Ai-Te Kuo

Orcid: 0000-0002-4206-370X

According to our database1, Ai-Te Kuo authored at least 8 papers between 2021 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ProbSky: Efficient Computation of Probabilistic Skyline Queries Over Distributed Data.
IEEE Trans. Knowl. Data Eng., May, 2023

Dynamic Graph Representation Learning for Depression Screening with Transformer.
CoRR, 2023

BroadcastSTAND: Clustering Multimedia Sources of News.
Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, 2023

BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles.
CoRR, 2022

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
MusicStand: Listening to Song Lyrics Using a Map Query Interface.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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