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2020 – today
- 2024
[j8]Dongyan Wang
, Limin Chen, Xiaotong Lu, Yidi Wang, Yue Shen, Jingjing Xu:
FedDBO: A Novel Federated Learning Approach for Communication Cost and Data Heterogeneity Using Dung Beetle Optimizer. IEEE Access 12: 43396-43409 (2024)- [j7]Yang Ge, Dmitri V. Truhachev, Abolfazl Zokaei, Xiaotong Lu, Xiaoting Huang, Kamal El-Sankary:
Efficient Address-Embedded Time-Domain Implementation of Minima Finders for Soft Error-Correction Decoders. IEEE Trans. Circuits Syst. II Express Briefs 71(10): 4471-4475 (2024) - 2023
- [j6]Huangzhi Xia, Limin Chen, Dongyan Wang, Xiaotong Lu:
Improved Denclue Outlier Detection Algorithm With Differential Privacy and Attribute Fuzzy Priority Relation Ordering. IEEE Access 11: 90283-90297 (2023) - [j5]Xiaotong Lu, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Adaptive Search-and-Training for Robust and Efficient Network Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9325-9338 (2023) - [c3]Zhaoyang Ding, Xiaofang Sun, Ruihong Jiang, Xiaotong Lu, Zhangdui Zhong, Derrick Wing Kwan Ng:
UAV-Enabled Cell-Free Networks: Joint Optimization for User Fairness. VTC Fall 2023: 1-6 - 2022
- [j4]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li:
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. Int. J. Autom. Comput. 19(5): 366-411 (2022) - [c2]Xiaotong Lu, Teng Xi, Baopu Li, Gang Zhang, Weisheng Dong, Guangming Shi:
Bayesian based Re-parameterization for DNN Model Pruning. ACM Multimedia 2022: 1367-1375 - 2021
- [j3]Anrong Fan, Qiao Wu, Xiaofei Yan, Xiaotong Lu, Yue Ma, Xue Xiao:
Research on Influencing Factors of Personal Information Disclosure Intention of Social Media in China. Data Inf. Manag. 5(1): 195-207 (2021) - [i3]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi:
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. CoRR abs/2108.13055 (2021) - 2020
- [c1]Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi:
Beyond Network Pruning: a Joint Search-and-Training Approach. IJCAI 2020: 2583-2590
2010 – 2019
- 2019
- [j2]Xiaotong Lu, Heng Wang, Weisheng Dong, Fangfang Wu, Zhonglong Zheng, Guangming Shi:
Learning a Deep Vector Quantization Network for Image Compression. IEEE Access 7: 118815-118825 (2019) - [j1]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2305-2318 (2019) - 2018
- [i2]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR abs/1801.06756 (2018) - [i1]Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi, Xuemei Xie:
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning. CoRR abs/1801.10342 (2018)
Coauthor Index
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