Data Mining
Heterogeneous line graph neural network for link prediction
Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation
An Early Stage Identification of Cryptomining Behavior with DNS Requests
NFAQP: Normalizing Flow based Approximate Query Processing
Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model
Cardinality Estimation of Subgraph Search Queries with Direction Learner
Approximate Continuous k Representative Skyline Queries over Memory Limitation-based Streaming Data
AAP: Defending Against Website Fingerprinting through Burst Obfuscation
ReviewLocator: Enhance User Review-based Bug Localization with Bug Reports
Improving Adversarial Robustness Via Channel And Depth Compatibility
Boosting Adversarial Attacks with Improved Sign Method
BRQG : A BART-based Retouching Framework for Multi-hop Question Generation
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation
TIGAN: Trajectory Imputation via Generative Adversarial Network
Continuous Group Nearest Neighbor Query over Sliding Window
Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity
Machine Unlearning Methodology base on Stochastic Teacher Network
CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering
TS-MVP:Time-Series Representation Learning by Multi-View Prototypical Contrastive Learning
Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT
DACI: An index structure supporting attributed community queries
Persistent Community Search over Temporal Bipartite Graphs
Applications (Including Industry Track Papers)
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
CTKM: Crypto-based user clustering on web Transaction data
Calibrating Popularity Bias Based on Quality for Fairness Recommendation
Searching User Community and Attribute Location Cluster in Location-Based Social Networks
Efficient Size-Constrained (k, d)-Truss Community Search
FSKD: Detecting Fake News with Few-Shot Knowledge Distillation
STIP: A Seasonal Trend Integrated Predictor for Blood Glucose Level in Time Series
Window-Controlled Sepsis Prediction Using a Model Selection Approach
An Effective Pre-trained Visual Encoder for Medical Visual Question Answering
BBAC: Blockchain-based access control scheme for EHRs with data sharing support
Cross-genre Retrieval for Information Integrity: A COVID-19 Case Study
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing
Synchronous Prediction of Asset Prices' Multivariate Time Series based on Multi-task Learning and Data Augmentation
MGCP:A Multi-View Diffusing Graphs based Traffic Congestion Prediction for Roads around Factory
M2MTR: Reposition Idle Taxis in The Many-to-Many Manner with Multi-Agent Reinforcement Learning
Difficulty-Controlled Question Generation in Adaptive Education for Few-shot Learning
A Multi-Truth Discovery Approach Based on Confidence Interval Estimation of Truths
Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-connection and Dropconnect
An Effective Pre-trained Visual Encoder for Medical Visual Question Answering
A Spatio-Temporal Attention-based GCN for Anti-Money Laundering Transaction Detection.