Bin Wu

According to our database, Bin Wu authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Learning-based query optimization for multi-probe approximate nearest neighbor search.

Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, Feilong Tang

VLDB J., May, 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.

Chunhui Shen, Qianyu Ouyang, Feibo Li, Zhipeng Liu, Longcheng Zhu, Yujie Zou, Qing Su, Tianhuan Yu, Yi Yi, Jianhong Hu, Cen Zheng, Bo Wen, Hanbang Zheng, Lunfan Xu, Sicheng Pan, Bin Wu, Xiao He, Ye Li, Jian Tan, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2023

Anser: Adaptive Information Sharing Framework of AnalyticDB.

Liang Lin, Yuhan Li, Bin Wu, Huijun Mai, Renjie Lou, Jian Tan, Feifei Li

Proc. VLDB Endow., 2023

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting.

Xiao He, Ye Li, Jian Tan, Bin Wu, Feifei Li

Proc. VLDB Endow., 2023

CatSQL: Towards Real World Natural Language to SQL Applications.

Han Fu, Chang Liu, Bin Wu, Feifei Li, Jian Tan, Jianling Sun

Proc. VLDB Endow., 2023

Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution.

Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu

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

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices.

Ye Li, Jian Tan, Bin Wu, Xiao He, Feifei Li

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Releasing Private Data for Numerical Queries.

Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Cquirrel: Continuous Query Processing over Acyclic Relational Schemas.

Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan

Proc. VLDB Endow., 2021

Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries.

Yuan Qiu, Yilei Wang, Ke Yi, Feifei Li, Bin Wu, Chaoqun Zhan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data.

Chuangxian Wei, Bin Wu, Sheng Wang, Renjie Lou, Chaoqun Zhan, Feifei Li, Yuanzhe Cai

Proc. VLDB Endow., 2020

2018

Deep Meta-Learning: Learning to Learn in the Concept Space.

Fengwei Zhou, Bin Wu, Zhenguo Li

CoRR, 2018

2017

Wander Join and XDB: Online Aggregation via Random Walks.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

SIGMOD Rec., 2017

2016

Counting Triangles in Large Graphs by Random Sampling.

Bin Wu, Ke Yi, Zhenguo Li

IEEE Trans. Knowl. Data Eng., 2016

Wander Join: Online Aggregation for Joins.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

Proceedings of the 2016 International Conference on Management of Data, 2016

Wander Join: Online Aggregation via Random Walks.

Feifei Li, Bin Wu, Ke Yi, Zhuoyue Zhao

Proceedings of the 2016 International Conference on Management of Data, 2016