Yu Shen - RankMe

45 papers A* 12Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. ICDE Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui
2025	J	`jnl`	SQLGovernor: An LLM-powered SQL Toolkit for Real World Application. CoRR Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen
2025	J	`jnl`	SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence. Proc. VLDB Endow. Jie Jiang, Haining Xie, Siqi Shen, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yang Li, Chunyou Li, Danqing Huang, Yinjun Wu, Wentao Zhang, Xiaofeng Yang, Bin Cui, Peng Chen
2025	J	`jnl`	Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Chen Zhang, Yu Shen, Yifan Chen, Zekang Cheng, Yu Jiang, Tianqi Wang, Yibo Lin, Wei Hu, Bin Cui, Runsheng Wang, Yun Liang, Guangyu Sun
2024	—	`conf`	NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang
2024	J	`jnl`	OpenBox: A Python Toolkit for Generalized Black-box Optimization. J. Mach. Learn. Res. Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui
2024	J	`jnl`	SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. CoRR Jie Jiang, Haining Xie, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yide Fang, Chunyou Li, Danqing Huang, Wentao Zhang, Yang Li, Xiaofeng Yang, Bin Cui, Peng Chen
2023	J	`jnl`	DivBO: Diversity-aware CASH for Ensemble Learning. CoRR Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui
2023	J	`jnl`	OpenBox: A Python Toolkit for Generalized Black-box Optimization. CoRR Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui
2023	A*	`conf`	ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
2023	A*	`conf`	Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. KDD Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
2023	J	`jnl`	Rover: An online Spark SQL tuning service via generalized transfer learning. CoRR Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
2023	J	`jnl`	Towards General and Efficient Online Tuning for Spark. CoRR Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
2023	J	`jnl`	Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
2023	J	`jnl`	Transfer Learning for Bayesian Optimization: A Survey. CoRR Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui
2023	J	`jnl`	VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
2022	J	`jnl`	AutoDC: an automatic machine learning framework for disease classification. Bioinform. Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui
2022	J	`jnl`	DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
2022	A*	`conf`	Deep and Flexible Graph Neural Architecture Search. ICML Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
2022	A*	`conf`	DivBO: Diversity-aware CASH for Ensemble Learning. NeurIPS Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui
2022	J	`jnl`	Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
2022	J	`jnl`	Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
2022	J	`jnl`	Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui
2022	A*	`conf`	NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
2022	J	`jnl`	NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
2022	A*	`conf`	PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2022	J	`jnl`	PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2022	A*	`conf`	TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
2022	J	`jnl`	TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui
2022	A*	`conf`	Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
2022	J	`jnl`	Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui
2021	—	`conf`	ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. SIGMOD Conference Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui
2021	J	`jnl`	Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup. CoRR Huaijun Jiang, Yu Shen, Yang Li
2021	J	`jnl`	GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2021	J	`jnl`	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui
2021	J	`jnl`	Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui
2021	A*	`conf`	MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. AAAI Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui
2021	A*	`conf`	OpenBox: A Generalized Black-box Optimization Service. KDD Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
2021	J	`jnl`	OpenBox: A Generalized Black-box Optimization Service. CoRR Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
2021	J	`jnl`	ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui
2021	A*	`conf`	ROD: Reception-aware Online Distillation for Sparse Graphs. KDD Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui
2021	J	`jnl`	ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021	J	`jnl`	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2020	J	`jnl`	MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. CoRR Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui