| 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 | 640 | 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 | 217 | 2020 |
| Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module Y Wei, R Tao, Z Wu, Y Ma, L Zhang, X Liu Proceedings of the 28th ACM International Conference on Multimedia, 2020 | 176 | 2020 |
| A recommendation model based on deep neural network L Zhang, T Luo, F Zhang, Y Wu IEEE Access 6, 9454-9463, 2018 | 176 | 2018 |
| Liver fibrosis classification based on transfer learning and FCNet for ultrasound images D Meng, L Zhang, G Cao, W Cao, G Zhang, B Hu Ieee Access 5, 5804-5810, 2017 | 155 | 2017 |
| Spatial Attention Pyramid Network for Unsupervised Domain Adaptation C Li, D Du, L Zhang, L Wen, T Luo, Y Wu, P Zhu Proceedings of the European Conference on Computer Vision (ECCV 2020), 2020 | 116 | 2020 |
| Deep reinforcement learning for extractive document summarization K Yao, L Zhang, T Luo, Y Wu Neurocomputing 284, 52-62, 2018 | 90 | 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 | 89 | 2018 |
| Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection R Tao, Y Wei, X Jiang, H Li, H Qin, J Wang, Y Ma, L Zhang, X Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 83 | 2021 |
| 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 | 78 | 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 | 70 | 2022 |
| 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 | 65* | 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 | 58* | 2021 |
| Learning Semantic Neural Tree for Human Parsing R Ji, D Du, L Zhang, L Wen, Y Wu, C Zhao, F Huang, S Lyu Proceedings of the European Conference on Computer Vision (ECCV 2020), 2019 | 54 | 2019 |
| Teaching Machines to Ask Questions K Yao, L Zhang, T Luo, L Tao, Y Wu The 27th International Joint Conference on Artificial Intelligence (IJCAI …, 2018 | 53 | 2018 |
| 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 | 36 | 2019 |
| Text with Knowledge Graph Augmented Transformer for Video Captioning X Gu, G Chen, Y Wang, L Zhang, T Luo, L Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Unified saliency detection model using color and texture features L Zhang, L Yang, T Luo PloS one 11 (2), e0149328, 2016 | 32 | 2016 |
| Predicting Protein Interactions Using a Deep Learning Method‐Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine Y Wang, Z You, L Li, L Cheng, X Zhou, L Zhang, X Li, T Jiang Complexity 2018 (1), 4216813, 2018 | 23 | 2018 |
| Visdrone-mot2020: The vision meets drone multiple object tracking challenge results H Fan, D Du, L Wen, P Zhu, Q Hu, H Ling, M Shah, J Pan, A Schumann, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 22 | 2020 |
Dawei DuResearch Scientist at ByteDance, Inc.在 bytedance.com 的电子邮件经过验证
