| Artificial intelligence: A powerful paradigm for scientific research Y Xu, X Liu, X Cao, C Huang, E Liu, S Qian, X Liu, Y Wu, F Dong, CW Qiu, ... The Innovation 2 (4), 2021 | 811 | 2021 |
| Attention convolutional binary neural tree for fine-grained visual categorization R Ji, L Wen, L Zhang, D Du, Y Wu, C Zhao, X Liu, F Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 236 | 2020 |
| A recommendation model based on deep neural network L Zhang, T Luo, F Zhang, Y Wu IEEE Access 6, 9454-9463, 2018 | 179 | 2018 |
| VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities. X Duan, J Wu, S Ji, Z Rui, T Luo, M Yang, Y Wu IJCAI, 4665-4671, 2019 | 129 | 2019 |
| Spatial attention pyramid network for unsupervised domain adaptation C Li, D Du, L Zhang, L Wen, T Luo, Y Wu, P Zhu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 121 | 2020 |
| Deep reinforcement learning for extractive document summarization K Yao, L Zhang, T Luo, Y Wu Neurocomputing 284, 52-62, 2018 | 96 | 2018 |
| Dual encoding for abstractive text summarization K Yao, L Zhang, D Du, T Luo, L Tao, Y Wu IEEE transactions on cybernetics 50 (3), 985-996, 2018 | 93 | 2018 |
| Towards real-world prohibited item detection: A large-scale x-ray benchmark B Wang, L Zhang, L Wen, X Liu, Y Wu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 91 | 2021 |
| Multi-granularity alignment domain adaptation for object detection W Zhou, D Du, L Zhang, T Luo, Y Wu proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 79 | 2022 |
| Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art X Ling, L Wu, J Zhang, Z Qu, W Deng, X Chen, Y Qian, C Wu, S Ji, T Luo, ... Computers & Security 128, 103134, 2023 | 76 | 2023 |
| Hunting vulnerable smart contracts via graph embedding based bytecode matching J Huang, S Han, W You, W Shi, B Liang, J Wu, Y Wu IEEE Transactions on Information Forensics and Security 16, 2144-2156, 2021 | 72 | 2021 |
| Learning semantic neural tree for human parsing R Ji, D Du, L Zhang, L Wen, Y Wu, C Zhao, F Huang, S Lyu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 61 | 2020 |
| Teaching Machines to Ask Questions. K Yao, L Zhang, T Luo, L Tao, Y Wu IJCAI, 4546-4552, 2018 | 55 | 2018 |
| C2Detector: a covert channel detection framework in cloud computing J Wu, L Ding, Y Wu, N Min‐Allah, SU Khan, Y Wang Security and Communication Networks 7 (3), 544-557, 2014 | 53 | 2014 |
| Directed Flow of Identified Particles in Collisions at at RHIC L Adamczyk, G Agakishiev, MM Aggarwal, Z Ahammed, ... Physical review letters 108 (20), 202301, 2012 | 49 | 2012 |
| Dijet imbalance measurements in and collisions at at STAR L Adamczyk, JK Adkins, G Agakishiev, MM Aggarwal, Z Ahammed, ... Physical review letters 119 (6), 062301, 2017 | 46 | 2017 |
| MrHeter: improving MapReduce performance in heterogeneous environments X Zhang, Y Wu, C Zhao Cluster Computing 19, 1691-1701, 2016 | 42 | 2016 |
| Guided attention network for object detection and counting on drones C YuanQiang, D Du, L Zhang, L Wen, W Wang, Y Wu, S Lyu Proceedings of the 28th ACM international conference on multimedia, 709-717, 2020 | 40 | 2020 |
| SiamCAN: Real-time visual tracking based on Siamese center-aware network W Zhou, L Wen, L Zhang, D Du, T Luo, Y Wu IEEE Transactions on Image Processing 30, 3597-3609, 2021 | 39 | 2021 |
| Data priming network for automatic check-out C Li, D Du, L Zhang, T Luo, Y Wu, Q Tian, L Wen, S Lyu Proceedings of the 27th ACM international conference on multimedia, 2152-2160, 2019 | 38 | 2019 |
Bei GuanQatar Computing Research Institute (QCRI), HBKUVerified email at qf.org.qa
