A biterm topic model for short texts X Yan, J Guo, Y Lan, X Cheng Proceedings of the 22nd international conference on World Wide Web, 1445-1456, 2013 | 1385 | 2013 |
Significance and challenges of big data research X Jin, BW Wah, X Cheng, Y Wang Big data research 2 (2), 59-64, 2015 | 1155 | 2015 |
Research status and scientific thinking of big data G Li, X Cheng Bulletin of Chinese Academy of Sciences 27 (6), 647-657, 2012 | 1067* | 2012 |
Detect overlapping and hierarchical community structure in networks H Shen, X Cheng, K Cai, MB Hu Physica A: Statistical Mechanics and its Applications 388 (8), 1706-1712, 2009 | 916 | 2009 |
A survey on sentiment detection of reviews H Tang, S Tan, X Cheng Expert Systems with Applications 36 (7), 10760-10773, 2009 | 667 | 2009 |
Btm: Topic modeling over short texts X Cheng, X Yan, Y Lan, J Guo IEEE Transactions on Knowledge and Data Engineering 26 (12), 2928-2941, 2014 | 648 | 2014 |
Text matching as image recognition L Pang, Y Lan, J Guo, J Xu, S Wan, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 615 | 2016 |
Named entity recognition in query J Guo, G Xu, X Cheng, H Li Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 528 | 2009 |
Network Big Data: Present and Future Y Wang, X Jin, X Cheng Journal of Computer 36 (6), 1125-1138, 2013 | 501* | 2013 |
Learning hierarchical representation model for nextbasket recommendation P Wang, J Guo, Y Lan, J Xu, S Wan, X Cheng Proceedings of the 38th International ACM SIGIR conference on Research and …, 2015 | 456 | 2015 |
Graph wavelet neural network B Xu, H Shen, Q Cao, Y Qiu, X Cheng arXiv preprint arXiv:1904.07785, 2019 | 423 | 2019 |
A deep architecture for semantic matching with multiple positional sentence representations S Wan, Y Lan, J Guo, J Xu, L Pang, X Cheng Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 413 | 2016 |
Survey on Big Data System and Analytic Technology X Cheng, X Jin, Y Wang, J Guo, T Zhang, G Li Journal of Software 25 (9), 1889-1908, 2014 | 402* | 2014 |
A deep look into neural ranking models for information retrieval J Guo, Y Fan, L Pang, L Yang, Q Ai, H Zamani, C Wu, WB Croft, X Cheng Information Processing & Management 57 (6), 102067, 2020 | 379 | 2020 |
Cross-domain recommendation: An embedding and mapping approach. T Man, H Shen, X Jin, X Cheng IJCAI 17, 2464-2470, 2017 | 367 | 2017 |
Predict anchor links across social networks via an embedding approach. T Man, H Shen, S Liu, X Jin, X Cheng Ijcai 16, 1823-1829, 2016 | 323 | 2016 |
Adapting naive bayes to domain adaptation for sentiment analysis S Tan, X Cheng, Y Wang, H Xu Advances in Information Retrieval: 31th European Conference on IR Research …, 2009 | 302 | 2009 |
Chinese lexical analysis using cascaded hidden markov model L Qun, Z Huaping, Y HongKui, C Xueqi Journal of computer research and development 41 (8), 1421-1429, 2004 | 274* | 2004 |
Deephawkes: Bridging the gap between prediction and understanding of information cascades Q Cao, H Shen, K Cen, W Ouyang, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 256 | 2017 |
Deeprank: A new deep architecture for relevance ranking in information retrieval L Pang, Y Lan, J Guo, J Xu, J Xu, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 250 | 2017 |