Zeyi Wen

Orcid: 0000-0003-3370-6053

According to our database1, Zeyi Wen authored at least 46 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Parallel and Distributed Bayesian Network Structure Learning.
IEEE Trans. Parallel Distributed Syst., April, 2024

2023
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.
IEEE Trans. Knowl. Data Eng., April, 2023

Efficient Decomposition Selection for Multi-class Classification.
IEEE Trans. Knowl. Data Eng., April, 2023

Interpretable Traffic Event Analysis with Bayesian Networks.
CoRR, 2023

Fast Parallel Exact Inference on Bayesian Networks.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Re-calibrating Feature Attributions for Model Interpretation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs.
Proceedings of the IEEE International Conference on Data Mining, 2023

A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Local Path Integration for Attribution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Parallel and Distributed Structured SVM Training.
IEEE Trans. Parallel Distributed Syst., 2022

A High-Performance Index for Real-Time Matrix Retrieval.
IEEE Trans. Knowl. Data Eng., 2022

Fast Parallel Exact Inference on Bayesian Networks: Poster.
CoRR, 2022

Fast Parallel Bayesian Network Structure Learning.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Multi-Grained Interpre table Network for Image Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient Second-Order Optimization for Neural Networks with Kernel Machines.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Enhancing SVMs with Problem Context Aware Pipeline.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Challenges and Opportunities of Building Fast GBDT Systems.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

FastPSO: Towards Efficient Swarm Intelligence Algorithm on GPUs.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020
Adaptive Kernel Value Caching for SVM Training.
IEEE Trans. Neural Networks Learn. Syst., 2020

ThunderGBM: Fast GBDTs and Random Forests on GPUs.
J. Mach. Learn. Res., 2020

Entity Extraction with Knowledge from Web Scale Corpora.
Proceedings of the Databases Theory and Applications, 2020

Privacy-Preserving Gradient Boosting Decision Trees.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Practical Federated Gradient Boosting Decision Trees.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training.
IEEE Trans. Parallel Distributed Syst., 2019

Efficient Multi-Class Probabilistic SVMs on GPUs.
IEEE Trans. Knowl. Data Eng., 2019

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.
CoRR, 2019

Aucher: Multi-modal Queries on Live Audio Streams in Real-Time.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Scalable and fast SVM regression using modern hardware.
World Wide Web, 2018

ThunderSVM: A Fast SVM Library on GPUs and CPUs.
J. Mach. Learn. Res., 2018

Efficient Gradient Boosted Decision Tree Training on GPUs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Efficient Support Vector Machine Training Algorithm on GPUs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Selecting Proper Multi-Class SVM Training Methods.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity.
CoRR, 2017

Improving Efficiency of SVM <i>k</i>-Fold Cross-Validation by Alpha Seeding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding.
CoRR, 2016

2015
Highly scalable and effective algorithms for training support vector machines.
PhD thesis, 2015

Indexable online time series segmentation with error bound guarantee.
World Wide Web, 2015

Analysis and evaluation of the top-k most influential location selection query.
Knowl. Inf. Syst., 2015

The safest path via safe zones.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Enabling Precision/Recall Preferences for Semi-supervised SVM Training.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Subgraph Matching Using GPUs.
Proceedings of the Databases Theory and Applications, 2014

2012
A Branch and Bound Method for Min-dist Location Selection Queries.
Proceedings of the Twenty-Third Australasian Database Conference, 2012

2011
Top-k most influential locations selection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


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