Zhongfang Zhuang

According to our database, Zhongfang Zhuang authored at least 36 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Random Projection Layers for Multidimensional Time Series Forecasting.

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

CoRR, 2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.

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

CoRR, 2024

2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

CoRR, 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.

Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang

CoRR, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.

Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.

Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward a Foundation Model for Time Series Data.

Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sketching Multidimensional Time Series for Fast Discord Mining.

Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Ego-Network Transformer for Subsequence Classification in Time Series 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

Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Deep Learning on Attributed Sequences.

Zhongfang Zhuang

CoRR, 2022

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.

Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.

Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis.

Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.

Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Learning from Disagreement for Event Detection.

Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.

Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Constrained Non-Affine Alignment of Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Proceedings of the IEEE International Conference on Data Mining, 2021

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multi-stream RNN for Merchant Transaction Prediction.

Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei Zhang, Junpeng Wang

CoRR, 2020

Multi-future Merchant Transaction Prediction.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang, Liang Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Towards a Flexible Embedding Learning Framework.

Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

MLAS: Metric Learning on Attributed Sequences.

Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Merchant Category Identification Using Credit Card Transactions.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

AMAS: Attention Model for Attributed Sequence Classification.

Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Attributed Sequence Embedding.

Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

One-Shot Learning on Attributed Sequences.

Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

PRO: Preference-Aware Recurring Query Optimization.

Zhongfang Zhuang, Chuan Lei, Elke A. Rundensteiner, Mohamed Y. Eltabakh

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Shared Execution of Recurring Workloads in MapReduce.

Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh

Proc. VLDB Endow., 2015

2014

Redoop Infrastructure for Recurring Big Data Queries.

Chuan Lei, Zhongfang Zhuang, Elke A. Rundensteiner, Mohamed Y. Eltabakh

Proc. VLDB Endow., 2014