Zeyi Wen - RankMe

79 papers A* 25A 8B 4Misc 3Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning. AAAI Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
2026	J	`jnl`	An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU. CoRR Ruijia Yang, Zeyi Wen
2026	J	`jnl`	Leveraging pre-trained models for kernel machines. Pattern Recognit. Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang
2026	J	`jnl`	Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verification. CoRR Guang Huang, Zeyi Wen
2026	J	`jnl`	Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance. CoRR Jihang Li, Qing Liu, Zulong Chen, Jing Wang, Wei Wang, Chuanfei Xu, Zeyi Wen
2025	B	`conf`	Accelerating Multi-Output GBDTs with GPUs. ICPP Hanfeng Liu, Xuemei Peng, Zeyi Wen
2025	A*	`conf`	EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference. EMNLP Yuebin Xu, Zhiyi Chen, Zeyi Wen
2025	A	`conf`	Efficient Mask Learning for Language Model Fine-Tuning. CIKM Minping Chen, Ruijia Yang, Zeyi Wen
2025	—	`conf`	Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions. EMNLP (Industry Track) Jihang Li, Bing Xu, Zulong Chen, Chuanfei Xu, Minping Chen, Suyu Liu, Ying Zhou, Zeyi Wen
2025	J	`jnl`	Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions. CoRR Jihang Li, Bing Xu, Zulong Chen, Chuanfei Xu, Minping Chen, Suyu Liu, Ying Zhou, Zeyi Wen
2025	—	`conf`	Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. NAACL (Long Papers) Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He
2025	J	`jnl`	Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance. CoRR Borui Xu, Yao Chen, Zeyi Wen, Weiguo Liu, Bingsheng He
2025	A	`conf`	KALE: Knowledge Aggregation for Label-free Model Enhancement. CIKM Yuebin Xu, Xuemei Peng, Zhiyi Chen, Zeyi Wen
2025	A*	`conf`	RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition. IJCAI Xudong Yang, Yizhang Zhu, Hanfeng Liu, Zeyi Wen, Nan Tang, Yuyu Luo
2025	A*	`conf`	SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval. EMNLP Xinhao Huang, Zhibo Ren, Yipeng Yu, Ying Zhou, Zulong Chen, Zeyi Wen
2025	J	`jnl`	SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval. CoRR Xinhao Huang, Zhibo Ren, Yipeng Yu, Ying Zhou, Zulong Chen, Zeyi Wen
2025	—	`conf`	ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU. KDD (1) Borui Xu, Zeyi Wen, Yao Chen, Weiguo Liu, Weng-Fai Wong, Bingsheng He
2025	A*	`conf`	SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression. AAAI Xinhao Huang, You-Liang Huang, Zeyi Wen
2025	A	`conf`	Tilia: Enhancing LIME with Decision Tree Surrogates. CIKM Jihang Li, Jiacheng Qiu, Yin-Ping Zhao, Zeyi Wen
2025	A*	`conf`	Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning. AAAI Minping Chen, You-Liang Huang, Zeyi Wen
2025	J	`jnl`	Towards Recommendation on Good Quality Data Science Solutions. ACM Trans. Knowl. Discov. Data Jian Chen, Yile Chen, Zeyi Wen, Yawen Chen, Jin Huang
2024	A*	`conf`	Efficient Hyperparameter Optimization with Adaptive Fidelity Identification. CVPR Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian
2024	A*	`conf`	Enhancing the Performance of Bandit-based Hyperparameter Optimization. ICDE Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
2024	—	`conf`	Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis. EMNLP (Findings) Hanfeng Liu, Minping Chen, Zhenya Zheng, Zeyi Wen
2024	—	`conf`	Fast Inference for Probabilistic Graphical Models. USENIX ATC Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian
2024	J	`jnl`	Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference. CoRR Jiantong Jiang, Zeyi Wen, Peiyu Yang, Atif Bin Mansoor, Ajmal Mian
2024	J	`jnl`	Faster-BNI: Fast Parallel Exact Inference on Bayesian Networks. IEEE Trans. Parallel Distributed Syst. Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian
2024	J	`jnl`	Parallel and Distributed Bayesian Network Structure Learning. IEEE Trans. Parallel Distributed Syst. Jian Yang, Jiantong Jiang, Zeyi Wen, Ajmal Mian
2023	A*	`conf`	A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). ICDE Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
2023	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
2023	J	`jnl`	Efficient Decomposition Selection for Multi-class Classification. IEEE Trans. Knowl. Data Eng. Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen
2023	B	`conf`	Fast Parallel Exact Inference on Bayesian Networks. PPoPP Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian
2023	J	`jnl`	Interpretable Traffic Event Analysis with Bayesian Networks. CoRR Tong Yuan, Jian Yang, Zeyi Wen
2023	A*	`conf`	Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. ICDM Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He
2023	A*	`conf`	Local Path Integration for Attribution. AAAI Peiyu Yang, Naveed Akhtar, Zeyi Wen, Ajmal Mian
2023	A*	`conf`	Re-calibrating Feature Attributions for Model Interpretation. ICLR Peiyu Yang, Naveed Akhtar, Zeyi Wen, Mubarak Shah, Ajmal Saeed Mian
2022	J	`jnl`	A High-Performance Index for Real-Time Matrix Retrieval. IEEE Trans. Knowl. Data Eng. Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia
