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2020 – today
- 2024
[c31]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- [c30]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, Wei Zhang:
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 2024: 3919-3930 - [c29]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 - [c28]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 - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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
- [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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: 504-513 - [c22]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: 3247-3256 - [c21]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: 4400-4404 - [c20]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: 4909-4915 - [c19]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 - [c18]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 - [c17]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 - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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
- [c16]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 - [c15]Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. IEEE Big Data 2022: 2411-2418 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [i13]Zhongfang Zhuang:
Deep Learning on Attributed Sequences. CoRR abs/2201.09199 (2022) - [i12]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui:
One-Shot Learning on Attributed Sequences. CoRR abs/2201.09202 (2022) - [i11]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) - [i10]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) - [i9]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
- [c10]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 - [c9]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: 1403-1408 - [i8]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) - [i7]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
- [c8]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. IEEE BigData 2020: 1449-1454 - [c7]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 - [c6]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 - [c5]Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang:
Multi-future Merchant Transaction Prediction. ECML/PKDD (5) 2020: 273-289 - [i6]Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang:
Multi-future Merchant Transaction Prediction. CoRR abs/2007.05303 (2020) - [i5]Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang:
Multi-stream RNN for Merchant Transaction Prediction. CoRR abs/2008.01670 (2020) - [i4]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) - [i3]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) - [i2]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. CoRR abs/2011.04062 (2020)
2010 – 2019
- 2019
- [c4]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. IEEE BigData 2019: 1723-1728 - [c3]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner:
AMAS: Attention Model for Attributed Sequence Classification. SDM 2019: 109-117 - [i1]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. CoRR abs/1911.00949 (2019) - 2018
- [c2]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui:
One-Shot Learning on Attributed Sequences. IEEE BigData 2018: 921-930 - 2016
- [c1]Zhongfang Zhuang, Chuan Lei, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
PRO: Preference-Aware Recurring Query Optimization. CIKM 2016: 2191-2196 - 2015
- [j2]Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
Shared Execution of Recurring Workloads in MapReduce. Proc. VLDB Endow. 8(7): 714-725 (2015) - 2014
- [j1]Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
Redoop Infrastructure for Recurring Big Data Queries. Proc. VLDB Endow. 7(13): 1589-1592 (2014)
Coauthor Index
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