Search Results for author: Kui Wang

Found 6 papers, 1 papers with code

Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept

no code implementations20 Feb 2024 Kui Wang, Zongdian Li, Kazuma Nonomura, Tao Yu, Kei Sakaguchi, Omar Hashash, Walid Saad

The performance of SMDT is evaluated from two standpoints: (i) the rewards of the proposed navigation system on traffic efficiency and safety and, (ii) the latency and reliability of the SMDT platform.

Autonomous Driving Blocking

heterogeneous temporal graph transformer: an intelligent system for evolving android malware detection

1 code implementation KDD 2021 Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong

To capture malware evolution, we further consider the temporal dependence and introduce a heterogeneous temporal graph to jointly model malware propagation and evolution by considering heterogeneous spatial dependencies with temporal dimensions.

Android Malware Detection Malware Detection +2

Effective End-to-End Learning Framework for Economic Dispatch

no code implementations22 Feb 2020 Chenbei Lu, Kui Wang, Chenye Wu

Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible.

BIG-bench Machine Learning Load Forecasting

A Data-driven Storage Control Framework for Dynamic Pricing

no code implementations1 Dec 2019 Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, Yang Yu

Dynamic pricing is both an opportunity and a challenge to the demand side.

Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

no code implementations9 Nov 2019 Kui Wang, Jian Sun, Chenye Wu, Yang Yu

Conductor galloping is the high-amplitude, low-frequency oscillation of overhead power lines due to wind.

Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data

no code implementations31 May 2013 Saumyadipta Pyne, Kui Wang, Jonathan Irish, Pablo Tamayo, Marc-Danie Nazaire, Tarn Duong, Sharon Lee, Shu-Kay Ng, David Hafler, Ronald Levy, Garry Nolan, Jill Mesirov, Geoffrey J. McLachlan

Simultaneously, JCM fits a random-effects model to construct an overall batch template -- used for registering populations across samples, and classifying new samples.

Clustering

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