我 | About

我是郭泉,目前于美国密歇根州立大学进行博士后研究工作,在这里与Parisa Kordjamshidi教授共同研究。 我于2017年获四川大学获得博士学位,导师是章毅教授,IEEE Fellow。 我分别于2013年和2010年在这里获得了理学硕士和工学学士学位。
欢迎查看我的简历GitHub页面领英页面以及谷歌学术页面

I am Quan Guo, Ph.D., Postdoc Fellow at Michigan State University, USA, where I am working with Professor Parisa Kordjamshidi. I received my Ph.D. degree in machine intelligence from Sichuan University in 2017, supervised by Professor Zhang Yi, IEEE fellow. I also received my Master's degree and Bachelor's degree from there in 2013 and 2010 respectively.
Check my CV, GitHub profile, LinkedIn profile, and Google Scholar page.

工作经历 | Experience

  • 2019/08 - present, 密歇根州立大学博士后 | Michigan State University, Postdoctoral Fellow
  • 2019/02 - 2019/08, 杜兰大学博士后 | Tulane University, Postdoctoral Fellow

研究兴趣 | Research Interest

  • 机器智能 | Machine Intelligence
  • 认知科学 | Cognitive Science
  • 神经科学 | Neuroscience
  • 神经网络 | Neural Networks
  • 回复式神经网络 | Recurrent Neural Networks
  • 深度学习 | Deep Learning

发表论文 | Publications

2018

[1]
X. Xu, Quan Guo, J. Guo, and Z. Yi, “DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks,” IEEE Access, no. 6, pp. 66972–66983, 2018.
DOI 10.1109/ACCESS.2018.2875406.
[2]
J. Wang, L. Zhang, Quan Guo, and Z. Yi, “Recurrent Neural Networks with Auxiliary Memory Unit,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1652–1661, 2018.
DOI 10.1109/TNNLS.2017.2677968.

2017

[1]
郭泉, “大数据表达的神经网络方法 - Big Data Representation Based on Neural Networks,” 2017.
[2]
K. Li, Quan Guo, and J. Guo, “Novel Algorithms for Reducing Bladder Volume Estimation Error Caused by Scanning Positions,” International Journal of Computer Mathematics, vol. 94, no. 6, pp. 1138–1154, 2017.
DOI 10.1080/00207160.2016.1184260.
[3]
Quan Guo, H. Zhang, and Z. Yi, “High-Order Measurements for Residual Classifiers,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1030–1042, 2017.
DOI 10.1109/TNNLS.2016.2515128.
[4]
章毅, 郭泉, and 王建勇, “大数据分析的神经网络方法,” 工程科学与技术, vol. 49, no. 1, pp. 9–18, 2017.
DOI 10.15961/j.jsuese.2017.01.002.

2016

[1]
Quan Guo, J. Jia, G. Shen, L. Zhang, L. Cai, and Z. Yi, “Learning Robust Uniform Features for Cross-media Social Data by Using Cross Autoencoders,” Knowledge-Based Systems, vol. 102, pp. 64–75, 2016.
DOI 10.1016/j.knosys.2016.03.028.
[2]
Y. Sun, H. Mao, Quan Guo, and Z. Yi, “Learning a good representation with unsymmetrical auto-encoder,” Neural Computing and Applications, vol. 27, no. 5, pp. 1361–1367, 2016.
DOI 10.1007/s00521-015-1939-3.
[3]
Quan Guo, J. Wang, Y. Chen, and Z. Yi, “Chinese Songci Composing with Recurrent Neural Network,” in 2016 International Conference on Frontier of Computer Science and Technology (FCST 2016), 2016, pp. 1–6.

2014

[1]
章毅, 郭泉, 张蕾, and 吕建成, “深度网络和认知计算,” 中国计算机学会通讯, vol. 10, no. 2, pp. 26–32, 2014.
[2]
H. Lin, J. Jia, G. Quan, Y. Xue, Q. Li, J. Huang, L. Cai, and L. Feng, “User-level Psychological Stress Detection from Social Media Using Deep Neural Network,” in Proceedings of the ACM International Conference on Multimedia, 2014, pp. 507–516.
DOI 10.1145/2647868.2654945.
[3]
Z. Ren, J. Jia, Quan Guo, K. Zhang, and L. Cai, “Acoustics, content and geo-information based sentiment prediction from large-scale networked voice data,” in 2014 IEEE International Conference on Multimedia and Expo (ICME 2014), 2014, pp. 1–4.
DOI 10.1109/ICME.2014.6890151.
[4]
H. Lin, J. Jia, Quan Guo, Y. Xue, J. Huang, L. Cai, and L. Feng, “Psychological stress detection from cross-media microblog data using Deep Sparse Neural Network,” in 2014 IEEE International Conference on Multimedia and Expo (ICME 2014), 2014, pp. 1–6.
DOI 10.1109/ICME.2014.6890213.

2013

[1]
Quan Guo, L. Zhang, S. Wang, and Z. Yi, “Rigid image registration via column sparse optimisation for seal registration,” Electronics Letters, vol. 49, no. 17, pp. 1069–1071, 2013.
DOI 10.1049/el.2013.0835.
[2]
郭泉, “稀疏表达及其在图像处理中的应用 - Sparse Representation and Applications in Image Processing,” 2013.
Link.

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专业活动 | Professional Activities

Organizations

  • Chair, IEEE Chengdu Young Professional Affinity Group (2016~)

Journal Reviewer

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Cybernetics (TCyb)
  • Knowledge-Based Systems
  • Neurocomputing
  • Frontiers of Computer Science
  • Acta Automatica Sinica (自动化学报)
  • Applied Computational Intelligence and Soft Computing

Conference Reviewer

  • International Joint Conference on Neural Networks (IJCNN 2014, 2015, 2016, 2017)
  • 2015 National Conference of Theoretical Computer Science (NCTCS 2015) Jinhua, China, Oct. 30 - Nov. 1, 2015
  • 2016 International Conference on Frontier of Computer Science and Technology (FCST 2016), Nagasaki, Japan, Nov. 11, 2016

Conference Organization

  • Session Chair, 2016 International Conference on Frontier of Computer Science and Technology (FCST 2016), Nagasaki, Japan, Nov. 11, 2016
  • Program Committee Member, 2016 International Conference on Frontier of Computer Science and Technology (FCST 2016), Nagasaki, Japan, Nov. 11, 2016

Professional Awards

  • IEEE Chengdu Section 2016 Excellent Student Paper Award
  • SCF 2016 Best Student Paper Award

Professional Experience

  • 2019~ Postdoc Fellow, Department of Computer Science, Tulane University
  • 2014 R&D Internship, Institute of Deep Learning (IDL), Baidu Inc.
  • 2013 Visiting PhD. Student, Tsinghua University

联系方式 | Contact

电子邮件 | Email


地址 | Address

6823 St. Charles Ave.
Tulane University
Department of Computer Science
314 Stanley Thomas Hall
New Orleans, LA 70118