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Cognitive Computing Laboratory

Conference Publications

  1. A. Dabouei, S. Soleymani, J. Dawson, N. M. Nasrabadi, “Fast Geometrically-Perturbed Adversarial Faces,” 2019 IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, January 8-10, 2019.
  2. H. Kazemi, S. M. Iranmanesh, N. M. Nasrabadi, “Style and Content Disentanglement in Generative Adversarial Networks,” 2019 IEEE Winter Conference on Applications of Computer Vision (WACV’19), Waikoloa, Hawaii, January 8-10, 2019.
  3. F. Taherkhani, H. Kazemi, N. M. Nasrabadi, “Matrix Completion for Graph-Based Deep Semi-Supervised Learning”, 33rd AAAI Conference on Artificial Intelligence, Jan. 27-Feb. 1, 2019, Honolulu, Hawaii (16.2 percent acceptance rate).
  4. H. Kazemi, M. Iranmanesh, F. Taherkhani, S. Soleymani, N. M. Nasrabadi, “Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound,” T hirty-second Conference on Neural Information Processing Systems, December 4-6, 2018, Montreal, Canada.
  5. F. Taherkhani, V. Talreja, N. M. Nasrabadi, M. Valenti “Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval,” in IEEE GlobalSIP, November 26-29, 2018, Anaheim, California.
  6. X. Sun, N. M. Nasrabadi, T. D. Tran, “Supervised Multilayer Sparse Coding Networks for image classification,” 2018 IEEE International Conference on Image Processing, Athens, Greece.
  7. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification ,” 2018 IEEE International Conference on Image Processing, Athens, Greece.
  8. S. M. Iranmanesh, H. Kazemi, S. Soleymani, A. Dabouei, N. M. Nasrabadi, “ Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems  ( Best Poster Presentation Award).
  9. S. Soleymani, A. Dabouei, S. M. Iranmanesh, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems .
  10. A. Dabouei, S. Soleymani, H. Kazemi, SM Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi , “ ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction ,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems  ( Best Student Paper Award).
  11. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification,” 2018 International Conference on Pattern Recognition.
  12. A. Soleimani, N. M. Nasrabadi, Elias Griffith, Jason Ralph, Simon Maskell, “Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,” IEEE National Aerospace & Electronics Conference, 2018.
  13. A. Torfi, J. Dawson, N. M. Nasrabadi, “ Text-independent speaker verification using 3-D convolutional neural networks,” IEEE Int. Conf. on Multimedia and Expo.
  14. A Soleimani, N. M. Nasrabadi, “ Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection,” 21st International Conference on Information Fusion, 2018.
  15. B. S Riggan, N. J Short, M. S Sarfraz, S Hu, H Zhang, V. M Patel, S Rasnayaka, J Li, T Sim, S. M Iranmanesh, N. M. Nasrabadi, “ICME grand challenge results on heterogeneous face recognition: polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo, San Diego, California, 2018 ( Second Place Grand Challenges).
  16. F. Taherkhani, N. M. Nasrabadi, Jeremy Dawson, “ A Deep Face Identification Network Enhanced by Facial Attributes Prediction,” IEEE CVPRW 2018 ( Best Workshop Paper).
  17. H Kazemi, S Soleymani, A Dabouei, M Iranmanesh, N. M. Nasrabadi, “Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition,” IEEE CVPRW 2018 .
  18. H. Kazemi, M. Iranmanesh, N. M. Nasrabadi, “Automatic target recognition using deep convolutional neural networks,” Automatic Target Recognition XXVIII, SPIE Defense and Commercial Sensing, Gaylord Palms Resort & Convention Center, Orlando, Florida, April 15-19, 2018. 
  19. H. Kazemi, S. M. Iranmanesh, A. Dabouei, S. Soleymani, N. M. Nasrabadi, “Facial Attributes Guided Deep Sketch-to-Photo Synthesis,” IEEE Winter Conf. on Applications of Computer Vision (WCAVW’18), Workshop on Cross-Domain Biometric Recognition, Lake Tahoe, Nevada, March 12-15, 2018 ( Best Paper Award).
  20. O. Ulutan, B. S. Riggan, N. M. Nasrabadi, B. S. Manjunath, “An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data,” IEEE Winter Conf. on Applications of Computer Vision, Lake Tahoe, Nevada, March 12-14, 2018.
