Department of Computer Science and Technology, Nanjing University
163# Xianlin Road, Nanjing 210023, Jiangsu, China
Computer Building 817
Tel: +86 25 83686590
Software Defect Localization
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% )