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Qinsheng Zhang
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2020 – today
- 2024
- [b1]Qinsheng Zhang:
Learning, sampling and inference with stochastic differential equations. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c11]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CVPR 2024: 7183-7193 - [c10]Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CVPR 2024: 7194-7203 - [c9]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. ICML 2024 - [i19]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. CoRR abs/2402.14285 (2024) - [i18]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR abs/2402.19481 (2024) - [i17]Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CoRR abs/2404.01143 (2024) - [i16]Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen:
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR abs/2405.17661 (2024) - [i15]Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
A parallel framework for graphical optimal transport. CoRR abs/2406.10849 (2024) - [i14]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. CoRR abs/2409.02908 (2024) - 2023
- [j8]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. Autom. 151: 110894 (2023) - [j7]Bo Yuan, Qinsheng Zhang, Yongxin Chen:
An Optimal Control Approach to Particle Filtering on Lie Groups. IEEE Control. Syst. Lett. 7: 1195-1200 (2023) - [c8]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR 2023: 10188-10198 - [c7]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. ICLR 2023 - [c6]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. ICLR 2023 - [c5]Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat:
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML 2023: 32483-32498 - [i13]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR abs/2303.17076 (2023) - [i12]Qinsheng Zhang, Jiaming Song, Yongxin Chen:
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR abs/2308.02157 (2023) - 2022
- [j6]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning hidden Markov models from aggregate observations. Autom. 137: 110100 (2022) - [j5]Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Inference of Aggregate Hidden Markov Models With Continuous Observations. IEEE Control. Syst. Lett. 6: 2377-2382 (2022) - [j4]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. IEEE Trans. Autom. Control. 67(9): 4483-4497 (2022) - [c4]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: A Stochastic Control Approach For Sampling. ICLR 2022 - [c3]Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. ICML 2022: 6185-6215 - [i11]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. CoRR abs/2204.13902 (2022) - [i10]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. CoRR abs/2206.05564 (2022) - 2021
- [j3]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Incremental Inference of Collective Graphical Models. IEEE Control. Syst. Lett. 5(2): 421-426 (2021) - [j2]Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Multi-Marginal Optimal Transport and Probabilistic Graphical Models. IEEE Trans. Inf. Theory 67(7): 4647-4668 (2021) - [c2]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. NeurIPS 2021: 16280-16291 - [i9]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. CoRR abs/2110.03199 (2021) - [i8]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. CoRR abs/2110.07579 (2021) - [i7]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: a stochastic control approach for sampling. CoRR abs/2111.15141 (2021) - 2020
- [c1]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. L4DC 2020: 958-968 - [i6]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference with Aggregate Data: An Optimal Transport Approach. CoRR abs/2003.13933 (2020) - [i5]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. CoRR abs/2005.00585 (2020) - [i4]Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Multi-marginal optimal transport and probabilistic graphical models. CoRR abs/2006.14113 (2020) - [i3]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Incremental inference of collective graphical models. CoRR abs/2006.15035 (2020) - [i2]Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Filtering for Aggregate Hidden Markov Models with Continuous Observations. CoRR abs/2011.02521 (2020) - [i1]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning Hidden Markov Models from Aggregate Observations. CoRR abs/2011.11236 (2020)
2010 – 2019
- 2014
- [j1]Lin Jia, Casey G. Cegielski, Qinsheng Zhang:
The Effect of Trust on Customers' Online Repurchase Intention in Consumer-to-Consumer Electronic Commerce. J. Organ. End User Comput. 26(3): 65-86 (2014)
Coauthor Index
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last updated on 2024-10-10 22:19 CEST by the dblp team
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