2022	A	`conf`	Efficient Second-Order Optimization for Neural Networks with Kernel Machines. CIKM Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang
2022	A	`conf`	Fast Parallel Bayesian Network Structure Learning. IPDPS Jiantong Jiang, Zeyi Wen, Ajmal Mian
2022	J	`jnl`	Fast Parallel Bayesian Network Structure Learning. CoRR Jiantong Jiang, Zeyi Wen, Ajmal Mian
2022	J	`jnl`	Fast Parallel Exact Inference on Bayesian Networks: Poster. CoRR Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian
2022	B	`conf`	Multi-Grained Interpre table Network for Image Recognition. ICPR Peiyu Yang, Zeyi Wen, Ajmal Mian
2022	J	`jnl`	Parallel and Distributed Structured SVM Training. IEEE Trans. Parallel Distributed Syst. Jiantong Jiang, Zeyi Wen, Zeke Wang, Bingsheng He, Jian Chen
2021	A*	`conf`	Challenges and Opportunities of Building Fast GBDT Systems. IJCAI Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui
2021	A*	`conf`	Enhancing SVMs with Problem Context Aware Pipeline. KDD Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen
2021	B	`conf`	FastPSO: Towards Efficient Swarm Intelligence Algorithm on GPUs. ICPP Hanfeng Liu, Zeyi Wen, Wei Cai
2020	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. IEEE Trans. Neural Networks Learn. Syst. Qinbin Li, Zeyi Wen, Bingsheng He
2020	Misc	`conf`	Entity Extraction with Knowledge from Web Scale Corpora. ADC Zeyi Wen, Zeyu Huang, Rui Zhang
2020	A*	`conf`	Practical Federated Gradient Boosting Decision Trees. AAAI Qinbin Li, Zeyi Wen, Bingsheng He
2020	A*	`conf`	Privacy-Preserving Gradient Boosting Decision Trees. AAAI Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2020	J	`jnl`	ThunderGBM: Fast GBDTs and Random Forests on GPUs. J. Mach. Learn. Res. Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
2019	A*	`conf`	2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance. ICDE Zeyi Wen, Dong Deng, Rui Zhang, Ramamohanarao Kotagiri
2019	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He
2019	J	`jnl`	Adaptive Kernel Value Caching for SVM Training. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	A*	`conf`	Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. ICDE Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li
2019	A*	`conf`	Efficient Multi-Class Probabilistic SVMs on GPUs. ICDE Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen
2019	J	`jnl`	Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Trans. Knowl. Data Eng. Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Yawen Chen
2019	J	`jnl`	Entity Extraction with Knowledge from Web Scale Corpora. CoRR Zeyi Wen, Zeyu Huang, Rui Zhang
2019	J	`jnl`	Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li
2019	J	`jnl`	Practical Federated Gradient Boosting Decision Trees. CoRR Qinbin Li, Zeyi Wen, Bingsheng He
2019	J	`jnl`	Privacy-Preserving Gradient Boosting Decision Trees. CoRR Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2018	A	`conf`	Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi
2018	A*	`conf`	Efficient Support Vector Machine Training Algorithm on GPUs. AAAI Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen
2018	A*	`conf`	RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. ICDE Zeyi Wen, Xingyang Liu, Hongjian Cao, Bingsheng He
2018	J	`jnl`	Scalable and fast SVM regression using modern hardware. World Wide Web Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang
2018	A*	`conf`	Selecting Proper Multi-Class SVM Training Methods. AAAI Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang
2018	J	`jnl`	ThunderSVM: A Fast SVM Library on GPUs and CPUs. J. Mach. Learn. Res. Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
2017	J	`jnl`	A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity. CoRR Zeyi Wen, Dong Deng, Rui Zhang, Kotagiri Ramamohanarao
2017	A*	`conf`	Improving Efficiency of SVM AAAI Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang
2016	J	`jnl`	Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. CoRR Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang
2015	J	`jnl`	Analysis and evaluation of the top-k most influential location selection query. Knowl. Inf. Syst. Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang
2015	—	`—`	Highly scalable and effective algorithms for training support vector machines. Zeyi Wen
2015	J	`jnl`	Indexable online time series segmentation with error bound guarantee. World Wide Web Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen, Dan Wu
2015	A*	`conf`	The safest path via safe zones. ICDE Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Zeyi Wen
2014	Misc	`conf`	Efficient Subgraph Matching Using GPUs. ADC Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi
2014	A	`conf`	Enabling Precision/Recall Preferences for Semi-supervised SVM Training. CIKM Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao
2014	A*	`conf`	MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs. ICDM Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry L. Taylor
2012	Misc	`conf`	A Branch and Bound Method for Min-dist Location Selection Queries. ADC Jianzhong Qi, Zhenghua Xu, Yuan Xue, Zeyi Wen
2011	A	`conf`	Top-k most influential locations selection. CIKM Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He