Huizhi Wang

According to our database, Huizhi Wang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images.

Huixin Hu, Feng Shao, Huizhi Wang, Baoyang Mu, Hangwei Chen, Qiuping Jiang, Wenfei Chen

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Cramér-Rao Bounds for Near-Field Sensing With Extremely Large-Scale MIMO.

Huizhi Wang, Zhiqiang Xiao, Yong Zeng

IEEE Trans. Signal Process., 2024

HFMDNet: Hierarchical Fusion and Multilevel Decoder Network for RGB-D Salient Object Detection.

Yi Luo, Feng Shao, Zhengxuan Xie, Huizhi Wang, Hangwei Chen, Baoyang Mu, Qiuping Jiang

IEEE Trans. Instrum. Meas., 2024

2023

Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments: (Invited Paper).

Chaoyue Zhang, Zhiwen Zhou, Huizhi Wang, Yong Zeng

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Can Sparse Arrays Outperform Collocated Arrays for Future Wireless Communications?

Huizhi Wang, Yong Zeng

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

SNR Scaling Laws for Radio Sensing with Extremely Large-Scale MIMO.

Huizhi Wang, Yong Zeng

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things.

Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Huizhi Wang, Shengtao Li, Lei Guo, Guoyin Wang

IEEE Trans. Ind. Informatics, 2021

2020

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.

Laisen Nie, Huizhi Wang, Xin Jiang, Yi Guo, Shengtao Li

IEEE Access, 2020

2019

A Study on the Control of a Sensorless Pneumatic Joint Using Predictive Control Method.

Yanheng Zhang, Xie Chen, Huizhi Wang, Lufeng Zhang

IEEE Access, 2019

Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.

Laisen Nie, Yixuan Wu, Huizhi Wang, Yongkang Li

IEEE Access, 2019

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks.

Huizhi Wang, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Runze Shang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.

Laisen Nie, Huizhi Wang, Shimin Gong, Zhaolong Ning, Mohammad S. Obaidat, Kuei-Fang Hsiao

Proceedings of the 2019 IEEE Global Communications Conference, 2019