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L. Kong, S. Yu, Z. Zhang, J. Mao, Intracortical Wireless Bidirectional Brain-Computer Interface with High Data Density, IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, Singapore, May 19-22.2024.
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L. Guo, Y. Chen, and S. Yu, Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift, International Conference on Pattern Recognition (ICPR), pp.111-127, Kolkata, India, Dec 1-5, 2024.
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A, Ye, Y. Song, J, Su, and D. Zhang, Non-Invasive Spatial Registration Using Customized Dental Bracket and Improved Genetic Algorithms, 20th IEEE International Conference on Automation Science and Engineering (CASE), pp. 3250-3255, Bari, Italy, Aug 28-Sep 1, 2024.
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H. Huang, Y. Cui, M. Shi, and S. Yu, Semi-supervised cerebrovascular segmentation using TOF-MRA images based on label refinement and consistency regularization, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, Athens, Greece, May 27-30, 2024.
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C. Han, S. Yu, Z. Zhang, and J. Mao, A Lumped Circuit Model for Implantable Body-Coupled Channel, IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, Singapore, May 19-22.2024.
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F. Qin, T, Hou, L, Lin, K. Wang, M. Yip and S. Yu, AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT, IEEE International Conference on Robotics and Automation (ICRA), pp. 12397-12403, Yokohama, Japan, May 13-17, 2024.
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Z. Chen, Y. Chen, X. Zou, and S. Yu, Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding, 38th AAAI Conference on Artificial Intelligence, pp. 11462-11470, Vancouver, Canada, Feb 20-27, 2024.
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G. Shen, D. Zhao, T. Li, J. Li, and Y. Zeng, Are Conventional SNNs Really Efficient? A Perspective from Network Quantization, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 27538-27547,Seattle WA, United States, June 17- 21, 2024.
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Y. Li, Y. Sun, X. He, Y. Dong, D. Zhao, and Y. Zeng, Parallel Spiking Unit for Efficient Training of Spiking Neural Networks, The International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Yokohama, Japan, June 30 -July 5, 2024.
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Y. Dong, Y. Li, D. Zhao, G. Shen, and Y. Zeng, Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition, Advances in Neural Information Processing Systems, pp.1923-1937, New Orleans, the United States, December 10-19. 2024.
