| Datasetdm: Synthesizing data with perception annotations using diffusion models W Wu, Y Zhao, H Chen, Y Gu, R Zhao, Y He, H Zhou, MZ Shou, C Shen Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| PTQD: Accurate Post-Training Quantization for Diffusion Models Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang Conference on Neural Information Processing Systems, 2023 | 15 | 2023 |
| BiViT: Extremely Compressed Binary Vision Transformers Y He, Z Lou, L Zhang, J Liu, W Wu, H Zhou, B Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Efficientdm: Efficient quantization-aware fine-tuning of low-bit diffusion models Y He, J Liu, W Wu, H Zhou, B Zhuang International Conference on Learning Representations, 2024 | 4 | 2024 |
| Paragraph-to-image generation with information-enriched diffusion model W Wu, Z Li, Y He, MZ Shou, C Shen, L Cheng, Y Li, T Gao, D Zhang, ... arXiv preprint arXiv:2311.14284, 2023 | 4 | 2023 |
| Root quantization: a self-adaptive supplement STE L Zhang, Y He, Z Lou, X Ye, Y Wang, H Zhou Applied Intelligence 53 (6), 6266-6275, 2023 | 4 | 2023 |
| Binarizing by classification: Is soft function really necessary? Y He, L Zhang, W Wu, H Zhou IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 3 | 2023 |
| Integrated equipment for Parkinson’s disease early detection using graph convolution network Y He, T Yang, C Yang, H Zhou Electronics 11 (7), 1154, 2022 | 3 | 2022 |
| Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization Y He, L Zhang, W Wu, H Zhou Neural Processing Letters 55 (8), 10555-10568, 2023 | 2 | 2023 |
| Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks Z Lou, X Ye, L Zhang, W Wu, Y He, H Zhou Neural Processing Letters 55 (7), 9085-9100, 2023 | 1 | 2023 |
| Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM L Zhang, W Fei, W Wu, Y He, Z Lou, H Zhou arXiv preprint arXiv:2310.04836, 2023 | 1 | 2023 |
| DSText V2: A comprehensive video text spotting dataset for dense and small text W Wu, Y Zhang, Y He, L Zhang, Z Lou, H Zhou, X Bai Pattern Recognition 149, 110177, 2024 | | 2024 |
| DragAnything: Motion Control for Anything using Entity Representation W Wu, Z Li, Y Gu, R Zhao, Y He, DJ Zhang, MZ Shou, Y Li, T Gao, ... arXiv preprint arXiv:2403.07420, 2024 | | 2024 |
| Towards Accurate Post-training Quantization for Reparameterized Models L Zhang, Y He, W Fei, Z Lou, W Wu, YW Ying, H Zhou arXiv preprint arXiv:2402.16121, 2024 | | 2024 |
| Supplementary Material for PTQD: Accurate Post-Training Quantization for Diffusion Models Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang | | |
| Supplementary Material for ‘DatasetDM’ W Wu, Y Zhao, H Chen, Y Gu, R Zhao, Y He, H Zhou, MZ Shou, C Shen | | |
| Dstext V2: A Comprehensive Video Text Spotting Dataset Fordense and Small Text W Wu, Y Zhang, Y He, L Zhang, Z Lou, H Zhou, X Bai Available at SSRN 4522298, 0 | | |
Weijia WuZhejiang University & National University of SingaporeVerified email at zju.edu.cn
