Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDJingren Zhou
Person information
- affiliation: Microsoft Research
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[i27]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021)- [i26]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR abs/2101.03298 (2021) - 2020
- [j27]Wenfei Fan, Muyang Liu, Chao Tian, Ruiqi Xu, Jingren Zhou:
Incrementalization of Graph Partitioning Algorithms. Proc. VLDB Endow. 13(8): 1261-1274 (2020) - [j26]Bingqing Lyu, Lu Qin, Xuemin Lin, Ying Zhang, Zhengping Qian, Jingren Zhou:
Maximum Biclique Search at Billion Scale. Proc. VLDB Endow. 13(9): 1359-1372 (2020) - [j25]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou:
Capturing Associations in Graphs. Proc. VLDB Endow. 13(11): 1863-1876 (2020) - [j24]Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou:
Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. Proc. VLDB Endow. 13(11): 2760-2772 (2020) - [j23]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. 13(13): 3545-3558 (2020) - [j22]Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin
, Xiaojian Luo, Jingren Zhou, Ruochun Jin:
Adaptive Asynchronous Parallelization of Graph Algorithms. ACM Trans. Database Syst. 45(2): 6:1-6:45 (2020) - [j21]Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou:
Efficient (α, β)-core computation in bipartite graphs. VLDB J. 29(5): 1075-1099 (2020) - [c51]Peiquan Jin, Jianchuan Li, Lin Mu, Jingren Zhou, Jie Zhao:
Effective Sentiment Analysis for Multimodal Review Data on the Web. ICA3PP (3) 2020: 623-638 - [c50]Rong Zhu, Sheng Yang, Andreas Pfadler, Zhengping Qian, Jingren Zhou:
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD. ICLR 2020 - [c49]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c48]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Linear and Range Counting under Metric-based Local Differential Privacy. ISIT 2020: 908-913 - [c47]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676 - [c46]Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. KDD 2020: 2744-2754 - [c45]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. ACM Multimedia 2020: 1292-1301 - [c44]Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu:
Learning to Mutate with Hypergradient Guided Population. NeurIPS 2020 - [c43]Jingren Zhou, Peiquan Jin:
Sentiment Analysis of Online Reviews with a Hierarchical Attention Network. SEKE 2020: 429-434 - [c42]Grace Fan, Wenfei Fan, Yuanhao Li, Ping Lu, Chao Tian, Jingren Zhou:
Extending Graph Patterns with Conditions. SIGMOD Conference 2020: 715-729 - [c41]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Application Driven Graph Partitioning. SIGMOD Conference 2020: 1765-1779 - [c40]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. SIGMOD Conference 2020: 2797-2800 - [c39]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. WWW 2020: 1988-1998 - [i25]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i24]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR abs/2003.01917 (2020) - [i23]Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang:
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. CoRR abs/2003.13198 (2020) - [i22]Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou:
Taming the Expressiveness and Programmability of Graph Analytical Queries. CoRR abs/2004.09045 (2020) - [i21]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020) - [i20]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation at Scale. CoRR abs/2005.12964 (2020) - [i19]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. CoRR abs/2006.13608 (2020) - [i18]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i17]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. CoRR abs/2008.06880 (2020) - [i16]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Intertwining Order Preserving Encryption and Differential Privacy. CoRR abs/2009.05679 (2020) - [i15]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). CoRR abs/2009.13631 (2020) - [i14]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. CoRR abs/2010.05894 (2020) - [i13]Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou:
FSPN: A New Class of Probabilistic Graphical Model. CoRR abs/2011.09020 (2020) - [i12]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR abs/2011.09022 (2020) - [i11]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. CoRR abs/2012.03540 (2020)
2010 – 2019
- 2019
- [j20]Wenfei Fan, Ping Lu, Chao Tian, Jingren Zhou:
Deducing Certain Fixes to Graphs. Proc. VLDB Endow. 12(7): 752-765 (2019) - [j19]Wenfei Fan, Chunming Hu, Muyang Liu, Ping Lu, Qiang Yin, Jingren Zhou:
Dynamic Scaling for Parallel Graph Computations. Proc. VLDB Endow. 12(8): 877-890 (2019) - [j18]Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou:
