Search Results - "Dai, Penglin"

Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks by Penglin Dai, Kai Liu, Qingfeng Zhuge, Sha, Edwin H.-M, Lee, Victor Chung Sing, Sang Hyuk Son

“…Recent advances in autonomous vehicles and vehicular communications are envisioned to enable novel approaches to managing and controlling traffic…”
Get full text

Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks by Dai, Penglin, Liu, Kai, Wu, Xiao, Liao, Yong, Lee, Victor Chung Sing, Son, Sang Hyuk

“…Heterogeneous network resources are expected to cooperate with each other to support efficient data services in vehicular networks. However, current data…”
Get full text

Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing by Ye, Kong, Dai, Penglin, Wu, Xiao, Ding, Yan, Xing, Huanlai, Yu, Zhaofei

“…Traffic sensing is one of the promising applications to guarantee safe and efficient traffic systems in vehicular networks. However, due to the unique…”
Get full text

Preparation and compression property of Mg-5Al-xGd solid solution alloys by Zhang, Yuanlin, Kuo, Yang, Yang, Yusen, Fang, Daran, Dai, Penglin, Jin, Kangshuai, Lin, Xiaoping

“…The solidification microstructure of the Mg-5Al alloy is controlled by the Gd content (0.00%, 0.25%, 0.50%, 0.75%, 1.00%, mass fraction, the same below) and…”
Get full text

Optimizing data placement for reducing shift operations on Domain Wall Memories by Xianzhang Chen, Sha, Edwin H.-M, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang

“…Domain Wall Memory (DWM) using nanowire with data access port, exhibits extraordinary high density, low power leakage, and low access latency. These properties…”
Get full text

RTFN: A robust temporal feature network for time series classification by Xiao, Zhiwen, Xu, Xin, Xing, Huanlai, Luo, Shouxi, Dai, Penglin, Zhan, Dawei

“…•Propose a robust temporal feature network (RTFN) for feature extraction.•Responsible for capturing local features and relationships among them.•RTFN can be…”
Get full text

SelfMatch: Robust semisupervised time‐series classification with self‐distillation by Xing, Huanlai, Xiao, Zhiwen, Zhan, Dawei, Luo, Shouxi, Dai, Penglin, Li, Ke

“…Over the years, a number of semisupervised deep‐learning algorithms have been proposed for time‐series classification (TSC). In semisupervised deep learning,…”
Get full text

A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks by Dai, Penglin, Hu, Kaiwen, Wu, Xiao, Xing, Huanlai, Teng, Fei, Yu, Zhaofei

“…Mobile edge computing (MEC) has been an effective paradigm for supporting computation-intensive applications by offloading resources at network edge…”
Get full text

A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing by Liu, Zongkai, Dai, Penglin, Xing, Huanlai, Yu, Zhaofei, Zhang, Wei

“…Fog computing has been an effective paradigm of real-time applications in the IoT area, which enables task offloading at network edge devices. Particularly,…”
Get full text

SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction by Huang, Keke, Li, Shuo, Dai, Penglin, Wang, Zhen, Yu, Zhaofei

“…Complex network is a general model to represent the interactions within technological, social, information, and biological interaction. Often, the direct…”
Get full text

An Adaptive Q-Value Adjustment-Based Learning Model for Reliable Vehicle-to-UAV Computation Offloading by Wang, Junhua, Zhu, Kun, Dai, Penglin, Han, Zhu

“…Unmanned Air Vehicle (UAV) has been widely used as the flying edge server to support ground vehicles' Onboard-Unit (OBU) applications. In this work, we address…”
Get full text

Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC by Liu, Kai, Xu, Xincao, Dai, Penglin, Chen, Biwen

“…Recent advances in sensing technologies, wireless communications and computing paradigms drive the evolution of vehicles toward intelligent and electronic…”
Get full text

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach by Song, Fuhong, Xing, Huanlai, Wang, Xinhan, Luo, Shouxi, Dai, Penglin, Li, Ke

“…This paper studies the problem of offloading an application consisting of dependent tasks in multi-access edge computing (MEC). This problem is challenging…”
Get full text

Microstructure control and strengthening mechanism of fine-grained cast Mg alloys based on grain boundary segregation of Al solute by Lin, Xiaoping, Dang, Yuzhen, Dai, Penglin, Fang, Daran, Xu, Chang, Wen, Bin

“…Mg-xAl alloys (x = 3–12 wt%) were prepared by high pressure solidification. The microstructure of the alloys was studied using Scanning Electron Microscope…”
Get full text

Solute redistribution and mechanism of structure refinement of Mg-Al alloy during solidification under high pressure by Lin, Xiaoping, Dai, Penglin, Xu, Chang, Fang, Daran, Guo, Kunyu, Ren, Zheng

“…The effect of high pressure on the composition and grain size of the Mg-xAl alloy was studied, and the mechanism of structure refinement from the viewpoint of…”
Get full text

Deep Contrastive Representation Learning With Self-Distillation by Xiao, Zhiwen, Xing, Huanlai, Zhao, Bowen, Qu, Rong, Luo, Shouxi, Dai, Penglin, Li, Ke, Zhu, Zonghai

“…Recently, contrastive learning (CL) is a promising way of learning discriminative representations from time series data. In the representation hierarchy,…”
Get full text

Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles by Dai, Penglin, Wu, Meiting, Li, Ke, Wu, Xiao, Ding, Yan

“…Live Video Streaming (LVS) services are critical in supporting real-time applications in Internet of Vehicles (IoV) by transmitting real-time generated video…”
Get full text

Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks by Dai, Penglin, Hang, Zihua, Liu, Kai, Wu, Xiao, Xing, Huanlai, Yu, Zhaofei, Lee, Victor Chung Sing

“…Mobile edge computing (MEC) is an emerging paradigm to offload computations from the cloud to the MEC servers in vehicular networks, aiming at better…”
Get full text

Network structure reconstruction with symmetry constraint by Hang, Zihua, Dai, Penglin, Jia, Shanshan, Yu, Zhaofei

“…•Propose a new model for network reconstruction based on compressive sensing, which can effectively improve improve infer precision.•Formulate a single convex…”
Get full text

Densely Knowledge-Aware Network for Multivariate Time Series Classification by Xiao, Zhiwen, Xing, Huanlai, Qu, Rong, Feng, Li, Luo, Shouxi, Dai, Penglin, Zhao, Bowen, Dai, Yuanshun

“…Multivariate time series classification (MTSC) based on deep learning (DL) has attracted increasingly more research attention. The performance of a DL-based…”
Get full text