Learning from Highly Sparse Spatio-temporal Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Markov-Driven Graph Convolutional Networks for Social Spammer Detection.
IEEE Trans. Knowl. Data Eng., December, 2023
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.
CoRR, 2022
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
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Proceedings of the NeurIPS 2022 Competition Track, 2021
The research for digitalization of four great classical literatures of traditional Chinese medicine knowledge for clinic use.
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Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013