| Binary Neural Networks: A Survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition (PR), 2020 | 566 | 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 | 381 | 2020 |
| 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 | 113 | 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 | 108 | 2022 |
| 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 | 101 | 2021 |
| 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), 2023 | 61 | 2023 |
| 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 | 60 | 2021 |
| BiLLM: Pushing the Limit of Post-Training Quantization for LLMs W Huang, Y Liu, H Qin, Y Li, S Zhang, X Liu, M Magno, X Qi International Conference on Machine Learning (ICML), 2024 | 55 | 2024 |
| 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 | 53 | 2022 |
| 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 | 44 | 2023 |
| 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 | 41 | 2023 |
| An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs W Huang, X Zheng, X Ma, H Qin, C Lv, H Chen, J Luo, X Qi, X Liu, ... arXiv preprint arXiv:2404.14047, 2024 | 38* | 2024 |
| Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method W Huang, H Wang, H Qin, Y Wei, J Chevallier Energy Economics 110, 106049, 2022 | 36 | 2022 |
| 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 | 36 | 2022 |
| Accurate LoRA-Finetuning Quantization of LLMs via Information Retention H Qin, X Ma, X Zheng, X Li, Y Zhang, S Liu, J Luo, X Liu, M Magno International Conference on Machine Learning (ICML), Oral, 2024 | 34 | 2024 |
| 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 | 28 | 2021 |
| Towards Defending Multiple -Norm Bounded Adversarial Perturbations via Gated Batch Normalization A Liu, S Tang, X Liu, X Chen, L Huang, H Qin, D Song, D Tao International Journal of Computer Vision (IJCV), 2023 | 25 | 2023 |
| QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution H Qin, Y Zhang, Y Ding, X Liu, M Danelljan, F Yu Conference on Neural Information Processing Systems (NeurIPS), Spotlight, 2023 | 23 | 2023 |
| Transferable Multimodal Attack on Vision-Language Pre-training Models H Wang, K Dong, Z Zhu, H Qin, A Liu, X Fang, J Wang, X Liu IEEE Symposium on Security and Privacy (S&P), 102-102, 2024 | 21 | 2024 |
| 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 | 18 | 2023 |
Xianglong Liu (刘祥龙）Beihang University在 buaa.edu.cn 的电子邮件经过验证
