- Chuan Xiao, Wei Wang, XUEMIN LIN, Haichuan Shang, Top-k Set Similarity Joins , in the Proceedings of 25th IEEE Intational Conference on Data Engineering (ICDE09), pages 916-927, Shanghai, China.
- Yufei Tao (CUHK), Ling Ding (CUHK), XUEMIN LIN, Jian Pei (SFU),
Distance-based Representative Skyline , in the Proceedings of 25th IEEE Intational Conference on Data Engineering (ICDE09), pages 892-903, Shanghai, China.
- J. Pei, B. Jiang, X. LIN, and Y. Yuan. Probabilistic Skylines on
Uncertain Data . In Proceedings of the 33rd International Conference
on Very Large Data Bases (VLDB'07), pages 15-26, Vienna, Austria, September 23-28
2007.
- K. Deng, X. Zhou, H.T. Shen, Q. Liu, K. Xu, X. LIN,
A Multi-resolution Surface Distribution Model for k-NN Query Processing ,
VLDB Journal , 17(5), pages 1101-1119, 2008.
- B. Ding, J.X. Yu, S. Wang, L. Qing, X. Zhang, X. LIN, Finding Top-k
Min-Cost Connected Trees in Databases,
IEEE 23rd International Conference on
Data Engineering (ICDE'07, Best Student Paper Award), pages 836-845, 2007.
- J. Pei, Y. Yuan, X. LIN, W. Jin, M. Ester, Q. Liu, W. Wang, Y. Tao, J.X.
Yu, Q. Zhang, Towards Multidimensional Subspace Skyline Analysis,
ACM Transactions on Database Systems (TODS)
31(4), pages 1335-1381, 2006.
- X. LIN, J. Xu, Q. Zhang, H. Lu, J.X. Yu, X. Zhou, Y. Yuan,
Approximate Processing of Massive Continuous Quantile Queries over High Speed
Data Streams, IEEE Transactions on Knowledge and Data
Engineering (TKDE), Vol.18, No.5, pages 683-698, May, 2006.
- K. Deng, X. Zhou, H.T. Shen, K. Xu, X. LIN,
Surface kNN Query Processing, in the proceedings of 22nd
International Conference on Data Engineering (ICDE06), page 78.
- Y. Yuan, X. LIN, Q. Liu, W. Wang, J.X. Yu, & Q.
Zhang, Efficient Computation of the Skyline Cube ,
The Proceedings of 31th International Conference on Very Large
Databases (VLDB 2005), pages 241-252,
Trondheim, Norway, 2005.
- W. Wang, H. Wang, H. Lu, H. Jiang, X. LIN,
& J. Li, Efficient Processing of XML Path Queries Using the
Disk-based F&B
Index, The Proceedings of 31th International Conference on Very Large
Databases (VLDB 2005), pages 145-156, Trondheim,
Norway, 2005.
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