Zisen Qi

Orcid: 0009-0003-6883-6293

According to our database1, Zisen Qi authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
GATR: Transformer Based on Guided Aggregation Decoder for 3D Multi-Modal Detection.
IEEE Robotics Autom. Lett., November, 2024

Dynamic Jamming Power Allocation With Incomplete Sensing Information: Improving by GAN and Opponent Modeling.
IEEE Commun. Lett., May, 2024

GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder.
IEEE Trans. Cogn. Commun. Netw., February, 2024

Exemplar-Free Deep Incremental Hashing for Efficient Image Retrieval.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Real-Time Aggregation for Massive Alerts Based on Dynamic Attack Granularity Graph.
Proceedings of the Science of Cyber Security - 5th International Conference, 2023

UCWSC: A unified cross-modal weakly supervised classification ensemble framework.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
ConvLSTMAE: A Spatiotemporal Parallel Autoencoders for Automatic Modulation Classification.
IEEE Commun. Lett., 2022

Cost-Effective Malware Classification Based on Deep Active Learning.
Proceedings of the Security and Privacy in Communication Networks, 2022

Malware Classification Based on Semi-Supervised Learning.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Evaluation Method of Communication Countermeasure Combat Effectiveness based on Cloud Model.
Proceedings of the IEEE International Conference on Signal Processing, 2022

An Incremental Malware Classification Approach Based on Few-Shot Learning.
Proceedings of the IEEE International Conference on Communications, 2022

2021
MALUP: A Malware Classification Framework using Convolutional Neural Network with Deep Unsupervised Pre-training.
Proceedings of the 20th IEEE International Conference on Trust, 2021

2020
Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure.
IEEE Access, 2020

2019
Fingerprint Feature Recognition of Frequency Hopping Radio with FCBF-NMI Feature Selection.
Proceedings of the Communications, Signal Processing, and Systems, 2019


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