| Binary neural networks: A survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition (PR), 2020 | 344 | 2020 |
| Forward and Backward Information Retention for Accurate Binary Neural Networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Computer Vision and Pattern Recognition (CVPR), 2020 | 228 | 2020 |
| Diversifying Sample Generation for Accurate Data-Free Quantization X Zhang*, H Qin*, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Computer Vision and Pattern Recognition (CVPR), Oral, 2021 | 55 | 2021 |
| BiBERT: Accurate Fully Binarized BERT H Qin, Y Ding, M Zhang, Q Yan, A Liu, Q Dang, Z Liu, X Liu International Conference on Learning Representations (ICLR), 2022 | 32 | 2022 |
| BiPointNet: Binary Neural Network for Point Clouds H Qin, Z Cai, M Zhang, Y Ding, H Zhao, S Yi, X Liu, H Su International Conference on Learning Representations (ICLR), 2021 | 32 | 2021 |
| 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 International Conference on Computer Vision (ICCV), 2021 | 30 | 2021 |
| Defensive Patches for Robust Recognition in the Physical World J Wang, Z Yin, P Hu, R Tao, H Qin, A Liu, X Liu, D Tao Computer Vision and Pattern Recognition (CVPR), 2022 | 11 | 2022 |
| Distribution-sensitive Information Retention for Accurate Binary Neural Network H Qin, X Zhang, R Gong, Y Ding, Y Xu, X Liu International Journal of Computer Vision (IJCV), 2022 | 10 | 2022 |
| Over-sampling de-occlusion attention network for prohibited items detection in noisy x-ray images R Tao, Y Wei, H Li, A Liu, Y Ding, H Qin, X Liu arXiv preprint arXiv:2103.00809, 2021 | 9 | 2021 |
| Sequential alignment attention model for scene text recognition Y Wu, J Fan, R Tao, J Wang, H Qin, A Liu, X Liu Journal of Visual Communication and Image Representation 80, 103289, 2021 | 8 | 2021 |
| Boosting temporal binary coding for large-scale video search Y Wu, X Liu, H Qin, K Xia, S Hu, Y Ma, M Wang IEEE Transactions on Multimedia (TMM), 2020 | 8 | 2020 |
| Multi-Pretext Attention Network for Few-shot Learning with Self-supervision H Li, R Tao, J Li, H Qin, Y Ding, S Wang, X Liu IEEE International Conference on Multimedia and Expo (ICME), 2021 | 6 | 2021 |
| Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 5* | 2023 |
| BiFSMN: Binary Neural Network for Keyword Spotting H Qin, X Ma, Y Ding, X Li, Y Zhang, Y Tian, Z Ma, J Luo, X Liu International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 4 | 2022 |
| Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization Z Yin, J Wang, Y Ding, Y Xiao, J Guo, R Tao, H Qin ACM International Conference on Multimedia (MM) Workshop, 2021 | 4 | 2021 |
| BiBench: Benchmarking and Analyzing Network Binarization H Qin, M Zhang, Y Ding, A Li, Z Cai, Z Liu, F Yu, X Liu International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance H Qin, X Ma, Y Ding, X Li, Y Zhang, Z Ma, J Wang, J Luo, X Liu IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | 3 | 2023 |
| Towards Accurate Post-Training Quantization for Vision Transformer Y Ding, H Qin, Q Yan, Z Chai, J Liu, X Wei, X Liu ACM International Conference on Multimedia (MM), 2022 | 3 | 2022 |
| Benchmarking the Robustness of Quantized Models Y Xiao, T Zhang, S Liu, H Qin arXiv preprint arXiv:2304.03968, 2023 | | 2023 |
| An Empirical study of Data-Free Quantization’s Tuning Robustness H Chen, Y Wen, Y Ding, Z Yang, Y Guo, H Qin Computer Vision and Pattern Recognition (CVPR) Workshop, 2022 | | 2022 |
Xianglong Liu (刘祥龙）Beihang University在 buaa.edu.cn 的电子邮件经过验证
