DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. - Jie Feng 002; Yong Li 008; Chao Zhang 014; Funing Sun; Fanchao Meng; Ang Guo; Depeng Jin (WWW, 2018)

Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data. - Fengli Xu; Tong Xia; Hancheng Cao; Yong Li 008; Funing Sun; Fanchao Meng (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

DeepMM: Deep Learning Based Map Matching with Data Augmentation. - Kai Zhao; Jie Feng 002; Zhao Xu 006; Tong Xia; Lin Chen 002; Funing Sun; Diansheng Guo; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 2019)

State-Sharing Sparse Hidden Markov Models for Personalized Sequences. - Hongzhi Shi; Chao Zhang 014; Quanming Yao; Yong Li 008; Funing Sun; Depeng Jin (KDD, 2019)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Hancheng Cao; Xiangxin Zhou; Yong Li 008; Chao Zhang 014; Vassilis Kostakos; Funing Sun; Fanchao Meng (SDM, 2019)

Understanding Urban Dynamics via State-sharing Hidden Markov Model. - Tong Xia; Yue Yu; Fengli Xu; Funing Sun; Diansheng Guo; Depeng Jin; Yong Li 008 (WWW, 2019)

No More than What I Post: Preventing Linkage Attacks on Check-in Services. - Fengli Xu; Zhen Tu; Hongjia Huang; Shuhao Chang; Funing Sun; Diansheng Guo; Yong Li 008 (WWW, 2019)

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. - Jie Feng 002; Ziqian Lin; Tong Xia; Funing Sun; Diansheng Guo; Yong Li 008 (IJCAI, 2020)

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning. - Jie Feng 002; Can Rong; Funing Sun; Diansheng Guo; Yong Li 008 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

AttnMove: History Enhanced Trajectory Recovery via Attentional Network. - Tong Xia; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Yong Li 008 (AAAI, 2021)

Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. - Mingyang Zhang 004; Yong Li 008; Funing Sun; Diansheng Guo; Pan Hui 001 (ICDM, 2021)

3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. - Tong Xia; Junjie Lin; Yong Li 008; Jie Feng 002; Pan Hui 001; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2021)

Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. - Jie Feng 002; Yong Li 008; Ziqian Lin; Can Rong; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2022)

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. - Fuxian Li; Jie Feng 002; Huan Yan; Guangyin Jin; Fan Yang; Funing Sun; Depeng Jin; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2023)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. - Hao Miao 001; Senzhang Wang; Meiyue Zhang; Diansheng Guo; Funing Sun; Fan Yang (CoRR, 2024)

Demand-driven Urban Facility Visit Prediction. - Yunke Zhang; Tong Li 013; Yuan Yuan 032; Fengli Xu; Fan Yang; Funing Sun; Yong Li 008 (ACM Trans. Intell. Syst. Technol., 2024)

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. - Tong Xia; Yong Li 008; Yunhan Qi; Jie Feng 002; Fengli Xu; Funing Sun; Diansheng Guo; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2024)