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• affiliation:Tencent
• affiliation (former):Peking University, Beijing, China

• Yu Shen —disambiguation page
• Yu Shen0001 — University of Ottawa, School of Electrical Engineering and Computer Science, Ottawa, ON, Canada
• Yu Shen0002 —University of Edinburgh, School of Informatics, UK(and 1 more)
• Yu Shen0004 — Chongqing Technology and Business University, Chongqing, China

• Yu-Shen Liu
• Xiaoyu Shen(aka: Xiao-Yu Shen) —disambiguation page
• Xinyu Shen(aka: Xin-Yu Shen) —disambiguation page
• Yu-Lin Shen
• Yue Shen —disambiguation page
• Yuhan Shen(aka: Yu-Han Shen)
• Yulong Shen(aka: Yu-Long Shen) —disambiguation page
• Yu-Shen Yang
• Jianshe Yu(aka: Jian-Shen Yu) —Guangzhou University, College of Mathematics and Information Science, Guangzhou, China(and 1 more)
• Shyr-Shen Yu
• show all similar names

• 2025
• 
  [j9]
  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:
  SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence.Proc. VLDB Endow.18(12):4860-4873 (2025)
• 
  [j8]
  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:
  Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models.IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.44(12):4793-4806 (2025)
• 
  [c14]
  Yu Shen,Beicheng Xu,Yupeng Lu,Donghui Chen,Huaijun Jiang,Zhipeng Xie,Senbo Fu,Nan Zhang,Yuxin Ren,Ning Jia,Xinwei Hu,Bin Cui:
  A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads.ICDE2025:2161-2173
• 
  [i22]
  Jie Jiang,Siqi Shen,Haining Xie,Yang Li,Yu Shen,Danqing Huang,Bo Qian,Yinjun Wu,Wentao Zhang,Bin Cui,Peng Chen:
  SQLGovernor: An LLM-powered SQL Toolkit for Real World Application.CoRRabs/2509.08575 (2025)
• 2024
• 
  [j7]
  Huaijun Jiang,Yu Shen,Yang Li,Beicheng Xu,Sixian Du,Wentao Zhang,Ce Zhang,Bin Cui:
  OpenBox: A Python Toolkit for Generalized Black-box Optimization.J. Mach. Learn. Res.25:120:1-120:11 (2024)
• 
  [c13]
  Wentao Zhang,Guochen Yan,Yu Shen,Ling Yang,Yangyu Tao,Bin Cui,Jian Tang:
  NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.SIGMOD Conference Companion2024:414-427
• 
  [i21]
  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:
  SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models.CoRRabs/2411.06102 (2024)
• 2023
• 
  [j6]
  Yang Li,Huaijun Jiang,Yu Shen,Yide Fang,Xiaofeng Yang,Danqing Huang,Xinyi Zhang,Wentao Zhang,Ce Zhang,Peng Chen,Bin Cui:
  Towards General and Efficient Online Tuning for Spark.Proc. VLDB Endow.16(12):3570-3583 (2023)
• 
  [j5]
  Yang Li,Yu Shen,Wentao Zhang,Ce Zhang,Bin Cui:
  VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.VLDB J.32(2):389-413 (2023)
• 
  [c12]
  Yu Shen,Yang Li,Jian Zheng,Wentao Zhang,Peng Yao,Jixiang Li,Sen Yang,Ji Liu,Bin Cui:
  ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.AAAI2023:9792-9801
• 
  [c11]
  Yu Shen,Xinyuyang Ren,Yupeng Lu,Huaijun Jiang,Huanyong Xu,Di Peng,Yang Li,Wentao Zhang,Bin Cui:
  Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.KDD2023:4800-4812
• 
  [i20]
