近五年代表性成果
1. Sicheng He, Junzhong Ji, and Minglong Lei*. Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025.
2. Jing He, Junzhong Ji, and Minglong Lei*. Spatio-temporal transformer network with physical knowledge distillation for weather forecasting. The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024, page 819–828.
3. Junzhong Ji, Jing He, Minglong Lei*, Muhua Wang, and Wei Tang. Spatio-temporal transformer network for weather forecasting. IEEE Transactions on Big Data (TBD), 2024.
4. Ruibin Zeng†, Minglong Lei†, Lingfeng Niu†, and Lan Cheng. A unified pre-training and adaptation framework for combinatorial optimization on graphs. Science China Mathematics, 2024, 67:1439–1456.
5. Junzhong Ji, Fan Yu, Minglong Lei*. Self-Supervised Spatiotemporal Graph Neural Networks with Self-Distillation for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023, 24(2), 1580-1593.
6. Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei*. Supervised Contrastive Learning with Structure Inference for Graph Classification. IEEE Transactions on Network Science and Engineering (TNSE), 2023, 10(3), 1684-1695.
7. Chenxi Song, Lingfeng Niu, Minglong Lei*. Two-level Adversarial Attacks for Graph Neural Networks. Information Sciences, 2023, 654:119877.
8. Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu*. DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Transactions on Cybernetics (TCYB), 2022, 52(2), 912-924.
9. Junzhong Ji, Yating Ren, Minglong Lei*. FC-HAT: Hypergraph Attention Network for Functional Brain Network Classification. Information Sciences, 2022, 608, 1301-1316.
10. Jiabin Liu, Biao Li*, Minglong Lei*, Yong Shi. Self-supervised knowledge distillation for complementary label learning. Neural Networks, 2022, 155, 318-327.
11. Junzhong Ji, Ye Liang, Minglong Lei*. Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks, 2021, 142, 522-533.
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang. Discrete embedding for latent networks. The 29th International Conference on International Joint Conferences on Artificial Intelligence (IJCAI), 1223-1229, 2020.
