C
Chunsheng Zhu
Researcher at Southern University of Science and Technology
Publications - 178
Citations - 5360
Chunsheng Zhu is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Cloud computing. The author has an hindex of 33, co-authored 170 publications receiving 3981 citations. Previous affiliations of Chunsheng Zhu include University of British Columbia & Zhengzhou University.
Papers
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Privacy-preserving Data Aggregation Computing in Cyber-Physical Social Systems
TL;DR: A bit-choosing algorithm is used and proposed to realize privacy-preserving min, k-th min, and percentile computation and makes sure that the users send non-repetition replies to the aggregator to raise the aggregation accuracy.
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AutoD: Intelligent Blockchain Application Unpacking Based on JNI Layer Deception Call
TL;DR: The implementation of an unpacking system to the intelligent block-chain applications: AutoD, based on the JNI layer deception-call in Android ART, which can successfully restore the decrypted Dex file during the execution of the reinforced blockchain applications.
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A DOA Estimation Approach for Transmission Performance Guarantee in D2D Communication
TL;DR: A 2-D DOA estimation algorithm for coherently distributed (CD) sources based on conformal array is proposed based on generalized steering vectors and the propagator method (PM) is used for estimating three rational invariance matrices.
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Dynamically Weighted Load Evaluation Method Based on Self-adaptive Threshold in Cloud Computing
TL;DR: Experimental results showed that SDWM is superior to other methods in energy conservation, task response time, and resource utilization, and the improvements are 31.5 %, 50 %,50.8 %, respectively.
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Centralized Fusion Based on Interacting Multiple Model and Adaptive Kalman Filter for Target Tracking in Underwater Acoustic Sensor Networks
TL;DR: This paper presents a centralized fusion algorithm based on the interacting multiple models and the adaptive Kalman filter (IMMCFAKF) for target tracking in UASNs and demonstrates the effectiveness of the proposed optimal IMMC FAKF algorithm.