The Effect of Trust on Customers' Online Repurchase Intention in Consumer-to-Consumer Electronic Commerce. - Lin Jia; Casey G. Cegielski; Qinsheng Zhang (J. Organ. End User Comput., 2014)

Improving Robustness via Risk Averse Distributional Reinforcement Learning. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (L4DC, 2020)

Inference with Aggregate Data: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2020)

Filtering for Aggregate Hidden Markov Models with Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (CoRR, 2020)

Diffusion Normalizing Flow. - Qinsheng Zhang; Yongxin Chen (NeurIPS, 2021)

Incremental Inference of Collective Graphical Models. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Control. Syst. Lett., 2021)

Multi-Marginal Optimal Transport and Probabilistic Graphical Models. - Isabel Haasler; Rahul Singh 002; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Inf. Theory, 2021)

Path Integral Sampler: A Stochastic Control Approach For Sampling. - Qinsheng Zhang; Yongxin Chen (ICLR, 2022)

Variational Wasserstein gradient flow. - Jiaojiao Fan; Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (ICML, 2022)

Learning hidden Markov models from aggregate observations. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (Autom., 2022)

Inference of Aggregate Hidden Markov Models With Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (IEEE Control. Syst. Lett., 2022)

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Autom. Control., 2022)

DiffCollage: Parallel Generation of Large Content with Diffusion Models. - Qinsheng Zhang; Jiaming Song; Xun Huang; Yongxin Chen; Ming-Yu Liu 001 (CVPR, 2023)

Fast Sampling of Diffusion Models with Exponential Integrator. - Qinsheng Zhang; Yongxin Chen (ICLR, 2023)

gDDIM: Generalized denoising diffusion implicit models. - Qinsheng Zhang; Molei Tao; Yongxin Chen (ICLR, 2023)

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. - Jiaming Song; Qinsheng Zhang; Hongxu Yin; Morteza Mardani; Ming-Yu Liu 001; Jan Kautz; Yongxin Chen; Arash Vahdat (ICML, 2023)

An optimal control approach to particle filtering. - Qinsheng Zhang; Amirhossein Taghvaei; Yongxin Chen (Autom., 2023)

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. - Qinsheng Zhang; Jiaming Song; Yongxin Chen (CoRR, 2023)

An Optimal Control Approach to Particle Filtering on Lie Groups. - Bo Yuan 016; Qinsheng Zhang; Yongxin Chen (IEEE Control. Syst. Lett., 2023)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CVPR, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Kai Li; Song Han 003 (CVPR, 2024)

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. - Yujia Huang; Adishree Ghatare; Yuanzhe Liu 001; Ziniu Hu; Qinsheng Zhang; Chandramouli Shama Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue (ICML, 2024)

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. - Jiaojiao Fan; Haotian Xue 002; Qinsheng Zhang; Yongxin Chen (NeurIPS, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Ming-Yu Liu 001; Kai Li; Song Han 003 (CoRR, 2024)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Zhuoyang Zhang; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CoRR, 2024)

A parallel framework for graphical optimal transport. - Jiaojiao Fan; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)

Edify 3D: Scalable High-Quality 3D Asset Generation. - Maciej Bala; Yin Cui; Yifan Ding; Yunhao Ge; Zekun Hao; Jon Hasselgren; Jacob Samuel Huffman; Jingyi Jin; J. P. Lewis 001; Zhaoshuo Li; Chen-Hsuan Lin 001; Yen-Chen Lin; et al. (CoRR, 2024)

Learning, sampling and inference with stochastic differential equations. - Qinsheng Zhang (2024)

High-Quality Joint Image and Video Tokenization with Causal VAE. - Dawit Mureja Argaw; Xian Liu; Qinsheng Zhang; Joon Son Chung; Ming-Yu Liu 001; Fitsum Reda (ICLR, 2025)

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. - Jiaxiang Tang; Zhaoshuo Li; Zekun Hao; Xian Liu; Gang Zeng; Ming-Yu Liu 001; Qinsheng Zhang (ICLR, 2025)

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. - Kaiwen Zheng; Yongxin Chen; Hanzi Mao; Ming-Yu Liu 001; Jun Zhu 001; Qinsheng Zhang (ICLR, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. - Kaiwen Zheng; Yongxin Chen; Huayu Chen; Guande He; Ming-Yu Liu 001; Jun Zhu 001; Qinsheng Zhang (CoRR, 2025)

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. - Ali Hassani 001; Fengzhe Zhou; Aditya Kane; Jiannan Huang 002; Chieh-Yun Chen; Min Shi; Steven Walton 001; Markus Hoehnerbach; Vijay Thakkar; Michael Isaev; Qinsheng Zhang; Bing Xu; et al. (CoRR, 2025)

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. - Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu 001; Jun Zhu 001; Haoxiang Wang (CoRR, 2025)