Haowen Xu

Orcid: 0000-0003-2841-5788

According to our database1, Haowen Xu authored at least 30 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Mobile Edge Computing Framework for Traffic Optimization at Urban Intersections Through Cyber-Physical Integration.
IEEE Trans. Intell. Veh., January, 2024

2023
Smart Mobility in the Cloud: Enabling Real-Time Situational Awareness and Cyber-Physical Control Through a Digital Twin for Traffic.
IEEE Trans. Intell. Transp. Syst., March, 2023

Stability and Hopf bifurcation of a love model with two delays.
Math. Comput. Simul., 2023

Unsupervised Anomaly Detection on Microservice Traces through Graph VAE.
Proceedings of the ACM Web Conference 2023, 2023

A General Framework for Human-in-the-Loop Cognitive Digital Twins.
Proceedings of the Winter Simulation Conference, 2023

Route Optimization for UAV-to-UAV Communication Systems Leveraging Throughput and Energy Consumption.
Proceedings of the 21st Mediterranean Communication and Computer Networking Conference, 2023

2022
The 15<sup>th</sup> ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2022), Seattle, WA, USA - November 1, 2022.
ACM SIGSPATIAL Special, November, 2022

Continuous Emulation and Multiscale Visualization of Traffic Flow Using Stationary Roadside Sensor Data.
IEEE Trans. Intell. Transp. Syst., 2022

The System Design and Preliminary Tests of the THz Atmospheric Limb Sounder (TALIS).
IEEE Trans. Instrum. Meas., 2022

An overview of visualization and visual analytics applications in water resources management.
Environ. Model. Softw., 2022

An Alternative Timing and Synchronization Approach for Situational Awareness and Predictive Analytics.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

A geo-visual analysis for exploring the socioeconomic benefits of the heating electrification using geothermal energy.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, 2022

2021
Effect Analysis of the Digital Spectrometer FFT Algorithm on THz Atmospheric Limb Sounder (TALIS) System Sensitivity.
Remote. Sens., 2021

EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models.
J. Biomed. Informatics, 2021

Efficient Dynamic Graph Representation Learning at Scale.
CoRR, 2021

Device-to-Device Collaborative Caching Strategy Based on Incentive Mechanism.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Visualizing Vehicle Acceleration and Braking Energy at Intersections along a Major Traffic Corridor.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020
Simulation of the Spectrum Response for the THz Atmosphere Limb Sounder (TALIS).
Sensors, 2020

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

VAEPP: Variational Autoencoder with a Pull-Back Prior.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

COVID-19 Joint Pandemic Modeling and Analysis Platform.
Proceedings of the COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, 2020

2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder.
CoRR, 2019

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

AutoLoss: Learning Discrete Schedule for Alternate Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization.
CoRR, 2018

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
Community engagement in water resources planning using serious gaming.
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2015
Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning.
Proceedings of the 2015 ACM Internet Measurement Conference, 2015


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