Michael Yeh's Homepage

Michael Chin-Chia Yeh

Welcome

I am currently a Research Scientist at Visa Research.

My research interest includes, but not limit to: time series analysis, data mining, machine learning, and information retrieval.

Links: Google Scholar, PhD Thesis, Matrix Profile, CV.
Email: myeh003 AT ucr DOT edu

Selected Publications

Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, and Wei Zhang, "RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024, Paper, Webpage.
Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, and Eamonn Keogh, "Matrix Profile for Anomaly Detection on Multidimensional Time Series," IEEE International Conference on Data Mining (ICDM), 2024, Paper, Webpage.
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, and Wei Zhang, "Toward a Foundation Model for Time Series Data," ACM International Conference on Information and Knowledge Management (CIKM), 2023, Paper, Webpage.
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Jeff M. Phillips, "An Efficient Content-based Time Series Retrieval System," ACM International Conference on Information and Knowledge Management (CIKM), 2023, Paper, Webpage.
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh, "Ego-Network Transformer for Subsequence Classification in Time Series Data," IEEE International Conference on Big Data, 2023, Paper, Webpage.
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh, "Time Series Synthesis Using the Matrix Profile for Anonymization," IEEE International Conference on Big Data, 2023, Paper, Webpage.
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, and Eamonn Keogh, "Sketching Multidimensional Time Series for Fast Discord Mining," IEEE International Conference on Big Data, 2023, Paper.
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, and Wei Zhang, "Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022, Paper, Webpage.
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, and Eamonn Keogh, "Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series," SIAM International Conference on Data Mining (SDM), 2022, Paper, Webpage.
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, and Eamonn Keogh, "Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series," IEEE International Conference on Knowledge Graph (ICKG), 2022, Paper.
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, and Wei Zhang, "Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks," ACM International Conference on Information and Knowledge Management (CIKM), 2021, Paper.
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, and Wei Zhang, "Merchant Category Identification Using Credit Card Transactions," IEEE International Conference on Big Data, 2020, Paper.
Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, and Liang Wang, "Multi-future Merchant Transaction Prediction," Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2020, Paper.
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, and Wei Zhang, "Towards a Flexible Embedding Learning Framework," IEEE International Conference on Data Mining Workshop on Multi-Source Data Mining (MSDM), 2020, Paper.
Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth Funning, Abdullah Mueen, and Eamonn Keogh, "The Swiss Army Knife of Time Series Data Mining: Ten Useful Things You Can Do with The Matrix Profile and Ten Lines of Code," Data Mining and Knowledge Discovery (DMKD), 2020, Paper.
Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, and Eamonn Keogh, "Online Amnestic DTW to allow Real-Time Golden Batch Monitoring," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019, Paper, Webpage.
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, and Eamonn Keogh, "Domain Agnostic Online Semantic Segmentation for Multi-dimensional Time Series," Data Mining and Knowledge Discovery (DMKD), 2019, Paper.
Chin-Chia Michael Yeh, "Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile," University of California, Riverside, 2018, Paper.
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego F. Silva, Abdullah Mueen, and Eamonn Keogh, "Time Series Joins, Motifs, Discords and Shapelets: a Unifying View that Exploits the Matrix Profile," Data Mining and Knowledge Discovery (DMKD), 2018, Paper, Webpage.
Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, and Eamonn Keogh, "Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds," IEEE International Conference on Data Mining (ICDM), 2018, Paper.
Yan Zhu, Zachary Zimmerman, Nader S. Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh, "Exploiting a Novel Algorithm and GPUs to Break the Ten Quadrillion Pairwise Comparisons Barrier for Time Series Motifs and Joins," Knowledge and Information Systems (KIS), 2018, Paper.
Chin-Chia Michael Yeh, Nickolas Kavantzas, and Eamonn Keogh, "Matrix Profile VI: Meaningful Multidimensional Motif Discovery," IEEE International Conference on Data Mining (ICDM), 2017, Paper, Webpage.
Chin-Chia Michael Yeh, Nickolas Kavantzas, and Eamonn Keogh, "Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes," Proceedings of the VLDB Endowment (VLDB), 2017, Paper, Webpage.
Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, and Eamonn Keogh, "Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels," IEEE International Conference on Data Mining (ICDM), 2017, Paper.
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego F. Silva, Abdullah Mueen, and Eamonn Keogh, "Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets," IEEE International Conference on Data Mining (ICDM), 2016, Paper, Webpage.
Chin-Chia Michael Yeh, Helga Van Herle, and Eamonn Keogh, "Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series," IEEE International Conference on Data Mining (ICDM), 2016, Paper, Webpage.
Yan Zhu, Zachary Zimmerman, Nader S. Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh, "Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins," IEEE International Conference on Data Mining (ICDM), 2016, Paper.
Diego F. Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn Keogh, "SiMPle: Assessing Music Similarity Using Subsequences Joins," International Society for Music Information Retrieval Conference (ISMIR), 2016, Paper.
Chin-Chia Michael Yeh, Ping-Keng Jao, and Yi-Hsuan Yang. The AWtoolbox for Characterizing Audio Information, Academia Sinica, Technical Report, 2015, Paper.
Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, and Hsin-Min Wang, "Improving Music Auto-tagging by Intra-song Instance Bagging," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, Paper.
Chin-Chia Michael Yeh, Ping-Keng Jao, and Yi-Hsuan Yang, "AWtoolbox: Characterizing Audio Information Using Audio Words," ACM International Conference Multimedia (MM), 2014, Paper.
Li Su, Chin-Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, and Yi-Hsuan Yang, "A Systematic Evaluation of the Bag-of-frames Representation for Music Information Retrieval," IEEE Transactions on Multimedia (TMM), 2014, Paper.
Chin-Chia Michael Yeh, Li Su, and Yi-Hsuan Yang, "Dual-layer Bag-of-frames Model for Music Genre Classification," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, Paper.
Chin-Chia Michael Yeh and Yi-Hsuan Yang, "Towards a More Efficient Sparse Coding Based Audio-word Feature Extraction System," Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2013, Paper.
Chin-Chia Michael Yeh and Yi-Hsuan Yang, "Supervised Dictionary Learning for Music Genre Classification," ACM International Conference on Multimedia Retrieval (ICMR), 2012, Paper.

Last Updated: August 17, 2024