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Collaborative channel pruning for deep networks. H Peng, J Wu, S Chen, J Huang. International conference on machine learning, 5113-5122. , 2019. 176. 2019. Towards stable test-time adaptation in dynamic wild world. S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan. arXiv preprint arXiv:2302.12400.
Wu Jiaxiang (simplified Chinese: 吴稼祥; traditional Chinese: 吳稼祥; pinyin: Wú Jiàxiáng; born 7 October 1955) is a Chinese scholar, writer, and public intellectual. Wu once served in various political roles in the Chinese government.
Privacy-preserving face recognition with learnable privacy budgets in frequency domain. J Ji, H Wang, Y Huang, J Wu, X Xu, S Ding, SC Zhang, L Cao, R Ji. European Conference on Computer Vision,...
Jiaxiang Wu received the BE degree in automation from the Beijing Institute of Technology, Beijing, China, in 2012, and the PhD degree in computer science from the Institute of Automation, Chinese Academy of Sciences, Beijing, in 2017. He currently works as a senior researcher with Tencent AI Lab.
Jiaxiang WU, PhD Candidate | Cited by 2,283 | of Chinese Academy of Sciences, Beijing (CAS) | Read 15 publications | Contact Jiaxiang WU
Towards Stable Test-time Adaptation in Dynamic Wild World. Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan. Published: 01 Feb 2023, Last Modified: 03 Jul 2024. ICLR 2023 notable top 5%. Quantized Convolutional Neural Networks for Mobile Devices.
tFold-Ab: Fast and Accurate Antibody Structure Prediction without Sequence Homologs. 2022-11-13 | Preprint. DOI: 10.1101/2022.11.10.515918. Contributors : Jiaxiang Wu; Fandi Wu; Biaobin Jiang; Wei Liu; Peilin Zhao. Show more detail.
