Binary Neural Networks: A Survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe
Pattern Recognition (PR), 2020
591 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
399 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
123 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
116 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
104 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
70 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
68 2024 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
61 2021 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
59 2022 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
50 2023 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
48 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, ...
Visual Intelligence (VI), 2024
47 * 2024 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
45 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
40 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
38 2022 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
30 2023 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
29 2021 Towards Defending Multiple A Liu, S Tang, X Liu, X Chen, L Huang, H Qin, D Song, D Tao
International Journal of Computer Vision (IJCV), 2023
27 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
25 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
20 2023 
Xianglong Liu (刘祥龙）Beihang UniversityEmail verificata su buaa.edu.cn