Yigong Wang

Orcid: 0000-0002-0642-1477

According to our database1, Yigong Wang authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning.
IEEE Trans. Dependable Secur. Comput., 2023

Dual Contrastive Learning Framework for Incremental Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Attention-Based Spatial Guidance for Image-to-Image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces.
Proceedings of the Information Systems Security - 17th International Conference, 2021

Single View Point Cloud Generation via Unified 3D Prototype.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Few-Sample and Adversarial Representation Learning for Continual Stream Mining.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adaptive Multi-Region Network For Medical Image Analysis.
Proceedings of the IEEE International Conference on Image Processing, 2020

Adaptive Margin Based Deep Adversarial Metric Learning.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Co-Representation Learning Framework For the Open-Set Data Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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