Zhuoning Yuan - RankMe

30 papers A* 11Journal 15Unranked 4

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