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Chang-Tien Lu

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Geospatial Clustering for Balanced and Proximal Schools
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Predicting the Hydrogen Release Ability of LiBH4-based Mixtures by Ensemble Machine Learning
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
REGAL: A Regionalization framework for school boundaries
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
StreetNet: Preference Learning with Convolutional Neural Network on Urban Crime Perception
Virtual Metering: An Efficient Water Disaggregation Algorithm via Non-Intrusive Load Monitoring
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
Multimodal Storytelling via Generative Adversarial Imitation Learning