Linking Obesity and Tweets. - Mohd Anwar; Zhuoning Yuan (ICSH, 2015)

Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. - Zhuoning Yuan; Xun Zhou 001; Tianbao Yang (KDD, 2018)

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? - Tianbao Yang; Yan Yan 006; Zhuoning Yuan; Rong Jin 001 (CoRR, 2018)

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. - Zaiyi Chen; Zhuoning Yuan; Jinfeng Yi; Bowen Zhou 001; Enhong Chen; Tianbao Yang (ICLR (Poster), 2019)

On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization. - Yi Xu 008; Zhuoning Yuan; Sen Yang; Rong Jin 001; Tianbao Yang (IJCAI, 2019)

Stagewise Training Accelerates Convergence of Testing Error Over SGD. - Zhuoning Yuan; Yan Yan 006; Rong Jin 001; Tianbao Yang (NeurIPS, 2019)

Performance enhancing techniques for deep learning models in time series forecasting. - Xing Fang; Zhuoning Yuan (Eng. Appl. Artif. Intell., 2019)

Accelerating Deep Learning with Millions of Classes. - Zhuoning Yuan; Zhishuai Guo; Xiaotian Yu; Xiaoyu Wang 002; Tianbao Yang (ECCV (23), 2020)

Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. - Yichen Ding; Xun Zhou 001; Han Bao 003; Yanhua Li; Cara Hamann; Steven Spears; Zhuoning Yuan (SIGSPATIAL/GIS, 2020)

Stochastic AUC Maximization with Deep Neural Networks. - Mingrui Liu; Zhuoning Yuan; Yiming Ying; Tianbao Yang (ICLR, 2020)

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. - Zhishuai Guo; Mingrui Liu; Zhuoning Yuan; Li Shen 005; Wei Liu 005; Tianbao Yang (ICML, 2020)

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. - Zhishuai Guo; Zhuoning Yuan; Yan Yan 006; Tianbao Yang (CoRR, 2020)

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. - Zhuoning Yuan; Yan Yan 006; Milan Sonka; Tianbao Yang (CoRR, 2020)

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. - Zhuoning Yuan; Yan Yan 006; Milan Sonka; Tianbao Yang (ICCV, 2021)

Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. - Zhuoning Yuan; Zhishuai Guo; Yi Xu 008; Yiming Ying; Tianbao Yang (ICML, 2021)

Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. - Zhuoning Yuan; Zhishuai Guo; Yi Xu 008; Yiming Ying; Tianbao Yang (CoRR, 2021)

Memory-based Optimization Methods for Model-Agnostic Meta-Learning. - Bokun Wang; Zhuoning Yuan; Yiming Ying; Tianbao Yang (CoRR, 2021)

Compositional Training for End-to-End Deep AUC Maximization. - Zhuoning Yuan; Zhishuai Guo; Nitesh V. Chawla; Tianbao Yang (ICLR, 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 005; Denny Zhou; Tianbao Yang (ICML, 2022)

Advanced graph and sequence neural networks for molecular property prediction and drug discovery. - Zhengyang Wang; Meng Liu 015; Youzhi Luo; Zhao Xu 005; Yaochen Xie; Limei Wang; Lei Cai; Qi Qi 006; Zhuoning Yuan; Tianbao Yang; Shuiwang Ji (Bioinform., 2022)

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 005; Tianbao Yang (ICML, 2023)

LibAUC: A Deep Learning Library for X-Risk Optimization. - Zhuoning Yuan; Dixian Zhu; Zi-Hao Qiu; Gang Li; Xuanhui Wang; Tianbao Yang (KDD, 2023)

Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. - Zhishuai Guo; Yan Yan 006; Zhuoning Yuan; Tianbao Yang (J. Mach. Learn. Res., 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)

CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models. - Santiago Castro; Amir Ziai; Avneesh Saluja; Zhuoning Yuan; Rada Mihalcea (CoRR, 2024)