Zebang Shen

Orcid: 0009-0003-2988-9712

According to our database1, Zebang Shen authored at least 44 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Straggler-Resilient Personalized Federated Learning.
CoRR, 2022

An Agnostic Approach to Federated Learning with Class Imbalance.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Consistency of the Fokker Planck Equation.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Federated Functional Gradient Boosting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Federated Learning Framework for Nonconvex-PL Minimax Problems.
CoRR, 2021

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization.
SIAM J. Optim., 2020

Partial Gromov-Wasserstein Learning for Partial Graph Matching.
CoRR, 2020

Safe Learning under Uncertain Objectives and Constraints.
CoRR, 2020

Sinkhorn Natural Gradient for Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sinkhorn Barycenter via Functional Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Accelerating Stratified Sampling SGD by Reconstructing Strata.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

One Sample Stochastic Frank-Wolfe.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Aggregated Gradient Langevin Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A novel approach for mobile malware classification and detection in Android systems.
Multim. Tools Appl., 2019

Arrhythmia recognition and classification through deep learning-based approach.
Int. J. Comput. Sci. Eng., 2019

A Decentralized Proximal Point-type Method for Saddle Point Problems.
CoRR, 2019

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning.
CoRR, 2019

Stochastic Conditional Gradient++.
CoRR, 2019

Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Hessian Aided Policy Gradient.
Proceedings of the 36th International Conference on Machine Learning, 2019

Short-Term Electricity Demand Forecasting Based on Multiple LSTMs.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Multitask Metric Learning: Theory and Algorithm.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
GVM based intuitive simulation web application for collision detection.
Neurocomputing, 2018

JUMP: a Jointly Predictor for User Click and Dwell Time.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Memory-Friendly Deterministic Incremental Gradient Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Path Embeddings with Prescribed Edge in the Balanced Hypercube Network.
Symmetry, 2017

Tensor Completion with Side Information: A Riemannian Manifold Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Riemannian Tensor Completion with Side Information.
CoRR, 2016

Accelerated Stochastic ADMM with Variance Reduction.
CoRR, 2016

Accelerated Variance Reduced Block Coordinate Descent.
CoRR, 2016

Adaptive Variance Reducing for Stochastic Gradient Descent.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fast Hybrid Algorithm for Big Matrix Recovery.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Simple Atom Selection Strategy for Greedy Matrix Completion.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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