Top-k most influential locations selection. - Jin Huang 003; Zeyi Wen; Jianzhong Qi 001; Rui Zhang 003; Jian Chen 011; Zhen He 002 (CIKM, 2011)

A Branch and Bound Method for Min-dist Location Selection Queries. - Jianzhong Qi 001; Zhenghua Xu; Yuan Xue; Zeyi Wen (ADC, 2012)

Efficient Subgraph Matching Using GPUs. - Xiaojie Lin; Rui Zhang 003; Zeyi Wen; Hongzhi Wang 001; Jianzhong Qi 001 (ADC, 2014)

Enabling Precision/Recall Preferences for Semi-supervised SVM Training. - Zeyi Wen; Rui Zhang 003; Kotagiri Ramamohanarao (CIKM, 2014)

MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs. - Zeyi Wen; Rui Zhang 003; Kotagiri Ramamohanarao; Jianzhong Qi 001; Kerry L. Taylor (ICDM, 2014)

The safest path via safe zones. - Saad Aljubayrin; Jianzhong Qi 001; Christian S. Jensen; Rui Zhang 003; Zhen He 002; Zeyi Wen (ICDE, 2015)

Analysis and evaluation of the top-k most influential location selection query. - Jian Chen 011; Jin Huang 003; Zeyi Wen; Zhen He 002; Kerry Taylor; Rui Zhang 003 (Knowl. Inf. Syst., 2015)

Indexable online time series segmentation with error bound guarantee. - Jianzhong Qi 001; Rui Zhang 003; Kotagiri Ramamohanarao; Hongzhi Wang 001; Zeyi Wen; Dan Wu (World Wide Web, 2015)

Highly scalable and effective algorithms for training support vector machines. - Zeyi Wen (2015)

Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. - Zeyi Wen; Bin Li 073; Rao Kotagiri; Jian Chen 011; Yawen Chen; Rui Zhang 003 (CoRR, 2016)

Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. - Zeyi Wen; Bin Li 073; Kotagiri Ramamohanarao; Jian Chen 011; Yawen Chen; Rui Zhang 003 (AAAI, 2017)

A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity. - Zeyi Wen; Dong Deng 001; Rui Zhang 003; Kotagiri Ramamohanarao (CoRR, 2017)

Selecting Proper Multi-Class SVM Training Methods. - Yawen Chen; Zeyi Wen; Jian Chen 011; Jin Huang 003 (AAAI, 2018)

Efficient Support Vector Machine Training Algorithm on GPUs. - Jiashuai Shi; Zeyi Wen; Bingsheng He; Jian Chen 011 (AAAI, 2018)

RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. - Zeyi Wen; Xingyang Liu; Hongjian Cao; Bingsheng He (ICDE, 2018)

Efficient Gradient Boosted Decision Tree Training on GPUs. - Zeyi Wen; Bingsheng He; Ramamohanarao Kotagiri; Shengliang Lu; Jiashuai Shi (IPDPS, 2018)

ThunderSVM: A Fast SVM Library on GPUs and CPUs. - Zeyi Wen; Jiashuai Shi; Qinbin Li; Bingsheng He; Jian Chen 011 (J. Mach. Learn. Res., 2018)

Scalable and fast SVM regression using modern hardware. - Zeyi Wen; Rui Zhang 003; Kotagiri Ramamohanarao; Li Yang (World Wide Web, 2018)

2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance. - Zeyi Wen; Dong Deng 001; Rui Zhang 003; Ramamohanarao Kotagiri (ICDE, 2019)

Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. - Zeyi Wen; Mingyu Liang; Bingsheng He; Zexin Xia; Bo Li 001 (ICDE, 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 014; Bingsheng He (CoRR, 2019)

Efficient Multi-Class Probabilistic SVMs on GPUs. - Zeyi Wen; Jiashuai Shi; Bingsheng He; Jian Chen 011; Yawen Chen (IEEE Trans. Knowl. Data Eng., 2019)

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. - Zeyi Wen; Jiashuai Shi; Bingsheng He; Jian Chen 011; Kotagiri Ramamohanarao; Qinbin Li (IEEE Trans. Parallel Distributed Syst., 2019)

Practical Federated Gradient Boosting Decision Trees. - Qinbin Li; Zeyi Wen; Bingsheng He (AAAI, 2020)

Privacy-Preserving Gradient Boosting Decision Trees. - Qinbin Li; Zhaomin Wu; Zeyi Wen; Bingsheng He (AAAI, 2020)

Entity Extraction with Knowledge from Web Scale Corpora. - Zeyi Wen; Zeyu Huang; Rui Zhang 003 (ADC, 2020)

ThunderGBM: Fast GBDTs and Random Forests on GPUs. - Zeyi Wen; Hanfeng Liu; Jiashuai Shi; Qinbin Li; Bingsheng He; Jian Chen 011 (J. Mach. Learn. Res., 2020)

Adaptive Kernel Value Caching for SVM Training. - Qinbin Li; Zeyi Wen; Bingsheng He (IEEE Trans. Neural Networks Learn. Syst., 2020)

