Zhuoning Yuan

According to our database, Zhuoning Yuan authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models.

Santiago Castro, Amir Ziai, Avneesh Saluja, Zhuoning Yuan, Rada Mihalcea

CoRR, 2024

2023

Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.

Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang

J. Mach. Learn. Res., 2023

Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition.

Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang

J. Mach. Learn. Res., 2023

LibAUC: A Deep Learning Library for X-Risk Optimization.

Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.

Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.

Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Compositional Training for End-to-End Deep AUC Maximization.

Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Memory-based Optimization Methods for Model-Agnostic Meta-Learning.

Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang

CoRR, 2021

Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity.

Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

CoRR, 2021

Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity.

Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.

Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.

Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

CoRR, 2020

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.

Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang

CoRR, 2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.

Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic AUC Maximization with Deep Neural Networks.

Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data.

Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Accelerating Deep Learning with Millions of Classes.

Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Performance enhancing techniques for deep learning models in time series forecasting.

Xing Fang, Zhuoning Yuan

Eng. Appl. Artif. Intell., 2019

Stagewise Training Accelerates Convergence of Testing Error Over SGD.

Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang

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

On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization.

Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.

Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang

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

2018

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?

Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin

CoRR, 2018

Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data.

Zhuoning Yuan, Xun Zhou, Tianbao Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015

Linking Obesity and Tweets.

Mohd Anwar, Zhuoning Yuan

Proceedings of the Smart Health - International Conference, 2015