Junpeng Wang
Orcid: 0000-0002-1130-9914Affiliations:
- Visa Research, USA
- University of California, Riverside, CA, USA
- Ohio State University, Columbus, OH, USA (PhD)
- Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (former)
According to our database1,
Junpeng Wang
authored at least 58 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on linkedin.com
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on usa.visa.com
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on orcid.org
On csauthors.net:
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
CoRR, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024
2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks.
ACM Trans. Interact. Intell. Syst., December, 2023
IEEE Trans. Vis. Comput. Graph., June, 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 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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
CoRR, 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
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
USEVis: Visual analytics of attention-based neural embedding in information retrieval.
Vis. Informatics, 2021
IEEE Trans. Vis. Comput. Graph., 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.
CoRR, 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
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
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks.
Vis. Informatics, 2020
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.
IEEE Trans. Vis. Comput. Graph., 2020
LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020
2019
IEEE Trans. Vis. Comput. Graph., 2019
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation.
IEEE Trans. Vis. Comput. Graph., 2019
IEEE Trans. Vis. Comput. Graph., 2019
Inf. Vis., 2019
2018
IEEE Trans. Vis. Comput. Graph., 2018
2017
Vis. Informatics, 2017
Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots.
IEEE Trans. Vis. Comput. Graph., 2017
2015
Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015
2014
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014