| Deep autoaugmentation Y Zheng, Z Zhang, S Yan, M Zhang Proc. ICLR 1 (3), 6, 2022 | 142* | 2022 |
| Efficient large language models: A survey Z Wan, X Wang, C Liu, S Alam, Y Zheng, J Liu, Z Qu, S Yan, Y Zhu, ... arXiv preprint arXiv:2312.03863, 2023 | 137 | 2023 |
| Does unsupervised architecture representation learning help neural architecture search? S Yan, Y Zheng, W Ao, X Zeng, M Zhang Advances in neural information processing systems 33, 12486-12498, 2020 | 127 | 2020 |
| Classification of Alzheimer’s disease, mild cognitive impairment and normal control subjects using resting-state fMRI based network connectivity analysis Z Wang, Y Zheng, DC Zhu, AC Bozoki, T Li IEEE journal of translational engineering in health and medicine 6, 1-9, 2018 | 47 | 2018 |
| Svd-llm: Truncation-aware singular value decomposition for large language model compression X Wang, Y Zheng, Z Wan, M Zhang arXiv preprint arXiv:2403.07378, 2024 | 26 | 2024 |
| Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition D Chen, X Qi, Y Zheng, Y Lu, Y Huang, Z Li Computers and Electronics in Agriculture 216, 108517, 2024 | 26 | 2024 |
| Hm-nas: Efficient neural architecture search via hierarchical masking S Yan, B Fang, F Zhang, Y Zheng, X Zeng, M Zhang, H Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| Deep data augmentation for weed recognition enhancement: A diffusion probabilistic model and transfer learning based approach D Chen, X Qi, Y Zheng, Y Lu, Y Huang, Z Li 2023 ASABE Annual International Meeting, 1, 2023 | 20 | 2023 |
| Brain information processing capacity modeling T Li, Y Zheng, Z Wang, DC Zhu, J Ren, T Liu, K Friston Scientific reports 12 (1), 2174, 2022 | 17 | 2022 |
| Dynamic Functional Connectivity Fading Analysis and Classification of Alzheimer’ s Disease, Mild Cognitive Impairment and Normal Control Subjects based on Resting-State fMRI … Y Liang, Y Zheng, B Renli, DC Zhu, F Yu, T Li OBM Neurobiology 4 (2), 2020 | 3 | 2020 |
| End-to-end delay in multi-hop wireless networks with random relay deployment Y Liang, Y Zheng, J Ren, T Li 2018 International Conference on Computing, Networking and Communications …, 2018 | 2 | 2018 |
| A Mathematical Model for Neuronal Activity and Brain Information Processing Capacity Y Zheng, D Zhu, J Ren, T Liu, K Friston, T Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Publisher Correction: Brain information processing capacity modelling T Li, Y Zheng, Z Wang, DC Zhu, J Ren, T Liu, K Friston Scientific Reports 12, 3524, 2022 | | 2022 |
| Deep AutoAugment Y Zheng, Z Zhang, S Yan, Z Mi International Conference on Learning Representations, 2022 | | 2022 |
| Decoding Behavioral Accuracy in an Attention Task Using Brain fMRI Data Z Wang, Y Zheng, M Jigo, T Liu, J Ren, Z Tian, T Li 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | | 2018 |
| Discrete Dynamic Causal Modeling and Its Relationship with Directed Information Z Wang, Y Zheng, DC Zhu, J Ren, T Li arXiv preprint arXiv:1709.06134, 2017 | | 2017 |
| Supplementary Material: Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? S Yan, Y Zheng, W Ao, X Zeng, M Zhang | | |