Lo Pang-Yun Ting

According to our database1, Lo Pang-Yun Ting authored at least 12 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Modeling Transitions of Inter-segment Patterns for Time Series Representation.
Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

2022
Interactive planning of revisiting-free itinerary for signed-for delivery.
Int. J. Data Sci. Anal., 2022

Online Water Usage Monitoring under Anomalous Interference in Residential Households.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Learning Personal Conscientiousness from Footprints in E-Learning Systems.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Worship prediction: identify followers in celebrity-dived networks.
World Wide Web, 2019

2018
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Interactive Unknowns Recommendation in E-Learning Systems.
Proceedings of the IEEE International Conference on Data Mining, 2018


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