Ai-Te Kuo

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Efficient Computation

Distributed Data Sources

Top Venues

LocalRec@SIGSPATIAL

Publications

Ai-Te Kuo, Haiquan Chen, Yu-Hsuan Kuo, Wei-Shinn Ku
Dynamic Graph Representation Learning for Depression Screening with Transformer. CoRR (2023)
Ai-Te Kuo, Haiquan Chen, Wei-Shinn Ku
BERT-Trip: Effective and Scalable Trip Representation using Attentive Contrast Learning. ICDE (2023)
Ai-Te Kuo, Haiquan Chen, Liang Tang, Wei-Shinn Ku, Xiao Qin
ProbSky: Efficient Computation of Probabilistic Skyline Queries Over Distributed Data. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Jason Zhang, Ai-Te Kuo, Nicole R. Schneider, Jacob Peters, Hanan Samet
BroadcastSTAND: Clustering Multimedia Sources of News. LocalRec@SIGSPATIAL (2023)
Brian D. Ondov, Harsh B. Patel, Ai-Te Kuo, Hanan Samet, John H. Kastner, Yunheng Han, Hong Wei, Niklas Elmqvist
CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles. CoRR (2022)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI (2022)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM (2021)
Ai-Te Kuo, Hanan Samet
MusicStand: Listening to Song Lyrics Using a Map Query Interface. SIGSPATIAL/GIS (2021)