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Aoran Zhang

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2020 – today

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2024
[j6]
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Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu, Weibin Zhao, Hai Geng:
A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation. IEEE Access 12: 339-350 (2024)
[j5]
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Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao:
Contrastive Learning-Based Personalized Tag Recommendation. Sensors 24(18): 6061 (2024)
[j4]
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Yonghong Yu, Aoran Zhang, Li Zhang, Rong Gao, Shang Gao, Hongzhi Yin:
Hyperbolic Translation-Based Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. 11(6): 7467-7483 (2024)
[j3]
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Aoran Zhang, Zhigang Ling, Yaonan Wang:
Multi-Layer Decoupling Attention Network for Weakly Supervised Object Localization. IEEE Trans. Multim. 26: 4469-4479 (2024)
[j2]
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Chunyu Hu, Aoran Zhang, Yilin Xu:
Metaphor, Stance, and Identity: A Corpus-Based Study of CEO Letters in Chinese and American Corporate Social Responsibility Reports. IEEE Trans. Prof. Commun. 67(1): 47-62 (2024)
[c4]
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Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin:
Hyperbolic Adversarial Learning for Personalized Item Recommendation. DASFAA (3) 2024: 303-312
[i1]
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  - journals/corr/abs-2410-13986
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Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu:
Recurrent Neural Goodness-of-Fit Test for Time Series. CoRR abs/2410.13986 (2024)
2023
[c3]
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  - conf/icaci/LinCZZWZ23
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Gaoming Lin, Fanglin Chen, Zhicong Zhang, Aoran Zhang, Xiao Wang, Changjun Zhou:
DenseNeXt: An Efficient Backbone for Image Classification. ICACI 2023: 1-6
[c2]
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Zhicong Zhang, Fanglin Chen, Aoran Zhang, Gaoming Lin, Xiao Wang, Changjun Zhou:
YOLOv5-GXT: A New PCB Surface Defect Detection Algorithm Based on YOLOv5. ICACI 2023: 1-7
2022
[j1]
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Zhigang Ling, Liang Li, Aoran Zhang:
RSMNet: A Regional Similar Module Network for Weakly Supervised Object Localization. Neural Process. Lett. 54(6): 5079-5097 (2022)
[c1]
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Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin:
Hyperbolic Personalized Tag Recommendation. DASFAA (2) 2022: 216-231

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