  Yu Shen,Yupeng Lu,Yang Li,Yaofeng Tu,Wentao Zhang,Bin Cui:
  DivBO: Diversity-aware CASH for Ensemble Learning.CoRRabs/2302.03255 (2023)
• 
  [i19]
  Yu Shen,Xinyuyang Ren,Yupeng Lu,Huaijun Jiang,Huanyong Xu,Di Peng,Yang Li,Wentao Zhang,Bin Cui:
  Rover: An online Spark SQL tuning service via generalized transfer learning.CoRRabs/2302.04046 (2023)
• 
  [i18]
  Tianyi Bai,Yang Li,Yu Shen,Xinyi Zhang,Wentao Zhang,Bin Cui:
  Transfer Learning for Bayesian Optimization: A Survey.CoRRabs/2302.05927 (2023)
• 
  [i17]
  Huaijun Jiang,Yu Shen,Yang Li,Wentao Zhang,Ce Zhang,Bin Cui:
  OpenBox: A Python Toolkit for Generalized Black-box Optimization.CoRRabs/2304.13339 (2023)
• 
  [i16]
  Yang Li,Huaijun Jiang,Yu Shen,Yide Fang,Xiaofeng Yang,Danqing Huang,Xinyi Zhang,Wentao Zhang,Ce Zhang,Peng Chen,Bin Cui:
  Towards General and Efficient Online Tuning for Spark.CoRRabs/2309.01901 (2023)
• 2022
• 
  [j4]
  Yang Bai,Yang Li,Yu Shen,Mingyu Yang,Wentao Zhang,Bin Cui:
  AutoDC: an automatic machine learning framework for disease classification.Bioinform.38(13):3415-3421 (2022)
• 
  [j3]
  Yang Li,Yu Shen,Huaijun Jiang,Wentao Zhang,Jixiang Li,Ji Liu,Ce Zhang,Bin Cui:
  Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.Proc. VLDB Endow.15(6):1256-1265 (2022)
• 
  [c10]
  Wentao Zhang,Zheyu Lin,Yu Shen,Yang Li,Zhi Yang,Bin Cui:
  Deep and Flexible Graph Neural Architecture Search.ICML2022:26362-26374
• 
  [c9]
  Wentao Zhang,Zeang Sheng,Mingyu Yang,Yang Li,Yu Shen,Zhi Yang,Bin Cui:
  NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.ICML2022:26467-26483
• 
  [c8]
  Yang Li,Yu Shen,Huaijun Jiang,Wentao Zhang,Zhi Yang,Ce Zhang,Bin Cui:
  TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.KDD2022:956-966
• 
  [c7]
  Yang Li,Yu Shen,Huaijun Jiang,Tianyi Bai,Wentao Zhang,Ce Zhang,Bin Cui:
  Transfer Learning based Search Space Design for Hyperparameter Tuning.KDD2022:967-977
• 
  [c6]
  Yu Shen,Yupeng Lu,Yang Li,Yaofeng Tu,Wentao Zhang,Bin Cui:
  DivBO: Diversity-aware CASH for Ensemble Learning.NeurIPS2022
• 
  [c5]
  Wentao Zhang,Yu Shen,Zheyu Lin,Yang Li,Xiaosen Li,Wen Ouyang,Yangyu Tao,Zhi Yang,Bin Cui:
  PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.WWW2022:1817-1828
• 
  [i15]
  Yang Li,Yu Shen,Huaijun Jiang,Wentao Zhang,Jixiang Li,Ji Liu,Ce Zhang,Bin Cui:
  Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.CoRRabs/2201.06834 (2022)
• 
  [i14]
  Wentao Zhang,Yu Shen,Zheyu Lin,Yang Li,Xiaosen Li,Wen Ouyang,Yangyu Tao,Zhi Yang,Bin Cui:
  PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm.CoRRabs/2203.00638 (2022)
• 
  [i13]
  Yang Li,Yu Shen,Huaijun Jiang,Tianyi Bai,Wentao Zhang,Ce Zhang,Bin Cui:
  Transfer Learning based Search Space Design for Hyperparameter Tuning.CoRRabs/2206.02511 (2022)
• 
  [i12]
  Yang Li,Yu Shen,Huaijun Jiang,Wentao Zhang,Zhi Yang,Ce Zhang,Bin Cui:
  TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.CoRRabs/2206.02663 (2022)
• 
  [i11]
  Wentao Zhang,Zheyu Lin,Yu Shen,Yang Li,Zhi Yang,Bin Cui:
