Zhongfang Zhuang

69 papers A* 6A 11B 7C 1Misc 1Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Compact Model for Large-Scale Time Series Forecasting. CoRR Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025	B	`conf`	EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data. IEEE Big Data Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025	J	`jnl`	NdLinear Is All You Need for Representation Learning. CoRR Alex Daniel Reneau, Jerry Yao-Chieh Hu, Zhongfang Zhuang, Ting-Chun Liu
2025	J	`jnl`	Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. CoRR Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025	J	`jnl`	TransactionGPT. CoRR Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2025	B	`conf`	UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting. IEEE Big Data Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2024	A	`conf`	A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CIKM 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
2024	J	`jnl`	A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CoRR 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
2024	A	`conf`	Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. SDM Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis
2024	J	`jnl`	Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR 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
2024	—	`conf`	Matrix Profile XXXI: Motif Discovery Made Faster. ICKG Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, Eamonn J. Keogh
2024	A*	`conf`	Matrix Profile for Anomaly Detection on Multidimensional Time Series. ICDM 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
2024	J	`jnl`	Matrix Profile for Anomaly Detection on Multidimensional Time Series. CoRR 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
2024	A	`conf`	PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. SDM Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024	J	`jnl`	PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. CoRR Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024	J	`jnl`	Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. CoRR 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
2024	A*	`conf`	RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 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
2024	J	`jnl`	Random Projection Layers for Multidimensional Time Series Forecasting. CoRR 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
2023	A	`conf`	An Efficient Content-based Time Series Retrieval System. CIKM 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
2023	J	`jnl`	An Efficient Content-based Time Series Retrieval System. CoRR 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
2023	B	`conf`	Ego-Network Transformer for Subsequence Classification in Time Series Data. IEEE Big Data 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
2023	J	`jnl`	Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR 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
2023	A	`conf`	FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
2023	J	`jnl`	FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
2023	A*	`conf`	Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2023	C	`conf`	Multitask Learning for Time Series Data with 2D Convolution. ICMLA Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	J	`jnl`	Multitask Learning for Time Series Data with 2D Convolution. CoRR Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	J	`jnl`	PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang
2023	B	`conf`	Sketching Multidimensional Time Series for Fast Discord Mining. IEEE Big Data Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023	J	`jnl`	Sketching Multidimensional Time Series for Fast Discord Mining. CoRR Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023	A	`conf`	Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
2023	—	`conf`	Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
2023	B	`conf`	Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. IEEE Big Data Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	J	`jnl`	Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	B	`conf`	Time Series Synthesis Using the Matrix Profile for Anonymization. IEEE Big Data Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023	J	`jnl`	Time Series Synthesis Using the Matrix Profile for Anonymization. CoRR Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023	A	`conf`	Toward a Foundation Model for Time Series Data. CIKM Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2023	J	`jnl`	Toward a Foundation Model for Time Series Data. CoRR Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022	J	`jnl`	Deep Learning on Attributed Sequences. CoRR Zhongfang Zhuang
2022	A*	`conf`	Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022	J	`jnl`	Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022	A	`conf`	Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
2022	B	`conf`	Learning from Disagreement for Event Detection. IEEE Big Data Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang
2022	—	`conf`	Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. ICKG Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022	J	`jnl`	Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. CoRR Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022	J	`jnl`	One-Shot Learning on Attributed Sequences. CoRR Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui
2022	A*	`conf`	PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. ICSE Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang
2022	Misc	`conf`	Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022	J	`jnl`	Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2021	A*	`conf`	Constrained Non-Affine Alignment of Embeddings. ICDM Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
2021	J	`jnl`	Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
2021	A	`conf`	Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CIKM Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
2021	J	`jnl`	Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CoRR Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
2020	—	`conf`	MLAS: Metric Learning on Attributed Sequences. IEEE BigData Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora
2020	J	`jnl`	MLAS: Metric Learning on Attributed Sequences. CoRR Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora
2020	—	`conf`	Merchant Category Identification Using Credit Card Transactions. IEEE BigData Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
2020	J	`jnl`	Merchant Category Identification Using Credit Card Transactions. CoRR Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
2020	—	`conf`	Multi-future Merchant Transaction Prediction. ECML/PKDD (5) Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
2020	J	`jnl`	Multi-future Merchant Transaction Prediction. CoRR Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang
2020	J	`jnl`	Multi-stream RNN for Merchant Transaction Prediction. CoRR Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang
2020	—	`conf`	Towards a Flexible Embedding Learning Framework. ICDM (Workshops) Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2020	J	`jnl`	Towards a Flexible Embedding Learning Framework. CoRR Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2019	A	`conf`	AMAS: Attention Model for Attributed Sequence Classification. SDM Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner
2019	—	`conf`	Attributed Sequence Embedding. IEEE BigData Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora
2019	J	`jnl`	Attributed Sequence Embedding. CoRR Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora
2018	—	`conf`	One-Shot Learning on Attributed Sequences. IEEE BigData Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui
2016	A	`conf`	PRO: Preference-Aware Recurring Query Optimization. CIKM Zhongfang Zhuang, Chuan Lei, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2015	J	`jnl`	Shared Execution of Recurring Workloads in MapReduce. Proc. VLDB Endow. Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2014	J	`jnl`	Redoop Infrastructure for Recurring Big Data Queries. Proc. VLDB Endow. Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh