Liang Wang

IEEE Trans. Vis. Comput. Graph., June, 2024

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Matrix Profile XXXI: Motif Discovery Made Faster.

[BibT_eX]

[DOI]

Maryam Shahcheraghi

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.

[BibT_eX]

[DOI]

Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., June, 2023

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.

[BibT_eX]

[DOI]

Shubham Jain

IEEE Trans. Vis. Comput. Graph., 2023

Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.

[BibT_eX]

[DOI]

Inf. Vis., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Yujie Fan

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

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Multitask Learning for Time Series Data with 2D Convolution.

[BibT_eX]

[DOI]

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

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.

[BibT_eX]

[DOI]

Jack Shunn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

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

Toward a Foundation Model for Time Series Data.

[BibT_eX]

[DOI]

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

An Efficient Content-based Time Series Retrieval System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yujie Fan

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

Sketching Multidimensional Time Series for Fast Discord Mining.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Visual Analytics for RNN-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Hao Yang

IEEE Trans. Vis. Comput. Graph., 2022

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

[BibT_eX]

[DOI]

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

Normalization of Language Embeddings for Cross-Lingual Alignment.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Learning from Disagreement for Event Detection.

[BibT_eX]

[DOI]

Javid Ebrahimi

Proceedings of the IEEE International Conference on Big Data, 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.

[BibT_eX]

[DOI]

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

2021

Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data.

[BibT_eX]

[DOI]

Jingzhu He

Yanhong Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

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

[BibT_eX]

[DOI]

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

Investigating the Evolution of Tree Boosting Models with Visual Analytics.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

Multi-stream RNN for Merchant Transaction Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-future Merchant Transaction Prediction.

[BibT_eX]

[DOI]

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

Merchant Category Identification Using Credit Card Transactions.

[BibT_eX]

[DOI]

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

2019

Invulnerability Analysis of Power Distribution Network Based on Topology Structure.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Systems and Informatics, 2019

1999

Simplifying fuzzy rule-based models using orthogonal transformation methods.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1999

Constructing optimal fuzzy models using statistical information criteria.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 1999

Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1999

1998

Improving the interpretability of TSK fuzzy models by combining global learning and local learning.

[BibT_eX]

[DOI]

Wayne Gillespie

IEEE Trans. Fuzzy Syst., 1998

Application of statistical information criteria for optimal fuzzy model construction.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1998

1997

Radial basis function networks, regression weights, and the expectation-maximization algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 1997

1996

Complex systems modeling via fuzzy logic.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1996

Principal Components, B-splines, and fuzzy System Reduction.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

A variable forgetting factor RLS algorithm with application to fuzzy time-varying systems identification.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 1996

Sugeno model, fuzzy discretization, and the EM algorithm.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1996

Fuzzy models, modular networks, and hybrid learning.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1996

1995

Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1995

1994

Combining pattern recognition techniques with Akaike's information criteria for identifying ARMA models.

[BibT_eX]

[DOI]