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Author

Zhuoning Yuan

Observed names: Yuan, Zhuoning, Z. G. Yuan
ORCID: 0009-0009-9364-2486
Observed ORCID: 0009-0009-9364-2486
OpenAlex ID: A5101782099
Hetero-ConvLSTM
2018 · Zhuoning Yuan, Xun Zhou, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 381
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Advanced graph and sequence neural networks for molecular property prediction and drug discovery
2022 · Zhengyang Wang, Meng Liu, et al. · Bioinformatics · 126
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Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
2021 · Zhuoning Yuan, Yan Yan, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 120
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Performance enhancing techniques for deep learning models in time series forecasting
2019 · Xing Fang, Zhuoning Yuan · Engineering Applications of Artificial Intelligence · 65
Stochastic AUC Maximization with Deep Neural Networks
2019 · Liu, Mingrui, Yuan, Zhuoning, et al. · arXiv (Cornell University) · 56
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Prediction of the Dst Index with Bagging Ensemble-learning Algorithm
2020 · S. B. Xu, S. Y. Huang, et al. · The Astrophysical Journal Supplement Series · 52
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Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
2018 · Chen, Zaiyi, Yuan, Zhuoning, et al. · arXiv (Cornell University) · 35
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Stagewise Training Accelerates Convergence of Testing Error Over SGD
2018 · Yuan, Zhuoning, Yan, Yan, et al. · arXiv (Cornell University) · 23
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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
2020 · Guo, Zhishuai, Liu, Mingrui, et al. · arXiv (Cornell University) · 18
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Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
2021 · Yuan, Zhuoning, Guo, Zhishuai, et al. · arXiv (Cornell University) · 13
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LibAUC: A Deep Learning Library for X-Risk Optimization
2023 · Zhuoning Yuan, Dixian Zhu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 11
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Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
2020 · Zhuoning Yuan, Yan Yan, et al. · arXiv (Cornell University) · 11
Recent advances on kinetic simulations and observations of electron diffusion region during magnetic reconnection in space plasmas
2025 · S. Y. Huang, Q. Y. Xiong, et al. · Reviews of Modern Plasma Physics · 10
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
2021 · Wang, Bokun, Yuan, Zhuoning, et al. · arXiv (Cornell University) · 9
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Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.
2020 · Zhishuai Guo, Zhuoning Yuan, et al. · arXiv (Cornell University) · 9
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
2023 · Qiu, Zi-Hao, Hu, Quanqi, et al. · arXiv (Cornell University) · 7
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Cycling-Net
2020 · Yichen Ding, Xun Zhou, et al. · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · 7
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
2019 · Yi Xu, Zhuoning Yuan, et al. · International Joint Conference on Artificial Intelligence · 7
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Selection of the Main Control Parameters for the Dst Index Prediction Model Based on a Layer-wise Relevance Propagation Method
2022 · Y. Y. Li, S. Y. Huang, et al. · The Astrophysical Journal Supplement Series · 6
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Applications of multi-GPU computing in large-scale fully kinetic particle-in-cell simulations of space plasma
2025 · Q. Y. Xiong, S. Y. Huang, et al. · AIP Advances · 4
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
2024 · Castro, Santiago, Ziai, Amir, et al. · arXiv (Cornell University) · 3
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Accelerating Deep Learning with Millions of Classes
2020 · Zhuoning Yuan, Zhishuai Guo, et al. · Lecture notes in computer science · 3
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD
2018 · Tianbao Yang, Yan Yan, et al. · arXiv (Cornell University) · 3
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
2022 · Yuan, Zhuoning, Wu, Yuexin, et al. · arXiv (Cornell University) · 2
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Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
2020 · Guo, Zhishuai, Yan, Yan, et al. · arXiv (Cornell University) · 2
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Works count: 30
Citation count: 983
H-index: 11
I10-index: 13
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