Search Results - "Yan, Peizhi"
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1
Utilizing deep learning and graph mining to identify drug use on Twitter data
Published in BMC medical informatics and decision making (30-12-2020)“…The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the…”
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Journal Article -
2
Non-iterative online sequential learning strategy for autoencoder and classifier
Published in Neural computing & applications (01-12-2021)“…Artificial neural network training algorithms aim to optimize the network parameters regarding the pre-defined cost function. Gradient-based artificial neural…”
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Journal Article -
3
A Machine Learning Auxiliary Approach for the Distributed Dense RFID Readers Arrangement Algorithm
Published in IEEE access (2020)“…This paper is an extended version of the work published. Radio-frequency identification (RFID) is widespread in industries such as supply-chain management and…”
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4
Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading
Published in Computer communications (01-12-2021)“…In a mobile edge computing (MEC) network, mobile devices could selectively offload tasks to the edge server(s) to save time and energy. However, we should…”
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5
An energy-efficient topology control algorithm for optimizing the lifetime of wireless ad-hoc IoT networks in 5G and B5G
Published in Computer communications (01-06-2020)“…Wireless ad-hoc IoT (WAIoT) is promising in providing connections for a considerable amount of devices in the next generation (5G and beyond 5G) networks. A…”
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6
Optimizing Mobile Edge Computing Multi-Level Task Offloading via Deep Reinforcement Learning
Published in ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (01-06-2020)“…In a mobile edge computing (MEC) network, mobile devices could selectively offload tasks to the edge server(s) to save time and energy. However, we should…”
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Conference Proceeding -
7
Learning Disentangled Features for Nerf-Based Face Reconstruction
Published in 2023 IEEE International Conference on Image Processing (ICIP) (08-10-2023)“…The 3D-aware parametric face model named HeadNeRF achieved advantages in rendering photo-realistic face images. However, it has two limitations: (1) it uses…”
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Conference Proceeding -
8
Evolution of microstructure and δ phase in an aging-treated nickel-based superalloy during hot compression
Published in Materials characterization (01-06-2023)“…The evolution of microstructure and δ phase (Ni3Nb) in an aging-treated nickel-based superalloy is studied by hot compression tests. Combining with the…”
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9
Can machine learning ‘transform’ peptides/peptidomimetics into small molecules? A case study with ghrelin receptor ligands
Published in Molecular diversity (01-10-2023)“…There has been considerable interest in transforming peptides into small molecules as peptide-based molecules often present poorer bioavailability and lower…”
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10
Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario
Published in Journal of modelling in management (05-04-2022)“…Purpose The measurement capabilities of the data envelopment analysis (DEA) models are used to train the artificial neural network (ANN) models for the best…”
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11
A Distributed Graph-Based Dense RFID Readers Arrangement Algorithm
Published in ICC 2019 - 2019 IEEE International Conference on Communications (ICC) (01-05-2019)“…Radio Frequency Identification (RFID) plays a key role in the Internet of things (IoT). The type of scenario that needs to use many readers to cover a large…”
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Conference Proceeding -
12
Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities
Published 22-09-2024“…Recent advancements in 3D Gaussian Splatting (3DGS) have unlocked significant potential for modeling 3D head avatars, providing greater flexibility than…”
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13
Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach
Published in 2020 IEEE International Conference on Communications Workshops (ICC Workshops) (01-06-2020)“…Virtual Network Functions (VNFs) placed at the edge devices in the vicinity of users improve response time, avoid redundant utilization of core network, and…”
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Conference Proceeding -
14
Utilizing Deep Learning to Identify Drug Use on Twitter Data
Published 08-03-2020“…The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the…”
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Journal Article