| UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring S Lyu, M Chang, D Du, L Wen, H Qi, Y Li, Y Wei, L Ke, T Hu, MD Coco, ... 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 155 | 2017 |
| Evolving boxes for fast vehicle detection L Wang, Y Lu, H Wang, Y Zheng, H Ye, X Xue 2017 IEEE international conference on multimedia and Expo (ICME), 1135-1140, 2017 | 144 | 2017 |
| Optasia: A relational platform for efficient large-scale video analytics Y Lu, A Chowdhery, S Kandula Proceedings of the Seventh ACM Symposium on Cloud Computing, 57-70, 2016 | 132* | 2016 |
| Accelerating machine learning inference with probabilistic predicates Y Lu, A Chowdhery, S Kandula, S Chaudhuri Proceedings of the 2018 International Conference on Management of Data, 1493 …, 2018 | 129 | 2018 |
| Correlative multi-label multi-instance image annotation X Xue, W Zhang, J Zhang, B Wu, J Fan, Y Lu 2011 International Conference on Computer Vision, 651-658, 2011 | 104 | 2011 |
| Salient object detection using concavity context Y Lu, W Zhang, H Lu, X Xue 2011 International Conference on Computer Vision, 233-240, 2011 | 98 | 2011 |
| Learning attention map from images Y Lu, W Zhang, C Jin, X Xue 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1067-1074, 2012 | 40 | 2012 |
| Precise temporal action localization by evolving temporal proposals H Qiu, Y Zheng, H Ye, Y Lu, F Wang, L He Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 37 | 2018 |
| Pre-training summarization models of structured datasets for cardinality estimation Y Lu, S Kandula, AC König, S Chaudhuri Proceedings of the VLDB Endowment 15 (3), 414-426, 2021 | 36 | 2021 |
| Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts B Li, Y Lu, S Kandula ACM International Conference on Management of Data (SIGMOD), 2022 | 29 | 2022 |
| Coherent parametric contours for interactive video object segmentation Y Lu, X Bai, L Shapiro, J Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 28 | 2016 |
| Optimizing Machine Learning Inference Queries with Correlative Proxy Models Z Yang, Z Wang, Y Huang, Y Lu, C Li, XS Wang International Conference on Very Large Data Bases (VLDB), 2022 | 27 | 2022 |
| Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures Y Wu, M Lentz, D Zhuo, Y Lu International Conference on Very Large Data Bases (VLDB), 2023 | 21 | 2023 |
| Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning P Chunduri, J Bang, Y Lu, J Arulraj ACM International Conference on Management of Data (SIGMOD), 2022 | 20 | 2022 |
| Crowd counting with density adaption networks L Wang, W Shao, Y Lu, H Ye, J Pu, Y Zheng arXiv preprint arXiv:1806.10040, 2018 | 14 | 2018 |
| Semantic context learning with large-scale weakly-labeled image set Y Lu, W Zhang, K Zhang, X Xue Proceedings of the 21st ACM international conference on Information and …, 2012 | 14 | 2012 |
| Approximate partition selection for big-data workloads using summary statistics K Rong, Y Lu, P Bailis, S Kandula, P Levis arXiv preprint arXiv:2008.10569, 2020 | 13 | 2020 |
| Closing the loop for edge detection and object proposals Y Lu, L Shapiro Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 12 | 2017 |
| Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native Y Lu, S Bian, L Chen, Y He, Y Hui, M Lentz, B Li, F Liu, J Li, Q Liu, R Liu, ... arXiv preprint arXiv:2401.12230, 2024 | 9 | 2024 |
| Automatic image annotation with weakly labeled dataset W Zhang, Y Lu, X Xue, J Fan Proceedings of the 19th ACM international conference on Multimedia, 1185-1188, 2011 | 9 | 2011 |
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