| Automix: Unveiling the power of mixup for stronger classifiers Z Liu, S Li, D Wu, Z Liu, Z Chen, L Wu, SZ Li European Conference on Computer Vision, 441-458, 2022 | 99 | 2022 |
| Moganet: Multi-order gated aggregation network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li The Twelfth International Conference on Learning Representations, 2023 | 91* | 2023 |
| Architecture-Agnostic Masked Image Modeling--From ViT back to CNN S Li*, D Wu*, F Wu, Z Zang, K Wang, L Shang, B Sun, H Li, S Li ICML 2023 - International Conference on Machine Learning, 20149–20167, 2022 | 42 | 2022 |
| Openmixup: A comprehensive mixup benchmark for visual classification S Li, Z Wang, Z Liu, D Wu, C Tan, W Jin, SZ Li | 37* | 2022 |
| Dlme: Deep local-flatness manifold embedding Z Zang, S Li, D Wu, G Wang, K Wang, L Shang, B Sun, H Li, SZ Li European Conference on Computer Vision, 576-592, 2022 | 32 | 2022 |
| Transfer learning on electromyography (EMG) tasks: approaches and beyond D Wu, J Yang, M Sawan IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 23 | 2023 |
| Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation D Wu, J Yang, M Sawan Journal of Neural Engineering 19 (3), 036035, 2022 | 23 | 2022 |
| Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma PV Staziaki, D Wu, JC Rayan, IDO Santo, F Nan, A Maybury, ... European Radiology 31, 5434-5441, 2021 | 23 | 2021 |
| Boosting discriminative visual representation learning with scenario-agnostic mixup S Li, Z Liu, Z Wang, D Wu, Z Liu, SZ Li arXiv preprint arXiv:2111.15454, 2021 | 22 | 2021 |
| C2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction D Wu, Y Shi, Z Wang, J Yang, M Sawan IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 841-850, 2023 | 20 | 2023 |
| Exploring Localization for Self-supervised Fine-grained Contrastive Learning D Wu, S Li, Z Zang, SZ Li BMVC 2022 - British Machine Vision Conference, 2022 | 20* | 2022 |
| Deep manifold embedding of attributed graphs Z Zang, S Li, D Wu, J Guo, Y Xu, SZ Li Neurocomputing 514, 83-93, 2022 | 15* | 2022 |
| Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining D Wu, S Li, J Yang, M Sawan IEEE Journal of Biomedical and Health Informatics, 2024 | 13* | 2024 |
| Masked modeling for self-supervised representation learning on vision and beyond S Li, L Zhang, Z Wang, D Wu, L Wu, Z Liu, J Xia, C Tan, Y Liu, B Sun, ... arXiv preprint arXiv:2401.00897, 2023 | 11 | 2023 |
| Genurl: A general framework for unsupervised representation learning S Li, Z Liu, Z Zang, D Wu, Z Chen, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 10 | 2024 |
| Software-hardware co-design for energy-efficient continuous health monitoring via task-aware compression D Wu, S Zhao, J Yang, M Sawan IEEE Transactions on Biomedical Circuits and Systems 17 (2), 180-191, 2023 | 7 | 2023 |
| VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling S Li, Z Wang, Z Liu, D Wu, C Tan, J Zheng, Y Huang, SZ Li arXiv preprint arXiv:2405.10812, 2024 | 5 | 2024 |
| A high-performance brain-sentence communication designed for logosyllabic language C Feng, L Cao, D Wu, E Zhang, T Wang, X Jiang, H Ding, C Zhou, J Chen, ... bioRxiv, 2023.11. 05.562313, 2023 | 5* | 2023 |
| A resource-efficient and data-restricted training method towards neurological symptoms prediction S Zhao, D Wu, J Yang, M Sawan 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 615-619, 2022 | 3 | 2022 |
| Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings D Wu, S Li, C Feng, L Cao, Y Zhang, J Yang, M Sawan arXiv preprint arXiv:2410.12866, 2024 | | 2024 |
Stan Z. Li (李子青)Westlake University & CAS Institute of Automationwestlake.edu.cn의 이메일 확인됨