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Associate Research Fellow  |  Yeh, Mi-Yen  
 
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Publications
 
Journal Articles
 
1. Su-Chen Lin, Mi-Yen Yeh, and Ming-Syan Chen, "Non-overlapping Subsequence Matching of Stream Synopses," to appear in IEEE Tans. on Knowledge and Data Mining.
2. Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei, Tei-Wei Kuo, "An Adaptive Endurance-Aware B+-Tree for Flash Memory Storage Systems," IEEE Transactions on Computers, volume 63, number 11, pages 2661 - 2673, November 2014.
3. Pei-Lun Suei, Mi-Yen Yeh, Tei-Wei Kuo, "Endurance-Aware Flash-Cache Management for Storage Servers," IEEE Transactions on Computers, volume 63, number 10, pages 2416-2430, October 2014.
4. Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei, "What Distinguish One from Its Peers in Social Networks," Data Mining and Knowledge Discovery, volume 27, number 3, pages 396-420, November 2013, (ECMLPKDD 2013 Journal track)
5. Huey-Ru Wu, Mi-Yen Yeh, and Ming-Syan Chen, "Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally," IEEE Tans. on Knowledge and Data Mining, volume 25, number 11, pages 2615 - 2628, November 2013.
6. Mi-Yen Yeh, Bi-Ru Dai, and Ming-Syan Chen, "Clustering over Multiple Evolving Streams by Events and Correlations," IEEE Tans. on Knowledge and Data Mining, volume 19, number 10, pages 1349-1362, October 2007.
7. Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, and Ming-Syan Chen, "Adaptive Clustering for Multiple Evolving Streams," IEEE Tans. on Knowledge and Data Mining, volume 18, number 9, pages 1166-1180, January 2006.
 
