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Chen Changyou
Chen Changyou
Associate Professor at University at Buffalo
Email confirmado em buffalo.edu - Página inicial
Título
Citado por
Citado por
Ano
Certified adversarial robustness with additive noise
B Li, C Chen, W Wang, L Carin
Advances in neural information processing systems 32, 2019
3892019
Preconditioned stochastic gradient Langevin dynamics for deep neural networks
C Li, C Chen, D Carlson, L Carin
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
3862016
Cyclical stochastic gradient MCMC for Bayesian deep learning
R Zhang, C Li, J Zhang, C Chen, AG Wilson
arXiv preprint arXiv:1902.03932, 2019
3112019
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
Advances in neural information processing systems 30, 2017
2812017
Bayesian sampling using stochastic gradient thermostats
N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven
Advances in neural information processing systems 27, 2014
2682014
Towards language-free training for text-to-image generation
Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2532022
Pointcloud saliency maps
T Zheng, C Chen, J Yuan, B Li, K Ren
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2172019
On the convergence of stochastic gradient MCMC algorithms with high-order integrators
C Chen, N Ding, L Carin
Advances in neural information processing systems 28, 2015
1992015
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1772018
Topic-guided variational autoencoders for text generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin
arXiv preprint arXiv:1903.07137, 2019
1522019
Distributionally adversarial attack
T Zheng, C Chen, K Ren
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2253-2260, 2019
1482019
Learning structured weight uncertainty in bayesian neural networks
S Sun, C Chen, L Carin
Artificial Intelligence and Statistics, 1283-1292, 2017
1412017
Text-based interactive recommendation via constraint-augmented reinforcement learning
R Zhang, T Yu, Y Shen, H Jin, C Chen
Advances in neural information processing systems 32, 2019
1382019
Low-resolution gait recognition
J Zhang, J Pu, C Chen, R Fleischer
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010
1082010
Bridging the gap between stochastic gradient MCMC and stochastic optimization
C Chen, D Carlson, Z Gan, C Li, L Carin
Artificial Intelligence and Statistics, 1051-1060, 2016
1072016
Scalable deep Poisson factor analysis for topic modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
International Conference on Machine Learning, 1823-1832, 2015
1072015
Towards fair federated learning with zero-shot data augmentation
W Hao, M El-Khamy, J Lee, J Zhang, KJ Liang, C Chen, LC Duke
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1042021
Second-order adversarial attack and certifiable robustness
B Li, C Chen, W Wang, L Carin
1042018
Holistic brain tumor screening and classification based on densenet and recurrent neural network
Y Zhou, Z Li, H Zhu, C Chen, M Gao, K Xu, J Xu
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
982019
Improving sequence-to-sequence learning via optimal transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
arXiv preprint arXiv:1901.06283, 2019
972019
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