Pengchuan Zhang
Pengchuan Zhang
Researcher, Microsoft Research AI lab
Verified email at
Cited by
Cited by
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Provably robust deep learning via adversarially trained smoothed classifiers
H Salman, G Yang, J Li, P Zhang, H Zhang, I Razenshteyn, S Bubeck
arXiv preprint arXiv:1906.04584, 2019
Object-driven text-to-image synthesis via adversarial training
W Li, P Zhang, L Zhang, Q Huang, X He, S Lyu, J Gao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
X Li, X Yin, C Li, P Zhang, X Hu, L Zhang, L Wang, H Hu, L Dong, F Wei, ...
European Conference on Computer Vision, 121-137, 2020
A convex relaxation barrier to tight robustness verification of neural networks
H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang
arXiv preprint arXiv:1902.08722, 2019
On the discrimination-generalization tradeoff in GANs
P Zhang, Q Liu, D Zhou, T Xu, X He
arXiv preprint arXiv:1711.02771, 2017
Recurjac: An efficient recursive algorithm for bounding jacobian matrix of neural networks and its applications
H Zhang, P Zhang, CJ Hsieh
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5757-5764, 2019
A convex relaxation barrier to tight robust verification of neural networks
H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang
arXiv preprint arXiv:1902.08722, 2019
Sparse operator compression of higher-order elliptic operators with rough coefficients
TY Hou, P Zhang
Research in the Mathematical Sciences 4 (1), 1-49, 2017
Understanding the role of momentum in stochastic gradient methods
I Gitman, H Lang, P Zhang, L Xiao
arXiv preprint arXiv:1910.13962, 2019
Concise summarization of heterogeneous treatment effect using total variation regularized regression
A Deng, P Zhang, S Chen, DW Kim, J Lu
arXiv preprint arXiv:1610.03917, 2016
Turbo learning for captionbot and drawingbot
Q Huang, P Zhang, D Wu, L Zhang
arXiv preprint arXiv:1805.08170, 2018
Exploring the locally low dimensional structure in solving random elliptic PDEs
TY Hou, Q Li, P Zhang
Multiscale Modeling & Simulation 15 (2), 661-695, 2017
A sparse decomposition of low rank symmetric positive semidefinite matrices
TY Hou, Q Li, P Zhang
Multiscale Modeling & Simulation 15 (1), 410-444, 2017
Towards coherent and cohesive long-form text generation
WS Cho, P Zhang, Y Zhang, X Li, M Galley, C Brockett, M Wang, J Gao
arXiv preprint arXiv:1811.00511, 2018
TIGEr: text-to-image grounding for image caption evaluation
M Jiang, Q Huang, L Zhang, X Wang, P Zhang, Z Gan, J Diesner, J Gao
arXiv preprint arXiv:1909.02050, 2019
Object-centric image generation from layouts
T Sylvain, P Zhang, Y Bengio, RD Hjelm, S Sharma
arXiv preprint arXiv:2003.07449, 2020
Using statistics to automate stochastic optimization
H Lang, L Xiao, P Zhang
Advances in Neural Information Processing Systems 32, 9540-9550, 2019
An adaptive fast solver for a general class of positive definite matrices via energy decomposition
TY Hou, D Huang, KC Lam, P Zhang
Multiscale Modeling & Simulation 16 (2), 615-678, 2018
VinVL: Making Visual Representations Matter in Vision-Language Models
P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao
arXiv preprint arXiv:2101.00529, 2021
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