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Chin-Chia Michael Yeh
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2020 – today
- 2024
- [j14]Archit Rathore
, Sunipa Dev
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14(1): 3:1-3:34 (2024) - [j13]Yiran Li
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. IEEE Trans. Vis. Comput. Graph. 30(6): 2875-2887 (2024) - [c60]Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CIKM 2024: 3719-3723 - [c59]Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary:
Revealing the Power of Masked Autoencoders in Traffic Forecasting. CIKM 2024: 4071-4075 - [c58]Chin-Chia Michael Yeh
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 2024: 3919-3930 - [c57]Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang:
PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. PacificVis 2024: 319-324 - [c56]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. SDM 2024: 37-45 - [c55]Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis:
Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. SDM 2024: 797-805 - [c54]Huiyuan Chen
Masked Graph Transformer for Large-Scale Recommendation. SIGIR 2024: 2502-2506 - [i42]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 abs/2401.02987 (2024) - [i41]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 abs/2401.09489 (2024) - [i40]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 Series Forecasting. CoRR abs/2402.10487 (2024) - [i39]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. CoRR abs/2405.04028 (2024) - [i38]Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CoRR abs/2408.07869 (2024) - [i37]Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang:
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. CoRR abs/2409.04649 (2024) - [i36]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, Eamonn J. Keogh:
Matrix Profile for Anomaly Detection on Multidimensional Time Series. CoRR abs/2409.09298 (2024) - 2023
- [j12]Yiran Li, Junpeng Wang
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. 29(6): 2888-2900 (2023) - [j11]Junpeng Wang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29(9): 3809-3825 (2023) - [c53]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. IEEE Big Data 2023: 443-452 - [c52]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. IEEE Big Data 2023: 1242-1247 - [c51]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. IEEE Big Data 2023: 1908-1911 - [c50]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. IEEE Big Data 2023: 1994-1997 - [c49]Yujie Fan
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM 2023: 504-513 - [c48]Dongyu Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM 2023: 3247-3256 - [c47]Chin-Chia Michael Yeh
Toward a Foundation Model for Time Series Data. CIKM 2023: 4400-4404 - [c46]Chin-Chia Michael Yeh
An Efficient Content-based Time Series Retrieval System. CIKM 2023: 4909-4915 - [c45]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 - [c44]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. ICMLA 2023: 9-16 - [c43]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: 2068-2076 - [c42]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: 217-221 - [c41]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: 210-225 - [c40]Huiyuan Chen
Adversarial Collaborative Filtering for Free. RecSys 2023: 245-255 - [c39]Huiyuan Chen
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys 2023: 757-762 - [c38]Vivian Lai
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys 2023: 791-797 - [c37]Huiyuan Chen
Sharpness-Aware Graph Collaborative Filtering. SIGIR 2023: 2369-2373 - [i35]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 abs/2303.13731 (2023) - [i34]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 abs/2306.01913 (2023) - [i33]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. CoRR abs/2307.08910 (2023) - [i32]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 abs/2308.01329 (2023) - [i31]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 abs/2308.10347 (2023) - [i30]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. CoRR abs/2308.13541 (2023) - [i29]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 abs/2309.01032 (2023) - [i28]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 abs/2309.15169 (2023) - [i27]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 abs/2310.03916 (2023) - [i26]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 abs/2310.03919 (2023) - [i25]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 abs/2310.03925 (2023) - [i24]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 abs/2310.13818 (2023) - [i23]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 abs/2311.01016 (2023) - [i22]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 abs/2311.02560 (2023) - [i21]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 abs/2311.02561 (2023) - [i20]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 abs/2311.02563 (2023) - [i19]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 abs/2311.03393 (2023) - 2022
- [j10]Junpeng Wang
Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 28(12): 4141-4155 (2022) - [c36]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: 200-214 - [c35]Jiarui Sun
Dynamic Graph Node Classification via Time Augmentation. IEEE Big Data 2022: 800-805 - [c34]Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain
Learning from Disagreement for Event Detection. IEEE Big Data 2022: 2411-2418 - [c33]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: 40-47 - [c32]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 - [c31]Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang:
PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. ICSE 2022: 1669-1680 - [c30]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: 4391-4401 - [c29]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: 92-101 - [c28]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: 257-267 - [c27]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: 181-189 - [c26]Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW 2022: 1955-1964 - [i18]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 abs/2201.07849 (2022) - [i17]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 abs/2208.05648 (2022) - [i16]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 abs/2212.02468 (2022) - [i15]Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang:
