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11 de feb. de 2022 · CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu. Modern deep neural networks can easily overfit to biased training data containing corrupted labels or class imbalance. Sample re-weighting methods are popularly used to alleviate this data bias issue.
Jun SHU | Cited by 84 | of Wuhan University of Technology, Wuhan (WHUT) | Read 3 publications | Contact Jun SHU
Contributors: Jun Shu; Xiang Yuan; Deyu Meng; Zongben Xu Show more detail. Source: check_circle. Crossref Meta-BN Net for few-shot learning. Frontiers of Computer Science 2023-02 | Journal article DOI: 10.1007/s11704-021-1237-4 Part of ISSN: 2095-2228 Part of ISSN: 2095-2236 Contributors ...
Jun Shu (Member, IEEE) was born in 1994. He received the B.S. degree in information science and engineering from Southeast University, Nanjing, China, in 2016, and the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2022.He is currently with Huawei, Shenzhen, China, as a Research Engineer.
9 de sept. de 2001 · Cheng, Y., Shu, J., Xu, L., et al. Flexible Nanowire Cathode Membrane with Gradient Interfaces and Rapid Electron/Ion Transport Channels for Solid-State Lithium Batteries. ... Shu Jun; NUS Institute for Functional Intelligent Materials. Block S9, Level 9, 4 Science Drive 2, ...
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