þ Doctoral supervisor

þ Master Supervisor

Current Professional Societies

IEEE Member, CCF Member

Research Areas

Big Data Analysis and Artificial Intelligence, Intelligent Transportation System, Computer Graphics, Virtual Reality Simulation

Honors

(1) Second Prize of Beijing Science and Technology Progress Award (2022)

(2) First Prize of China Intelligent Transportation Association Science and Technology Award (2022)

(3) First Prize of Wu Wenjun Artificial Intelligence Science and Technology Progress Award (2020)

Publications

(1) Mengran Li, Yong Zhang, Shaofan Wang, Yongli Hu, and Baocai Yin. Redundancy Is Not What You Need: An Embedding Fusion Graph Auto-encoder for Self-supervised Graph Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 2024, doi: 10.1109/TNNLS.2024.3357080. (SCI Q1, IF: 10.4)

(2) Shun Wang, Yong Zhang, Xuanqi Lin, Yongli Hu, Qingming Huang, and Baocai Yin. Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting. IEEE Transactions on Big Data. 2024, doi: 10.1109/TBDATA.2024.3362188. (SCI Q2, IF: 7.2)

(3) Chengyang Zhang, Yong Zhang, Bo Li, Xinglin Piao, and Baocai Yin. CrowdGraph: Weakly-Supervised Crowd Counting via Graph Neural Network. ACM Transactions on Multimedia Computing Communications and Applications. 2024, doi: 10.1145/3638774. (SCI Q3, IF: 5.1)

(4) Zhuangzhuang Miao, Yong Zhang, Hao Ren, Yongli Hu, and Baocai Yin. Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting. IEEE Transactions on Intelligent Transportation Systems. 2023, doi: 10.1109/TITS.2023.3327698. (SCI Q1, IF: 8.5)

(5) Mengran Li, Yong Zhang, Wei Zhang, Shiyu Zhao, Xinglin Piao, and Baocai Yin. CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks. IEEE Transactions on Computational Social Systems. 2023, doi: 10.1109/TCSS.2023.3292145. (SCI Q2, IF: 5)

(6) Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, and Baocai Yin. Self-supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. IEEE Transactions on Big Data. 2023, 9(4) : 1210-1224. (SCI Q2, IF: 7.2)

(7) Yuqing Zhang, Yong Zhang, Shaofan Wang, Yun Liang, and Baocai Yin. Semi-supervised Video Object Segmentation via Edge Attention Gated Graph Convolutional Network. ACM Transactions on Multimedia Computing Communications and Applications. 2023, doi: 10.1145/3611389. (SCI Q3, IF: 5.1)

(8) Bo Li, Yong Zhang, Chengyang Zhang, Xinglin Piao, and Baocai Yin. Hypergraph Association Weakly Supervised Crowd Counting. ACM Transactions on Multimedia Computing Communications and Applications. 2023, doi: 10.1145/3594670. (SCI Q3, IF: 5.1)

(9) Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, and Baocai Yin. Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems. 2023, 24(4) : 3855-3867. (SCI Q1, IF: 8.5)

(10) Mengran Li, Yong Zhang, Xiaoyong Li, Yuchen Zhang, and Baocai Yin. Hypergraph Transformer Neural Networks. ACM Transactions on Knowledge Discovery from Data. 2023, 17(5) : 1-22. (SCI Q3, IF: 4.3)

(11) Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, and Baocai Yin. STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. IEEE Transactions on Big Data. 2023, 9(1) : 200-211. (SCI Q2, IF: 7.2)

(12) Xiulan Wei, Yong Zhang, Yun Wei, Yongli Hu, Shuzhen Tong, Wei Huang, and Jinde Cao. Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application. IEEE Transactions on Neural Networks and Learning Systems. 2023, 34(1) : 157-170. (SCI Q1, IF: 10.4)

(13) Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu ,and Baocai Yin. CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(4) : 3471-3483. (SCI Q1, IF: 8.9)

(14) Guangyu Huo, Yong Zhang, Boyue Wang, Yongli Hu, and Baocai Yin. Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(3) : 2623- 2636. (SCI Q1, IF: 8.5)

(15) Yang Wang, Yong Zhang, Lixun Wang, Yongli Hu, and Baocai Yin. Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization. IEEE Transactions on Intelligent Transportation Systems. 2022, 23(8) : 12752-12765. (SCI Q1, IF: 8.5)

(16) Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, and Baocai Yin. Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks. IEEE Transactions on Intelligent Transportation Systems. 2021, 22(12) : 7891-7903. (SCI Q1, IF: 8.5)

(17) Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang, Yongli Hu, and Baocai Yin. A low rank dynamic mode decomposition model for short-term traffic flow prediction. IEEE Transactions on Intelligent Transportation Systems. 2021, 22(10) : 6547-6560. (SCI Q1, IF: 8.5)

(18) Xia Zhao, Yong Zhang, Yongli Hu, Shun Wang, Yunhui Li, Sean Qian, and Baocai Yin. Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data. IEEE Transactions on Intelligent Transportation Systems. 2021, 22(8) : 4825-4837. (SCI Q1, IF: 8.5)

(19) Liu Wang, Yong Zhang, Xia Zhao, Hao Liu, and Ke Zhang. Irregular Travel Groups Detection Based on Cascade Clustering in Urban Subway. IEEE Transactions on Intelligent Transportation Systems. 2020, 21(5) : 2216-2225. (SCI Q1, IF: 8.5)

(20) Yang Wang, Yong Zhang, Xinglin Piao, Hao Liu, and Ke Zhang. Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations. IEEE Transactions on Intelligent Transportation Systems. 2019, 20(4) : 1531-1543. (SCI Q1, IF: 8.5)

Personal Statement

Welcome students majoring in control, computer science, software, and other related fields to apply for master's and doctoral degrees in this field.