Long Xia is a research scientist in Data Science Lab at JD.com. He received his Ph.D. in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences. His research interests include information retrieval, machine learning, and data mining.
- Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng. Adapting Markov decision process for search result diversification. In SIGIR ’17, Tokyo, 2017.
- Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Directly optimize diversity evaluation measures: A new approach to search result diversification. ACM Trans. Intell. Syst. Technol. 8, 3, Article 41 (Jan. 2017), 26 pages.
- Long Xia, Jun Xu, Yanyan Lan, Jiafeng guo, and Xueqi Cheng. Modeling document novelty with neural tensor network for search result diversification. In SIGIR ’16, Pisa, 2016.
- Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Learning maximal marginal relevance model via directly optimizing diversity evaluation measures. In SIGIR ’15, Santiago de Chile, 2015.