个人简介：周正阳，中国科大软件学院特任副研究员。周正阳于2023年6月在中国科学技术大学计算机系获博士学位。主要研究领域是时空数据挖掘与城市计算，致力于提升深度时空学习模型精准性、可靠性和泛化性，赋能交通预测、城市安全、污染治理等领域，推动城市治理科学化与现代化。近五年来，周正阳博士共发表第一作者/通讯作者学术论文10余篇，其中第一/通讯作者CCF-A类会议/期刊、高水平IEEE汇刊及中文CCF-A类期刊等A类成果共9篇，CCF-B类共2篇。截至目前，周正阳担任CVPR、AAAI、ICCV、ICML、KDD等在内的CCF-A类会议十余次，其研究成果谷歌学术引用近200次，H-index=7。攻读博士学位期间，周正阳获中国科学院院长奖、中国科大校优博论文提名奖、国家奖学金、校优秀毕业生、之江国际青年人才基金等荣誉及奖励。

电子邮箱：zzy0929@ustc.edu.cn    

联系地址：江苏省苏州市工业园区若水路99号至德楼A楼1302-2

个人主页：http://home.ustc.edu.cn/~zzy0929/Home/

主要研究方向、学术成就及创新点：

研究方向：

1.时空数据挖掘与城市计算

2.面向时空计算的深度学习模型泛化与迁移

3.图表征学习

承担科研项目情况

面向稀疏感知的时空数据挖掘研究  之江国际青年人才基金 2021.01-2021.12 主持。

重要科研获奖情况：

中国科学院院长奖（优秀奖）, 中国科学院， 2023.06

中国科大优秀博士学位论文提名奖，中国科学技术大学，2023.06

之江国际青年人才基金，之江实验室，2020.12

学术论文及著作

[1]    Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, Lei Bai, Yang Wang*, GReTo: Remedying dynamic graph topology-task discordance via target homophily. The International Conference on Learning Representations (ICLR), 2023. (机器学习领域顶级会议)

[2]  Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang. Maintaining the status quo: Capturing invariant relations for OOD spatiotemporal learning. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data mining (KDD). Long Beach, USA, 2023. Accepted.(CCF-A)

[3]  Zhengyang Zhou, Yang Wang*, Xike Xie, Lei Qiao, Yuantao Li, STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility, 30th The Web Conference (WWW), 2021. (CCF-A)

[4]  Zhengyang Zhou, Yang Wang*, Xike Xie, Lianliang Chen, Chaochao Zhu, Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF-A, IF = 9.235)

[5] Zhengyang Zhou, Yang Wang*, Xike Xie, Lianliang Chen, Hengchang Liu, RiskOracle: A Minute-level CityWide Traffic Accident Forecasting Framework, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A)

[6]  Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang*, Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. SIAM International Conference on Data Mining (SDM), 2023. (CCF-B)

[7]    周正阳，刘浩，王琨，王鹏焜，王旭，汪炀*, 基于教师-学生时空半监督网络的城市事件预测方法, 电子学报, 2022, Accepted. (CCF推荐A类中文期刊)

[8]  Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang*. Predicting collective human mobility via countering spatiotemporal heterogeneity. IEEE Transactions on Mobile Computing, IEEE TMC (CCF-A, IF= 7.9), Accepted.

[9]  Yang Wang*, Zhengyang Zhou, Kai Liu, Xike Xie, Wenhua Li, Large-Scale Intelligent Taxicab Scheduling: A Distributed and Future-Aware Approach, IEEE Transactions on Vehicular Technology, (TVT), 2020. (JCR一区，IF = 6.239)

[10]  Kuo Yang, Zhengyang Zhou*, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang*. EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A, 共同通讯作者)

[11]  Zhengyang Zhou. Attention Based Stack ResNet for Citywide Traffic Accident Prediction. 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2019: 369-370. (PhD Forum)

[12]  Zhengyang Zhou, Lianliang Chen, Chaochao Zhu, and Pengkun Wang. Stack ResNet For Short-term Accident Risk Prediction Leveraging Cross-domain Data. 2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019. 782-787.

[13]  Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou*, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, ACM International Conference on Web Search and Data Mining (WSDM), 2022. (CCF-B，共同通信作者)

[14] Kun Wang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Qi Fang, Yang Wang*, A2DJP: A Two Graph-based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF-A)

[15]  Pengkun Wang, Chaochao Zhu, Xu Wang, Zhengyang Zhou, Guang Wang, Yang Wang*, Inferring Intersection Traffic Patterns with Sparse Video Surveillance Information: An ST-GAN method., IEEE Transactions on Vehicular Technology (TVT), 2022. (JCR一区)

[16] Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang*, A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. ACM International Conference on Web Search and Data Mining (WSDM), 2023. (CCF-B)

[17]  Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang*, Deciphering Urban Traffic Impacts on Air Quality by Deep Learning and Emission Inventor, Journal of Environmental Sciences (JESC), 2022. (JCR一区)

[18]  Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang*, Joint Gated Co-attention Based Multi-modal Networks for Subregion House Price Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF-A)

[19]  Kangjia Shao, Yang Wang*, Zhengyang Zhou, Xike Xie, Guang Wang, TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?, IEEE 37th International Conference on Data Engineering (ICDE), 2021. (CCF-A)