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DeepMove: Predicting Human Mobility with Attentional Recurrent Networks., , , , , , и . WWW, стр. 1459-1468. ACM, (2018)No More than What I Post: Preventing Linkage Attacks on Check-in Services., , , , , , и . WWW, стр. 3405-3412. ACM, (2019)Semantics-Aware Hidden Markov Model for Human Mobility., , , , , , , и . SDM, стр. 774-782. SIAM, (2019)A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling., , , , , и . IJCAI, стр. 1331-1337. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution., , , , , , , и . ACM Trans. Knowl. Discov. Data, 17 (1): 9:1-9:21 (января 2023)Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction., , , , и . ICDM, стр. 1475-1480. IEEE, (2021)Understanding Urban Dynamics via State-sharing Hidden Markov Model., , , , , , и . WWW, стр. 3363-3369. ACM, (2019)DeepMM: Deep Learning Based Map Matching with Data Augmentation., , , , , , , , и . SIGSPATIAL/GIS, стр. 452-455. ACM, (2019)Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data., , , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (1): 46:1-46:25 (2018)Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency., , , , , , и . ACM Trans. Knowl. Discov. Data, 16 (3): 49:1-49:21 (2022)