Yezhen Wang

According to our database1, Yezhen Wang authored at least 16 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization.
CoRR, 2024

Understanding Training-free Diffusion Guidance: Mechanisms and Limitations.
CoRR, 2024

2023
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs.
CoRR, 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR, 2022

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.
CoRR, 2022

An Improved k-Nearest Centroid Neighbor Classification Method for Incomplete Data.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

SPE: Symmetrical Prompt Enhancement for Fact Probing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Invariant Information Bottleneck for Domain Generalization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Invariant Information Bottleneck for Domain Generalization.
CoRR, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Metric Discriminator for Open Set Video Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Rethinking Distributional Matching Based Domain Adaptation.
CoRR, 2020

2019
Perspective-Guided Convolution Networks for Crowd Counting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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