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Yifu Ding
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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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
832021
Bibert: Accurate fully binarized bert
H Qin, Y Ding, M Zhang, Q Yan, A Liu, Q Dang, Z Liu, X Liu
arXiv preprint arXiv:2203.06390, 2022
692022
Bipointnet: Binary neural network for point clouds
H Qin, Z Cai, M Zhang, Y Ding, H Zhao, S Yi, X Liu, H Su
arXiv preprint arXiv:2010.05501, 2020
472020
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 131 (1), 26-47, 2023
272023
Towards Accurate Post-Training Quantization for Vision Transformer
Y Ding, H Qin, Q Yan, Z Chai, J Liu, X Wei, X Liu
Proceedings of the 30th ACM International Conference on Multimedia, 5380-5388, 2022
252022
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
232021
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network
R Tao, H Li, T Wang, Y Wei, Y Ding, B Jin, H Zhi, X Liu, A Liu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
172022
BiBench: Benchmarking and Analyzing Network Binarization
H Qin, M Zhang, Y Ding, A Li, Z Cai, Z Liu, F Yu, X Liu
arXiv preprint arXiv:2301.11233, 2023
142023
Spatio-Temporal Adaptive Network with Bidirectional Temporal Difference for Action Recognition
Z Li, J Li, Y Ma, R Wang, Z Shi, Y Ding, X Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2023
92023
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
arXiv preprint arXiv:2202.06483, 2022
92022
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, 2023
82023
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, 2023
72023
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization
Z Yin, J Wang, Y Ding, Y Xiao, J Guo, R Tao, H Qin
2021 ACM Multimedia (ACM MM) AdvM Workshop, 2021
72021
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
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
72021
Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization
H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu
arXiv preprint arXiv:2109.00212, 2021
52021
An Empirical Study of Data-Free Quantization's Tuning Robustness
H Chen, Y Wen, Y Ding, Z Yang, Y Guo, H Qin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
H Chen, C Lv, L Ding, H Qin, X Zhou, Y Ding, X Liu, M Zhang, J Guo, X Liu, ...
arXiv preprint arXiv:2402.11960, 2024
2024
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
H Qin, Y Zhang, Y Ding, X Liu, M Danelljan, F Yu
Advances in Neural Information Processing Systems 36, 2024
2024
OHQ: On-chip Hardware-aware Quantization
W Huang, H Qin, Y Liu, J Liang, Y Ding, Y Li, X Liu
arXiv preprint arXiv:2309.01945, 2023
2023
Diverse sample generation: Pushing the limit of data-free quantization
H Qin, Y Ding, X Zhang, A Li, J Wang, X Liu, J Lu
arXiv e-prints, arXiv: 2109.00212, 2021
2021
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