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.