Articles with public access mandates - Yandong LiLearn more
Available somewhere: 11
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Multimodal keyless attention fusion for video classification
X Long, C Gan, G Melo, X Liu, Y Li, F Li, S Wen
Proceedings of the aaai conference on artificial intelligence 32 (1), 2018
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, National Natural Science Foundation of China
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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
2021 Conference on Neural Information Processing Systems, 2021
Mandates: US National Science Foundation
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