| Extracting Top-K Insights from Multi-dimensional Data B Tang, S Han, ML Yiu, R Ding, D Zhang Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 125 | 2017 |
| Face2exp: Combating data biases for facial expression recognition D Zeng, Z Lin, X Yan, Y Liu, F Wang, B Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Exact processing of uncertain top-k queries in multi-criteria settings K Mouratidis, B Tang Proceedings of the VLDB Endowment 11 (8), 866-879, 2018 | 57 | 2018 |
| Marrying top-k with skyline queries: Relaxing the preference input while producing output of controllable size K Mouratidis, K Li, B Tang Proceedings of the 2021 International Conference on Management of Data, 1317 …, 2021 | 40 | 2021 |
| Insufficient data can also rock! learning to converse using smaller data with augmentation J Li, L Qiu, B Tang, D Chen, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6698-6705, 2019 | 38 | 2019 |
| Draft and edit: Automatic storytelling through multi-pass hierarchical conditional variational autoencoder MH Yu, J Li, D Liu, D Zhao, R Yan, B Tang, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1741-1748, 2020 | 29 | 2020 |
| Determining the Impact Regions of Competing Options in Preference Space. B Tang, K Mouratidis, ML Yiu Proceedings of the 2017 ACM SIGMOD International Conference on Management of …, 2017 | 27 | 2017 |
| Drug Repurposing for the Treatment of COVID‐19: A Knowledge Graph Approach VKC Yan, X Li, X Ye, M Ou, R Luo, Q Zhang, B Tang, BJ Cowling, I Hung, ... Advanced therapeutics 4 (7), 2100055, 2021 | 22 | 2021 |
| Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance B Tang, ML Yiu, K Mouratidis, K Wang Proceedings of the 20th International Conference on Extending Database …, 2017 | 21 | 2017 |
| Manu: a cloud native vector database management system R Guo, X Luan, L Xiang, X Yan, X Yi, J Luo, Q Cheng, W Xu, J Luo, F Liu, ... arXiv preprint arXiv:2206.13843, 2022 | 20 | 2022 |
| Efficient Visibility Analysis for Massive Observers W Wang, B Tang, X Fan, H Mao, H Yang, M Zhu The 8th International Conference on Advances in Information Technology 111 …, 2017 | 20 | 2017 |
| A five-layer architecture for big data processing and analytics JY Zhu, B Tang, VOK Li International Journal of Big Data Intelligence 6 (1), 38-49, 2019 | 18 | 2019 |
| Spatial data quality in the Internet of Things: Management, exploitation, and prospects H Li, H Lu, CS Jensen, B Tang, MA Cheema ACM Computing Surveys (CSUR) 55 (3), 1-41, 2022 | 12 | 2022 |
| 视频镜头边缘检测算法研究与比较 牛颢， 丁春利， 张明， 唐博 计算机应用研究 30 (2), 631-634, 2013 | 11 | 2013 |
| Automatic meta-path discovery for effective graph-based recommendation W Ning, R Cheng, J Shen, NAH Haldar, B Kao, X Yan, N Huo, WK Lam, ... Proceedings of the 31st ACM international conference on information …, 2022 | 9 | 2022 |
| RCELF: a residual-based approach for influence maximization problem S Zhang, X Zeng, B Tang Information Systems 102, 101828, 2021 | 8 | 2021 |
| On m-impact regions and standing top-k influence problems B Tang, K Mouratidis, M Han Proceedings of the 2021 International Conference on Management of Data, 1784 …, 2021 | 8 | 2021 |
| Accelerating exact inner product retrieval by cpu-gpu systems L Xiang, B Tang, C Yang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 8 | 2019 |
| Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search (Extended Abstract) B Tang, ML Yiu, KA Hua Data Engineering (ICDE), 2017 IEEE 33st International Conference on, 45-46, 2017 | 8* | 2017 |
| Exploit every bit: Effective caching for high-dimensional nearest neighbor search B Tang, ML Yiu, KA Hua IEEE Transactions on Knowledge and Data Engineering 28 (5), 1175-1188, 2016 | 8 | 2016 |
