Selective Recent Publications


[2022][2021][2020][2019][2018][2017][ 2016 and Before]

2022

  • Yuxiang Zhang, Wei Li, Mengmeng Zhang, Ying Qu, Ran Tao, Hairong Qi, "Topological structure and semantic information transfer network for cross-scene hyperspectral image classification," IEEE Transactions on Neural Networks and Learning Systems, 2022.
  • Ying Qu, Zhenzhou Shao, Hairong Qi, "Non-local representation based mutual affine-transfer network for photorealistic stylization," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (pdf)
  • Y. Qu, H. Qi, C. Kwan, N. Yokoya, J. Chanussot, "Unsupervised and unregistered hyperspectral image super-resolution with mutual Dirichlet-net," IEEE Transactions on Geoscience and Remote Sensing, 60:1-18, 2022 (pdf)
  • Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang, "Towards personalized privacy-preserving incentive for truth discovery in mobile crowdsensing systems," IEEE Transactions on Mobile Computing (TMC), 21(1):352-365, January 2022.
  • Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen, "Ensemble-based information retrieval with mass estimation for hyperspectral target detection," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 60:1-23, 2022.
  • Chengcheng Li, Zi Wang, Hairong Qi, "Online knowledge distillation by temporal-spatial boosting," IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI January 4 – 8, 2022. (pdf)
  • Taher Naderi, Amir Sadovnik, Jason Hayward, Hairong Qi, "Monocular depth estimation with adaptive geometric attention," IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI January 4 – 8, 2022. (pdf)

2021

  • Ying Qu, Razieh K. Baghbaderani, Wei Li, Lianru Gao, Yuxiang Zhang, Hairong Qi, "Physically constrained transfer learning through shared abundance space for hyperspectral image classification," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(12):10455-10472, December 2021. (pdf)
  • Yuanchao Su, Xiang Xu, Jun Li, Hairong Qi, Paolo gamba, Antonio Plaza, "Deep autoencoders with multi-task learning for bilinear hyperspectral unmixing," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(10):8615-8629, October 2021.
  • Peng Sun, Zhibo Wang, Liantao Wu, Juajie Shao, Hairong Qi, Zhi Wang, "Trustworthy and cost-effective cell selection for sparse mobile crowdsensing systems," IEEE Transactions on Vehicular Technology (TVT), 70(6):6108-6121, June 2021.
  • Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen, "Target detection through tree-structured encoding for hyperspectral images," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(5):4233-4249, May 2021.
  • Ying Qu, Razieh Kaviani Baghbaderani, Hairong Qi, Chiman Kwan, "Unsupervised pansharpening based on self-attention mechanism," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(4):3192-3208, April 2021. (pdf)
  • Xiao Yang, Yang Zhao, Hairong Qi, George T. Tabler, "Characterizing sounds of different sources in a commercial broiler house," Animals, 11(3):916, March 2021.
  • Ramin Nabati, Hairong Qi, "CenterFusion: Center-based radar and camera fusion for 3d object detection," IEEE Winter Conference on Applications of Computer Vision (WACV), 2021. (GitHub repo, pdf)

2020

  • Mengkai Song, Zhibo Wang, Zhifei Zhang, Yang Song, Qian Wang, Ju Ren, Hairong Qi, "Analyzing user-level privacy attack against federated learning," IEEE Journal on Selected Areas in Communications (JSAC), 38(10):2430-2444, October 2020.
  • Jiaqi Wang, Chengcheng Li, Seungha Shin, Hairong Qi, "Accelerated atomic data production in Ab Initio molecular dynamics with recurrent neural network for materials research," Journal of Physical Chemistry, 124(27):14838–14846, June 2020.

  • Maofeng Tang, Ying Qu, Hairong Qi, "Hyperspectral nonlinear unmixing via generative adversarial network," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Virtual, September 26 - October 2, 2020.
  • Razieh K. Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts, "Representative-discriminative learning for open-set land cover classification of satellite imagery," 16th European Conference on Computer Vision (ECCV), Virtual, August 23-28, 2020. (GitHub repo, pdf)
  • Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, Zhi Wang, "Towards personalized privacy-preserving incentive for truth discovery in crowdsourced binary-choice question answering," IEEE Conference on Computer Communications (INFOCOM), Beijing, China, April 27-30, 2020.
  • Alireza Rahimpour, Hairong Qi, “Class-discriminative feature embedding for meta-learning based few-shot classification,”IEEE Winter Conference on Applications of Computer Vision (WACV), Aspen, CO, March 1-5, 2020. (pdf)

2019

  • Ying Qu, Hairong Qi, "uDAS: An untied denoising autoencoder with sparsity for spectral unmixing," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 57(3):1698-1712, March 2019. (GitHub repo)

  • Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, Hairong Qi, “advPattern: Physical-world attacks on deep person re-identification via adversarially transformable patterns,” International Conference on Computer Vision (ICCV),Seoul, Korea, October 27 - November 2, 2019. (pdf)
  • Yang Song, Jingwen Zhu, Xiaolong Wang, Hairong Qi, “Talking face generation byconditional recurrent adversarial network,” International Joint Conference on ArtificialIntelligence (IJCAI), Macao, China, August 10-16, 2019. (GitHub repo, pdf)
  • Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi, “Image super-resolution byneural texture transfer,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, June 16-20, 2019. (GitHub repo, pdf)
  • Alireza Rahimpour, Sujitha Martin, Ashish Tawari, Hairong Qi, “Context aware road-user importance estimation (iCARE),” IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 9-12, 2019.
  • Zhibo Wang, Mengkai Song, Zhifei Zhang, Yang Song, Qian Wang, Hairong Qi, “Beyond inferring class representatives: User-level privacy leakage from federated learning,” IEEE INFOCOM, April 2019.

2018

  • Ying Qu, Hairong Qi, Chiman Kwan, “Unsupervised sparse Dirichlet-net for hyperspectral image super-resolution,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Spotlight Presentation, June 2018. (GitHub repo, pdf)
  • Zhifei Zhang, Yang Song, Hairong Qi, “Decoupled learning for conditional adversarial networks,” IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, March 2018. (pdf)
  • Liu Liu, Hairong Qi, “Discriminative cross-view binary representation learning,” IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, March 2018. (pdf)
  • Yang Song, Zhifei Zhang, Hairong Qi, “Cross domain face composition and synthesis from limited facial parts,” AAAI Conference on Artificial Intelligence (AAAI), New Orleans, LA, February 2018. (pdf)

2017

  • Zhifei Zhang, Yang Song, Hairong Qi, “Age progression/regression by conditional adversarial autoencoder,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Spotlight Presentation, 2017. (GitHub repo, pdf)
  • Liu Liu, Hairong Qi, “Learning effective binary descriptors via cross entropy,” IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, March 27-29, 2017.

2016 and Before

For older and complete publication list, please see my vita, Google Scholar.