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Peizhi Yan
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2020 – today
- 2024
- [c9]Peizhi Yan, Tala Talaei Khoei, Reena Sajad Hyder, Reemaa Sajad Hyder:
A Dual-Stage Ensemble Approach to Detect and Classify Ransomware Attacks. UEMCON 2024: 781-786 - [i2]Peizhi Yan, Rabab Ward, Qiang Tang, Shan Du:
Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities. CoRR abs/2409.16147 (2024) - 2023
- [c8]Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du:
Learning Disentangled Features for Nerf-Based Face Reconstruction. ICIP 2023: 1135-1139 - 2022
- [c7]Peizhi Yan, James Gregson, Qiang Tang, Rabab Ward, Zhan Xu, Shan Du:
NEO-3DF: Novel Editing-Oriented 3D Face Creation and Reconstruction. ACCV (1) 2022: 72-88 - [c6]Nusrat Mehajabin, Peizhi Yan, Supreet Kaur, Jingxiang Song, Mahsa T. Pourazad, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos:
An Efficient Refocusing Scheme for Camera-Array Captured Light Field Video for Improved Visual Immersiveness. HICSS 2022: 1-9 - [c5]Hao Jing, Peizhi Yan, Gang Wang, Jiewei Liu, Yige Fang:
Network Risk Assessment Method Based on Residual Risk Analysis. ICIOT 2022: 1-18 - 2021
- [j6]Peizhi Yan, Salimur Choudhury:
Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading. Comput. Commun. 180: 271-283 (2021) - [j5]Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu:
Non-iterative online sequential learning strategy for autoencoder and classifier. Neural Comput. Appl. 33(23): 16345-16361 (2021) - 2020
- [j4]Peizhi Yan, Salimur Choudhury, Ruizhong Wei:
A Machine Learning Auxiliary Approach for the Distributed Dense RFID Readers Arrangement Algorithm. IEEE Access 8: 42270-42284 (2020) - [j3]Peizhi Yan, Salimur Choudhury, Fadi Al-Turjman, Ibrahim Al-Oqily:
An energy-efficient topology control algorithm for optimizing the lifetime of wireless ad-hoc IoT networks in 5G and B5G. Comput. Commun. 159: 83-96 (2020) - [j2]Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury:
Utilizing deep learning and graph mining to identify drug use on Twitter data. BMC Medical Informatics Decis. Mak. 20-S(11): 304 (2020) - [c4]Mahzabeen Emu, Peizhi Yan, Salimur Choudhury:
Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach. ICC Workshops 2020: 1-6 - [c3]Peizhi Yan, Salimur Choudhury:
Optimizing Mobile Edge Computing Multi-Level Task Offloading via Deep Reinforcement Learning. ICC 2020: 1-7 - [i1]Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury:
Utilizing Deep Learning to Identify Drug Use on Twitter Data. CoRR abs/2003.11522 (2020)
2010 – 2019
- 2019
- [c2]Peizhi Yan, Salimur Choudhury, Ruizhong Wei:
A Distributed Graph-Based Dense RFID Readers Arrangement Algorithm. ICC 2019: 1-6 - 2018
- [j1]Peizhi Yan, Yi Feng:
Using Convolution and Deep Learning in Gomoku Game Artificial Intelligence. Parallel Process. Lett. 28(3): 1850011:1-1850011:13 (2018) - [c1]Peizhi Yan, Yi Feng:
A Hybrid Gomoku Deep Learning Artificial Intelligence. AICCC 2018: 48-52
Coauthor Index
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last updated on 2024-12-01 00:17 CET by the dblp team
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