Huawei Shen

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Graph Summarization for Preserving Spectral Characteristics
Node Embedding Preserving Graph Summarization
A Provable Framework of Learning Graph Embeddings via Summarization
A Provable Framework of Learning Graph Embeddings via Summarization
Time Series Anomaly Detection With Adversarial Reconstruction Networks
Learning node embeddings via summary graphs: a brief theoretical analysis
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
DPGS: Degree-Preserving Graph Summarization
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Combating Emerging Financial Risks in the Big Data Era: A Perspective Review
CubeFlow: Money Laundering Detection with Coupled Tensors
CubeFlow: Money Laundering Detection with Coupled Tensors
DPGS: Degree-Preserving Graph Summarization
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection
SpecGreedy: Unified Dense Subgraph Detection
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
SpecGreedy: Unified Dense Subgraph Detection
Summarizing graphs using the configuration model
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
EagleMine: Vision-Guided Mining in Large Graphs
Learning Concise Representations of Users' Influences through Online Behaviors
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network
Learning Sentimental Influences from Users' Behaviors
Modeling and Predicting Retweeting Dynamics via a Mixture Process
Predict Anchor Links across Social Networks via an Embedding Approach
Learning User-Specific Latent Influence and Susceptibility from Information Cascades
Adaptive co-training SVM for sentiment classification on tweets