Fangda Guo

Orcid: 0000-0003-2401-6499

Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, China
  • Northeastern University, Shenyang, China (Ph.D.)


According to our database1, Fangda Guo authored at least 26 papers between 2014 and 2024.

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Bibliography

2024
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework.
IEEE Trans. Knowl. Data Eng., September, 2024

M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark.
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

2023
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
CoRR, 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


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