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副研究員
葉彌妍 Mi-Yen Yeh

Associate research fellow
Ph.D., Electrical Engineering, National Taiwan University
Tel: +886-2-2788-3799 ext. 1412 Fax: +886-2-2782-4814
Email: miyen@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/miyen

● Associate research fellow, IIS, Research Description
Academia Sinica (2014-now)
● Assistant research fellow, IIS, My research interests cover the area of data mining and databases. I have been focusing
Academia Sinica (2009-2014) on designing e ective and e cient data analysis methods on ordered data and social net-

● Visiting Scholar, Simon Fraser works. Ordered data are common in real-world applications. For example, time series such
University, Burnaby, BC Canada as sensor readings, GPS trajectories, are data ordered in time; text and DNA sequences are
(May 2012 – July 2012) character strings organized in some semantic or functional order. Given ordered data, I

● Visiting Researcher, Microsoft Re- have identi ed three important directions to focus on: error reduction for similarity search,

search Asia, Beijing, China (June uniqueness sequence identi cation, and the moving behavior analysis from trajectories.
2011 – September 2011) In addition, acknowledging the fast-growing scale of the modern social networks and the
● Postdoctoral researcher, CITI, challenges imposed in analyzing them, I have been focusing on designing sampling and
Academia Sinica (February 2009 - summarization algorithms for heterogeneous social networks to preserve or extract their
September 2009) key parameters, structure and semantic information.
● Visiting Scientist, IBM T. J. Watson I am also interested in issues about data management in ash-based storage system. Flash

Research Center, Hawthorne,
NY, USA (September 2007 – July memory has become a popular storage medium for mobile devices and even servers due

2008) to its rapid increasing capacity. Also, it is now more practical than ever to use ash mem-
ory storage systems to support data manipulation for various applications. Because of the

unique characteristics of ash memory such as non-volatility, out-place update, and limited
erasing count per block, there is strong demand on ash-friendly algorithm designs to re-

solve reliability and performance concerns for data manipulation over ash memory. Motivated by this, my team have been working on

designing ash-friendly algorithms for the three important data operations, including the designs of database indexing, logging and

recovery, and caching over ash memory.
Publications

1. Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian 6. Jian Pei, Wush Chi-Hsuan Wu, and Mi-Yen Yeh, “On Shortest
th
Pei, “What Distinguish One from Its Peers in Social Net- Unique Substring Queries,” Proc. of the 29 IEEE Interna-
works,” Data Mining and Knowledge Discovery, special issue tional Conference on Data Engineering (ICDE-2013), April
of ECML/PKDD 2013 journal track, Volume 27, Issue 3, pp. 8-12, 2013.
396-420, Springer, July, 2013.
7. Hua-Wei Fang, Mi-Yen Yeh, and Tei-Wei Kuo, “MLC-Flash-
2. Pei-Lun Suei, Mi-Yen Yeh, Tei-Wei Kuo, “Endurance-Aware Friendly Logging and Recovery for Databases,” Proc. of the
Flash-Cache Management for Storage Servers,” IEEE Trans. 28 ACM Symposium on Applied Computing (SAC-2013),
th
on Computers, preprint, 2013. March 18-22, 2013. (Best paper award)

3. Huey-Ru Wu, Mi-Yen Yeh, and Ming-Syan Chen, “Profiling 8. Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Jian Pei, “Random
Moving Objects by Dividing and Clustering Trajectories Spa- Error Reduction in Similarity Search on Time Series: A Sta-
tiotemporally,” IEEE Trans. on Knowledge and Data Engi- tistical Approach,” Proceedings of the 28 IEEE International
th
neering, Vol. 25 , Issue 11, pp.2615 – 2628, Nov. 2013. Conference on Data Engineering (ICDE-2012), April 1-5,
2012.
4. Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, and

Phillip Gibbons, “Communication-Efficient Distributed Mul- 9. Mi-Yen Yeh, Kung-Lung Wu, Philip S. Yu, and Ming-Syan
tiple Reference Pattern Matching for M2M Systems,” Proc. Chen, “LEEWAVE: Level-Wise Distribution of Wavelet

of the 2013 IEEE International Conference on Data Mining Coefficients for Processing kNN Queries over Distributed
th
(ICDM-2013), December 2013. Streams,” Proceedings of the 34 International Conference
on Very Large Data Bases (VLDB-2008), August 24-30, 2008.

5. Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, “An Effi-
cient Approach to Updating Closeness Centrality and Average 10. Mi-Yen Yeh, Bi-Ru Dai, and Ming-Syan Chen, “Clustering
Path Length in Dynamic Networks,” Proc. of the 2013 IEEE over Multiple Evolving Streams by Events and Correlations,”
International Conference on Data Mining (ICDM-2013), De- IEEE Transactions on Knowledge and Data Engineering, Vol.
cember 2013. 19, No. 10, pp. 1349-1362, October 2007.

86 研究人員 Research Faculty