Learning Attention Model From Human for Visuomotor Tasks. - Luxin Zhang; Ruohan Zhang; Zhuode Liu; Mary M. Hayhoe; Dana H. Ballard (AAAI, 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 (ECCV (11), 2018)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Zhuode Liu; Lin Guan 003; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (CoRR, 2019)

Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks. - Liang Huang 006; Xu Feng; Luxin Zhang; Liping Qian 001; Yuan Wu 001 (Sensors, 2019)

Optimal Communication Scheduling in the Smart Grid. - Luxin Zhang; Eric C. Kerrigan; Bikash C. Pal (IEEE Trans. Ind. Informatics, 2019)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Calen Walshe; Zhuode Liu; Lin Guan 003; Karl S. Muller; Jake Alden Whritner; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (AAAI, 2020)

Cloth Region Segmentation for Robust Grasp Selection. - Jianing Qian; Thomas Weng; Luxin Zhang; Brian Okorn; David Held (IROS, 2020)

Deep Learning Methods for Virus Identification from Digital Images. - Luxin Zhang; Wei Qi Yan 001 (IVCNZ, 2020)

Target to Source Coordinate-Wise Adaptation of Pre-trained Models. - Luxin Zhang; Pascal Germain; Yacine Kessaci; Christophe Biernacki (ECML/PKDD (1), 2020)

The Application and Challenge of Artificial Intelligence Technology in the Field of Financial Economy. - Ning Han; Luxin Zhang; Jing Liu (AIAM (ACM), 2021)

Meta-Learning Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks. - Liang Huang 006; Luxin Zhang; Shicheng Yang; Li Ping Qian 001; Yuan Wu 001 (IEEE Commun. Lett., 2021)

Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. - Luxin Zhang; Pascal Germain; Yacine Kessaci; Christophe Biernacki (AAAI, 2022)

Interpretable domain adaptation using unsupervised feature selection on pre-trained source models. - Luxin Zhang; Pascal Germain; Yacine Kessaci; Christophe Biernacki (Neurocomputing, 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)

Model agnostic domain adaptation: application to fraud detection. (Adaptation de domaine agnostique au modèle: application à la détection de fraude). - Luxin Zhang (2022)

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)

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., 2023)

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 (CVPR, 2024)

Animated Stickers: Bringing Stickers to Life with Video Diffusion. - David Yan; Winnie Zhang; Luxin Zhang; Anmol Kalia; Dingkang Wang; Ankit Ramchandani; Miao Liu 007; Albert Pumarola; Edgar Schönfeld; Elliot Blanchard; Krishna Narni; Yaqiao Luo; et al. (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning. - Jinyin Chen; Wenbo Mu; Luxin Zhang; Guohan Huang; Haibin Zheng; Yao Cheng (CoRR, 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., 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., 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., 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., 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., 2024)

Augmenting Radio Signals With Wavelet Transform for Deep Learning-Based Modulation Recognition. - Tao Chen 049; Shilian Zheng; Kunfeng Qiu; Luxin Zhang; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Cogn. Commun. Netw., 2024)

MoCha: Towards Movie-Grade Talking Character Synthesis. - Cong Wei 001; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; et al. (CoRR, 2025)

BallPri: test cases prioritization for deep neuron networks via tolerant ball in variable space. - Chengyu Jia; Jinyin Chen; Xiaohao Li; Haibin Zheng; Luxin Zhang (Autom. Softw. Eng., 2025)