 
Conference Papers
 
1. Chien-Wei Chang, Mi-Yen Yeh, and Kun-Ta Chuang, "On the Guarantee of Containment Probability in Influence Minimization," The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-2016), August 2016.
2. Yu-Jen Lin, Fang-Yi Chiu, Mi-Yen Yeh, Ya-Hui Chan and Chia-Chi Wu, "Predicting Popularity of Articles on Bulletin Board System," The 3rd Int'l Conf. on Big Data and Smart Computing, January 2016.
3. Jhao-Yin Li, Mi-Yen Yeh, Ming-Syan Chen, and Jihg-Hong Lin, "Modeling Social Influences from Call Records and Mobile Web Browsing Histories (Extended Abstract)," 2015 IEEE International Conference on Big Data (Big Data 2015), October 2015.
4. Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip Gibbons, and Claudia Eckert, "Learning Better while Sending Less: Communication-Efficient Online Semi-Supervised Learning in Client-Server Settings," the 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), October 2015.
5. Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, and Phillip B. Gibbons, "Bandwidth-Efficient Distributed k-Nearest-Neighbor Search with Dynamic Time Warping," 2015 IEEE International Conference on Big Data (Big Data 2015), October 2015.
6. Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh, "The Roles of Network Communities in Social Information Diffusion," 2015 IEEE International Conference on Big Data (Big Data 2015), October 2015.
7. Shan-Yun Teng, Mi-Yen Yeh, and Kun-Ta Chuang, "Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network," 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-2015), August 2015.
8. Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Ming-Syang Chen, "Predicting Winning Price in Real Time Bidding with Censored Data," 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), August 2015.
9. Chien-Wei Chang, Mi-Yen Yeh, and Kun-Ta Chuang, "On Influence Maximization to Target Users in the Presence of Multiple Acceptances," 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-2015), August 2015.
10. Cheng-Te Li, Yu-Ren Lin, and Mi-Yen Yeh, "Trend-based Citation Count Prediction for Research Articles," Proc. of the 19th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-15), Lecture Notes in Artificial Intelligence, May 2015.
11. Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip Gibbons, V. Srinivasa Somayazulu and Yen-Kuang Chen, "Communication-Efficient Multi-view Keyframe Extraction in Distributed Video Sensors," The IEEE Visual Communications and Image Processing Conference (IEEE VCIP), December 2014.
12. Jun-Li Lu, Ling-Yin Wei and Mi-Yen Yeh, "Influence Maximization in a Social Network in the Presence of Multiple Influences and Acceptances," The 2014 International Conference on Data Science and Advanced Analytics (DSAA-2014), October 2014.
13. Wan-Hsin Tang, Mi-Yen Yeh and Anthony J.T. Lee, "Information Diffusion among Users on Facebook Fan Pages over Time: Its Impact on Movie Box Office," The 2014 International Conference on Data Science and Advanced Analytics (DSAA’2014), October 2014.
14. Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, "An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks," Proc. of the 2013 IEEE International Conference on Data Mining (ICDM-2013), December 2013.
15. Ling-Yin Wei, Mi-Yen Yeh, Grace Lin, Ya Hui Chan and Wei Jung Lai, "Discovering Point-of-Interest Signatures Based on Group Features from Geo-social Networking Data," 2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI-2013), December 2013.
16. Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, and Phillip Gibbons, "Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems," Proc. of the 2013 IEEE International Conference on Data Mining (ICDM-2013), December 2013.
17. Jen-Hai Chou and Mi-Yen Yeh, "An Anonymous Matching System Based on Mobile Numbers," The 11th International Conference on Mobile Systems, Applications and Services (MobiSys 2013), June 2013.
18. Jian Pei, Wush Chi-Hsuan Wu, and Mi-Yen Yeh, "On Shortest Unique Substring Queries," Proc. of the 29th IEEE International Conference on Data Engineering (ICDE-2013), April 2013.
19. Hao-Hsiang Wu and Mi-Yen Yeh, "Influential Nodes in One-Wave Diffusion Model for Location-Based Social Networks," Proc. of the 17th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2013), Lecture Notes in Artificial Intelligence, April 2013.
20. Hua-Wei Fang, Mi-Yen Yeh, and Tei-Wei Kuo, "MLC-Flash-Friendly Logging and Recovery for Databases," Proc. of the 28th ACM Symposium on Applied Computing (SAC-2013), March 2013.
21. Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Jian Pei, "Random Error Reduction in Similarity Search on Time Series: A Statistical Approach," The 28th IEEE International Conference on Data Engineering (ICDE-2012), April 2012.
22. Jun-Li Lu, Mi-Yen Yeh, Yu-Ching Hsu, Shun-Neng Yang, Chai-Hien Gan, Ming-Syan Chen, "Operating Electric Taxi Fleets: A New Dispatching Strategy with Charging Plans," 2012 IEEE International Electric Vehicle Conference (IEVC-2012), March 2012.
23. Kai-Ping Chang, Ling-Yin Wei, Mi-Yen Yeh, and Wen-Chih Peng, "Discovering Personalized Routes from Trajectories," 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011), held in conjunction with ACM SIGSPATIAL GIS 2011, November 2011.
24. Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei and Tei-Wei Kuo, "A Flash-Friendly B+-Tree with Endurance-Awareness," The 9th IEEE/ACM Symposium on Embedded Systems for Real-Time Multimedia, October 2011.
25. Jhao-Yin Li and Mi-Yen Yeh, "On Sampling Type Distribution from Heterogeneous Social Network," 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Lecture Notes in Artificial Intelligence, May 2011.
26. Jason Chang and Mi-Yen Yeh, "Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors," Parallel Data-Mining Workshop (PDM 2011) held in conjunction with 2011 SIAM International Conference on Data Mining (SDM 2011), April 2011.
27. Su-Chen Lin, Mi-Yen Yeh, and Ming-Syan Chen, "Subsequence Matching of Stream Synopses under the Time Warping Distance," The 14th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2010), Lecture Notes in Artificial Intelligence, June 2010.
28. Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, and Ming-Syan Chen, "PROUD: A Probabilistic Approach to Processing Similarity Queries over Uncertain Data Streams," the 12th Intern'l Conf. on Extending Database Technology (EDBT-2009), March 2009.
29. Mi-Yen Yeh, Kung-Lung Wu, Philip S. Yu, and Ming-Syan Chen, "LEEWAVE: Level-Wise Distribution of Wavelet Coefficients for Processing kNN Queries over Distributed Streams," the 34th Intern'l Conf. on Very Large Data Bases (VLDB-2008), August 2008.
30. Mi-Yen Yeh, Bi-Ru Dai and Ming-Syan Chen, "COMET: Event-Driven Clustering over Multiple Evolving Streams," the 10th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2006), Lecture Notes in Artificial Intelligence, April 2006.
31. Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, and Ming-Syan Chen, "Clustering on Demand for Multiple Data Streams," the IEEE 4th Intern'l Conf. on Data Mining (ICDM-2004), 2004.
 
 
 
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