Peizhi Yan

23 papers A 1B 1C 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars.
CoRR
Peizhi Yan, Rabab Ward, Qiang Tang, Shan Du
2025 A conf
Gaussian Déjà-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities.
WACV
Peizhi Yan, Rabab Ward, Qiang Tang, Shan Du
2025 J jnl
Neural 3D Face Shape Stylization Based on Single Style Template via Weakly Supervised Learning.
IEEE Trans. Vis. Comput. Graph.
Peizhi Yan, Rabab K. Ward, Qiang Tang, Shan Du
2025 J jnl
StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model.
CoRR
Peizhi Yan, Rabab K. Ward, Dan Wang, Qiang Tang, Shan Du
2024 — conf
A Dual-Stage Ensemble Approach to Detect and Classify Ransomware Attacks.
UEMCON
Peizhi Yan, Tala Talaei Khoei, Reena Sajad Hyder, Reemaa Sajad Hyder
2024 J jnl
Artificial neural networks for demand forecasting of the Canadian forest products industry.
Int. J. Bus. Inf. Syst.
Shashi K. Shahi, Peizhi Yan, Salimur Choudhury, Bharat Maheshwari
2024 J jnl
Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities.
CoRR
Peizhi Yan, Rabab Ward, Qiang Tang, Shan Du
2024 C conf
Large Language Models For Second Language English Writing Assessments: An Exploratory Comparison.
PACLIC
Zhuang Qiu, Peizhi Yan, Zhenguang Cai
2023 B conf
Learning Disentangled Features for Nerf-Based Face Reconstruction.
ICIP
Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du
2022 — conf
An Efficient Refocusing Scheme for Camera-Array Captured Light Field Video for Improved Visual Immersiveness.
HICSS
Nusrat Mehajabin, Peizhi Yan, Supreet Kaur, Jingxiang Song, Mahsa T. Pourazad, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos
2022 — conf
NEO-3DF: Novel Editing-Oriented 3D Face Creation and Reconstruction.
ACCV (1)
Peizhi Yan, James Gregson, Qiang Tang, Rabab Ward, Zhan Xu, Shan Du
2022 — conf
Network Risk Assessment Method Based on Residual Risk Analysis.
ICIOT
Hao Jing, Peizhi Yan, Gang Wang, Jiewei Liu, Yige Fang
2021 J jnl
Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading.
Comput. Commun.
Peizhi Yan, Salimur Choudhury
2021 J jnl
Non-iterative online sequential learning strategy for autoencoder and classifier.
Neural Comput. Appl.
Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu
2020 J jnl
A Machine Learning Auxiliary Approach for the Distributed Dense RFID Readers Arrangement Algorithm.
IEEE Access
Peizhi Yan, Salimur Choudhury, Ruizhong Wei
2020 J jnl
An energy-efficient topology control algorithm for optimizing the lifetime of wireless ad-hoc IoT networks in 5G and B5G.
Comput. Commun.
Peizhi Yan, Salimur Choudhury, Fadi Al-Turjman, Ibrahim Al-Oqily
2020 — conf
Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach.
ICC Workshops
Mahzabeen Emu, Peizhi Yan, Salimur Choudhury
2020 — conf
Optimizing Mobile Edge Computing Multi-Level Task Offloading via Deep Reinforcement Learning.
ICC
Peizhi Yan, Salimur Choudhury
2020 J jnl
Utilizing Deep Learning to Identify Drug Use on Twitter Data.
CoRR
Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury
2020 J jnl
Utilizing deep learning and graph mining to identify drug use on Twitter data.
BMC Medical Informatics Decis. Mak.
Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Harichandra Mendhe, Vijay Mago, Salimur Choudhury
2019 — conf
A Distributed Graph-Based Dense RFID Readers Arrangement Algorithm.
ICC
Peizhi Yan, Salimur Choudhury, Ruizhong Wei
2018 — conf
A Hybrid Gomoku Deep Learning Artificial Intelligence.
AICCC
Peizhi Yan, Yi Feng
2018 J jnl
Using Convolution and Deep Learning in Gomoku Game Artificial Intelligence.
Parallel Process. Lett.
Peizhi Yan, Yi Feng