Shanghang Zhang
Shanghang Zhang
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Informer: Beyond efficient transformer for long sequence time-series forecasting
H Zhou, S Zhang, J Peng, S Zhang, J Li, H Xiong, W Zhang
Proceedings of the AAAI conference on artificial intelligence 35 (12), 11106 …, 2021
COVID-CT-Dataset: a CT scan dataset about COVID-19
X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie
arXiv preprint arXiv:2003.13865, 2020
Adversarial multiple source domain adaptation
H Zhao*, S Zhang*, G Wu, JMF Moura, JP Costeira, GJ Gordon
Advances in neural information processing systems 31, 8559-8570, 2018
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
X He*, X Yang*, S Zhang*, J Zhao, Y Zhang, E Xing, P Xie
medRxiv, 2020
Topology adaptive graph convolutional networks
J Du, S Zhang, G Wu, JMF Moura, S Kar
arXiv:1710.10370, 2017
Universal Self-Training for Unsupervised Domain Adaptation
K Mei, C Zhu, J Zou, S Zhang
European Conference on Computer Vision (ECCV), 2020
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
S Zhang*, G Wu*, JP Costeira, JMF Moura
International Conference on Computer Vision (ICCV), 2017
A review of single-source deep unsupervised visual domain adaptation
S Zhao, X Yue*, S Zhang*, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ...
IEEE Transactions on Neural Networks and Learning Systems, 2020
Deep Reinforcement Learning
H Dong, Z Ding, S Zhang
Springer Singapore, 2020
Multi-source Distilling Domain Adaptation
S Zhao*, G Wang*, S Zhang*, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ...
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Temporal efficient training of spiking neural network via gradient re-weighting
S Deng, Y Li, S Zhang, S Gu
arXiv preprint arXiv:2202.11946, 2022
Differentiable spike: Rethinking gradient-descent for training spiking neural networks
Y Li, Y Guo, S Zhang, S Deng, Y Hai, S Gu
Advances in Neural Information Processing Systems 34, 23426-23439, 2021
Understanding Traffic Density from Large-Scale Web Camera Data
S Zhang, G Wu, JP Costeira, JMF Moura
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
X Yue, Z Zheng, S Zhang, Y Gao, T Darrell, K Keutzer, AS Vincentelli
CVPR 2021, 2021
A Deep Learning Approach to IoT Authentication
R Das, A Gadre, S Zhang, S Kumar, J Moura
IEEE ICC 2018 Communication and Information Systems Security Symposium, 2018
Chateval: Towards better llm-based evaluators through multi-agent debate
CM Chan, W Chen, Y Su, J Yu, W Xue, S Zhang, J Fu, Z Liu
arXiv preprint arXiv:2308.07201, 2023
Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning
X Zhu, R Zhang, B He, Z Guo, Z Zeng, Z Qin, S Zhang, P Gao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Self-supervised pretraining improves self-supervised pretraining
CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
B Li#, Y Wang#, S Zhang#, D Li, T Darrell, K Keutzer, H Zhao
CVPR 2021, 2021
Delving deep into the generalization of vision transformers under distribution shifts
C Zhang#, M Zhang#, S Zhang#, D Jin, Q Zhou, Z Cai, H Zhao, S Yi, X Liu, ...
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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