Luxin Zhang

According to our database, Luxin Zhang authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FM-Based Positioning via Deep Learning.

Shilian Zheng, Jiacheng Hu, Luxin Zhang, Kunfeng Qiu, Jie Chen, Peihan Qi, Zhijin Zhao, Xiaoniu Yang

IEEE J. Sel. Areas Commun., September, 2024

PCSP: A Novel Class Discovery Algorithm for Radio Signal Classification.

Jie Chen, Zhijin Zhao, Shilian Zheng, Luxin Zhang, Kunfeng Qiu, Xiaoniu Yang

IEEE Trans. Cogn. Commun. Netw., August, 2024

Deep Learning-Based DOA Estimation.

Shilian Zheng, Zhuang Yang, Weiguo Shen, Luxin Zhang, Jiawei Zhu, Zhijin Zhao, Xiaoniu Yang

IEEE Trans. Cogn. Commun. Netw., June, 2024

MASSnet: Deep-Learning-Based Multiple-Antenna Spectrum Sensing for Cognitive-Radio-Enabled Internet of Things.

Luxin Zhang, Shilian Zheng, Kunfeng Qiu, Caiyi Lou, Xiaoniu Yang

IEEE Internet Things J., April, 2024

DeepSIG: A Hybrid Heterogeneous Deep Learning Framework for Radio Signal Classification.

Kunfeng Qiu, Shilian Zheng, Luxin Zhang, Caiyi Lou, Xiaoniu Yang

IEEE Trans. Wirel. Commun., January, 2024

Animated Stickers: Bringing Stickers to Life with Video Diffusion.

David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu

CoRR, 2024

AVID: Any-Length Video Inpainting with Diffusion Model.

Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification.

Shilian Zheng, Xiaoyu Zhou, Luxin Zhang, Peihan Qi, Kunfeng Qiu, Jiawei Zhu, Xiaoniu Yang

IEEE Trans. Cogn. Commun. Netw., June, 2023

Adversarial Attacks on Deep Learning-Based DOA Estimation With Covariance Input.

Zhuang Yang, Shilian Zheng, Luxin Zhang, Zhijin Zhao, Xiaoniu Yang

IEEE Signal Process. Lett., 2023

Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition.

Tao Chen, Shilian Zheng, Kunfeng Qiu, Luxin Zhang, Qi Xuan, Xiaoniu Yang

CoRR, 2023

2022

Model agnostic domain adaptation: application to fraud detection. (Adaptation de domaine agnostique au modèle: application à la détection de fraude).

Luxin Zhang

PhD thesis, 2022

Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning.

Fei Wei, Shilian Zheng, Xiaoyu Zhou, Luxin Zhang, Caiyi Lou, Zhijin Zhao, Xiaoniu Yang

IEEE Trans. Cogn. Commun. Netw., 2022

Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Neurocomputing, 2022

Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models.

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Meta-Learning Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks.

Liang Huang, Luxin Zhang, Shicheng Yang, Li Ping Qian, Yuan Wu

IEEE Commun. Lett., 2021

The Application and Challenge of Artificial Intelligence Technology in the Field of Financial Economy.

Ning Han, Luxin Zhang, Jing Liu

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

Target to Source Coordinate-Wise Adaptation of Pre-trained Models.

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Deep Learning Methods for Virus Identification from Digital Images.

Luxin Zhang, Wei Qi Yan

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Cloth Region Segmentation for Robust Grasp Selection.

Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset.

Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Optimal Communication Scheduling in the Smart Grid.

Luxin Zhang, Eric C. Kerrigan, Bikash C. Pal

IEEE Trans. Ind. Informatics, 2019

Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks.

Liang Huang, Xu Feng, Luxin Zhang, Liping Qian, Yuan Wu

Sensors, 2019

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset.

Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard

CoRR, 2019

2018

AGIL: Learning Attention from Human for Visuomotor Tasks.

Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Attention Model From Human for Visuomotor Tasks.

Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018