Mingzhe Liu

15 papers A* 4Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary.
AAAI
Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang
2026 J jnl
SigFormer: A Transformer for Signaling Data Augmentation via Location Reconstruction.
IEEE Trans. Mob. Comput.
Mingzhe Liu, Haiyang Jiang, Tongyu Zhu, Leilei Sun, Jibin Wang, Hao Sheng
2025 J jnl
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction.
ACM Trans. Inf. Syst.
Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang
2025 J jnl
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary.
CoRR
Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang
2025 — conf
Position-Aware Neighbor Aggregation for Dynamic Link Prediction.
KDD (2)
Yumeng Zhou, Mingzhe Liu, Leilei Sun, Yifei Huang, Liangzhe Han, Chuanren Liu, Tongyu Zhu
2025 — conf
Towards Urban Semantic Cognition: Investigating the Capability of LLMs in Understanding Urban Areas.
ICONIP (1)
Mingzhe Liu, Zihang Xu, Kangting Xu, Tongyu Zhu, Leilei Sun
2024 A* conf
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning.
KDD
Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu
2023 A* conf
Community-based Dynamic Graph Learning for Popularity Prediction.
KDD
Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
2023 A* conf
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.
ICDE
Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu
2023 J jnl
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.
CoRR
Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu
2023 J jnl
Spatio-Temporal AutoEncoder for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Mingzhe Liu, Tongyu Zhu, Junchen Ye, Qingxin Meng, Leilei Sun, Bowen Du
2022 J jnl
Adaptive Spatiotemporal Dependence Learning for Multi-Mode Transportation Demand Prediction.
IEEE Trans. Intell. Transp. Syst.
Haihui Xu, Tao Zou, Mingzhe Liu, Yanan Qiao, Jingjing Wang, Xucheng Li
2021 — conf
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence.
IEEE BigData
Mingzhe Liu, Bowen Du, Leilei Sun
2021 J jnl
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci.
Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He
2020 J jnl
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He