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Author

Zebang Shen

Observed names: Shen, Zebang, Z. Shen, 申泽邦
Institution: ETH Zurich
Observed institutions: Mercedes-Benz (Germany), Tencent (China), ETH Zurich, Institute for Machine Learning, Massachusetts Institute of Technology, Zhejiang University, Lanzhou University, University of Pennsylvania
ORCID: 0009-0003-2988-9712
Observed ORCID: 0009-0003-2988-9712
OpenAlex ID: A5103131429
The application of a novel neural network in the detection of phishing websites
2018 · Fang Feng, Qingguo Zhou, et al. · Journal of Ambient Intelligence and Humanized Computing · 102
A novel approach for mobile malware classification and detection in Android systems
2018 · Qingguo Zhou, Fang Feng, et al. · Multimedia Tools and Applications · 52
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
2018 · Shen, Zebang, Mokhtari, Aryan, et al. · arXiv (Cornell University) · 49
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Hessian Aided Policy Gradient
2019 · Zebang Shen, Alejandro Ribeiro, et al. · International Conference on Machine Learning · 44
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization
2020 · Hamed Hassani, Amin Karbasi, et al. · SIAM Journal on Optimization · 43
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One Sample Stochastic Frank-Wolfe
2019 · Zhang, Mingrui, Shen, Zebang, et al. · arXiv (Cornell University) · 37
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Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
2020 · Jiahao Xie, Zebang Shen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 30
A Decentralized Proximal Point-type Method for Saddle Point Problems
2019 · Liu, Weijie, Mokhtari, Aryan, et al. · arXiv (Cornell University) · 28
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A deep learning method for Chinese singer identification
2019 · Zebang Shen, Binbin Yong, et al. · Tsinghua Science & Technology · 25
Tensor Completion with Side Information: A Riemannian Manifold Approach
2017 · Tengfei Zhou, Hui Qian, et al. · International Joint Conference on Artificial Intelligence · 19
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Arrhythmia recognition and classification through deep learning-based approach
2019 · Rui Zhou, Xue Li, et al. · International Journal of Computational Science and Engineering · 16
Multitask Metric Learning: Theory and Algorithm
2019 · Boyu Wang, Hejia Zhang, et al. · International Conference on Artificial Intelligence and Statistics · 15
JUMP: a Jointly Predictor for User Click and Dwell Time
2018 · Tengfei Zhou, Hui Qian, et al. · International Joint Conference on Artificial Intelligence · 14
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Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
2023 · Shen, Zebang, Ye, Jiayuan, et al. · arXiv (Cornell University) · 13
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Self-Consistency of the Fokker-Planck Equation
2022 · Shen, Zebang, Wang, Zhenfu, et al. · arXiv (Cornell University) · 13
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A Stochastic Trust Region Method for Non-convex Minimization
2019 · Shen, Zebang, Zhou, Pan, et al. · arXiv (Cornell University) · 12
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Adaptive variance reducing for stochastic gradient descent
2016 · Zebang Shen, Hui Qian, et al. · International Joint Conference on Artificial Intelligence · 12
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
2023 · Jiahao Xie, Chao Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11
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Safe Learning under Uncertain Objectives and Constraints
2020 · Fereydounian, Mohammad, Shen, Zebang, et al. · arXiv (Cornell University) · 11
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Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
2019 · Jiahao Xie, Chao Zhang, et al. · International Conference on Artificial Intelligence and Statistics · 10
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
2022 · Weijie Liu, Hui Qian, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 9
Straggler-Resilient Personalized Federated Learning
2022 · Tziotis, Isidoros, Shen, Zebang, et al. · arXiv (Cornell University) · 9
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Sinkhorn Barycenter via Functional Gradient Descent
2020 · Shen, Zebang, Wang, Zhenfu, et al. · arXiv (Cornell University) · 7
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Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
2019 · Amin Karbasi, Hamed Hassani, et al. · neural information processing systems · 7
Provable Maximum Entropy Manifold Exploration via Diffusion Models
2025 · De Santi, Riccardo, Vlastelica, Marin, et al. · arXiv (Cornell University) · 6
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Works count: 67
Citation count: 675
H-index: 13
I10-index: 20
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