Mobile Traffic Data Decomposition for Understanding Human Urban Activities. - Mingyang Zhang 004; Fengli Xu; Yong Li 008 (MASS, 2016)

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. - Mingyang Zhang 004; Tong Li 013; Hongzhi Shi; Yong Li 008; Pan Hui 001 (IJCAI, 2019)

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data. - Jie Feng 002; Mingyang Zhang 004; Huandong Wang; Zeyu Yang; Chao Zhang 014; Yong Li 008; Depeng Jin (WWW, 2019)

Understanding Urban Dynamics From Massive Mobile Traffic Data. - Mingyang Zhang 004; Haohao Fu; Yong Li 008; Sheng Chen 001 (IEEE Trans. Big Data, 2019)

Multi-View Joint Graph Representation Learning for Urban Region Embedding. - Mingyang Zhang 004; Tong Li 013; Yong Li 008; Pan Hui 001 (IJCAI, 2020)

"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage. - Tong Li 013; Mingyang Zhang 004; Hancheng Cao; Yong Li 008; Sasu Tarkoma; Pan Hui 001 (WWW, 2020)

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

The Impact of Covid-19 on Smartphone Usage. - Tong Li 013; Mingyang Zhang 004; Yong Li 008; Eemil Lagerspetz; Sasu Tarkoma; Pan Hui 001 (IEEE Internet Things J., 2021)

Urban Anomaly Analytics: Description, Detection, and Prediction. - Mingyang Zhang 004; Tong Li 013; Yue Yu; Yong Li 008; Pan Hui 001; Yu Zheng 004 (IEEE Trans. Big Data, 2022)

User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. - Jie Feng 002; Yong Li 008; Zeyu Yang; Mingyang Zhang 004; Huandong Wang; Hancheng Cao; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2022)

Privacy-preserving design of graph neural networks with applications to vertical federated learning. - Ruofan Wu; Mingyang Zhang 004; Lingjuan Lyu; Xiaolong Xu; Xiuquan Hao; Xinyi Fu; Tengfei Liu; Tianyi Zhang; Weiqiang Wang 002 (CoRR, 2023)

You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior. - Tong Li 013; Yong Li 008; Mingyang Zhang 004; Sasu Tarkoma; Pan Hui 001 (ACM Trans. Intell. Syst. Technol., 2023)

CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events. - Mingyang Zhang 004; Tong Li 013; Pan Hui 001 (IEEE Trans. Knowl. Data Eng., 2023)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002 (CIKM, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Mingyang Zhang 004; Qiying Pan; Tengfei Liu; Weiqiang Wang 002 (NeurIPS, 2024)

On provable privacy vulnerabilities of graph representations. - Ruofan Wu; Guanhua Fang; Qiying Pan; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang 002; Wenbiao Zhao (CoRR, 2024)

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. - Xi Chen 072; Yun Xiong; Siwei Zhang 001; Jiawei Zhang 001; Yao Zhang 009; Shiyang Zhou; Xixi Wu; Mingyang Zhang 004; Tengfei Liu; Weiqiang Wang (CoRR, 2024)