Wenda Zhou

According to our database, Wenda Zhou authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study.

Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei, Dongmei Li

J. Big Data, December, 2023

2022

Compressed Sensing in the Presence of Speckle Noise.

Wenda Zhou, Shirin Jalali, Arian Maleki

IEEE Trans. Inf. Theory, 2022

Deep Learning for Automatic Detection of Recurrent Retinal Detachment after Surgery Using Ultra-Widefield Fundus Images: A Single-Center Study.

Wenda Zhou, Li Dong, Kai Zhang, Qian Wang, Lei Shao, Qiong Yang, Yueming Liu, Li-Jian Fang, Xu-Han Shi, Chuan Zhang, Ruiheng Zhang, He-Yan Li, Hao-Tian Wu, Wen-Bin Wei

Adv. Intell. Syst., 2022

Vitruvion: A Generative Model of Parametric CAD Sketches.

Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Autobahn: Automorphism-based Graph Neural Nets.

Erik H. Thiede, Wenda Zhou, Risi Kondor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design.

Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams

CoRR, 2020

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions.

Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Denoising of structured random processes.

Wenda Zhou, Shirin Jalali

CoRR, 2019

Discrete Object Generation with Reversible Inductive Construction.

Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards theoretically-founded learning-based denoising.

Wenda Zhou, Shirin Jalali

Proceedings of the IEEE International Symposium on Information Theory, 2019

Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach.

Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz

Proceedings of the 7th International Conference on Learning Representations, 2019

Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data.

Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems.

Shuaiwen Wang, Wenda Zhou, Arian Maleki, Haihao Lu, Vahab S. Mirrokni

CoRR, 2018

Compressibility and Generalization in Large-Scale Deep Learning.

Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz

CoRR, 2018

Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions.

Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab S. Mirrokni

Proceedings of the 35th International Conference on Machine Learning, 2018