Feng Xu

徐 锋

Feng Xu

Ph.D., Professor
Department of Computer Science and Technology, Nanjing University
163# Xianlin Road, Nanjing 210023, Jiangsu, China
Computer Building 817
Tel: +86 25 83686590

Research interests

  • Software Defect Localization
  • Data Mining
  • Recommender Systems
  • Trust Management

Some recent publications

  • Xiaofei Zhang, Yuan Yao, Yaojing Wang, Feng Xu, and Jian Lu, “Exploring Metadata in Bug Reports for Bug Localization” , APSEC 2017 (24th Asia-Pacific Software Engineering Conference), 2017
  • Yuan Yao, Hanghang Tong, Feng Xu, and Jian Lu, “Scalable Algorithms for CQA Post Voting Prediction”, IEEE Transactions on Knowledge and Data Engineering, 2017
  • Yuan Yao, Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, and Jian Lu, “Version-Aware Rating Prediction for Mobile App Recommendation”, ACM Transactions on Information Systems, 2017
  • Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, and Jian Lu, “Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation” , in CIKM, Indianapolis, USA, October 24-28 , 2016
  • Licheng Li, Yuan Yao, Feng Xu, Jian Lu. MATAR: Keywords Enhanced Multi- Label Learning for Tag Recommendation. The 17th Asia-Pacific Web Conference (APWeb), 2015.
  • Guo Yan, Yuan Yao, Feng Xu, Jian Lu. RIT: Enhancing Recommendation with Inferred Trust. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 756–767, 2015.
  • Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu. Detect- ing High-quality Posts in Community Question Answering Sites. Information Sciences, vol. 302, pp. 70-82, 2015.
  • Xiaoyu Chen, Yuan Yao, Feng Xu, Jian Lu, Exploring Review Content for Recommendation via Latent Factor Model, PRICAI'14 (The 13th Pacific Rim International Conference on Artificial Intelligence), 1 - 5 December, 2014, Gold Coast, Australia.
  • Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw Szymanski, Jian Lu, Dual-Regularized One-Class Collaborative Filtering, CIKM'14 (The 23rd ACM International Conference on Information and Knowledge Management), 3 - 7 November, 2014, Shanghai, China.
  • Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu, Predicting Long-Term Impact of CQA Posts: A Comprehensive Viewpoint, KDD'14 (The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining), 24 - 27 August, 2014, New York, USA. (acceptance rate 14.6% )

(A full list...)



  • 2006: 国家科技进步二等奖
  • 2010: 教育部高校优秀科研成果技术发明一等奖

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