Yan Zheng
Orcid: 0000-0003-4422-9889Affiliations:
- Visa Research, Palo Alto, CA, USA
- University of Utah, School of Computing, Salt Lake City, UT, USA (PhD 2017)
According to our database1,
Yan Zheng
authored at least 54 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on linkedin.com
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on cs.utah.edu
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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
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
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
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 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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
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 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
IEEE Trans. Big Data, 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
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
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
2018
Fully convolutional structured LSTM networks for joint 4D medical image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Algorithms and Coresets for Large-Scale Kernel Smoothing.
PhD thesis, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 31st International Symposium on Computational Geometry, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013