Zhuoning Yuan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Newly Constructed

Optimization Methods

Top Venues

J. Mach. Learn. Res.

Publications

Santiago Castro, Amir Ziai, Avneesh Saluja, Zhuoning Yuan, Rada Mihalcea
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models. CoRR (2024)
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. CoRR (2023)
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
LibAUC: A Deep Learning Library for X-Risk Optimization. KDD (2023)
Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning. J. Mach. Learn. Res. 24 (2023)
Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. ICML (2023)
Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. 24 (2023)
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
LibAUC: A Deep Learning Library for X-Risk Optimization. CoRR (2023)
Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang
Compositional Training for End-to-End Deep AUC Maximization. ICLR (2022)
Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. ICML (2022)
Zhuoning Yuan, Yuexin Wu, Zihao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. CoRR (2022)
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. ICML (2021)
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. CoRR (2021)
Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. ICCV (2021)
Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang
Memory-based Optimization Methods for Model-Agnostic Meta-Learning. CoRR (2021)
Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang
Stochastic AUC Maximization with Deep Neural Networks. ICLR (2020)
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. CoRR (2020)
Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. SIGSPATIAL/GIS (2020)
Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
Accelerating Deep Learning with Millions of Classes. ECCV (23) (2020)
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. ICML (2020)
Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR (2020)
Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. CoRR (2020)
Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang
Stochastic AUC Maximization with Deep Neural Networks. CoRR (2019)
Xing Fang, Zhuoning Yuan
Performance enhancing techniques for deep learning models in time series forecasting. Eng. Appl. Artif. Intell. 85 (2019)
Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. ICLR (Poster) (2019)
Yi Xu, Zhuoning Yuan, Sen Yang, Rong Jin, Tianbao Yang
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. IJCAI (2019)
Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS (2019)
Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? CoRR (2018)
Zhuoning Yuan, Xun Zhou, Tianbao Yang
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. KDD (2018)
Mohd Anwar, Zhuoning Yuan
Linking Obesity and Tweets. ICSH (2015)