Scope: easy and efficient parallel processing of massive data sets R Chaiken, B Jenkins, PÅ Larson, B Ramsey, D Shakib, S Weaver, J Zhou Proceedings of the VLDB Endowment 1 (2), 1265-1276, 2008 | 1070 | 2008 |
Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework P Wang, A Yang, R Men, J Lin, S Bai, Z Li, J Ma, C Zhou, J Zhou, H Yang International Conference on Machine Learning, 23318-23340, 2022 | 797 | 2022 |
Apollo: Scalable and coordinated scheduling for {Cloud-Scale} computing E Boutin, J Ekanayake, W Lin, B Shi, J Zhou, Z Qian, M Wu, L Zhou 11th USENIX symposium on operating systems design and implementation (OSDI …, 2014 | 495 | 2014 |
Representation learning for attributed multiplex heterogeneous network Y Cen, X Zou, J Zhang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 431 | 2019 |
Implementing database operations using SIMD instructions J Zhou, KA Ross Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002 | 363 | 2002 |
Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 295 | 2023 |
Reoptimizing data parallel computing S Agarwal, S Kandula, N Bruno, MC Wu, I Stoica, J Zhou 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012 | 270 | 2012 |
Aligraph: A comprehensive graph neural network platform R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou arXiv preprint arXiv:1902.08730, 2019 | 261 | 2019 |
Qwen-vl: A frontier large vision-language model with versatile abilities J Bai, S Bai, S Yang, S Wang, S Tan, P Wang, J Lin, C Zhou, J Zhou arXiv preprint arXiv:2308.12966, 2023 | 221 | 2023 |
SCOPE: parallel databases meet MapReduce J Zhou, N Bruno, MC Wu, PA Larson, R Chaiken, D Shakib The VLDB Journal 21, 611-636, 2012 | 194 | 2012 |
MTCache: Transparent mid-tier database caching in SQL server PA Larson, J Goldstein, J Zhou Proceedings. 20th International Conference on Data Engineering, 177-188, 2004 | 174 | 2004 |
Efficient exploitation of similar subexpressions for query processing J Zhou, PA Larson, JC Freytag, W Lehner Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007 | 166 | 2007 |
Understanding negative sampling in graph representation learning Z Yang, M Ding, C Zhou, H Yang, J Zhou, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 164 | 2020 |
Real-time constrained cycle detection in large dynamic graphs X Qiu, W Cen, Z Qian, Y Peng, Y Zhang, X Lin, J Zhou Proceedings of the VLDB Endowment 11 (12), 1876-1888, 2018 | 147 | 2018 |
Lazy maintenance of materialized views J Zhou, PA Larson, HG Elmongui Proceedings of the 33rd international conference on Very large data bases …, 2007 | 144 | 2007 |
Asynchronous database index maintenance PA Carlin, PA Larson, J Zhou US Patent 8,140,495, 2012 | 137 | 2012 |
Contrastive learning for debiased candidate generation in large-scale recommender systems C Zhou, J Ma, J Zhang, J Zhou, H Yang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 128 | 2021 |
M6: A chinese multimodal pretrainer J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ... arXiv preprint arXiv:2103.00823, 2021 | 124 | 2021 |
Incorporating partitioning and parallel plans into the SCOPE optimizer J Zhou, PA Larson, R Chaiken 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010 …, 2010 | 124 | 2010 |
Distributed multi-phase batch job processing T Phan, J Zhou US Patent 8,966,486, 2015 | 122 | 2015 |