Hao Zhong and Na Meng. Towards reusing hints from past fixes -An exploratory study on thousands of real samples. Empirical Software Engineering, 23(5), pages 2521-2549, 2018. Accepted by ICSE 2018 as a journal first paper.
Xuliang Liu and Hao Zhong. Mining StackOverflow for program repair. In Proc. International Conference on Software Analysis, Evolution, and Reengineering (SANER), pages 118-129, 2018.
Ye Wang, Na Meng, and Hao Zhong. An empirical study of multi-entity changes in real bug fixes. In Proc. International Conference on Software Maintenance and Evolution (ICSME), pages 287--298, 2018.
Ye Wang, Na Meng, and Hao Zhong. CMSuggester: Method change suggestion to complement multi-entity edits. In Proc. The Annual Conference on Software Analysis, Testing and Evolution (SATE), pages 137-153, 2018.
Shufan Zhou, Hao Zhong and Beijun Shen. SLAMPA: Recommending code snippets with statistical language model. In Proc. Asia-Pacific Software Engineering Conference (APSEC), pages to appear, 2018.
Yi Zhao, Yong Huang, Yanyan Shen. DMDP2: A Dynamic Multi-source Based Default Probability Prediction Framework. In Proceedings of the Asia Paci c Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM), 2018.
Zhaoyang Liu, Yanyan Shen, Yanmin Zhu. Inferring Dockless Shared Bike Dis- tribution in New Cities. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), pages 378-386, 2018
Xian Zhou, Yanyan Shen, Yanmin Zhu, Linpeng Huang. Predicting Multi-step Citywide Passenger Demands using Attention-based Neural Networks. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), pages 736-744, 2018.
Kaixin Huang, Shengan Zheng, Yanyan Shen, Yanmin Zhu and Linpeng Huang. An Adaptive Eviction Framework for Anti-caching Based In-Memory Databases. In Proceedings of the 23rd International Conference on Database Systems For Advanced Applications (DASFAA), 2018.
Jingze Cui, Xian Zhou, Yanmin Zhu, Yanyan Shen. A Road-Aware Neural Net- work for Multi-step Vehicle Trajectory Prediction. In Proceedings of the 23rd International Conference on Database Systems For Advanced Applications (DASFAA), 2018.
Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. A Neural Atten- tion Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. In Proceedings of the 32nd AAAI Conference on Arti cial Intelligence (AAAI), 2018.
Bowen Zhang, Yanyan Shen, Yanmin Zhu, Jiadi Yu. A GPU-accelerated Frame- work for Processing Trajectory Queries. In Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), 2018.
Yanyan Shen, Jinyang Gao. Re ne or Represent: Residual Networks with Ex- plicit Channel-wise Con guration. In Proceedings of the 41st International Joint Conference on Arti cial Intellegence (IJCAI), 2018.
Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang. DELF: A Dual- Embedding based Deep Latent Factor Model for Recommendation. In Proceedings of the 41st International Joint Conference on Arti cial Intellegence (IJCAI), 2018.
Zhaoyang Liu, Yanyan Shen, Yanmin Zhu. Where Will Dockless Shared Bikes be Stacked? { Parking Hotspots Detection in a New City. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
Ranzhen Li, Yanyan Shen, Yanmin Zhu. Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention. In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM), 2018.
Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao. Forecasting Wavelet Trans- formed Time Series with Attentive Neural Networks. In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM), 2018.
