Chin-Chia Michael Yeh

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 94

Top Venues

University of California, Riverside, USA (PHD)

Education History

University of California, Riverside, USA

PHD

Publications

Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
Random Projection Layers for Multidimensional Time Sires Forecasting. CoRR (2024)
Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR (2024)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. CoRR (2024)
Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR (2023)
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR (2023)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. CoRR (2023)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. CoRR (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. BigData (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR (2023)
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Toward a Foundation Model for Time Series Data. CIKM (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. BigData (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM (2023)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. BigData (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. SIGIR (2023)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys (2023)
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Toward a Foundation Model for Time Series Data. CoRR (2023)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR (2023)
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI (2023)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. RecSys (2023)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM (2023)
Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR (2023)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR (2023)
Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. CoRR (2023)
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29 (9) (2023)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. BigData (2023)
Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary
Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting. CoRR (2023)
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CIKM (2023)
Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR (2023)
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR (2023)
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Denoising Self-Attentive Sequential Recommendation. RecSys (2022)
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Denoising Self-attentive Sequential Recommendation. CoRR (2022)
Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR (2022)
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR (2022)
Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang
Dynamic Graph Node Classification via Time Augmentation. Big Data (2022)
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. CoRR (2022)
Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang
Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang
Dynamic Graph Node Classification via Time Augmentation. CoRR (2022)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR (2022)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD (2022)
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. CoRR (2022)
Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang
Learning from Disagreement for Event Detection. Big Data (2022)
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. ICKG (2022)
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys (2022)
Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang
PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. ICSE (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA (2022)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM (2022)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CoRR (2021)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR (2021)
Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR (2021)
Jingzhu He, Chin-Chia Michael Yeh, Yanhong Wu, Liang Wang, Wei Zhang
Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data. ECML/PKDD (4) (2021)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) (2021)
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
Constrained Non-Affine Alignment of Embeddings. ICDM (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CIKM (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
Merchant Category Identification Using Credit Card Transactions. IEEE BigData (2020)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
Multi-future Merchant Transaction Prediction. ECML/PKDD (5) (2020)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
Multi-future Merchant Transaction Prediction. CoRR (2020)
Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh
Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. ICDE (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. CoRR (2020)
Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang
Multi-stream RNN for Merchant Transaction Prediction. CoRR (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) (2020)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
Merchant Category Identification Using Credit Card Transactions. CoRR (2020)
Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. 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 Min. Knowl. Discov. 34 (4) (2020)
Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
The UCR time series archive. IEEE CAA J. Autom. Sinica 6 (6) (2019)
Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD (2019)
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33 (6) (2019)
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33 (1) (2019)
Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. 21 (1) (2019)
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowl. Inf. Syst. 54 (1) (2018)
Chin-Chia Michael Yeh
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. CoRR (2018)
Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh
Time Series Classification to Improve Poultry Welfare. CoRR (2018)
Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. ICDM (2018)
Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
The UCR Time Series Archive. CoRR (2018)
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32 (1) (2018)
Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh
Representation Learning by Reconstructing Neighborhoods. CoRR (2018)
Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh
Time Series Classification to Improve Poultry Welfare. ICMLA (2018)
Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh
Matrix Profile VI: Meaningful Multidimensional Motif Discovery. ICDM (2017)
Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. ICDM (2017)
Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh
Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes. Proc. VLDB Endow. 10 (12) (2017)
Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
SiMPle: Assessing Music Similarity Using Subsequences Joins. ISMIR (2016)
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. ICDM (2016)
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM (2016)
Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. ICDM (2016)
Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
Improving music auto-tagging by intra-song instance bagging. ICASSP (2014)
Li Su, Chin-Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, Yi-Hsuan Yang
A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Trans. Multim. 16 (5) (2014)
Chin-Chia Michael Yeh, Ping-Keng Jao, Yi-Hsuan Yang
AWtoolbox: Characterizing Audio Information Using Audio Words. ACM Multimedia (2014)
Ping-Keng Jao, Chin-Chia Michael Yeh, Yi-Hsuan Yang
Modified lasso screening for audio word-based music classification using large-scale dictionary. ICASSP (2014)
Chin-Chia Michael Yeh, Yi-Hsuan Yang
Towards a more efficient sparse coding based audio-word feature extraction system. APSIPA (2013)
Chin-Chia Michael Yeh, Li Su, Yi-Hsuan Yang
Dual-layer bag-of-frames model for music genre classification. ICASSP (2013)

Chin-Chia Michael Yeh.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chin-Chia Michael Yeh