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 | 2913 | 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 | 1029* | 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 | 585 | 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 | 433 | 2020 |
Topology adaptive graph convolutional networks J Du, S Zhang, G Wu, JMF Moura, S Kar arXiv:1710.10370, 2017 | 327 | 2017 |
Universal Self-Training for Unsupervised Domain Adaptation K Mei, C Zhu, J Zou, S Zhang European Conference on Computer Vision (ECCV), 2020 | 293* | 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 | 245 | 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 | 240 | 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 | 213 | 2020 |
Deep Reinforcement Learning H Dong, Z Ding, S Zhang Springer Singapore, 2020 | 212 | 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 | 202 | 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 | 193 | 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 | 178 | 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 | 162 | 2021 |
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 | 138 | 2023 |
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 | 135 | 2018 |
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 | 122 | 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 | 99 | 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 | 93 | 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 | 87 | 2022 |