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===== Research Interest ===== | ===== Research Interest ===== | ||
- | * Machine Learning | + | * Data Mining |
- | * Big Data | + | |
- | * Randomized Numerical Linear Algebra | + | |
===== Publications ===== | ===== Publications ===== | ||
- | * “FROSH: FasteR Online Sketching Hashing”, Xixian Chen, Irwin King, and Michael R. Lyu, in Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI 2017), Sydney, Australia, August 11–15, 2017. | + | * “FROSH: FasteR Online Sketching Hashing”, Xixian Chen, Irwin King, and Michael R. Lyu. |
- | * “Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data”, Xixian Chen, Michael R. Lyu, and Irwin King, in Proceedings of the Thirty-Fourth International Conference on Machine Learning (ICML 2017), Sydney, Australia, August 6–11, 2017. | + | * “Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data”, Xixian Chen, Michael R. Lyu, and Irwin King. |
- | * "Training-Efficient Feature Map for Shift-Invariant Kernels", Xixian Chen, Haiqin Yang, Irwin King, and Michael R. Lyu, in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25–31, 2015. | + | * "Training-Efficient Feature Map for Shift-Invariant Kernels", Xixian Chen, Haiqin Yang, Irwin King, and Michael R. Lyu. |