FastPSO: Towards Efficient Swarm Intelligence Algorithm on GPUs. - Hanfeng Liu; Zeyi Wen; Wei Cai 002 (ICPP, 2021)

Challenges and Opportunities of Building Fast GBDT Systems. - Zeyi Wen; Qinbin Li; Bingsheng He; Bin Cui 001 (IJCAI, 2021)

Enhancing SVMs with Problem Context Aware Pipeline. - Zeyi Wen; Zhishang Zhou; Hanfeng Liu; Bingsheng He; Xia Li 007; Jian Chen 011 (KDD, 2021)

Efficient Second-Order Optimization for Neural Networks with Kernel Machines. - Yawen Chen; Yile Chen 004; Jian Chen 011; Zeyi Wen; Jin Huang 003 (CIKM, 2022)

Multi-Grained Interpre table Network for Image Recognition. - Peiyu Yang; Zeyi Wen; Ajmal Mian (ICPR, 2022)

Fast Parallel Bayesian Network Structure Learning. - Jiantong Jiang; Zeyi Wen; Ajmal Mian (IPDPS, 2022)

Fast Parallel Exact Inference on Bayesian Networks: Poster. - Jiantong Jiang; Zeyi Wen; Atif Bin Mansoor; Ajmal Mian (CoRR, 2022)

A High-Performance Index for Real-Time Matrix Retrieval. - Zeyi Wen; Mingyu Liang; Bingsheng He; Zexin Xia (IEEE Trans. Knowl. Data Eng., 2022)

Parallel and Distributed Structured SVM Training. - Jiantong Jiang; Zeyi Wen; Ze-ke Wang; Bingsheng He; Jian Chen 011 (IEEE Trans. Parallel Distributed Syst., 2022)

Local Path Integration for Attribution. - Peiyu Yang; Naveed Akhtar; Zeyi Wen; Ajmal Mian (AAAI, 2023)

A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). - Zeyi Wen; Mingyu Liang; Bingsheng He; Zexin Xia (ICDE, 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 (ICDM, 2023)

Re-calibrating Feature Attributions for Model Interpretation. - Peiyu Yang; Naveed Akhtar; Zeyi Wen; Mubarak Shah; Ajmal Saeed Mian (ICLR, 2023)

Fast Parallel Exact Inference on Bayesian Networks. - Jiantong Jiang; Zeyi Wen; Atif Bin Mansoor; Ajmal Mian (PPoPP, 2023)

Interpretable Traffic Event Analysis with Bayesian Networks. - Tong Yuan; Jian Yang; Zeyi Wen (CoRR, 2023)

Efficient Decomposition Selection for Multi-class Classification. - Yawen Chen; Zeyi Wen; Bingsheng He; Jian Chen 011 (IEEE Trans. Knowl. Data Eng., 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 032; Xu Liu 014; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2023)

Efficient Hyperparameter Optimization with Adaptive Fidelity Identification. - Jiantong Jiang; Zeyi Wen; Atif Bin Mansoor; Ajmal Mian (CVPR, 2024)

Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis. - Hanfeng Liu; Minping Chen; Zhenya Zheng; Zeyi Wen (EMNLP (Findings), 2024)

Enhancing the Performance of Bandit-based Hyperparameter Optimization. - Yile Chen 004; Zeyi Wen; Jian Chen 011; Jin Huang 003 (ICDE, 2024)

Fast Inference for Probabilistic Graphical Models. - Jiantong Jiang; Zeyi Wen; Atif Bin Mansoor; Ajmal Mian (USENIX ATC, 2024)

Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference. - Jiantong Jiang; Zeyi Wen; Peiyu Yang; Atif Bin Mansoor; Ajmal Mian (CoRR, 2024)

Parallel and Distributed Bayesian Network Structure Learning. - Jian Yang; Jiantong Jiang; Zeyi Wen; Ajmal Mian (IEEE Trans. Parallel Distributed Syst., 2024)

Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks. - Jiantong Jiang; Zeyi Wen; Atif Bin Mansoor; Ajmal Mian (IEEE Trans. Parallel Distributed Syst., 2024)

Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning. - Minping Chen; You-Liang Huang; Zeyi Wen (AAAI, 2025)

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression. - Xinhao Huang; You-Liang Huang; Zeyi Wen (AAAI, 2025)

ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. - Borui Xu; Zeyi Wen; Yao Chen 008; Weiguo Liu; Weng-Fai Wong; Bingsheng He (KDD (1), 2025)

Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. - Borui Xu; Yao Chen 008; Zeyi Wen; Weiguo Liu; Bingsheng He (NAACL (Long Papers), 2025)

Towards Recommendation on Good Quality Data Science Solutions. - Jian Chen 011; Yile Chen 004; Zeyi Wen; Yawen Chen; Jin Huang 007 (ACM Trans. Knowl. Discov. Data, 2025)

Leveraging pre-trained models for kernel machines. - Yawen Chen; Zeyi Wen; Jian Chen 011; Jin Huang 007 (Pattern Recognit., 2026)