Zuheng Xu

According to our database, Zuheng Xu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks.

Xin Ding, Yongwei Wang, Zuheng Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms.

Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Distilling and transferring knowledge via cGAN-generated samples for image classification and regression.

Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch

Expert Syst. Appl., March, 2023

Embracing the chaos: analysis and diagnosis of numerical instability in variational flows.

Zuheng Xu, Trevor Campbell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MixFlows: principled variational inference via mixed flows.

Zuheng Xu, Naitong Chen, Trevor Campbell

Proceedings of the International Conference on Machine Learning, 2023

2022

The computational asymptotics of Gaussian variational inference and the Laplace approximation.

Zuheng Xu, Trevor Campbell

Stat. Comput., 2022

Ergodic variational flows.

Zuheng Xu, Naitong Chen, Trevor Campbell

CoRR, 2022

Bayesian inference via sparse Hamiltonian flows.

Naitong Chen, Zuheng Xu, Trevor Campbell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation.

Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Bayesian Pseudocoresets.

Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020