Yuyang Deng

According to our database1, Yuyang Deng authored at least 16 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders.
Pattern Recognit., 2024

Generating and encouraging: An effective framework for solving class imbalance in multimodal emotion recognition conversation.
Eng. Appl. Artif. Intell., 2024

Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees.
CoRR, 2024

Collaborative Learning with Different Labeling Functions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Generalization Ability of Unsupervised Pretraining.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space.
CoRR, 2023

Understanding Deep Gradient Leakage via Inversion Influence Functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributed Personalized Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Early ChatGPT User Portrait through the Lens of Data.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time.
CoRR, 2021

Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Adaptive Personalized Federated Learning.
CoRR, 2020

Distributionally Robust Federated Averaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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