Distributed Subgraph Matching on Timely Dataflow. Proc. VLDB Endow. 12(10): 1099-1112 (2019) - [j17]Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang:
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. 12(12): 1862-1865 (2019) - [j16]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. Proc. VLDB Endow. 12(12): 2094-2105 (2019) - [j15]Yuzhen Huang, Yingjie Shi, Zheng Zhong, Yihui Feng, James Cheng, Jiwei Li, Haochuan Fan, Chao Li, Tao Guan, Jingren Zhou:
Yugong: Geo-Distributed Data and Job Placement at Scale. Proc. VLDB Endow. 12(12): 2155-2169 (2019) - [j14]You Peng, Ying Zhang, Xuemin Lin, Wenjie Zhang, Lu Qin, Jingren Zhou:
Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice. Proc. VLDB Endow. 13(4): 463-476 (2019) - [j13]Bingsheng He, Yunji Chen, Jingren Zhou:
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5(1): 2-3 (2019) - [c38]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CIKM 2019: 679-688 - [c37]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c36]Jingren Zhou:
Towards self-managing cloud-scale computing platforms: Experiences and challenges. ICDE Workshops 2019: 116 - [c35]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c34]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD 2019: 932-940 - [c33]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368 - [c32]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904 - [c31]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050 - [c30]Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference 2019: 159-176 - [c29]Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou:
Efficient (a,β)-core Computation: an Index-based Approach. WWW 2019: 1130-1141 - [i10]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. CoRR abs/1902.08730 (2019) - [i9]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019) - [i8]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019) - [i7]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR abs/1905.10668 (2019) - [i6]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019) - [i5]Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou:
A Survey and Experimental Analysis of Distributed Subgraph Matching. CoRR abs/1906.11518 (2019) - [i4]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CoRR abs/1908.10611 (2019) - [i3]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha:
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. CoRR abs/1908.11515 (2019) - [i2]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR abs/1909.11778 (2019) - 2018
- [j12]Xiafei Qiu, Wubin Cen, Zhengping Qian, You Peng, Ying Zhang, Xuemin Lin, Jingren Zhou:
Real-time Constrained Cycle Detection in Large Dynamic Graphs. Proc. VLDB Endow. 11(12): 1876-1888 (2018) - [j11]Wenfei Fan, Wenyuan Yu, Jingbo Xu, Jingren Zhou, Xiaojian Luo, Qiang Yin, Ping Lu, Yang Cao, Ruiqi Xu:
Parallelizing Sequential Graph Computations. ACM Trans. Database Syst. 43(4): 18:1-18:39 (2018) - [c28]Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou:
Deep Graph Embedding for Ranking Optimization in E-commerce. CIKM 2018: 2007-2015 - [r12]Jingren Zhou:
Evaluation of Relational Operators. Encyclopedia of Database Systems (2nd ed.) 2018 - [r11]Jingren Zhou:
Hash Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Jingren Zhou:
Index Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Jingren Zhou:
Join Order. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Jingren Zhou:
Nested Loop Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Jingren Zhou:
Sort-Merge Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou:
PANDA: Facilitating Usable AI Development. CoRR abs/1804.09997 (2018) - 2017
- [c27]Jingren Zhou:
Big Data Analytics and Intelligence at Alibaba Cloud. ASPLOS 2017: 1 - 2016
- [c26]Wei Lin, Haochuan Fan, Zhengping Qian, Junwei Xu, Sen Yang, Jingren Zhou, Lidong Zhou:
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams. NSDI 2016: 439-453 - 2015
- [j10]Eric Boutin, Paul Brett, Xiaoyu Chen, Jaliya Ekanayake, Tao Guan, Anna Korsun, Zhicheng Yin, Nan Zhang, Jingren Zhou:
JetScope: Reliable and Interactive Analytics at Cloud Scale. Proc. VLDB Endow. 8(12): 1680-1691 (2015) - [j9]Xuepeng Fan, Zhenyu Guo, Hai Jin, Xiaofei Liao, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. IEEE Trans. Parallel Distributed Syst. 26(6): 1718-1731 (2015) - 2014
- [c25]Weizhu Chen, Zhenghao Wang, Jingren Zhou:
Large-scale L-BFGS using MapReduce. NIPS 2014: 1332-1340 - [c24]Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou:
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. OSDI 2014: 285-300 - 2013
- [j8]Nicolas Bruno, Sapna Jain, Jingren Zhou:
Recurring Job Optimization for Massively Distributed Query Processing. IEEE Data Eng. Bull. 36(1): 46-55 (2013) - [j7]Nicolas Bruno, Sapna Jain, Jingren Zhou:
