個人簡介

張子君，計算機科學博士，畢業于加拿大卡爾加裡大學。本科、碩士畢業于華中科技大學。研究方向涉及網絡，雲計算，和深度學習，研究成果發表于相關領域頂級會議如SIGMETRICS，NeurIPS，ICML。目前研究興趣集中于機器學習基礎算法，涉及神經網絡的優化算法，正則化，網絡結構，表征學習，強化學習等多個前沿課題。

研究方向

教育背景

工作經驗

教授課程

發表論文

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

課題科研

研究團隊

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