Feng Ao

16D8F

Feng Ao, Doctor of Science, Associate Professor; Email: fengao@cuit.edu.cn

Research and postgraduate enrollment direction:

1. Natural Language Processing

2. Machine Learning and Data Mining

Profile:

His research interests include natural language processing, machine learning and data mining. He is now a teacher of the School of Computer Science of Chengdu University of Information Engineering, and once served as the vice dean of the School of Computer Science, software development engineer of Amazon. com and senior researcher of Lenovo Chengdu Research Institute. Reserve candidate for academic and technical leader of Sichuan Province, Chengdu Distinguished Expert, and person in charge of scientific research and innovation team of colleges and universities in Sichuan Province.

Dr. Feng Ao studied at Tsinghua University from 1995 to 2001. He obtained a bachelor's degree in automation in 1999 and a master's degree in pattern recognition and intelligent systems in 2001. From 2001 to 2008, he studied in the Computer Department of the University of Massachusetts Amherst, engaged in research in information retrieval models, topic detection and tracking and other fields, and obtained master's and doctoral degrees in computer science. After graduation, he successively worked in Amazon and Lenovo Chengdu Research Institute, mainly engaged in academic research and application development in the field of data mining. In 2015, he joined Chengdu University of Information Engineering, mainly engaged in machine learning, natural language processing and other research.

He has rich academic research and engineering practice experience. During his study in the United States, he worked with his colleagues to create a new research field (Incident Threading), and his representative papers were cited for more than 300 times; During his work in Amazon and Lenovo, he presided over and participated in several major projects, and some of the projects increased their annual revenue by more than 10 million yuan; He has won 9 Chinese invention patents, and was selected into the Chengdu High level Innovation and Entrepreneurship Talent Plan (long-term innovation plan) in 2012. In 2018, he became the backup candidate for academic and technical leaders in Sichuan Province.

Undertake scientific research projects:

1. Key R&D project of Sichuan Provincial Science and Technology Department, "Research and Application of Natural Language Classification Algorithms in Social Media Processing", 2020YFG0168.

2. Sichuan University Scientific Research and Innovation Team Project, "Research and Application of Intelligent Image Segmentation Based on Deep Learning", 18TD0026.

3. Sichuan Scientific and Technological Achievements Transformation Project, "Industrialized Development of Ultra light and Thin New Equipment", 2013GC0082.

Current teaching:

Introduction to Artificial Intelligence (Bilingual), undergraduate

Information retrieval, undergraduate

Algorithm Design and Analysis, Postgraduate

Published papers:

  • Ao Feng, Xuelei Zhang, Xinyu Song. Unrestricted Attention May Not Be All You Need–Masked Attention Mechanism Focuses Better on Relevant Parts in Aspect-Based Sentiment Analysis.IEEE Access, 2022, 10: 8518-8528.

  • Xuelei Zhang, Xinyu Song, Ao Feng, Zhengjie Gao. Multi-Self-Attention for Aspect Category Detection and Biomedical Multilabel Text Classification with BERT.Mathematical Problems in Engineering, 2021.

  • Chunhua Yao, Xinyu Song, Xuelei Zhang, Weicheng Zhao, Ao Feng. Multitask Learning for Aspect-Based Sentiment Classification.Scientific Programming, 2021.

  • Weikuan Wang, Ao Feng. Self-Information Loss Compensation Learning for Machine-Generated Text Detection.Mathematical Problems in Engineering, 2021.

  • Xinyu Song, Ao Feng, Weikuan Wang, et al. Multidimensional Self-Attention for Aspect Term Extraction and Biomedical Named Entity Recognition.Mathematical Problems in Engineering, 2020.

  • Ao Feng, Zhengjie Gao, Xinyu Song, Ke Ke, Tianhao Xu. Modeling Multi-Targets Sentiment Classification via Graph Convolutional Networks and Auxiliary Relation.CMC-Computers, Materials & Continua, 2020, 64(2), 909–923.

  • Zhengjie Gao, Ao Feng, Xinyu Song, et al. Target-Dependent Sentiment Classification With BERT.IEEE Access, 2019, 7: 154290-154299. (Cited 118 times in Google Scholar by 2/26/2022)

  • Ao Feng, Zhenghao Chen, Shuang Zhou, Xi Wu. Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?Proceedings of IJCNN, 2019.

  • Ao Feng, Zhenghao Chen, Zongqing Ma, Xi Wu. From Convolutional to Recurrent: Case Study in Nasopharyngeal Carcinoma Segmentation.Proceedings of FADS,2017.

  • Ao Feng, James Allan. Incident Threading for News Passages.Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 1307-1316,2009.

  • Ao Feng, James Allan. Finding and Linking Incidents in News.Proceedings of the 16th ACM Conference on Information and Knowledge Management, pp. 821-829,2007. (Cited 83 times in Google Scholar by 2/26/2022)

  • Ao Feng. Document Clustering - an Optimization Problem.Proceedings of the 30th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, pp. 819-820,2007.

  • Ao Feng, James Allan. Combining Evidence from Homologous Datasets.29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval, Proceedings of Workshop: New Directions in Multilingual Information Access, pp. 4-7, 2006.

  • Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan. Event Threading within News topics.Proceedings of the 13th International Conference on Information and Knowledge Management, pp. 446-453, 2004. (Cited 320 times in Google Scholar by 2/26/2022)

  • Margie Connell, Ao Feng, Giridhar Kumaran, Hema Ragahavan, Chrig Shah, James Allan. UMass at TDT 2004.Proceedings of TDT 2004, Gaithersburg, MD, 2004.

  • James Allan, Ao Feng, Alvaro Bolivar. Flexible Intrinsic Evaluation of Hierarchical Clustering for TDT. Proceedings of the 12th International Conference on Information and Knowledge Management,pp. 263-270,2003.

  • R. Manmatha, Ao Feng, James Allan. A Critical Examination of TDT's Cost Function.Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 403-404,2002.

  • Ao Feng, Bin Liu, Zengxiang Lu, Haiming Lu, Pu Wang, Yanda Li. Open Bookmark - an Agent-based Information Filtering System.Journal of Tsinghua University (Science and Technology), 41(3), pp. 85-88, Mar. 2001.

  • Ao Feng, Zengxiang Lu, Bin Liu, Haiming Lu, Yanda Li. Applying Information Agents in Open Bookmark Service.Proceedings of Conference on Intelligent Information Processing, 16th World Computer Congress 2000, Beijing, August 2000.

  • Ao Feng, Bin Liu, Nan Zhu. Analysis and Application of Multi-index system.Mini-micro Systems, May 2000.

  • Ao Feng, Zengxiang Lu, Bin Liu, Haiming Lu. Research on Information Evaluator in VIPU System.Computer Engineering and Design, August 2000.