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Research Fellow/Professor | Yeh, Mi-Yen |
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Publications |
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1. |
Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, "Integrated Multi-Ported Memory Distribution for Temporal-Multiplexing Workloads on FPGAs," International Conference on Field-Programmable Technology (FPT-2023), December 2023. |
2. |
Zee Hen Tang and Mi-Yen Yeh, "EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration," 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023), October 2023. |
3. |
Chontipan Plengvittaya, Zee Hen Tang, Mi-Yen Yeh, and Chih-Ya Shen, "Boosting Patch Correctness Checking via Combining Code-Edit Embeddings as Additional What-To-Change Information," The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology ( WI-IAT 2023), October 2023. |
4. |
Yen-Ching Tseng, Zhu-Mu Chen, Mi-Yen Yeh, and Shou-De Lin, "UPGAT: Uncertainty-Aware Pseudo-Neighbor Augmented Knowledge Graph Attention Network," The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), May 2023. |
5. |
Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, "Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs," IEEE Transactions on Circuits and Systems II: Express Briefs, volume 69, number 3, pages 1617-1621, March 2022. |
6. |
Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, and Yi-Shin Chen, "NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks," 8th IEEE International Conference on Data Science and Advanced Analytics, October 2021. |
7. |
Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, and Bo-Tao Lin, "Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking," Proc. of the 25th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-2021), Lecture Notes in Artificial Intelligence, May 2021. |
8. |
Zhu-Mu Chen, Mi-Yen Yeh, and Tei-Wei Kuo, "PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding," The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021. |
9. |
Han-Hsien Huang and Mi-Yen Yeh, "Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization," The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021. |
10. |
Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, and Yi-Shin Chen, "Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning," The 2020 international conference series on Advances in Social Network Analysis and Mining (ASONAM 2020), December 2020. |
11. |
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, and Shou-De Lin, "Attribute-aware Recommender System based on Collaborative Filtering: Survey and Classification," Frontiers in Big Data, volume 2, pages 49, January 2020. |
12. |
Yu-Chen Wu, Mi-Yen Yeh, and Tei-Wei Kuo, "Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation," 2019 IEEE International Conference on Big Data (Big Data 2019), August 2019. |
13. |
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh and Shou-De Lin, "Multi-relational Network Embeddings with Relational Proximity and Node Attributes," The Web Conference 2019 (WWW-2019), May 2019. |
14. |
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, and Shou-De Lin, "DeepRank: improving unsupervised node ranking via link discovery," Data Mining and Knowledge Discovery, volume 33, number 2, pages 474–498, March 2019. |
15. |
Chin-Chi Hsu, Mi-Yen Yeh, and Shou-De Lin, "A General Framework for Implicit and Explicit Social Recommendation," IEEE Transactions on Knowledge and Data Engineering, volume 30, number 12, pages 2228 - 2241, December 2018. |
16. |
Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Ming-Syan Chen, "Deep Censored Learning of the Winning Price in the Real Time Bidding," 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018), August 2018. |
17. |
Shan-Yun Teng, Lo-Pang-Yun Ting, Mi-Yen Yeh, and Kun-Ta Chuang, "Worship Prediction: Identify Followers in Celebrity-Dived Networks," World Wide Web, April 2018. |
18. |
Chien-Wei Chang, Mi-Yen Yeh, and Kun-Ta Chuang, "Node Reactivation Model to Intensify Influence on Network Targets," Knowledge and Information Systems, volume 54, number 3, pages 567–590, March 2018. |
19. |
Cheng-Te Li, Yu-Jen Lin, and Mi-Yen Yeh, "Forecasting Participants of Information Diffusion on Social Networks with Its Applications," Information Sciences, volume 422, pages 432-446, January 2018. |
20. |
Su-Chen Lin, Mi-Yen Yeh, and Ming-Syan Chen, "Non-overlapping Subsequence Matching of Stream Synopses," IEEE Transactions on Knowledge and Data Engineering, volume 30, number 1, pages 101-114, January 2018. |
21. |
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, and Shou-De Lin, "PRUNE: Preserving Proximity and Global Ranking for Node Embedding," The 31st Annual Conference on Neural Information Processing Systems (NIPS-2017), December 2017. |
22. |
Cheng-Chin Tu, Mi-Yen Yeh, and Tei-Wei Kuo, "A Fast Non-Volatile Memory aware Algorithm for Generating Random Scale-Free Networks," The 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), December 2017. |
23. |
Chun-Yen Kuo, Mi-Yen Yeh, and Jian Pei, "Principal Pattern Mining on Graphs," The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-2017), July 2017. |
24. |
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. |
25. |
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. |
26. |
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. |
27. |
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. |
28. |
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. |
29. |
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. |
30. |
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. |
31. |
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. |
32. |
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. |
33. |
Cheng-Te Li, Yu-Ren Lin, Rui Yan, 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. |
34. |
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. |
35. |
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. |
36. |
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. |
37. |
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. |
38. |
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. |
39. |
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. |
40. |
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. |
41. |
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. |
42. |
Huey-Ru Wu, Mi-Yen Yeh, and Ming-Syan Chen, "Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally," IEEE Transactions on Knowledge and Data Engineering, volume 25, number 11, pages 2615 - 2628, November 2013. |
43. |
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) |
44. |
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. |
45. |
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. |
46. |
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. |
47. |
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. |
48. |
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. |
49. |
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. |
50. |
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. |
51. |
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. |
52. |
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. |
53. |
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. |
54. |
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. |
55. |
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. |
56. |
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. |
57. |
Mi-Yen Yeh, Bi-Ru Dai, and Ming-Syan Chen, "Clustering over Multiple Evolving Streams by Events and Correlations," IEEE Transactions on Knowledge and Data Engineering, volume 19, number 10, pages 1349-1362, October 2007. |
58. |
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. |
59. |
Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, and Ming-Syan Chen, "Adaptive Clustering for Multiple Evolving Streams," IEEE Transactions on Knowledge and Data Engineering, volume 18, number 9, pages 1166-1180, January 2006. |
60. |
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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