Chin-Chia Michael Yeh
Orcid: 0000-0002-9807-2963
According to our database1,
Chin-Chia Michael Yeh
authored at least 85 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Vis. Comput. Graph., June, 2024
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
ACM Trans. Interact. Intell. Syst., March, 2024
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Vis. Comput. Graph., June, 2023
IEEE Trans. Vis. Comput. Graph., 2023
Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
IEEE Trans. Vis. Comput. Graph., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022
2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.
CoRR, 2021
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
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., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
IEEE Trans. Multim., 2019
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 2019
Data Min. Knowl. Discov., 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile.
PhD thesis, 2018
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins.
Knowl. Inf. Syst., 2018
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.
Data Min. Knowl. Discov., 2018
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile.
CoRR, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Proc. VLDB Endow., 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2014
A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval.
IEEE Trans. Multim., 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Modified lasso screening for audio word-based music classification using large-scale dictionary.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
2012
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012
Proceedings of the International Conference on Multimedia Retrieval, 2012