| 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, 54683-54695, 2023 | 90 | 2023 |
| 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 | 73 | 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 | 35 | 2024 |
| 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 | 31 | 2023 |
| 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, ... European Conference on Computer Vision, 331-348, 2025 | 30 | 2025 |
| MiniCache: KV Cache Compression in Depth Dimension for Large Language Models A Liu, J Liu, Z Pan, Y He, G Haffari, B Zhuang arXiv preprint arXiv:2405.14366, 2024 | 24 | 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 | 17 | 2023 |
| ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Y He, L Zhang, W Wu, J Liu, H Zhou, B Zhuang Conference on Neural Information Processing Systems, 2024 | 11 | 2024 |
| 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 | 8 | 2023 |
| Zipvl: Efficient large vision-language models with dynamic token sparsification and kv cache compression Y He, F Chen, J Liu, W Shao, H Zhou, K Zhang, B Zhuang arXiv preprint arXiv:2410.08584, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| 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 | 5 | 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 | 5 | 2022 |
| 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 34 (2), 973-982, 2023 | 4 | 2023 |
| Zipar: Accelerating autoregressive image generation through spatial locality Y He, F Chen, Y He, S He, H Zhou, K Zhang, B Zhuang arXiv preprint arXiv:2412.04062, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| 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 |
| ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models J Liu, R Gong, M Zhang, Y He, J Cai, B Zhuang arXiv preprint arXiv:2406.09041, 2024 | 1 | 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 | | |
Weijia WuNational University of Singapore; Zhejiang UniversityVerified email at nus.edu.sg
