Rongxin Zhu

Orcid: 0000-0001-5133-0868

According to our database1, Rongxin Zhu authored at least 13 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
An Efficient Secure and Adaptive Routing Protocol Based on GMM-HMM-LSTM for Internet of Underwater Things.
IEEE Internet Things J., May, 2024

A robust and machine learning-driven identification scheme for malicious nodes in UASNs.
Comput. Commun., 2024

2023
DESLR: Energy-efficient and secure layered routing based on channel-aware trust model for UASNs.
Comput. Networks, October, 2023

A trust management-based secure routing protocol with AUV-aided path repairing for Underwater Acoustic Sensor Networks.
Ad Hoc Networks, October, 2023

Attention guided learnable time-domain filterbanks for speech depression detection.
Neural Networks, August, 2023

Towards a Trusted Channel Energy-Aware Routing Algorithm for Underwater Sensor Networks.
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2023

T-SAPR: An Efficient Q-Learning Trust-based Secure Routing Protocol for Underwater Acoustic Sensor Networks.
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2023

GHL-SAR: Secure and Adaptive Routing Based on GMM-HMM-LSTM for UASNs.
Proceedings of the IEEE Global Communications Conference, 2023

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Predicting Treatment Selections for Individuals with Major Depressive Disorder According to Functional Connectivity Subgroups.
Brain Connect., 2022

2021
Findings on Conversation Disentanglement.
CoRR, 2021

Research on Dynamic Sign Language Recognition Based on Key Frame Weighted of DTW.
Proceedings of the Multimedia Technology and Enhanced Learning, 2021

An Optimized Seven-Layer Convolutional Neural Network with Data Augmentation for Classification of Chinese Fingerspelling Sign Language.
Proceedings of the Multimedia Technology and Enhanced Learning, 2021


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