Xiaohan Jiang

Orcid: 0009-0003-5518-7992

According to our database1, Xiaohan Jiang authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AutoEIS: Automatic feature embedding, interaction and selection on default prediction.
Inf. Process. Manag., January, 2024

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder.
BioData Min., 2024

2023
Joint computation offloading and resource allocation based on deep reinforcement learning in C-V2X edge computing.
Appl. Intell., October, 2023

Dynamic and intelligent edge server placement based on deep reinforcement learning in mobile edge computing.
Ad Hoc Networks, June, 2023

Federated Deep Reinforcement Learning-Based Intelligent Dynamic Services in UAV-Assisted MEC.
IEEE Internet Things J., 2023

WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique.
BMC Bioinform., 2022

2021
SR2CNN: Zero-Shot Learning for Signal Recognition.
IEEE Trans. Signal Process., 2021

SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition.
IEEE Trans. Cogn. Commun. Netw., 2021

Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

DenseNet with Orthogonal Kernel for Infrared and Visible Image Fusion.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2018
Email Importance Evaluation in Mailing List Discussions.
Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018


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