| 2026 | AAAI | Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary. | Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang |
| 2025 | ICONIP | Towards Urban Semantic Cognition: Investigating the Capability of LLMs in Understanding Urban Areas. | Mingzhe Liu, Zihang Xu, Kangting Xu, Tongyu Zhu, Leilei Sun |
| 2025 | IJCNN | U-Net-Like Spiking Neural Networks for Single Image Dehazing. | Huibin Li, Haoran Liu, Mingzhe Liu, Yulong Xiao, Peng Li, Guibin Zan |
| 2025 | IWQoS | Securepay: Enabling Secure and Fast Payment Processing for Platform Economy. | Junru Lin, Mingzhe Liu, Songze Li, Xuechao Wang |
| 2025 | KDD | Position-Aware Neighbor Aggregation for Dynamic Link Prediction. | Yumeng Zhou, Mingzhe Liu, Leilei Sun, Yifei Huang, Liangzhe Han, Chuanren Liu, Tongyu Zhu |
| 2024 | KDD | MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. | Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu |
| 2023 | ICDE | PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. | Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu |
| 2023 | KDD | Community-based Dynamic Graph Learning for Popularity Prediction. | Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong |
| 2022 | ICS | Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. | Mingzhe Liu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu |
| 2022 | ISNCC | Development of an Industrial Real-time Ethernet Protocol Stack Based on SoC. | Bo Zhang, Bingjun Yan, Mingzhe Liu, Bo Hu, Aidong Xu, Kai Wang |
| 2022 | SECON | Joint Passive Beamforming and Elevation Angle-Dependent Trajectory Design for RIS-aided UAV-enabled Wireless Sensor Networks. | Mingqian Shao, Yifan Liu, Bin Duo, Jin Ning, Junsong Luo, Xing Zhu, Mingzhe Liu, Zhengqiang Wang |
| 2019 | CogSci | An Investigation on the Relationships Among Social Cognition Processes by Eye-Tracking Techniques. | Pei-Ling Kuo, Ting Yun Chen, Ting-Hsuan Chang, Shiau-Wen Chen, Mingzhe Liu, Jon-Fan Hu |
| 2018 | ICARCV | Robust Skeleton-based Action Recognition through Hierarchical Aggregation of Local and Global Spatio-temporal Features. | Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu, Jing Ma |
| 2012 | ICNC | Towards a hybrid optimization model for elemental content analysis in EDXRF. | Jun Ren, Mingzhe Liu, Xianguo Tuo, Zhe Li, Rui Shi |
| 2012 | ISNN | A PSO-SVM Based Model for Alpha Particle Activity Prediction Inside Decommissioned Channels. | Mingzhe Liu, Xianguo Tuo, Jun Ren, Zhe Li, Lei Wang, Jianbo Yang |
| 2009 | ICNC | An Improved Model Free Adaptive Control Algorithm. | Aidong Xu, Yangbo Zheng, Yan Song, Mingzhe Liu |
| 2006 | ISNN | Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble. | Jiansheng Wu, Long Jin, Mingzhe Liu |
| 2006 | SMC | Vehicle Segmentation by Edge Classification Method and the S-T MRF Model. | Hiroshi Inoue, Mingzhe Liu, Shunsuke Kamijo |
| 2005 | GRC | Improving generalization performance of artificial neural networks with genetic algorithms. | Jiansheng Wu, Mingzhe Liu |
| 2005 | ICCS | A Realistic Cellular Automata Model to Simulate Traffic Flow at Urban Roundabouts. | Ruili Wang, Mingzhe Liu |
| 2005 | ICCSA | Towards a Realistic Microscopic Traffic Simulation at an Unsignalised Intersection. | Mingzhe Liu, Ruili Wang, Ray H. Kemp |
| 2005 | ISNN | A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting. | Mingzhe Liu, Ruili Wang, Jiansheng Wu, Ray H. Kemp |