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Shipeng Yan
Shipeng Yan
Bytedance
Verified email at shanghaitech.edu.cn - Homepage
Title
Cited by
Cited by
Year
DER: Dynamically Expandable Representation for Class Incremental Learning
S Yan, J Xie, X He
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
4072021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
S Zhang, Z Li, S Yan, X He, J Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2442021
Latentgnn: Learning efficient non-local relations for visual recognition
S Zhang, X He, S Yan
International Conference on Machine Learning, 7374-7383, 2019
842019
Dynamic context correspondence network for semantic alignment
S Huang, Q Wang, S Zhang, S Yan, X He
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
842019
A Dual Attention Network with Semantic Embedding for Few-Shot Learning.
S Yan, S Zhang, X He
AAAI 2019, 2019
642019
Missing Labels in Object Detection.
M Xu, Y Bai, B Ghanem, B Liu, Y Gao, N Guo, X Ye, F Wan, H You, D Fan
CVPR workshops 3 (5), 2019
462019
An EM Framework for Online Incremental Learning of Semantic Segmentation
S Yan, J Zhou, J Xie, S Zhang, X He
ACM MM'21, 2021
362021
General incremental learning with domain-aware categorical representations
J Xie, S Yan, X He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
282022
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
D Hu, S Yan, Q Lu, H Lanqing, H Hu, Y Zhang, Z Li, X Wang, J Feng
ICLR 2022, 2022
202022
Generative negative text replay for continual vision-language pretraining
S Yan, L Hong, H Xu, J Han, T Tuytelaars, Z Li, X He
European Conference on Computer Vision, 22-38, 2022
102022
Budget-aware few-shot learning via graph convolutional network
S Yan, S Zhang, X He
arXiv preprint arXiv:2201.02304, 2022
32022
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Z Jiang, H Lin, Y Zhong, Q Huang, Y Chen, Z Zhang, Y Peng, X Li, C Xie, ...
arXiv preprint arXiv:2402.15627, 2024
12024
MILD: modeling the instance learning dynamics for learning with noisy labels
C Hu, S Yan, Z Gao, X He
arXiv preprint arXiv:2306.11560, 2023
12023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Z Gao, S Yan, X He
Advances in Neural Information Processing Systems 36, 45150-45171, 2023
2023
Scaling Large Language Model Training to More Than 10,000 GPUs
Z Jiang, H Lin, Y Zhong, Q Huang, Y Chen, Z Zhang, Y Peng, X Li, C Xie, ...
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition (Supplementary Material)
S Zhang, Z Li, S Yan, X He, J Sun
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