Xin Mu

According to our database, Xin Mu authored at least 8 papers between 2016 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Social Stream Classification with Emerging New Labels.

Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Unsupervised User Identity Linkage via Factoid Embedding.

Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees.

Xin Mu, Kai Ming Ting, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2017

Cost-Effective Active Learning from Diverse Labelers.

Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework.

Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Large-scale point-of-interest category prediction using natural language processing models.

Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang

Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Streaming Classification with Emerging New Class by Class Matrix Sketching.

Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

User Identity Linkage by Latent User Space Modelling.

Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016