Chin-Chia Michael Yeh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
17
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Feedback to Reasoning: LLM-Assisted Molecular Optimization with Domain Feedback and Historical Reasoning. | Wenhan Gao, Xiran Fan, Chin-Chia Michael Yeh, Jiarui Sun, Yuzhong Chen, Menghai Pan, Mahashweta Das, Yi Liu |
| 2026 | ACL | Demystify the Role of Memory in Machine Learning Engineering Agents. | Xinyu Zhao, Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Jiarui Sun, Yan Zheng, Mahashweta Das, Tianlong Chen |
| 2026 | KDD | TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. | 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 | ACL | MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. | 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 | EMNLP | Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings. | Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng |
| 2025 | PacificVis | Visual Attention Exploration in Vision-Based Mamba Models. | Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das |
| 2024 | CIKM | A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. | 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 | CIKM | Revealing the Power of Masked Autoencoders in Traffic Forecasting. | Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary |
| 2024 | ICDM | Matrix Profile for Anomaly Detection on Multidimensional Time Series. | 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 | KDD | RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. | 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 | PacificVis | PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. | Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang |
| 2024 | SIGIR | Masked Graph Transformer for Large-Scale Recommendation. | Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong |
| 2024 | SDM | 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 |
| 2024 | SDM | Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. | Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICMLA | 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 |
| 2023 | IJCAI | Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. | Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | PacificVis | EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. | Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang |
| 2023 | RecSys | Adversarial Collaborative Filtering for Free. | Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang |
| 2023 | RecSys | Hessian-aware Quantized Node Embeddings for Recommendation. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | RecSys | Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. | Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang |
| 2023 | SIGIR | Sharpness-Aware Graph Collaborative Filtering. | Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang |
| 2022 | AMTA | 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 |
| 2022 | ICLR | Normalization of Language Embeddings for Cross-Lingual Alignment. | Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips |
| 2022 | ICSE | PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. | Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang |
| 2022 | KDD | 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 |
| 2022 | RecSys | Denoising Self-Attentive Sequential Recommendation. | Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang |
| 2022 | RecSys | TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. | Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang |
| 2022 | WWW | Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. | Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2022 | SDM | 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 |
| 2021 | CIKM | 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 |
| 2021 | ICDM | 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 |
| 2021 | SIGIR | Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. | Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2020 | ICDE | Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. | Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh |
| 2020 | ICDM | Towards a Flexible Embedding Learning Framework. | Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang |
| 2019 | KDD | Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. | Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh |
| 2018 | ICDM | Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. | Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, Eamonn J. Keogh |
| 2018 | ICMLA | Time Series Classification to Improve Poultry Welfare. | Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh |
| 2017 | ICDM | Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. | Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh |
| 2017 | ICDM | Matrix Profile VI: Meaningful Multidimensional Motif Discovery. | Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh |
| 2016 | ICDM | Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. | Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh |
| 2016 | ICDM | Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. | Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh |
| 2016 | ICDM | Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. | Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh |
| 2014 | ICASSP | Modified lasso screening for audio word-based music classification using large-scale dictionary. | Ping-Keng Jao, Chin-Chia Michael Yeh, Yi-Hsuan Yang |
| 2014 | ICASSP | Improving music auto-tagging by intra-song instance bagging. | Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang, Hsin-Min Wang |
| 2013 | ICASSP | Dual-layer bag-of-frames model for music genre classification. | Chin-Chia Michael Yeh, Li Su, Yi-Hsuan Yang |