Zeyi Wen

According to our database, Zeyi Wen authored at least 52 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks.

Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian

IEEE Trans. Parallel Distributed Syst., August, 2024

Parallel and Distributed Bayesian Network Structure Learning.

Jian Yang, Jiantong Jiang, Zeyi Wen, Ajmal Mian

IEEE Trans. Parallel Distributed Syst., April, 2024

Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference.

Jiantong Jiang, Zeyi Wen, Peiyu Yang, Atif Bin Mansoor, Ajmal Mian

CoRR, 2024

Fast Inference for Probabilistic Graphical Models.

Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Enhancing the Performance of Bandit-based Hyperparameter Optimization.

Yile Chen, Zeyi Wen, Jian Chen, Jin Huang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis.

Hanfeng Liu, Minping Chen, Zhenya Zheng, Zeyi Wen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Efficient Hyperparameter Optimization with Adaptive Fidelity Identification.

Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He

IEEE Trans. Knowl. Data Eng., April, 2023

Efficient Decomposition Selection for Multi-class Classification.

Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen

IEEE Trans. Knowl. Data Eng., April, 2023

Interpretable Traffic Event Analysis with Bayesian Networks.

Tong Yuan, Jian Yang, Zeyi Wen

CoRR, 2023

Fast Parallel Exact Inference on Bayesian Networks.

Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Re-calibrating Feature Attributions for Model Interpretation.

Peiyu Yang, Naveed Akhtar, Zeyi Wen, Mubarak Shah, Ajmal Saeed Mian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs.

Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He

Proceedings of the IEEE International Conference on Data Mining, 2023

A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract).

Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Local Path Integration for Attribution.

Peiyu Yang, Naveed Akhtar, Zeyi Wen, Ajmal Mian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Parallel and Distributed Structured SVM Training.

Jiantong Jiang, Zeyi Wen, Ze-ke Wang, Bingsheng He, Jian Chen

IEEE Trans. Parallel Distributed Syst., 2022

A High-Performance Index for Real-Time Matrix Retrieval.

Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia

IEEE Trans. Knowl. Data Eng., 2022

Fast Parallel Exact Inference on Bayesian Networks: Poster.

Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian

CoRR, 2022

Fast Parallel Bayesian Network Structure Learning.

Jiantong Jiang, Zeyi Wen, Ajmal Mian

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Multi-Grained Interpre table Network for Image Recognition.

Peiyu Yang, Zeyi Wen, Ajmal Mian

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient Second-Order Optimization for Neural Networks with Kernel Machines.

Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Enhancing SVMs with Problem Context Aware Pipeline.

Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen

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.

Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

FastPSO: Towards Efficient Swarm Intelligence Algorithm on GPUs.

Hanfeng Liu, Zeyi Wen, Wei Cai

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.

Qinbin Li, Zeyi Wen, Bingsheng He

IEEE Trans. Neural Networks Learn. Syst., 2020

ThunderGBM: Fast GBDTs and Random Forests on GPUs.

Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen

J. Mach. Learn. Res., 2020

Entity Extraction with Knowledge from Web Scale Corpora.

Zeyi Wen, Zeyu Huang, Rui Zhang

Proceedings of the Databases Theory and Applications, 2020

Privacy-Preserving Gradient Boosting Decision Trees.

Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Practical Federated Gradient Boosting Decision Trees.

Qinbin Li, Zeyi Wen, Bingsheng He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training.

Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li

IEEE Trans. Parallel Distributed Syst., 2019

Efficient Multi-Class Probabilistic SVMs on GPUs.

Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen

IEEE Trans. Knowl. Data Eng., 2019

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

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He

CoRR, 2019

Aucher: Multi-modal Queries on Live Audio Streams in Real-Time.

Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance.

Zeyi Wen, Dong Deng, Rui Zhang, Ramamohanarao Kotagiri

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Scalable and fast SVM regression using modern hardware.

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang

World Wide Web, 2018

ThunderSVM: A Fast SVM Library on GPUs and CPUs.

Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen

J. Mach. Learn. Res., 2018

Efficient Gradient Boosted Decision Tree Training on GPUs.

Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi

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.

Zeyi Wen, Xingyang Liu, Hongjian Cao, Bingsheng He

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Efficient Support Vector Machine Training Algorithm on GPUs.

Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Selecting Proper Multi-Class SVM Training Methods.

Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang

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.

Zeyi Wen, Dong Deng, Rui Zhang, Kotagiri Ramamohanarao

CoRR, 2017

Improving Efficiency of SVM <i>k</i>-Fold Cross-Validation by Alpha Seeding.

Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

CoRR, 2016

2015

Highly scalable and effective algorithms for training support vector machines.

Zeyi Wen

PhD thesis, 2015

Indexable online time series segmentation with error bound guarantee.

Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen, Dan Wu

World Wide Web, 2015

Analysis and evaluation of the top-k most influential location selection query.

Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang

Knowl. Inf. Syst., 2015

The safest path via safe zones.

Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Zeyi Wen

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs.

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry L. Taylor

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Enabling Precision/Recall Preferences for Semi-supervised SVM Training.

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Subgraph Matching Using GPUs.

Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi

Proceedings of the Databases Theory and Applications, 2014

2012

A Branch and Bound Method for Min-dist Location Selection Queries.

Jianzhong Qi, Zhenghua Xu, Yuan Xue, Zeyi Wen

Proceedings of the Twenty-Third Australasian Database Conference, 2012

2011

Top-k most influential locations selection.

Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011