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2020 – today
- 2024
[j2]Xinze Zhang, Kun He
, Qi Sima, Yukun Bao:
Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting. Appl. Soft Comput. 161: 111715 (2024)- [c3]Zhenhua Chen, Xinze Zhang, Kun He:
Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification. IJCNN 2024: 1-8 - [i3]Qi Sima, Xinze Zhang, Yukun Bao, Siyue Yang, Liang Shen:
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting. CoRR abs/2406.09643 (2024) - [i2]Renhua Ding, Xinze Zhang, Xiao Yang, Kun He:
Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training Models. CoRR abs/2409.06726 (2024) - 2023
- [c2]Xinze Zhang, Walid Brahim, Mingyang Fan, Jianhua Ma, Muxin Ma, Alex Qi:
Radar-Based Eyeblink Detection Under Various Conditions. ICSCA 2023: 177-183 - 2021
- [j1]Xinze Zhang, Kun He, Yukun Bao:
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks. Neurocomputing 459: 234-248 (2021) - [c1]Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He:
Crafting Adversarial Examples for Neural Machine Translation. ACL/IJCNLP (1) 2021: 1967-1977 - 2020
- [i1]Xinze Zhang, Kun He, Yukun Bao:
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting. CoRR abs/2002.00717 (2020)
Coauthor Index
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