张子君，计算机科学博士，毕业于加拿大卡尔加里大学。本科、硕士毕业于华中科技大学。研究方向涉及网络，云计算，和深度学习，研究成果发表于相关领域顶级会议如SIGMETRICS，NeurIPS，ICML。目前研究兴趣集中于机器学习基础算法，涉及神经网络的优化算法，正则化，网络结构，表征学习，强化学习等多个前沿课题。

Google Scholar

Machine Learning

· Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, and Liam Paull. “Perceptual Generative Autoencoders”. In: International Conference on Machine Learning (ICML). 2020

· Zijun Zhang, Yining Zhang, and Zongpeng Li. “Removing the Feature Correlation Effect of Multiplicative Noise”. In: Advances in Neural Information Processing Systems (NeurIPS). 2018 (Spotlight)

· Zijun Zhang, Lin Ma, Zongpeng Li, and Chuan Wu. “Normalized Direction-preserving Adam”. In: arXiv preprint arXiv:1709.04546 (2017)

Cloud Computing & Networking

· Zijun Zhang, Zongpeng Li, and Chuan Wu. “Optimal Posted Prices for Online Cloud Resource Allocation”. In: ACM International Conference on Measurement and Analysis of Computing Systems (SIGMETRICS). 2017

· Zijun Zhang, Zongpeng Li, Chuan Wu, and Chuanhe Huang. “A Scalable and Distributed Approach for NFV Service Chain Cost Minimization”. In: IEEE International Conference on Distributed Computing Systems

(ICDCS). 2017

· Zijun Zhang, Zhenkun Jin, and Xiaoxi Zhang. “Min-cost Wireless Multihop Networks in Euclidean Space”. In: IEEE International Symposium on Network Coding (NetCod). 2013