Xueqi Cheng

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\"Not Aligned\" is Not \"Malicious\": Being Careful about Hallucinations of Large Language Models' Jailbreak
a1: Steep Test-time Scaling Law via Environment Augmented Generation
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
\"Not Aligned\" is Not \"Malicious\": Being Careful about Hallucinations of Large Language Models' Jailbreak
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
Graph Summarization for Preserving Spectral Characteristics
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark
LPNL: Scalable Link Prediction with Large Language Models
Node Embedding Preserving Graph Summarization
SLANG: New Concept Comprehension of Large Language Models
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms
A Provable Framework of Learning Graph Embeddings via Summarization
A Provable Framework of Learning Graph Embeddings via Summarization
Fast Searching The Densest Subgraph And Decomposition With Local Optimality
Hierarchical Dense Pattern Detection in Tensors
Time Series Anomaly Detection With Adversarial Reconstruction Networks
Learning node embeddings via summary graphs: a brief theoretical analysis
MonLAD: Money Laundering Agents Detection in Transaction Streams
MonLAD: Money Laundering Agents Detection in Transaction Streams
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
FlowScope: Spotting Money Laundering Based on Graphs
SpecGreedy: Unified Dense Subgraph Detection
Summarizing graphs using the configuration model
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection
CatchCore: Catching Hierarchical Dense Subtensor
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
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
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
Ranking Tweets with Local and Global Consistency Using Rich Features
Adaptive co-training SVM for sentiment classification on tweets
Co-training and visualizing sentiment evolvement for tweet events
Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix
Clustering short text using Ncut-weighted non-negative matrix factorization