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Qinsheng Zhang
Qinsheng Zhang
Verified email at gatech.edu
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Year
ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Y Balaji, S Nah, X Huang, A Vahdat, J Song, Q Zhang, K Kreis, M Aittala, ...
arXiv preprint arXiv:2211.01324, 2022
4452022
Fast sampling of diffusion models with exponential integrator
Q Zhang, Y Chen
International Conference on Learning Representations, 2022
2232022
Diffusion normalizing flow
Q Zhang, Y Chen
Advances in Neural Information Processing Systems 34, 16280-16291, 2021
792021
gDDIM: Generalized denoising diffusion implicit models
Q Zhang, M Tao, Y Chen
International Conference on Learning Representations, 2022
672022
Multi-marginal optimal transport and probabilistic graphical models
I Haasler, R Singh, Q Zhang, J Karlsson, Y Chen
IEEE Transactions on Information Theory 67 (7), 4647-4668, 2021
482021
Improving robustness via risk averse distributional reinforcement learning
R Singh, Q Zhang, Y Chen
Learning for Dynamics and Control, 958-968, 2020
452020
Variational Wasserstein gradient flow
J Fan, Q Zhang, A Taghvaei, Y Chen
ICML, 2021
432021
Path integral sampler: a stochastic control approach for sampling
Q Zhang, Y Chen
International Conference on Learning Representations, 2021
432021
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Q Zhang, J Song, X Huang, Y Chen, MY Liu
Conference on Computer Vision and Pattern Recognition, 2023
322023
Inference with aggregate data in probabilistic graphical models: An optimal transport approach
R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen
IEEE Transactions on Automatic Control 67 (9), 4483-4497, 2022
31*2022
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
J Song, Q Zhang, H Yin, M Mardani, MY Liu, J Kautz, Y Chen, A Vahdat
International Conference on Machine Learning, 2023
182023
Improved order analysis and design of exponential integrator for diffusion models sampling
Q Zhang, J Song, Y Chen
arXiv preprint arXiv:2308.02157, 2023
62023
An optimal control approach to particle filtering
Q Zhang, A Taghvaei, Y Chen
Automatica 151, 110894, 2023
62023
Incremental inference of collective graphical models
R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen
IEEE Control Systems Letters 5 (2), 421-426, 2020
62020
Inference of aggregate hidden Markov models with continuous observations
Q Zhang, R Singh, Y Chen
IEEE Control Systems Letters 6, 2377-2382, 2022
3*2022
Learning hidden Markov models from aggregate observations
R Singh, Q Zhang, Y Chen
Automatica 137, 110100, 2022
32022
TECHNIQUES FOR DENOISING DIFFUSION USING AN ENSEMBLE OF EXPERT DENOISERS
Y Balaji, TO Aila, M Aittala, B Catanzaro, X Huang, TT Karras, K Kreis, ...
US Patent App. 18/485,239, 2024
2024
An optimal control approach to particle filtering on Lie groups
B Yuan, Q Zhang, Y Chen
IEEE Control Systems Letters 7, 1195-1200, 2022
2022
AsymQ: Asymmetric Q-loss to mitigate overestimation bias in off-policy reinforcement learning
Q Zhang, A Krishna, S Ha, Y Chen
2022
Design of a 5.3-GHz 31.3-dBm Fully Integrated CMOS Power Amplifier Using Folded Splitting and Combining
GV Resta, A Leonhardt, Y Balaji, S De Gendt, PE Gaillardon, G De Micheli, ...
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