  DFG-NAS: Deep and Flexible Graph Neural Architecture Search.CoRRabs/2206.08582 (2022)
• 
  [i10]
  Wentao Zhang,Zeang Sheng,Mingyu Yang,Yang Li,Yu Shen,Zhi Yang,Bin Cui:
  NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.CoRRabs/2206.08583 (2022)
• 
  [i9]
  Yang Li,Yu Shen,Wentao Zhang,Ce Zhang,Bin Cui:
  Efficient End-to-End AutoML via Scalable Search Space Decomposition.CoRRabs/2206.09423 (2022)
• 2021
• 
  [j2]
  Yang Li,Yu Shen,Wentao Zhang,Jiawei Jiang,Yaliang Li,Bolin Ding,Jingren Zhou,Zhi Yang,Wentao Wu,Ce Zhang,Bin Cui:
  VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.Proc. VLDB Endow.14(11):2167-2176 (2021)
• 
  [j1]
  Wentao Zhang,Zhi Yang,Yexin Wang,Yu Shen,Yang Li,Liang Wang,Bin Cui:
  Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.Proc. VLDB Endow.14(11):2473-2482 (2021)
• 
  [c4]
  Yang Li,Yu Shen,Jiawei Jiang,Jinyang Gao,Ce Zhang,Bin Cui:
  MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.AAAI2021:8491-8500
• 
  [c3]
  Wentao Zhang,Yuezihan Jiang,Yang Li,Zeang Sheng,Yu Shen,Xupeng Miao,Liang Wang,Zhi Yang,Bin Cui:
  ROD: Reception-aware Online Distillation for Sparse Graphs.KDD2021:2232-2242
• 
  [c2]
  Yang Li,Yu Shen,Wentao Zhang,Yuanwei Chen,Huaijun Jiang,Mingchao Liu,Jiawei Jiang,Jinyang Gao,Wentao Wu,Zhi Yang,Ce Zhang,Bin Cui:
  OpenBox: A Generalized Black-box Optimization Service.KDD2021:3209-3219
• 
  [c1]
  Wentao Zhang,Yu Shen,Yang Li,Lei Chen,Zhi Yang,Bin Cui:
  ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.SIGMOD Conference2021:2366-2374
• 
  [i8]
  Wentao Zhang,Yu Shen,Zheyu Lin,Yang Li,Xiaosen Li,Wen Ouyang,Yangyu Tao,Zhi Yang,Bin Cui:
  GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.CoRRabs/2104.09880 (2021)
• 
  [i7]
  Yang Li,Yu Shen,Wentao Zhang,Yuanwei Chen,Huaijun Jiang,Mingchao Liu,Jiawei Jiang,Jinyang Gao,Wentao Wu,Zhi Yang,Ce Zhang,Bin Cui:
  OpenBox: A Generalized Black-box Optimization Service.CoRRabs/2106.00421 (2021)
• 
  [i6]
  Yang Li,Yu Shen,Wentao Zhang,Jiawei Jiang,Bolin Ding,Yaliang Li,Jingren Zhou,Zhi Yang,Wentao Wu,Ce Zhang,Bin Cui:
  VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.CoRRabs/2107.08861 (2021)
• 
  [i5]
  Wentao Zhang,Yuezihan Jiang,Yang Li,Zeang Sheng,Yu Shen,Xupeng Miao,Liang Wang,Zhi Yang,Bin Cui:
  ROD: Reception-aware Online Distillation for Sparse Graphs.CoRRabs/2107.11789 (2021)
• 
  [i4]
  Wentao Zhang,Zhi Yang,Yexin Wang,Yu Shen,Yang Li,Liang Wang,Bin Cui:
  Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.CoRRabs/2108.00219 (2021)
• 
  [i3]
  Yu Shen,Yang Li,Jian Zheng,Wentao Zhang,Peng Yao,Jixiang Li,Sen Yang,Ji Liu,Bin Cui:
  ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies.CoRRabs/2110.10423 (2021)
• 
  [i2]
  Huaijun Jiang,Yu Shen,Yang Li:
  Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup.CoRRabs/2111.00513 (2021)
• 2020
• 
  [i1]
  Yang Li,Yu Shen,Jiawei Jiang,Jinyang Gao,Ce Zhang,Bin Cui:
  MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.CoRRabs/2012.03011 (2020)

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