Liang Wang

Orcid: 0009-0008-3881-1833

Affiliations:
  • Visa Research, Palo Alto, CA, USA (since 2018)
  • Texas A&M University, Department of Computer Science, Center for Fuzzy Logic, Robotics, and Intelligent Systems, College Station, TX, USA


According to our database1, Liang Wang authored at least 46 papers between 1994 and 2024.

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Bibliography

2024
Random Projection Layers for Multidimensional Time Series Forecasting.
CoRR, 2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.
CoRR, 2024

2023
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.
IEEE Trans. Vis. Comput. Graph., June, 2023

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.
IEEE Trans. Vis. Comput. Graph., 2023

Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.
Inf. Vis., 2023

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.
CoRR, 2023

Multitask Learning for Time Series Data with 2D Convolution.
CoRR, 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.
CoRR, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.
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.
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward a Foundation Model for Time Series Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.
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

Sketching Multidimensional Time Series for Fast Discord Mining.
Proceedings of the IEEE International Conference on Big Data, 2023

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

Time Series Synthesis Using the Matrix Profile for Anonymization.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Visual Analytics for RNN-Based Deep Reinforcement Learning.
IEEE Trans. Vis. Comput. Graph., 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

Normalization of Language Embeddings for Cross-Lingual Alignment.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Learning from Disagreement for Event Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
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.
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.
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.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
Multi-stream RNN for Merchant Transaction Prediction.
CoRR, 2020

Multi-future Merchant Transaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Merchant Category Identification Using Credit Card Transactions.
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.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

1999
Simplifying fuzzy rule-based models using orthogonal transformation methods.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Constructing optimal fuzzy models using statistical information criteria.
J. Intell. Fuzzy Syst., 1999

Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter.
Fuzzy Sets Syst., 1999

1998
Improving the interpretability of TSK fuzzy models by combining global learning and local learning.
IEEE Trans. Fuzzy Syst., 1998

Application of statistical information criteria for optimal fuzzy model construction.
IEEE Trans. Fuzzy Syst., 1998

1997
Radial basis function networks, regression weights, and the expectation-maximization algorithm.
IEEE Trans. Syst. Man Cybern. Part A, 1997

1996
Complex systems modeling via fuzzy logic.
IEEE Trans. Syst. Man Cybern. Part B, 1996

Principal Components, B-splines, and fuzzy System Reduction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

A variable forgetting factor RLS algorithm with application to fuzzy time-varying systems identification.
Int. J. Syst. Sci., 1996

Sugeno model, fuzzy discretization, and the EM algorithm.
Fuzzy Sets Syst., 1996

Fuzzy models, modular networks, and hybrid learning.
Fuzzy Sets Syst., 1996

1995
Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques.
IEEE Trans. Fuzzy Syst., 1995

1994
Combining pattern recognition techniques with Akaike's information criteria for identifying ARMA models.
IEEE Trans. Signal Process., 1994


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