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Cognitive Computing Laboratory

Journal Publications

  1. Zhangming Ding, Nasser M. Nasrabadi, Yun Fu, “Semi-supervised task-driven Deep transfer learning via coupled neural networks,” IEEE Transaction on Image Processing, vol. 27, issue 11, pp. 5214-5224, June 2018.
  2. Zhiguo Cao Chi Li, Yang Xiao and Xin Li . “Despeckling via deep residue learning: a hybrid approach,” submitted to IEEE Signal Processing Letter, 2018.
  3. Weisheng Dong, Huan Wang, Fangfang Wu, Guangming Shi and X. Li , “Deep Spatial-spectral representation learning for hyperspectral image denoising,” submitted to IEEE Trans. on Computational Imaging, 2018.
  4. P. Tian, H. Chao, H.P. Flanagan, S. G. Hagerott, Y. Gu, “Design and evaluation of UAV flow angle estimation filters,” IEEE Transactions on Aerospace and Electronic Systems, 2018.
  5. Y. Gu, J. Strader, N Ohi, S. Harper, K.. Lassak, C. Yang, L. Kogan, B. Hu, “Robot foraging: autonomous sample return in a large outdoor environment,” IEEE Robotics & Automation Magazine, 2018.
  6. Y. Gu, N. Ohi, K. Lassak, J. Strader, L. Kogan, A. Hypes, S. Harper, B. Hu, “Cataglyphis: An autonomous sample return rover,” Journal of Field Robotics, 35 (2), 248-274, 2018.
  7. X. Zhou, K. Jin, M. Xu, G. Guo, “Learning deep compact similarity metric for kinship verification from face images,” Information Fusion, 48, 84-94, 2018.
  8. Z. Tan, J. Wan, Z. Lei, R. Zhi, G. Guo, S. Z. Li, “Efficient group-n encoding and decoding for facial age estimation,” IEEE transactions on pattern analysis and machine intelligence, 40 (11), 2610, 2018.
  9. M. Al Jazaery, G. Guo, “Video-based depression level analysis by encoding deep spatiotemporal features,” IEEE Transactions on Affective Computing, 2018.
  10. M. Barr, G. Guo, S. Colby, M. Olfert, “Detecting body mass index from a facial photograph in lifestyle intervention,” Technologies 6 (3), 83, 2018.
  11. X. Zhou, K. Jin, Y. Shang, G. Guo, “Visually interpretable representation learning for depression recognition from facial images,” IEEE Transactions on Affective Computing, 2018.
  12. J. Wan, Z. Tan, Z. Lei, G. Guo, S. Z. Li, “Auxiliary demographic information assisted age estimation with cascaded structure,” IEEE Transactions on Cybernetics, 1-11, 2018.
  13. D. P. Chowdhury, S. Bakshi, G. Guo, P. K. Sa, “On applicability of tunable filter bank based feature for ear biometrics: a study from constrained to unconstrained,” Journal of Medical Systems 42 (1), 11, 2018.
  14. Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang. “Adverse event detection by integrating twitter data and VAERS”, Journal of Biomedical Semantics , 9:19, 2018.
  15. Yanfang Ye, Lingwei Chen, Shifu Hou, William Hardy, Xin Li. “DeepAM: a heterogeneous deep learning framework for intelligent malware detection.” Knowledge and Information Systems, 54.2 (2018): 265-285.