![](/__local/9/22/0B/6ABED9635EC6C7052DE13BAF6C2_ED11E625_2838.jpg)
杨翔宇
姓名:杨翔宇
职称:讲师
办公室:龙子湖校区理科南组团C座3楼
邮箱:yangxy@henu.edu.cn
研究方向:最优化算法及应用
教育背景:
2013.09-2017.07,学士,郑州大学,通信工程
2017.09-2019.06,上海科技大学 计算机软件与理论(硕博连读)
2019.09-2022.06 中国科学院大学 通信与信息系统
工作经历:2022.7-至今,BEVITOR伟德APP官网,讲师
研究领域:非线性优化、数据科学
代表性学术论文:
1. X. Yang, H. Wang* and J. Wang, "Towards An Efficient Approach for the Nonconvex Lp-ball Projection: Algorithm and Analysis," Journal of Machine Learning Research (JMLR), vol. 23, no.1, pp. 1-31, 2022.
2. H. Wang, X. Yang*, Y. Shi and J. Lin, "A Proximal Iteratively Reweighted Approach for Efficient Network Sparsification," IEEE Transactions on Computers, vol. 70, no. 1, pp. 185-196, 2022.
3. X. Yang, S. Hua, Y. Shi*, H. Wang, J. Zhang and K. B. Letaief, "Sparse Optimization for Green Edge AI Inference," Journal of Communications and Information Networks, vol. 5, no. 1, pp. 1–15, 2020.
4. T. Jiang, X. Yang, Y. Shi and H. Wang, "Layer-wise Deep Neural Network Pruning via Iteratively Reweighted Optimization," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, pp. 5606-5610.