Qinsheng Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Diffusion Model

Stochastic Control

Particle Filtering

Top Venues

IEEE Control. Syst. Lett.

Publications

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 (2024)
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 (2024)
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR (2024)
Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
A parallel framework for graphical optimal transport. CoRR (2024)
Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han
Condition-Aware Neural Network for Controlled Image Generation. CoRR (2024)
Bo Yuan, Qinsheng Zhang, Yongxin Chen
An Optimal Control Approach to Particle Filtering on Lie Groups. IEEE Control. Syst. Lett. 7 (2023)
Qinsheng Zhang, Yongxin Chen
Fast Sampling of Diffusion Models with Exponential Integrator. ICLR (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR (2023)
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
An optimal control approach to particle filtering. Autom. 151 (2023)
Qinsheng Zhang, Jiaming Song, Yongxin Chen
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR (2023)
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)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. ICLR (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR (2023)
Qinsheng Zhang, Yongxin Chen
Fast Sampling of Diffusion Models with Exponential Integrator. CoRR (2022)
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) (2022)
Qinsheng Zhang, Yongxin Chen
Path Integral Sampler: A Stochastic Control Approach For Sampling. ICLR (2022)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. CoRR (2022)
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Learning hidden Markov models from aggregate observations. Autom. 137 (2022)
Qinsheng Zhang, Rahul Singh, Yongxin Chen
Inference of Aggregate Hidden Markov Models With Continuous Observations. IEEE Control. Syst. Lett. 6 (2022)
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
Variational Wasserstein gradient flow. ICML (2022)
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Incremental Inference of Collective Graphical Models. IEEE Control. Syst. Lett. 5 (2) (2021)
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Multi-Marginal Optimal Transport and Probabilistic Graphical Models. IEEE Trans. Inf. Theory 67 (7) (2021)
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
An optimal control approach to particle filtering. CoRR (2021)
Qinsheng Zhang, Yongxin Chen
Diffusion Normalizing Flow. CoRR (2021)
Qinsheng Zhang, Yongxin Chen
Path Integral Sampler: a stochastic control approach for sampling. CoRR (2021)
Qinsheng Zhang, Yongxin Chen
Diffusion Normalizing Flow. NeurIPS (2021)
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Multi-marginal optimal transport and probabilistic graphical models. CoRR (2020)
Qinsheng Zhang, Rahul Singh, Yongxin Chen
Filtering for Aggregate Hidden Markov Models with Continuous Observations. CoRR (2020)
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Inference with Aggregate Data: An Optimal Transport Approach. CoRR (2020)
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Improving Robustness via Risk Averse Distributional Reinforcement Learning. L4DC (2020)
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Improving Robustness via Risk Averse Distributional Reinforcement Learning. CoRR (2020)
Rahul Singh, Qinsheng Zhang, Yongxin Chen
Learning Hidden Markov Models from Aggregate Observations. CoRR (2020)
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
Incremental inference of collective graphical models. CoRR (2020)
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) (2014)