Liang Wang
Orcid: 0009-0008-3881-1833Affiliations:
- 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 52 papers
between 1994 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on usa.visa.com
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Bibliography
2024
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.
CoRR, 2024
CoRR, 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 IEEE International Conference on Data Mining, 2024
Proceedings of the IEEE International Conference on Knowledge Graph, 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
Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.
Inf. Vis., 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 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
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 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 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
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021
2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the 6th International Conference on Systems and Informatics, 2019
1999
IEEE Trans. Syst. Man Cybern. Part B, 1999
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
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
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