108 citations · 250 across the 14 of their papers we have counts for
14 papers
A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network
Feiyi Chen, Naijin Liu, Zhen Qin +3
Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasional workload bursts, which makes workl…
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
Zhen Qin, Xueqiang Yan, Mengchu Zhou +1
Federated learning (FL) enables collaborative training of machine learning models without sharing training data. Traditional FL heavily relies on a trusted centralized server. Alth…
ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
Yang Yu, Shangce Gao, Yirui Wang +2
Brain storm optimization (BSO) is a newly proposed population-based optimization algorithm, which uses a logarithmic sigmoid transfer function to adjust its search range during the…
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Yingxu Wang, Fakhri Karray, Sam Kwong +12
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence enabled by coherent symbiosis of human-machine inter…
Variable Petri Nets for Mobility
Zhijun Ding, Ru Yang, Puwen Cui +2
Mobile computing systems, service-based systems and some other systems with mobile interacting components have recently received much attention. However, because of their character…
Modeling and Analysis of Three Properties of Mobile Interactive Systems Based on Variable Petri Nets
Ru Yang, Zhijun Ding, Changjun Jiang +1
Due to the mobility and frequent disconnections, the correctness of mobile interaction systems, such as mobile robot systems and mobile payment systems, are often difficult to anal…
Petri Net Based Symbolic Model Checking for Computation Tree Logic of Knowledge
Leifeng He, Guanjun Liu
Computation Tree Logic of Knowledge (CTLK) can specify many design requirements of privacy and security of multi-agent systems (MAS). In our conference paper, we defined Knowledge-…
Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges
Mohammadhossein Ghahramani, MengChu Zhou, Gang Wang
Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these…
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou +2
Smart Manufacturing refers to optimization techniques that are implemented in production operations by utilizing advanced analytics approaches. With the widespread increase in depl…
Beam with Adaptive Divergence Angle in Free-Space Optical Communications for High-Speed Trains
Yagiz Kaymak, Sina Fathi-Kazerooni, Roberto Rojas-Cessa +4
In this paper, we propose an adaptive beam that adapts its divergence angle according to the receiver aperture diameter and the communication distance to improve the received power…
Unsupervised Domain Adaptation with Adversarial Residual Transform Networks
Guanyu Cai, Yuqin Wang, Mengchu Zhou +1
Domain adaptation is widely used in learning problems lacking labels. Recent studies show that deep adversarial domain adaptation models can make markable improvements in performan…
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon
Huazhen Fang, Ning Tian, Yebin Wang +2
This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of eng…
A Distributed Dynamic Programming-based Solution for Load Management in Smart Grids
Wei Zhang, Yinliang Xu, Sisi Li +3
Load management is being recognized as an important option for active user participation in the energy market. Traditional load management methods usually require a centralized pow…
Topology Discovery for Linear Wireless Networks with Application to Train Backbone Inauguration
Yu Liu, Jianghua Feng, Osvaldo Simeone +4
A train backbone network consists of a sequence of nodes arranged in a linear topology. A key step that enables communication in such a network is that of topology discovery, or tr…