Yandong Li
Yandong Li
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Cited by
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Y Li, L Li, L Wang, T Zhang, B Gong
Proceedings of the 36th International Conference on Machine Learning, 2019
Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation
C Gan, Y Li, H Li, C Sun, B Gong
Proceedings of the IEEE international conference on computer vision, 1811-1820, 2017
Stnet: Local and global spatial-temporal modeling for action recognition
D He, Z Zhou, C Gan, F Li, X Liu, Y Li, L Wang, S Wen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8401-8408, 2019
Multimodal keyless attention fusion for video classification
X Long, C Gan, G De Melo, X Liu, Y Li, F Li, S Wen
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Transferring robustness for graph neural network against poisoning attacks
X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Revisiting the effectiveness of off-the-shelf temporal modeling approaches for large-scale video classification
Y Bian, C Gan, X Liu, F Li, X Long, Y Li, H Qi, J Zhou, S Wen, Y Lin
arXiv preprint arXiv:1708.03805, 2017
Temporal modeling approaches for large-scale youtube-8m video understanding
F Li, C Gan, X Liu, Y Bian, X Long, Y Li, Z Li, J Zhou, S Wen
arXiv preprint arXiv:1707.04555, 2017
Detecting anomaly in big data system logs using convolutional neural network
S Lu, X Wei, Y Li, L Wang
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018
How local is the local diversity? reinforcing sequential determinantal point processes with dynamic ground sets for supervised video summarization
Y Li, L Wang, T Yang, B Gong
Proceedings of the European Conference on Computer Vision (ECCV), 151-167, 2018
Depthwise convolution is all you need for learning multiple visual domains
Y Guo, Y Li, R Feris, L Wang, T Rosing
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Joint modeling of dense and incomplete trajectories for citywide traffic volume inference
X Tang, B Gong, Y Yu, H Yao, Y Li, H Xie, X Wang
The World Wide Web Conference, 1806-1817, 2019
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
D Wang, Y Li, L Wang, B Gong
CVPR 2020, 2020
Improving Object Detection with Selective Self-supervised Self-training
Y Li, D Huang, D Qin, L Wang, B Gong
ECCV 2020, 2020
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
Y Li, Y Cheng, Z Gan, L Yu, L Wang, J Liu
CVPR 2020, arXiv: 2003.11690, 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Y Guo, Y Li, L Wang, T Rosing
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
MoViNets: Mobile Video Networks for Efficient Video Recognition
D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, B Gong
CVPR 2021, 2021
Ranking Neural Checkpoints
Y Li, X Jia, R Sang, Y Zhu, B Green, L Wang, B Gong
CVPR 2021, 2020
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
C Zhang, TY Pan, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
arXiv preprint arXiv:2102.08884, 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
TY Pan, C Zhang, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
arXiv preprint arXiv:2107.02170, 2021
Attacking Lifelong Learning Models with Gradient Reversion
Y Guo, M Liu, Y Li, L Wang, T Yang, T Rosing
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