| 2026 | AAAI | NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation. | Jun Bao, Junbo Wang, Yiheng Jiang, Xiangfeng Liu, Mingyang Lv, Yuanbo Xu |
| 2025 | AAAI | Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation. | Mingyang Lv, Xiangfeng Liu, Yuanbo Xu |
| 2025 | EMNLP | GraDaSE: Graph-Based Dataset Search with Examples. | Jing He, Mingyang Lv, Qing Shi, Gong Cheng |
| 2024 | IJCNN | Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security. | Mingyang Lv, Hong Zhang, Miao Wang, Liqiang Wang, Peng Wu |
| 2024 | IJCNN | Community-aware graph debiased contrastive representation learning. | Peng Wu, Hong Zhang, Miao Wang, Liqiang Wang, Meng Wang, Mingyang Lv |
| 2021 | ICNP | OrbitCast: Exploiting Mega-Constellations for Low-Latency Earth Observation. | Zeqi Lai, Qian Wu, Hewu Li, Mingyang Lv, Jianping Wu |
| 2016 | IGARSS | Simulation of moon-based observation for large-scale Earth science phenomena. | Yuanzhen Ren, Huadong Guo, Guang Liu, Hanlin Ye, Yixing Ding, Daowei Zhang, Zhixing Ruan, Mingyang Lv |
| 2016 | IGARSS | Coverage analysis on Global change sensitive regions from moon based observation. | Hanlin Ye, Huadong Guo, Guang Liu, Yuanzhen Ren, Yixing Ding, Mingyang Lv |
| 2016 | IGARSS | Moon-based earth observation for large scale geoscience phenomena. | Huadong Guo, Guang Liu, Yixing Ding, Yongliao Zou, Shaopeng Huang, Liming Jiang, Gensuo Jia, Mingyang Lv, Yuanzhen Ren, Zhixing Ruan, Hanlin Ye |