Ying Chen

Ying Chen is an associate professor of at College of Information and Electrical Engineering, China Agricultural University.She received her Ph.D. in Computer Science from University of Colorado at Boulder in 2008. Her research fields are data mining and natural language processing. For data mining, her research interest focuses on trajectory data mining. For natural language processing, her research interests focus on emotion analysis and information extraction.

 Data Mining and Natural Language Processing

• 2016.01 - 2018.12, from the National Natural Science Foundation of China

     A weakly-supervised learning method to extract fruit variety information

• 2017.12 - 2018.06, from Agricultural Information Institute of CAAS

     Academic paper classification for the analysis of disciplinary competitiveness ability

• 2017.10 - 2017.12, from Tianjin University of Science & Technology 

     Information extraction for food safety incidents based on large-scaled online news reports

• 2014.07 - 2015.01, from Ministry of Public      

     Security Recognition and analysis of sensitive information in large-scaled news reports

Conference Paper

2020

Ying Chen, Wenjun Hou, Shoushan Li, Caicong Wu, Xiaoqiang Zhang. 2020. End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network. In Proceedings of the 28th International Conference on Computational Linguistics, pages 198–207, Barcelona, Spain (Online), December 8-13, 2020

2019

Wenjun Hou, Ying Chen. 2019. CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection. In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda, pages 83-86.

2018

Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li.Joint Learning for Emotion Classification and Emotion Cause Detection. In Proceedings ofthe 2018 Conference on Empirical Methods in Natural Language Processing,pages 646–651,Brussels, Belgium, October 31 - November 4, 2018.

Ying Chen, Wenjun Hou, Xiyao Cheng. Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs. In Proceedings ofthe 27th International Conference on Artificial Neural Networks, Pages 115-122, October 4, 2018 - October 7, 2018.  

Journals

1. Gang Li,et.al. 2020. Comparison model learning methods for methane emission prediction of reservoirs on a regional field scale: Performance and adaptation of methods with different experimental datasets.Ecological Engineering, Volume 157, 1 October 2020, 105990. [并列通讯作者，SCI Impact Factor = 3.512]

2. Xiyao Cheng, Ying Chen, Bixiao Cheng, Shoushan Li, Guodong Zhou. 2017. An Emotion Cause Corpus for Chinese Microblogs with Multiple-User Structures. In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP),Volume 17 Issue 1, November 2017. [通讯作者，SCI]

3. Lee, Sophia Yat Mei, Ying Chen, Chu-Ren Huang and Shoushan Li. 2013. Detecting Emotion Causes with A Linguistic Rule-based Approach. In Computational Intelligence, v 29, n 3, p 390-416, August 2013. [通讯作者，SCI]

4. Chen, Ying, Sophia Yat Mei Lee and Chu-Ren Huang.2012. A Robust Web Personal Name Information Extraction System. In Expert Systems With Applications, Volume 39, Issue 3, 15 February 2012. [第一作者，SCI]

5. 陈瑛，陈昂轩，董玉博，赵筱钰，侯文俊. 基于LSTM的食品安全自动问答系统方法研究. 农业机械学报, 2019年7月,第50卷增刊. [第一作者，EI]

The software works Patent