Binary Neural Networks: A Survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition (PR), 2020 | 522 | 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 | 340 | 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 | 91 | 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 | 85 | 2022 |
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 | 83 | 2021 |
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 | 50 | 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 | 40 | 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 | 40 | 2022 |
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 | 35 | 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 | 30 | 2023 |
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 | 28 | 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 | 26 | 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 | 24 | 2023 |
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 | 15 | 2024 |
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 | 13 | 2023 |
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges H Qin, GP Ji, S Khan, DP Fan, FS Khan, L Van Gool Machine Intelligence Research (MIR), 2023 | 12 | 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 | 11 | 2023 |
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 | 10 | 2020 |
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 | 9 | 2024 |
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 | 9 | 2022 |