Chin-Chia Michael Yeh

137 papers A* 22A 15B 13C 2Misc 4Journal 67Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings. CoRR Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2026	—	`conf`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. KDD (1) Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2026	J	`jnl`	Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment. CoRR Liang Wang, Junpeng Wang, Chin-Chia Michael Yeh, Yan Zheng, Jiarui Sun, Xiran Fan, Xin Dai, Yujie Fan, Yiwei Cai
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	B	`conf`	Empowering Time Series Forecasting with LLM-Agents. IEEE Big Data Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng
2025	J	`jnl`	Empowering Time Series Forecasting with LLM-Agents. CoRR Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng
2025	—	`conf`	Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings. EMNLP (Industry Track) Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2025	J	`jnl`	Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement. CoRR Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Mahashweta Das
2025	—	`conf`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. ACL (1) Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	J	`jnl`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. CoRR Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	J	`jnl`	TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. CoRR Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025	J	`jnl`	TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification. CoRR Chin-Chia Michael Yeh, Uday Singh Saini, Junpeng Wang, Xin Dai, Xiran Fan, Jiarui Sun, Yujie Fan, Yan Zheng
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
2025	B	`conf`	Visual Attention Exploration in Vision-Based Mamba Models. PacificVis Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das
2025	J	`jnl`	Visual Attention Exploration in Vision-Based Mamba Models. CoRR Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das
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	A*	`conf`	Masked Graph Transformer for Large-Scale Recommendation. SIGIR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024	J	`jnl`	Masked Graph Transformer for Large-Scale Recommendation. CoRR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
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	B	`conf`	PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. PacificVis Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, 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
2024	A	`conf`	Revealing the Power of Masked Autoencoders in Traffic Forecasting. CIKM Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary
2024	J	`jnl`	VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2024	J	`jnl`	Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. IEEE Trans. Vis. Comput. Graph. Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
2023	A	`conf`	Adversarial Collaborative Filtering for Free. RecSys Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023	J	`jnl`	Adversarial Collaborative Filtering for Free. CoRR Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
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	B	`conf`	EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
2023	J	`jnl`	EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
2023	A	`conf`	Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
2023	J	`jnl`	Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
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`	Hessian-aware Quantized Node Embeddings for Recommendation. RecSys Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	Hessian-aware Quantized Node Embeddings for Recommendation. CoRR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. CoRR Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
2023	J	`jnl`	How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
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	J	`jnl`	Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
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	A*	`conf`	Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting. CoRR Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary
2023	A*	`conf`	Sharpness-Aware Graph Collaborative Filtering. SIGIR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023	J	`jnl`	Sharpness-Aware Graph Collaborative Filtering. CoRR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
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
2023	J	`jnl`	Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. CoRR Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
2022	A	`conf`	Denoising Self-Attentive Sequential Recommendation. RecSys Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	J	`jnl`	Denoising Self-attentive Sequential Recommendation. CoRR Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	B	`conf`	Dynamic Graph Node Classification via Time Augmentation. IEEE Big Data Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang
2022	J	`jnl`	Dynamic Graph Node Classification via Time Augmentation. CoRR Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang
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	A*	`conf`	Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
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	J	`jnl`	Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. CoRR Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, 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	A*	`conf`	Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
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
2022	A	`conf`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	J	`jnl`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	J	`jnl`	Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang
2021	—	`conf`	An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
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	—	`conf`	Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data. ECML/PKDD (4) Jingzhu He, Chin-Chia Michael Yeh, Yanhong Wu, Liang Wang, Wei Zhang
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
2021	A*	`conf`	Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2021	J	`jnl`	VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2020	A*	`conf`	Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. ICDE Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh
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	J	`jnl`	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. 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
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	J	`jnl`	Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
2019	J	`jnl`	Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh
2019	J	`jnl`	Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans. Multim. Diego Furtado Silva, Chin-Chia Michael Yeh, Yan Zhu, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2019	A*	`conf`	Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh
2019	J	`jnl`	The UCR time series archive. IEEE CAA J. Autom. Sinica Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
2018	J	`jnl`	Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowl. Inf. Syst. Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh
2018	A*	`conf`	Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. ICDM Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh
2018	J	`jnl`	Representation Learning by Reconstructing Neighborhoods. CoRR Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh
2018	J	`jnl`	The UCR Time Series Archive. CoRR Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
2018	C	`conf`	Time Series Classification to Improve Poultry Welfare. ICMLA Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh
2018	J	`jnl`	Time Series Classification to Improve Poultry Welfare. CoRR Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh
2018	J	`jnl`	Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 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
2018	J	`jnl`	Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. CoRR Chin-Chia Michael Yeh
2018	—	`—`	Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. Chin-Chia Michael Yeh
2017	J	`jnl`	Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes. Proc. VLDB Endow. Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh
2017	A*	`conf`	Matrix Profile VI: Meaningful Multidimensional Motif Discovery. ICDM Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh
2017	A*	`conf`	Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. ICDM Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh
2016	A*	`conf`	Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
2016	A*	`conf`	Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. ICDM Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh
2016	A*	`conf`	Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. ICDM Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh
2016	—	`conf`	SiMPle: Assessing Music Similarity Using Subsequences Joins. ISMIR Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh
2014	J	`jnl`	A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Trans. Multim. Li Su, Chin-Chia Michael Yeh, Jen-Yu Liu, Ju-Chiang Wang, Yi-Hsuan Yang
2014	A*	`conf`	AWtoolbox: Characterizing Audio Information Using Audio Words. ACM Multimedia Chin-Chia Michael Yeh, Ping-Keng Jao, Yi-Hsuan Yang
2014	Misc	`conf`	Improving music auto-tagging by intra-song instance bagging. ICASSP Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang
2014	Misc	`conf`	Modified lasso screening for audio word-based music classification using large-scale dictionary. ICASSP Ping-Keng Jao, Chin-Chia Michael Yeh, Yi-Hsuan Yang
2013	Misc	`conf`	Dual-layer bag-of-frames model for music genre classification. ICASSP Chin-Chia Michael Yeh, Li Su, Yi-Hsuan Yang
2013	—	`conf`	Towards a more efficient sparse coding based audio-word feature extraction system. APSIPA Chin-Chia Michael Yeh, Yi-Hsuan Yang
2012	A*	`conf`	Bilingual analysis of song lyrics and audio words. ACM Multimedia Jen-Yu Liu, Chin-Chia Michael Yeh, Yi-Hsuan Yang, Yuan-Ching Teng
2012	B	`conf`	Supervised dictionary learning for music genre classification. ICMR Chin-Chia Michael Yeh, Yi-Hsuan Yang