| Dsa: More efficient budgeted pruning via differentiable sparsity allocation X Ning, T Zhao, W Li, P Lei, Y Wang, H Yang European Conference on Computer Vision, 592-607, 2020 | 130 | 2020 |
| A generic graph-based neural architecture encoding scheme for predictor-based nas X Ning, Y Zheng, T Zhao, Y Wang, H Yang European Conference on Computer Vision, 189-204, 2020 | 106 | 2020 |
| Exploring the potential of low-bit training of convolutional neural networks K Zhong, X Ning, G Dai, Z Zhu, T Zhao, S Zeng, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 25* | 2022 |
| Discovering robust convolutional architecture at targeted capacity: A multi-shot approach X Ning, J Zhao, W Li, T Zhao, Y Zheng, H Yang, Y Wang arXiv preprint arXiv:2012.11835, 2020 | 15* | 2020 |
| A surgery of the neural architecture evaluators X Ning14, W Li, Z Zhou, T Zhao24, Y Zheng, S Liang14, H Yang, Y Wang arXiv preprint arXiv:2008.03064, 2020 | 12 | 2020 |
| Ada3d: Exploiting the spatial redundancy with adaptive inference for efficient 3d object detection T Zhao, X Ning, K Hong, Z Qiu, P Lu, Y Zhao, L Zhang, L Zhou, G Dai, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Codedvtr: Codebook-based sparse voxel transformer with geometric guidance T Zhao, N Zhang, X Ning, H Wang, L Yi, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| TA-GATES: An encoding scheme for neural network architectures X Ning, Z Zhou, J Zhao, T Zhao, Y Deng, C Tang, S Liang, H Yang, ... Advances in Neural Information Processing Systems 35, 32325-32339, 2022 | 8 | 2022 |
| Bars: Joint search of cell topology and layout for accurate and efficient binary architectures T Zhao, X Ning, X Shi, S Yang, S Liang, P Lei, J Chen, H Yang, Y Wang arXiv preprint arXiv:2011.10804, 2020 | 8 | 2020 |
| Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization T Zhao, X Ning, T Fang, E Liu, G Huang, Z Lin, S Yan, G Dai, Y Wang European Conference on Computer Vision, 285-302, 2025 | 6 | 2025 |
| Ditfastattn: Attention compression for diffusion transformer models Z Yuan, H Zhang, P Lu, X Ning, L Zhang, T Zhao, S Yan, G Dai, Y Wang arXiv preprint arXiv:2406.08552, 2024 | 6 | 2024 |
| Vidit-q: Efficient and accurate quantization of diffusion transformers for image and video generation T Zhao, T Fang, E Liu, R Wan, W Soedarmadji, S Li, Z Lin, G Dai, S Yan, ... arXiv preprint arXiv:2406.02540, 2024 | 6 | 2024 |
| FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models L Zhao, T Zhao, Z Lin, X Ning, G Dai, H Yang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Memory-oriented structural pruning for efficient image restoration X Shi, X Ning, L Guo, T Zhao, E Liu, Y Cai, Y Dong, H Yang, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2245-2253, 2023 | 4 | 2023 |
| A generic graph-based neural architecture encoding scheme with multifaceted information X Ning, Y Zheng, Z Zhou, T Zhao, H Yang, Y Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 7955-7969, 2022 | 4 | 2022 |
| aw_nas: A modularized and extensible nas framework X Ning, C Tang, W Li, S Yang, T Zhao, N Zhang, T Lu, S Liang, H Yang, ... arXiv preprint arXiv:2012.10388, 2020 | 4 | 2020 |
| Dynamic ensemble of low-fidelity experts: Mitigating nas “cold-start” J Zhao, X Ning, E Liu, B Ru, Z Zhou, T Zhao, C Chen, J Zhang, Q Liao, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11316 …, 2023 | 3 | 2023 |
| TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning S Li, X Ning, S Zhang, L Guo, T Zhao, H Yang, Y Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| DyPIM: Dynamic-Inference-Enabled Processing-In-Memory Accelerator T Xie, T Zhao, Z Zhu, X Ning, B Li, G Dai, H Yang, Y Wang 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 1 | 2024 |
| LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization R Xie, T Zhao, Z Yuan, R Wan, W Gao, Z Zhu, X Ning, Y Wang arXiv preprint arXiv:2411.17178, 2024 | | 2024 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