  21. S. M. Iranmanesh, A Dabouei, H Kazemi, N. M. Nasrabadi, “Deep Cross Polarimetric Thermal-to-visible Face Recognition,” the 11th IAPR International Conferences on Biometrics, 2018, Gold Coast, Australia
  22. A. Dabouei, H. Kazemi, S.M. Iranmanesh, J. Dawson, N. M. Nasrabadi, “Fingerprint Distortion Rectification using Deep Convolutional Neural Networks,” the 11th IAPR International Conferences on Biometrics, 2018, Gold Coast, Australia (Best Student Paper).
  23. Hara K., Adams A., Milland K., Savage S., Callison-Burch C., Bigham J., “A Data-Driven Analysis of Workers Earnings on Amazon Mechanical Turk.” CHI 2018: ACM Conference on Human Factors in Computing Systems, 25 percent acceptance rate and Honorable Mention (only 5 percent of all accepted papers).
  24. Saviaga C., Keegan B., Savage S., “Mobilizing the Trump Train: Understanding Collective Action in a Political Troll Community.” ICWSM 2018: International AAAI Conference on Web and Social Media 2018, 15 percent acceptance rate.
  25. Chun-Wei Chiang, Anna Kasunic, Saiph Savage, “Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth,” CSCW: ACM Conference on Computer-Supported Cooperative Work, 2018.
  26. Juan Pablo Flores, Saiph Savage, Jessica Hammer, Joseph Seering, “The Social Roles of Bots: Evaluating Impact of Bots on Discussions in Online Communities,” CSCW: ACM Conference on Computer-Supported Cooperative Work, 2018.
  27. Yixin Du and Xin Li, “Recursive deep residue learning for single image dehazing,” IEEE Conference on CVPR Workshop, 2018.
  28. G Guo, N Zhang, “What Is the Challenge for Deep Learning in Unconstrained Face Recognition?,” 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018.
  29. X. Liu, G Guo, “Attributes in Multiple Facial Images,” 13th IEEE International Conference on Automatic Face & Gesture Recognition , 2018.
  30. Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. “Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting”, 33rd AAAI Conference on Artificial Intelligence, 2019 (16.2 percent acceptance rate).
  31. Yanfang Ye, Lingwei Chen, Shifu Hou, Xin Li, Shouhuai Xu, Liang Zhao, Jiabin Wang, Qi Xiong. “ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network”, Annual Computer Security Applications Conference, 2018 (20.1 percent acceptance rate).
  32. Yujie Fan, Shifu Hou, Yiming Zhang, Yanfang Ye, Melih Abdulhayoglu. “Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System”, Proceedings of ACM International Conference on Knowledge Discovery and Data Mining , 2018 (22.5 percent acceptance rate).
  33. Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li. “Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network,”  27th International Joint Conference on Artificial Intelligence, 2018 (20.5 percent acceptance rate).
  34. Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu. “Make Evasion Harder: An Intelligent Android Malware Detection System,” 27th International Joint Conference on Artificial Intelligence, 2018 (20.5 percent acceptance rate).
  35. Junxiang Wang, Liang Zhao, Yanfang Ye. “Semi-supervised Multi-instance Learning for Flu Shot Adverse Event Detection,”  IEEE international conference on Big Data , 2018 (18.9 percent acceptance rate).
  36. Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu*, Yanfang Ye, Thirimachos Bourlai. “iDetector: Automate Underground Forum Analysis Based on Heterogeneous Information Network,”  Proceedings of International Conference on Advances in Social Network Analysis and Mining, 2018.
  37. Lingwei Chen, Shifu Hou, Yanfang Ye, Shouhuai Xu. “DroidEye: Fortifying Security of Learning-based Classifier against Adversarial Android Malware Attacks,”  Proceedings of International Conference on Advances in Social Network Analysis and Mining, 2018.
  38. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao. “KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network,” IEEE International Conference on Big Knowledge, 2018.
  39. Yiming Zhang, Yujie Fan*, Yanfang Ye, Xin Li, Erin L. Winstanley. “Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter,” 32nd AAAI Conference on Artificial Intelligence Workshops , 2018.