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Luxin Zhang
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2020 – today
- 2024
- [j12]Luxin Zhang
, Shilian Zheng
MASSnet: Deep-Learning-Based Multiple-Antenna Spectrum Sensing for Cognitive-Radio-Enabled Internet of Things. IEEE Internet Things J. 11(8): 14435-14448 (2024) - [j11]Shilian Zheng
FM-Based Positioning via Deep Learning. IEEE J. Sel. Areas Commun. 42(9): 2568-2584 (2024) - [j10]Shilian Zheng
Deep Learning-Based DOA Estimation. IEEE Trans. Cogn. Commun. Netw. 10(3): 819-835 (2024) - [j9]Jie Chen
PCSP: A Novel Class Discovery Algorithm for Radio Signal Classification. IEEE Trans. Cogn. Commun. Netw. 10(4): 1190-1203 (2024) - [j8]Kunfeng Qiu
DeepSIG: A Hybrid Heterogeneous Deep Learning Framework for Radio Signal Classification. IEEE Trans. Wirel. Commun. 23(1): 775-788 (2024) - [c9]Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu:
AVID: Any-Length Video Inpainting with Diffusion Model. CVPR 2024: 7162-7172 - [i6]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:
Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR abs/2402.06088 (2024) - 2023
- [j7]Zhuang Yang
Adversarial Attacks on Deep Learning-Based DOA Estimation With Covariance Input. IEEE Signal Process. Lett. 30: 1377-1381 (2023) - [j6]Shilian Zheng
Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification. IEEE Trans. Cogn. Commun. Netw. 9(3): 564-579 (2023) - [i5]Tao Chen, Shilian Zheng, Kunfeng Qiu, Luxin Zhang, Qi Xuan, Xiaoniu Yang:
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition. CoRR abs/2311.03761 (2023) - [i4]Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu:
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR abs/2312.03816 (2023) - 2022
- [b1]Luxin Zhang:
Model agnostic domain adaptation: application to fraud detection. (Adaptation de domaine agnostique au modèle: application à la détection de fraude). University of Lille, France, 2022 - [j5]Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Interpretable domain adaptation using unsupervised feature selection on pre-trained source models. Neurocomputing 511: 319-336 (2022) - [j4]Fei Wei
Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning. IEEE Trans. Cogn. Commun. Netw. 8(3): 1399-1410 (2022) - [c8]Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. AAAI 2022: 9057-9065 - 2021
- [j3]Liang Huang
Meta-Learning Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks. IEEE Commun. Lett. 25(5): 1568-1572 (2021) - [c7]Ning Han, Luxin Zhang, Jing Liu:
The Application and Challenge of Artificial Intelligence Technology in the Field of Financial Economy. AIAM (ACM) 2021: 1797-1800 - 2020
- [c6]Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. AAAI 2020: 6811-6820 - [c5]Jianing Qian, Thomas Weng
Cloth Region Segmentation for Robust Grasp Selection. IROS 2020: 9553-9560 - [c4]Luxin Zhang, Wei Qi Yan:
Deep Learning Methods for Virus Identification from Digital Images. IVCNZ 2020: 1-6 - [c3]Luxin Zhang, Pascal Germain
Target to Source Coordinate-Wise Adaptation of Pre-trained Models. ECML/PKDD (1) 2020: 378-394 - [i3]Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held:
Cloth Region Segmentation for Robust Grasp Selection. CoRR abs/2008.05626 (2020)
2010 – 2019
- 2019
- [j2]Liang Huang
Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks. Sensors 19(6): 1446 (2019) - [j1]Luxin Zhang
Optimal Communication Scheduling in the Smart Grid. IEEE Trans. Ind. Informatics 15(9): 5257-5265 (2019) - [i2]Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. CoRR abs/1903.06754 (2019) - 2018
- [c2]Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard:
Learning Attention Model From Human for Visuomotor Tasks. AAAI 2018: 8181-8182 - [c1]Ruohan Zhang
AGIL: Learning Attention from Human for Visuomotor Tasks. ECCV (11) 2018: 692-707 - [i1]Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard:
AGIL: Learning Attention from Human for Visuomotor Tasks. CoRR abs/1806.03960 (2018)
Coauthor Index
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last updated on 2024-10-04 19:58 CEST by the dblp team
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