Prediction

Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition

FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction

Robust Temporal Graph Clustering for Group Record Linkage

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias

Variational Deep Collaborative Matrix Factorization for Social Recommendation

An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks

Towards One Reusable Model for Various Software Defect Mining Tasks

Determining the Impact of Missing Values on Blocking in Record Linkage

Consensus Graph Learning for Incomplete Multi-view Clustering

Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function

User Preference-Aware Review Generation

Multitask Learning for Sparse Failure Prediction

ACNet: Aggregated Channels Network for Automated Mitosis Detection

HATDC: A Holistic Approach for Time Series Data Repairing

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