| An end-to-end automatic cloud database tuning system using deep reinforcement learning J Zhang, Y Liu, K Zhou, G Li, Z Xiao, B Cheng, J Xing, Y Wang, T Cheng, ... Proceedings of the 2019 International Conference on Management of Data, 415-432, 2019 | 323 | 2019 |
| Deep self-taught hashing for image retrieval Y Liu, J Song, K Zhou, L Yan, L Liu, F Zou, L Shao IEEE transactions on cybernetics 49 (6), 2229-2241, 2018 | 53 | 2018 |
| Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion Y Wang, Y Xie, Y Liu, K Zhou, X Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 38 | 2020 |
| Deep self-taught hashing for image retrieval K Zhou, Y Liu, J Song, L Yan, F Zou, F Shen Proceedings of the 23rd ACM international conference on Multimedia, 1215-1218, 2015 | 34 | 2015 |
| Deep sentiment hashing for text retrieval in social CIoT K Zhou, J Zeng, Y Liu, F Zou Future Generation Computer Systems 86, 362-371, 2018 | 32 | 2018 |
| Label-Attended Hashing for Multi-Label Image Retrieval. Y Xie, Y Liu, Y Wang, L Gao, P Wang, K Zhou IJCAI, 955-962, 2020 | 30 | 2020 |
| CDBTune + : An efficient deep reinforcement learning-based automatic cloud database tuning system J Zhang, K Zhou, G Li, Y Liu, M Xie, B Cheng, J Xing The VLDB Journal 30 (6), 959-987, 2021 | 25 | 2021 |
| Unsupervised deep hashing with node representation for image retrieval Y Wang, J Song, K Zhou, Y Liu Pattern Recognition 112, 107785, 2021 | 24 | 2021 |
| Semantic-aware data quality assessment for image big data Y Liu, Y Wang, K Zhou, Y Yang, Y Liu Future Generation Computer Systems 102, 53-65, 2020 | 23 | 2020 |
| HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements B Cai, Y Liu, C Zhang, G Zhang, K Zhou, L Liu, C Li, B Cheng, J Yang, ... Proceedings of the 2022 International Conference on Management of Data, 646-659, 2022 | 19 | 2022 |
| Multi-view multi-label learning for image annotation F Zou, Y Liu, H Wang, J Song, J Shao, K Zhou, S Zheng Multimedia Tools and Applications 75 (20), 12627-12644, 2016 | 17 | 2016 |
| Label-affinity Self-adaptive Central Similarity Hashing for Image Retrieval Y Xie, R Wei, J Song, Y Liu, Y Wang, K Zhou IEEE Transactions on Multimedia, 2023 | 7 | 2023 |
| A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions X Li, Y Wang, J Song, Y Liu, X Zhang, K Zhou, C Li World Wide Web 23 (1), 549-572, 2020 | 7 | 2020 |
| A Framework for Image Dark Data Assessment Y Liu, Y Wang, K Zhou, Y Yang, Y Liu, J Song, Z Xiao Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2019 | 7 | 2019 |
| A survey on AI for storage Y Liu, H Wang, K Zhou, CH Li, R Wu CCF Transactions on High Performance Computing, 1-32, 2022 | 6 | 2022 |
| Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval Y Liu, Y Wang, J Song, C Guo, K Zhou, Z Xiao 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 5 | 2020 |
| Human emotion recognition with a microcomb-enabled integrated optical neural network J Cheng, Y Xie, Y Liu, J Song, X Liu, Z He, W Zhang, X Han, H Zhou, ... Nanophotonics 12 (20), 3883-3894, 2023 | 4 | 2023 |
| Deep debiased contrastive hashing R Wei, Y Liu, J Song, Y Xie, K Zhou Pattern Recognition 139, 109483, 2023 | 4 | 2023 |
| G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition Y Wang, Y Xie, Y Liu, L Fan Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 3 | 2021 |
| Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data Y Liu, Y Wang, L Gao, C Guo, Y Xie, Z Xiao ACM/IMS Transactions on Data Science 2 (2), 1-26, 2021 | 3 | 2021 |
Jingkuan Song（宋井宽）Columbia University, University of Electronic Science and Technology of ChinaVerified email at columbia.edu
