| Zeroth-order algorithms for nonconvex–strongly-concave minimax problems with improved complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn Journal of Global Optimization, 1-32, 2022 | 43* | 2022 |
| A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis Z Wang, B Liu, S Chen, S Ma, L Xue, H Zhao INFORMS Journal on Optimization, 2021, 2020 | 16 | 2020 |
| Interpretable and robust ai in eeg systems: A survey X Zhou, C Liu, Z Wang, L Zhai, Z Jia, C Guan, Y Liu arXiv preprint arXiv:2304.10755, 2023 | 15 | 2023 |
| A Survey for Foundation Models in Autonomous Driving H Gao, Z Wang, Y Li, K Long, M Yang, Y Shen arXiv preprint arXiv:2402.01105, 2024 | 9 | 2024 |
| Graph neural networks in EEG-based emotion recognition: a survey C Liu, X Zhou, Y Wu, R Yang, Z Wang, L Zhai, Z Jia, Y Liu arXiv preprint arXiv:2402.01138, 2024 | 6 | 2024 |
| Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease (AECOPD): A multicenter cross-sectional study Z Chen, J Wang, H Wang, Y Yao, H Deng, J Peng, X Li, Z Wang, X Chen, ... Frontiers in Medicine 10, 307, 2023 | 3 | 2023 |
| Clinical Characteristics of Overweight Patients With Acute Exacerbation Chronic Obstructive Pulmonary Disease (AECOPD) Y Gong, F Du, Y Yao, H Wang, X Wang, W Xiong, Q Wang, G He, L Chen, ... The Clinical Respiratory Journal 18 (8), e70001, 2024 | 1 | 2024 |
| Zeroth-Order Algorithms for Stochastic Nonconvex Minimax Problems with Improved Complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn Workshop on “Beyond First-Order Methods in Machine Learning Systems” hosted …, 2021 | 1 | 2021 |
| Nonconvex Stochastic Nested Optimization via Stochastic ADMM Z Wang arXiv preprint arXiv:1911.05167, 2019 | 1 | 2019 |
| A Survey for Large Language Models in Biomedicine C Wang, M Li, J He, Z Wang, E Darzi, Z Chen, J Ye, T Li, Y Su, J Ke, K Qu, ... arXiv preprint arXiv:2409.00133, 2024 | | 2024 |
| Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond M Liu, Z Di, J Wei, Z Wang, H Zhang, R Xiao, H Wang, J Pang, H Chen, ... arXiv preprint arXiv:2408.11338, 2024 | | 2024 |
| New Algorithms for Riemannian Optimization and Minimax Problems with Machine Learning Applications Z Wang University of California, Davis, 2022 | | 2022 |
| Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Z Wang, K Balasubramanian, S Ma, M Razaviyayn 2021 ICML workshop on “Beyond First-Order Methods in Machine Learning Systems”, 2020 | | 2020 |
