Peizhi Yan

According to our database, Peizhi Yan authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learning Disentangled Features for Nerf-Based Face Reconstruction.

Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Network Risk Assessment Method Based on Residual Risk Analysis.

Hao Jing, Peizhi Yan, Gang Wang, Jiewei Liu, Yige Fang

Proceedings of the Internet of Things - ICIOT 2022, 2022

An Efficient Refocusing Scheme for Camera-Array Captured Light Field Video for Improved Visual Immersiveness.

Nusrat Mehajabin, Peizhi Yan, Supreet Kaur, Jingxiang Song, Mahsa T. Pourazad, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

NEO-3DF: Novel Editing-Oriented 3D Face Creation and Reconstruction.

Peizhi Yan, James Gregson, Qiang Tang, Rabab Ward, Zhan Xu, Shan Du

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Non-iterative online sequential learning strategy for autoencoder and classifier.

Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu

Neural Comput. Appl., 2021

Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading.

Peizhi Yan, Salimur Choudhury

Comput. Commun., 2021

2020

Utilizing deep learning and graph mining to identify drug use on Twitter data.

Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury

BMC Medical Informatics Decis. Mak., 2020

Utilizing Deep Learning to Identify Drug Use on Twitter Data.

Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury

CoRR, 2020

An energy-efficient topology control algorithm for optimizing the lifetime of wireless ad-hoc IoT networks in 5G and B5G.

Peizhi Yan, Salimur Choudhury, Fadi Al-Turjman, Ibrahim Al-Oqily

Comput. Commun., 2020

A Machine Learning Auxiliary Approach for the Distributed Dense RFID Readers Arrangement Algorithm.

Peizhi Yan, Salimur Choudhury, Ruizhong Wei

IEEE Access, 2020

Optimizing Mobile Edge Computing Multi-Level Task Offloading via Deep Reinforcement Learning.

Peizhi Yan, Salimur Choudhury

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach.

Mahzabeen Emu, Peizhi Yan, Salimur Choudhury

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

A Distributed Graph-Based Dense RFID Readers Arrangement Algorithm.

Peizhi Yan, Salimur Choudhury, Ruizhong Wei

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Using Convolution and Deep Learning in Gomoku Game Artificial Intelligence.

Peizhi Yan, Yi Feng

Parallel Process. Lett., 2018

A Hybrid Gomoku Deep Learning Artificial Intelligence.

Peizhi Yan, Yi Feng

Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018