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  • 任柏丞
  1. 职  务:教师
  2. 学  院:计算机科学与技术学院
  3. 学历职称:博士/副教授
  4. 联系方式:bc.Ren@hainanu.edu.cn
个人简介 研究项目 学术论文

[1] B. Ren, L. T. Yang, Q. Zhang, J. Feng, and X. Nie. Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(10): 6861-6871

[2] B. Ren, L. T. Yang, X. Nie, J. Feng, X. Deng, and C. Zhu. Zero-Shot Fault Diagnosis for Smart Process Manufacturing via Tensor Prototype Alignment. IEEE Transactions on Neural Networks and Learning Systems, 2024. DOI: 10.1109/TNNLS.2024.3350715

[3] B. Ren, L. T. Yang, Q. Zhang, J. Feng, and X. Nie. Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System with IoT Assistance. IEEE Transactions on Network Science and Engineering, 2022, 10(5): 2503-2513

[4] B. Ren, Y. Yi, L. T. Yang, X. Nie, Z. Yang, and J. Feng. Zero-shot Recognition for Healthcare Social Networks via Tensor-based Vision-semantic Manifold Alignment. IEEE Transactions on Computational Social Systems, 2024. DOI: 10.1109/TCSS.2024.3410872

[5] Y. Yi, G. Zeng, B. Ren*, L. T. Yang, B. Chai, and Y. Li. Prototype Rectification for Zero-Shot Learning. Pattern Recognition, 2024, 156: 110750(通讯作者)

[6] Z. Li, L. T. Yang, B. Ren, X. Nie, Z. Gao, C. Tan, and S. Z. Li. MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024: 11704-11714

[7] Z. Wang, L. T. Yang, B. Ren, J. Zhao, Z. Li, and G. Zeng. Capturing Detail Variations for Lightweight Neural Radiance Fields. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024: 3935-3939

[8] Z. Li, L. T. Yang, X. Nie, B. Ren, and X. Deng. Enhancing Sentence Representation with Visually-supervised Multimodal Pre-training. Proceedings of the 31st ACM International Conference on Multimedia, 2023: 5686-5695

[9] Z. Li, Z. Gao, C. Tan, B. Ren, L. T. Yang, and S. Z. Li. General Point Model Pretraining with Autoencoding and Autoregressive. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024: 20954-20964

[10] J. Feng, L. T. Yang, B. Ren, D. Zou, M. Dong, and S. Zhang. Tensor Recurrent Neural Network with Differential Privacy. IEEE Transactions on Computers, 2023, 73(3): 683-693


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