| 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 | 91 | 2021 |
| 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 | 85 | 2022 |
| 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 | 50 | 2020 |
| 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 | 40 | 2023 |
| 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 | 40 | 2022 |
| 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 | 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 | 26 | 2021 |
| 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 | 23 | 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, 2023 | 17 | 2023 |
| 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 | 13 | 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, 2023 | 11 | 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 arXiv preprint arXiv:2202.06483, 2022 | 9 | 2022 |
| 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 | 8 | 2024 |
| 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 | 8 | 2021 |
| 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 | 7 | 2021 |
| 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 | 7 | 2021 |
| Compressing large language models by joint sparsification and quantization J Guo, J Wu, Z Wang, J Liu, G Yang, Y Ding, R Gong, H Qin, X Liu Forty-first International Conference on Machine Learning, 2024 | 3 | 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 | 2 | 2024 |
| PTQ4SAM: Post-Training Quantization for Segment Anything C Lv, H Chen, J Guo, Y Ding, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 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 | 1 | 2023 |
Haotong QinETH ZürichVerified email at ethz.ch
Haotong QinETH ZürichVerified email at ethz.ch