Zuheng Xu - RankMe

21 papers A* 8A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? AISTATS Son Luu, Zuheng Xu, Nikola Surjanovic, Miguel Biron-Lattes, Trevor Campbell, Alexandre Bouchard-Côté
2025	J	`jnl`	Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour
2025	A*	`conf`	Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization. ICML Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell
2025	J	`jnl`	Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization. CoRR Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell
2024	J	`jnl`	Automated Discovery of Pairwise Interactions from Unstructured Data. CoRR Zuheng Xu, Moksh Jain, Ali Denton, Shawn Whitfield, Aniket Didolkar, Berton Earnshaw, Jason S. Hartford
2024	A*	`conf`	Propensity Score Alignment of Unpaired Multimodal Data. NeurIPS Johnny Xi, Jana Osea, Zuheng Xu, Jason S. Hartford
2024	A*	`conf`	Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. AAAI Xin Ding, Yongwei Wang, Zuheng Xu
2023	J	`jnl`	Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
2023	J	`jnl`	Distilling and transferring knowledge via cGAN-generated samples for image classification and regression. Expert Syst. Appl. Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch
2023	A*	`conf`	Embracing the chaos: analysis and diagnosis of numerical instability in variational flows. NeurIPS Zuheng Xu, Trevor Campbell
2023	J	`jnl`	Embracing the chaos: analysis and diagnosis of numerical instability in variational flows. CoRR Zuheng Xu, Trevor Campbell
2023	A*	`conf`	MixFlows: principled variational inference via mixed flows. ICML Zuheng Xu, Naitong Chen, Trevor Campbell
2023	J	`jnl`	Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. CoRR Xin Ding, Yongwei Wang, Zuheng Xu
2022	A*	`conf`	Bayesian inference via sparse Hamiltonian flows. NeurIPS Naitong Chen, Zuheng Xu, Trevor Campbell
2022	J	`jnl`	Bayesian inference via sparse Hamiltonian flows. CoRR Naitong Chen, Zuheng Xu, Trevor Campbell
2022	J	`jnl`	Ergodic variational flows. CoRR Zuheng Xu, Naitong Chen, Trevor Campbell
2022	J	`jnl`	The computational asymptotics of Gaussian variational inference and the Laplace approximation. Stat. Comput. Zuheng Xu, Trevor Campbell
2021	A*	`conf`	CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. ICLR Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
2021	J	`jnl`	Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression. CoRR Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch
2020	A*	`conf`	Bayesian Pseudocoresets. NeurIPS Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell
2020	J	`jnl`	CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. CoRR Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang