2025
A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications.
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IEEE Trans. Neural Networks Learn. Syst., May, 2025
Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects.
J. Comput. Sci. Technol., March, 2025
2024
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework.
IEEE Trans. Knowl. Data Eng., September, 2024
Learning Evolving Tools for Large Language Models.
CoRR, 2024
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark.
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CoRR, 2024
Graph Domain Adaptation: Challenges, Progress and Prospects.
CoRR, 2024
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs.
CoRR, 2024
Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series Forecasting.
Proceedings of the Database Systems for Advanced Applications, 2024
OblivChain: Enabling Oblivious Queries for Blockchain Light Clients with Malicious Security.
Proceedings of the Database Systems for Advanced Applications, 2024
Trajectory Completion via Context-Guided Neural Filtering and Encoding.
Proceedings of the Database Systems for Advanced Applications, 2024
Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2024
TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder.
Proceedings of the Database Systems for Advanced Applications, 2024
Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
GNN-Based Persistent K-core Community Search in Temporal Graphs.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Significant-attributed Community Search in Heterogeneous Information Networks.
CoRR, 2023
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Improving Graph Domain Adaptation with Network Hierarchy.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
CANA: Causal-enhanced Social Network Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Batch-Mix Negative Sampling for Learning Recommendation Retrievers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Causality and Independence Enhancement for Biased Node Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2021
Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria.
IEEE Trans. Knowl. Data Eng., 2021
Multi-attributed Community Search in Road-social Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2019
Cohesive Group Nearest Neighbor Queries Over Road-Social Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Using reliability risk analysis to prioritize test cases.
J. Syst. Softw., 2018
Improving the multimodal probabilistic semantic model by ELM classifiers.
J. Frankl. Inst., 2018
2015
Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015
2014
Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation.
IEEE Trans. Multim., 2014