DDST数据驱动软件技术实验室Data Driven Software Technology





沈艳艳,博导,上海交通大学计算机系副教授。本科毕业于北京大学,博士毕业于新加坡国立大学。博士期间,多次赴美国AT&T香农实验室和微软研究院进行学术访问。主要研究:大数据分析与挖掘、机器学习等。发表学术论文90余篇,谷歌学术引用超过2500次,获ICDE2023最佳论文、VLDB2022最佳研究论文、APWeb-WAIM2018最佳学生论文。担任CCF数据库专业委员会委员,任数据库顶刊TKDE和VLDB Journal编委,多次担任SIGMOD/VLDB/ICDE/KDD等顶会的程序委员会委员。主持国家重点研发计划课题、自然科学基金青年基金等项目。


[see full list from: Google Scholar]

[1] Yi Zhao, Yanyan Shen, Junjie Yao. Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections. In IJCAI, 2019.
[2] Yanan Xu, Yanmin Zhu, Yanyan Shen, Jiadi Yu. Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation. In IJCAI, 2019.
[3] Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu. Incorporating Interpretability into Latent Factor Models via Fast Infuence Analysis. In KDD, 2019. (research track, oral) 
[4] Shimin Di, Yanyan Shen, Lei Chen. Relation Extraction via Domain-aware Transfer Learning. In KDD, 2019. (research track, oral)
[5] Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao. Forecasting Wavelet Transformed Time Series with Attentive Neural Networks. In ICDM, 2018. 
[6] Ranzhen Li, Yanyan Shen, Yanmin Zhu. Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention. In ICDM, 2018. 
[7] Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. In IJCAI, 2018.
[8] Yanyan Shen, Jinyang Gao. Refine or Represent: Residual Networks with Explicit Channel-wise Configuration. In IJCAI, 2018.
[9] Zhaoyang Liu, Yanyan Shen, Yanmin Zhu. Where Will Dockless Shared Bikes be Stacked? -- Parking Hotspots Detection in a New City. In KDD, 2018. (oral)
[10] Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen. Transfer Learning via Feature Isomorphism Discovery. In KDD, 2018.
[11] Bowen Zhang, Yanyan Shen, Yanmin Zhu, Jiadi Yu. A GPU-accelerated Framework for Processing Trajectory Queries. In ICDE, 2018. 
[12] Xian Zhou, Yanyan Shen, Yanmin Zhu, Linpeng Huang. Predicting Multi-step Citywide Passenger Demands using Attention-based Neural Networks. In WSDM, pages 736-744, 2018.
[13] Zhaoyang Liu, Yanyan Shen, Yanmin Zhu. Inferring Dockless Shared Bike Distribution in New Cities. In WSDM, pages 378-386, 2018.
[14] Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. In AAAI, 2018.


[1] National Key Research and Development Program of China: "Legal Case Evaluation and Multi-departmental Collaboration" (PI, No. 2018YFC0831604) 2018-2021.
[2] NSFC: "Latent Semantic Analysis based Multi-Source Data Fusion Techniques" (PI, No. 61602297) 2017-2019.