Continuous Cloud-Scale Query Optimization and Processing. Proc. VLDB Endow. 6(11): 961-972 (2013) - 2012
- [j6]Jingren Zhou, Nicolas Bruno, Ming-Chuan Wu, Per-Åke Larson, Ronnie Chaiken, Darren Shakib:
SCOPE: parallel databases meet MapReduce. VLDB J. 21(5): 611-636 (2012) - [c23]Yasin N. Silva, Per-Åke Larson, Jingren Zhou:
Exploiting Common Subexpressions for Cloud Query Processing. ICDE 2012: 1337-1348 - [c22]Sameer Agarwal, Srikanth Kandula, Nicolas Bruno, Ming-Chuan Wu, Ion Stoica, Jingren Zhou:
Reoptimizing Data Parallel Computing. NSDI 2012: 281-294 - [c21]Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Y. Li, Wei Lin, Jingren Zhou, Lidong Zhou:
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. NSDI 2012: 295-308 - [c20]Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. OSDI 2012: 121-133 - [c19]Ming-Chuan Wu, Jingren Zhou, Nicolas Bruno, Yu Zhang, Jon Fowler:
Scope playback: self-validation in the cloud. DBTest 2012: 3 - [c18]Jingren Zhou, Nicolas Bruno, Wei Lin:
Advanced partitioning techniques for massively distributed computation. SIGMOD Conference 2012: 13-24 - [c17]Nicolas Bruno, Sameer Agarwal, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou:
Recurring job optimization in scope. SIGMOD Conference 2012: 805-806 - 2010
- [c16]Jingren Zhou, Per-Åke Larson, Ronnie Chaiken:
Incorporating partitioning and parallel plans into the SCOPE optimizer. ICDE 2010: 1060-1071
2000 – 2009
- 2009
- [r6]Jingren Zhou:
Evaluation of Relational Operators. Encyclopedia of Database Systems 2009: 1024-1029 - [r5]Jingren Zhou:
Hash Join. Encyclopedia of Database Systems 2009: 1288-1289 - [r4]Jingren Zhou:
Index Join. Encyclopedia of Database Systems 2009: 1427-1428 - [r3]Jingren Zhou:
Join Order. Encyclopedia of Database Systems 2009: 1582-1583 - [r2]Jingren Zhou:
Nested Loop Join. Encyclopedia of Database Systems 2009: 1895 - [r1]Jingren Zhou:
Sort-Merge Join. Encyclopedia of Database Systems 2009: 2673-2674 - 2008
- [j5]Ronnie Chaiken, Bob Jenkins, Per-Åke Larson, Bill Ramsey, Darren Shakib, Simon Weaver, Jingren Zhou:
SCOPE: easy and efficient parallel processing of massive data sets. Proc. VLDB Endow. 1(2): 1265-1276 (2008) - 2007
- [j4]Per-Åke Larson, Jingren Zhou:
View matching for outer-join views. VLDB J. 16(1): 29-53 (2007) - [c15]Per-Åke Larson, Jingren Zhou:
Efficient Maintenance of Materialized Outer-Join Views. ICDE 2007: 56-65 - [c14]Jingren Zhou, Per-Åke Larson, Jonathan Goldstein, Luping Ding:
Dynamic Materialized Views. ICDE 2007: 526-535 - [c13]Per-Åke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback:
Cardinality estimation using sample views with quality assurance. SIGMOD Conference 2007: 175-186 - [c12]Jingren Zhou, Per-Åke Larson, Johann Christoph Freytag, Wolfgang Lehner:
Efficient exploitation of similar subexpressions for query processing. SIGMOD Conference 2007: 533-544 - [c11]Per-Åke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback:
Exploiting self-monitoring sample views for cardinality estimation. SIGMOD Conference 2007: 1073-1075 - [c10]Jingren Zhou, Per-Åke Larson, Hicham G. Elmongui:
Lazy Maintenance of Materialized Views. VLDB 2007: 231-242 - 2005
- [j3]Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou:
Architecture Sensitive Database Design: Examples from the Columbia Group. IEEE Data Eng. Bull. 28(2): 5-10 (2005) - [j2]Kenneth A. Ross, Rada Chirkova, Dimitrios Gunopulos, Rachel Pottinger, Jun Yang, Jingren Zhou:
Reminiscences on influential papers. SIGMOD Rec. 34(1): 74-76 (2005) - [c9]David DeHaan, Per-Åke Larson, Jingren Zhou:
Stacked indexed views in microsoft SQL server. SIGMOD Conference 2005: 179-190 - [c8]Jingren Zhou, John Cieslewicz, Kenneth A. Ross, Mihir Shah:
Improving Database Performance on Simultaneous Multithreading Processors. VLDB 2005: 49-60 - [c7]Per-Åke Larson, Jingren Zhou:
View Matching for Outer-Join Views. VLDB 2005: 445-456 - 2004
- [j1]Per-Åke Larson, Jonathan Goldstein, Hongfei Guo, Jingren Zhou:
MTCache: Mid-Tier Database Caching for SQL Server. IEEE Data Eng. Bull. 27(2): 35-40 (2004) - [c6]Per-Åke Larson, Jonathan Goldstein, Jingren Zhou:
MTCache: Transparent Mid-Tier Database Caching in SQL Server. ICDE 2004: 177-188 - [c5]Jingren Zhou, Kenneth A. Ross:
Buffering Database Operations for Enhanced Instruction Cache Performance. SIGMOD Conference 2004: 191-202 - 2003
- [c4]Jingren Zhou, Kenneth A. Ross:
A Multi-Resolution Block Storage Model for Database Design. IDEAS 2003: 22-33 - [c3]Per-Åke Larson, Jonathan Goldstein, Jingren Zhou:
Transparent Mid-Tier Database Caching in SQL Server. SIGMOD Conference 2003: 661 - [c2]Jingren Zhou, Kenneth A. Ross:
Buffering Accesses to Memory-Resident Index Structures. VLDB 2003: 405-416 - 2002
- [c1]Jingren Zhou, Kenneth A. Ross:
Implementing database operations using SIMD instructions. SIGMOD Conference 2002: 145-156