主要论文论著
[1]Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin. Hierarchical graph convolution network for traffic forecasting. Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(1): 151-159. (CCF A)
[2]Kan Guo, Yongli Hu, Zhen (Sean) Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin. Optimized graph convolution recurrent neural network for traffic prediction. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(2): 1138-1149. (JCR Q1, IF: 8.4, ESI高被引)
[3]Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin. An optimized temporal-spatial gated graph convolution network for traffic forecasting. IEEE Intelligent Transportation Systems Magazine, 2022, 14(1): 153-162. (JCR Q1, IF: 5.0)
[4]Kan Guo, Yongli Hu, Zhen Qian, Yanfeng Sun, Junbin Gao, Baocai Yin. Dynamic graph convolution network for traffic forecasting based on latent network of Laplace matrix estimation. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(2): 1009-1018. (JCR Q1, IF: 8.4, ESI高被引)
[5]Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (Sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin. Contrastive learning for traffic flow forecasting based on multi graph convolution network. IET Intelligent Transport Systems, 2023, 18(2): 290-301. ( JCR Q1, IF: 2.5)
[6]Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (Sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin. Contrastive Optimized Graph Convolution Network for Traffic Forecasting.Neurocomputing, 2024, 602: 128249. (JCR Q1, IF: 6.5)
[7]Kan Guo, Daxin Tian, Yongli Hu, Chunmian Lin, Yanfeng Sun, Jianshan Zhou, Xuting Duan, Junbin Gao, Baocai Yin. CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(11): 10538-10550.[10] ( JCR Q1, IF: 8.3)
[8]Zhongfan Sun,Kan Guo, Yongli Hu, Daxin Tian, Qingqing Gao, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin. Large-Small Model Synergy with Multimodal Fine-Grained Heuristics for Knowledge-Based Visual Question Answering. Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025: 935-944. (CCF A，唯一通讯作者)
