Xingen Wang

Orcid: 0000-0003-0507-5020

According to our database1, Xingen Wang authored at least 23 papers between 2010 and 2024.

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Bibliography

2024
Transition Propagation Graph Neural Networks for Temporal Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

LG-CAV: Train Any Concept Activation Vector with Language Guidance.
CoRR, 2024

2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.
IEEE Trans. Knowl. Data Eng., October, 2023

HSDN: A High-Order Structural Semantic Disentangled Neural Network.
IEEE Trans. Knowl. Data Eng., September, 2023

Reinforcement learning based web crawler detection for diversity and dynamics.
Neurocomputing, 2023

Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng., 2022

Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2022

CoEvo-Net: Coevolution Network for Video Highlight Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
Contrastive Model Inversion for Data-Free Knowledge Distillation.
CoRR, 2021

Towards Repairing Neural Networks Correctly.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Contrastive Model Invertion for Data-Free Knolwedge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Dynamic Preference Structure Embedding From Temporal Networks.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

White-box fairness testing through adversarial sampling.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Real-time intelligent big data processing: technology, platform, and applications.
Sci. China Inf. Sci., 2019

2014
Cross-language bug localization.
Proceedings of the 22nd International Conference on Program Comprehension, 2014

BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques.
Proceedings of the 36th International Conference on Software Engineering, 2014

Automated Configuration Bug Report Prediction Using Text Mining.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2011
Load balance optimization with replication degree customization.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2010
Model Based Load Testing of Web Applications.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010


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