Dynamic Graph Node Classification via Time Augmentation. CoRR abs/2212.03449 (2022) - [i14]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 abs/2212.04120 (2022) - [i13]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 abs/2212.04540 (2022) - [i12]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 abs/2212.06146 (2022) - 2021
- [c25]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: 4331-4340 - [c24]Yuwei Wang, Yan Zheng, Yanqing Peng
Constrained Non-Affine Alignment of Embeddings. ICDM 2021: 1403-1408 - [c23]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: 330-335 - [c22]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: 19-36 - [c21]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: 614-623 - [i11]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 abs/2104.02797 (2021) - [i10]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 abs/2109.10020 (2021) - [i9]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 abs/2112.12965 (2021) - 2020
- [j9]Yan Zhu
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): 949-979 (2020) - [c20]Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. IEEE BigData 2020: 1736-1744 - [c19]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: 1846-1849 - [c18]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) 2020: 605-612 - [c17]Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang:
Multi-future Merchant Transaction Prediction. ECML/PKDD (5) 2020: 273-289 - [i8]Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang:
Multi-future Merchant Transaction Prediction. CoRR abs/2007.05303 (2020) - [i7]Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang:
Multi-stream RNN for Merchant Transaction Prediction. CoRR abs/2008.01670 (2020) - [i6]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. CoRR abs/2009.10989 (2020) - [i5]Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. CoRR abs/2011.02602 (2020)
2010 – 2019
- 2019
- [j8]Shaghayegh Gharghabi
Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(1): 96-130 (2019) - [j7]Shaghayegh Gharghabi
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(6): 1981-1982 (2019) - [j6]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): 1293-1305 (2019) - [j5]Diego Furtado Silva
Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. 21(1): 29-38 (2019) - [c16]Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD 2019: 2604-2612 - 2018
- [b1]Chin-Chia Michael Yeh:
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. University of California, Riverside, USA, 2018 - [j4]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): 83-123 (2018) - [j3]Yan Zhu
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): 203-236 (2018) - [c15]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: 837-846 - [c14]Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification to Improve Poultry Welfare. ICMLA 2018: 635-642 - [i4]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 abs/1810.07758 (2018) - [i3]Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh:
Representation Learning by Reconstructing Neighborhoods. CoRR abs/1811.01557 (2018) - [i2]Chin-Chia Michael Yeh:
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. CoRR abs/1811.03064 (2018) - [i1]Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification to Improve Poultry Welfare. CoRR abs/1811.03149 (2018) - 2017
- [j2]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): 1802-1812 (2017) - [c13]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: 117-126 - [c12]Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh:
Matrix Profile VI: Meaningful Multidimensional Motif Discovery. ICDM 2017: 565-574 - 2016
- [c11]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: 579-588 - [c10]Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. ICDM 2016: 739-748 - [c9]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: 1317-1322 - [c8]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: 23-29 - 2014
- [j1]Li Su
A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Trans. Multim. 16(5): 1188-1200 (2014) - [c7]Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
Improving music auto-tagging by intra-song instance bagging. ICASSP 2014: 2139-2143 - [c6]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: 5207-5211 - [c5]Chin-Chia Michael Yeh, Ping-Keng Jao, Yi-Hsuan Yang:
AWtoolbox: Characterizing Audio Information Using Audio Words. ACM Multimedia 2014: 809-812 - 2013
- [c4]Chin-Chia Michael Yeh, Yi-Hsuan Yang:
Towards a more efficient sparse coding based audio-word feature extraction system. APSIPA 2013: 1-7 - [c3]Chin-Chia Michael Yeh, Li Su
Dual-layer bag-of-frames model for music genre classification. ICASSP 2013: 246-250 - 2012
- [c2]Chin-Chia Michael Yeh, Yi-Hsuan Yang:
Supervised dictionary learning for music genre classification. ICMR 2012: 55 - [c1]Jen-Yu Liu, Chin-Chia Michael Yeh, Yi-Hsuan Yang, Yuan-Ching Teng:
Bilingual analysis of song lyrics and audio words. ACM Multimedia 2012: 829-832
Coauthor Index
[j14] [j13] [c60] [c58] [c57] [c56] [i42] [i41] [i40] [i38] [i37] [i36] [j12] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c37] [i35] [i34] [i33] [i32] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j10] [c36] [c34] [c33] [c32] [c30] [c27] [i18] [i17] [i16] [i12] [c25] [c23] [i11] [i10] [i9] [c20] [i7] [i5]
[j13] [c60] [c58] [c57] [c56] [i42] [i41] [i40] [i38] [i37] [i36] [j12] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [i35] [i34] [i32] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j10] [c36] [c34] [c33] [c32] [c30] [i18] [i17] [i16] [i12] [c25] [c22] [i10] [c20] [c17] [i8] [i7] [i5]
[j14] [j13] [c60] [c59] [c58] [c57] [c56] [c55] [i42] [i41] [i40] [i38] [i37] [i36] [j12] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [i35] [i34] [i32] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j10] [c36] [c35] [c34] [c33] [c32] [c30] [c27] [i18] [i17] [i16] [i15] [i12] [c25] [c24] [c23] [c22] [i11] [i10] [i9] [c20] [c18] [c17] [i8] [i7] [i6] [i5]
[j14] [j13] [c60] [c58] [c57] [c56] [c54] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [j12] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [i35] [i34] [i33] [i32] [i30] [i29] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c36] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [i18] [i17] [i16] [i14] [i13] [i12] [c25] [c24] [c23] [i11] [i10] [i9] [c20] [c18] [i6] [i5]
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