Zeke Xie

CoRR, February, 2025

Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning from Ambiguous Data with Hard Labels.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Diffusion Models are Zero-Shot Generative Text-Vision Retrievers.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

A Simple and Efficient Baseline for Zero-Shot Generative Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Golden Noise for Diffusion Models: A Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-trained Molecular Language Models with Random Functional Group Masking.

[BibT_eX]

[DOI]

CoRR, 2024

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Alignment of Diffusion Models: Fundamentals, Challenges, and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Channel-wise Influence: Estimating Data Influence for Multivariate Time Series.

[BibT_eX]

[DOI]

Muyao Wang

Bo Chen

CoRR, 2024

Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.

[BibT_eX]

[DOI]

CoRR, 2024

VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior.

[BibT_eX]

[DOI]

CoRR, 2024

HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Field Classifiers via Target Encoding and Classification Loss.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Overlooked Structure of Stochastic Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dataset Pruning: Reducing Training Data by Examining Generalization Influence.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence.

[BibT_eX]

[DOI]

CoRR, 2022

On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Sparse Double Descent: Where Network Pruning Aggravates Overfitting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.

[BibT_eX]

[DOI]

Neural Comput., 2021

Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Stable Weight Decay Regularization.

[BibT_eX]

[DOI]

CoRR, 2020

Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia.

[BibT_eX]

[DOI]

CoRR, 2020

A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast.

[BibT_eX]

[DOI]

CoRR, 2020

2017

A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors.

[BibT_eX]

[DOI]