#ACL2020NLP We will be presenting our ACL 2020 paper "Cross-Modality Relevance for Reasoning on Language and Vision", with Chen, and Parisa. Please checkout our paper, watch our presentation, leave us message, or jump directly into our live QA sessions 8A at Jul 8 (13:00-14:00 GMT / 09:00-10:00 EDT) and 10B Jul 8 (20:00-21:00 GMT / 16:00-17:00 EDT)

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(Research Associate),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,师从章毅教授,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 GitHub页面领英页面以及 谷歌学术页面

I am Quan Guo, Ph.D., Postdoc (Research Associate) 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 GitHub profile, LinkedIn profile, and Google Scholar page.

工作经历 | Professional Experience

  • 2019/08 - present, 密歇根州立大学博士后 | Michigan State University, Postdoc (Research Associate)
  • 2019/02 - 2019/08, 杜兰大学博士后 | Tulane University, Postdoctoral Fellow
  • 2014 R&D Internship, Institute of Deep Learning (IDL), Baidu Inc.
  • 2013 Visiting PhD. Student, Tsinghua University

研究兴趣 | Research Interest

  • 机器智能 | Machine Intelligence
  • 神经网络 | Neural Networks
  • 回复式神经网络 | Recurrent Neural Networks
  • 深度学习 | Deep Learning
  • 结构学习 | Structured Learning
  • 自然语言处理 | Natural Language Processing

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
  • Medical Image Analysis
  • Neurocomputing
  • Acta Automatica Sinica (自动化学报)
  • ...

Conference Organization

  • Organizing Committee, The Fourth International Workshop on Declarative Learning Based Programming (DeLBP 2019), in conjunction with the IJCAI-19, Macao, China, Aug. 10-16, 2019.
  • 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

  • "Most Impactful to AI" Award, the 2nd Michigan AI Symposium, 2019
  • "Excellent Student Paper" Award, IEEE Chengdu Section 2016
  • "Best Student Paper" Award, SCF 2016

联系方式 | Contact

电子邮件 | Email


地址 | Address

428 S. Shaw Lane, Room 2333
Engineering Building
East Lansing, MI 48824-1226