Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. - Hao Peng 001; Jianxin Li 002; Zheng Wang 001; Renyu Yang; Mingzhe Liu 002; Mingming Zhang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence. - Mingzhe Liu 002; Bowen Du 001; Leilei Sun (IEEE BigData, 2021)

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning. - Hao Peng 001; Bowen Du 001; Mingsheng Liu; Mingzhe Liu 002; Shumei Ji; Senzhang Wang; Xu Zhang; Lifang He 001 (Inf. Sci., 2021)

Adaptive Spatiotemporal Dependence Learning for Multi-Mode Transportation Demand Prediction. - Haihui Xu; Tao Zou 003; Mingzhe Liu 002; Yanan Qiao; Jingjing Wang; Xucheng Li (IEEE Trans. Intell. Transp. Syst., 2022)

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. - Mingzhe Liu 002; Han Huang; Hao Feng; Leilei Sun; Bowen Du 001; Yanjie Fu (ICDE, 2023)

Community-based Dynamic Graph Learning for Popularity Prediction. - Shuo Ji; Xiaodong Lu; Mingzhe Liu 002; Leilei Sun; Chuanren Liu; Bowen Du 001; Hui Xiong 001 (KDD, 2023)

Spatio-Temporal AutoEncoder for Traffic Flow Prediction. - Mingzhe Liu 002; Tongyu Zhu; Junchen Ye; Qingxin Meng 002; Leilei Sun; Bowen Du 001 (IEEE Trans. Intell. Transp. Syst., 2023)

MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. - Shuo Ji; Mingzhe Liu 002; Leilei Sun; Chuanren Liu; Tongyu Zhu (KDD, 2024)

Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction. - Xiaodong Lu; Mingzhe Liu 002; Tongyu Zhu; Leilei Sun; Jibin Wang; Weifeng Lv; Yikun Ban; Deqing Wang (ACM Trans. Inf. Syst., 2025)