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2020 – today
- 2025
[j4]Kangjun Liu
, Ke Chen, Kui Jia, Yaowei Wang:
Improving deep representation learning via auxiliary learnable target coding. Pattern Recognit. 157: 110938 (2025)- 2024
- [j3]Zuopeng Yang, Pengyu Chen, Tao Li, Kangjun Liu, Yuan Huang, Xin Lin:
Defending against similarity shift attack for EaaS via adaptive multi-target watermarking. Inf. Sci. 678: 120893 (2024) - [c1]Zimo Liu, Kangjun Liu, Mingyue Guo, Shiliang Zhang, Yaowei Wang:
CoTuning: A Large-Small Model Collaborating Distillation Framework for Better Model Generalization. ACM Multimedia 2024: 10487-10496 - [i4]Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen:
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps. CoRR abs/2408.15252 (2024) - 2023
- [j2]Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia:
Classification of single-view object point clouds. Pattern Recognit. 135: 109137 (2023) - [i3]Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia:
Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR abs/2305.18680 (2023) - [i2]Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia:
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR abs/2305.18684 (2023) - 2022
- [j1]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. IEEE Trans. Image Process. 31: 5570-5584 (2022) - [i1]Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. CoRR abs/2208.01997 (2022)
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