孙乘坚(Sun, chengjian)

sunchengjian
孙乘坚, 博士研究生, 2015年9月入学  
Chengjian Sun, Ph.D. candidate, since Sept. 2015  
Email:   sunchengjian@buaa.edu.cn  
Address: Group 203, Beihang University,  
Beijing 100191, China

孙乘坚,黑龙江齐齐哈尔人,2015年6月于北京航空航天大学高等理工学院(原高等工程学院)获学士学位。同年9月免试进入北航电子信息工程学院直接攻读博士学位。主要研究方向为超可靠低时延通信,机器学习与优化方法,以及移动人工智能。

Chengjian Sun received his B. Eng. degree in School of Advanced Engineering from Beihang University (BUAA), Beijing, China in 2015. He is now pursuing his Ph.D. degree in the School of Electronics and Information Engineering from BUAA. His research interests lie in the areas of ultra-reliable and low-latency communications, machine learning for optimization, and mobile AI.

Publications

Journal Papers
  1. Chengjian Sun, Jiajum Wu, andChangyang She," Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior," accepted IEEE Wireless Communications.

  2. Chengjian Sun, Changyang She, Chenyang Yang, Tony Q.S. Quek, Yonghui Li, and B. Vucetic, "Optimizing Resource Allocation in Short Blocklength Regime for Ultra-reliable and Low-latency Communications," IEEE Trans. on Wireless Communications, vol. 18, no. 1, pp. 402-415, Jan. 2019.

  3. Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, and Branka Vucetic," A tutorial on ultra reliable and low-latency communications in 6G: integrating domain knowledge into deep learning," Proceedings of the IEEE, vol. 109, no. 3., Mar. 2021, pp204-246.

  4. Dong Liu, Chengjian Sun, Chenyang Yang and L. Hanzo," Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning," IEEE Network Magazine, vol. 34, no. 4, July/Aug. 2020, pp. 270-277.

Conference Papers
  1. Chengjian Sun, Dong Liu, and Chenyang Yang, "Model-Free Unsupervised Learning for Optimization Problems with Constraints,"IEEE APCC, 2019

  2. Chengjian Sun, and Chenyang Yang, "Learning to Optimize with Unsupervised Learning: Training Deep Neural Networks for URLLC," IEEE PIMRC 2019.

  3. Chengjian Sun, and Chenyang Yang, "Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications," IEEE GlobeCom, 2019.

  4. Chengjian Sun, Changyang She, and Chenyang Yang, "Retransmission Policy with Frequency Hopping for Ultra-reliable and Low-latency Communications," IEEE ICC 2018.

  5. Chengjian Sun, Changyang She, and Chenyang Yang, "Exploiting Multi-user Diversity for Ultra-reliable and Low-latency Communications," IEEE GlobeCom Workshops 2017.

  6. Chengjian Sun, Changyang She, and Chenyang Yang, "Energy-Efficient Resource Allocation for Ultra-reliable and Low-latency Communications," IEEE GlobeCom 2017.

  7. Jie Zhang, Chengjian Sun, and Chenyang, Yang, "Resource Allocation in URLLC with Online Learning for Mobile Users,"IEEE VTC Spring 2021.

  8. Pengyu Cong, Chengjian Sun, Dong liu and Chenyang Yang, "Optimizing Caching Policy and Bandwidth Allocation Towards User Fairness," IEEE WCNC 2020.

Patents
  1. 孙乘坚,张捷,杨晨阳,刘婷婷,索士强,黄远芳,无线资源分配方法、模型训练及推理方法、装置和设备,国家发明专利,申请号202110507804.0。