• !tag rule
• KDD2022 Multi-Variate Time Series Forecasting on Variable Subsets
• KDD2022 Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
• KDD2022 Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
• KDD2022 TARNet: Task-Aware Reconstruction for Time-Series Transformer
• ICWSM2022 Evaluation of Fake News Detection with Knowledge-Enhanced Language Models
• ICWSM2022 Cyberbullying Detection across Social Media Platforms via Platform-Aware Adversarial Encoding
• ICLR2021 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
• KDD2022 Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
• KDD2022 Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
• KDD2022 Streaming Hierarchical Clustering Based on Point-Set Kernel
• KDD2022 Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams
• KDD2021 Differentiable Pattern Set Mining
• KDD2022 Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
• KDD2022 ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences
• KDD2022 CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences
• ガウス過程回帰に基づく個人的・集団的嗜好分布の効率的な推定
• 論文データベースのキーワード解析・可視化による論文執筆・投稿支援システムの提案と評価
• 時間変化するshapeletsを学習する時系列分類手法
• リツイートの時系列データを用いた Hierarchical Attention Networks に基づく誤情報検出