Weijian Luo

Trans. Mach. Learn. Res., 2025

Deep Hashing With Walsh Domain for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2025

Liberating the expressive capacity of deep hashing for image retrieval.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2025

Content-activating for artistic style transfer with ambiguous sketchy content image.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Deep hashing with mutual information: A comprehensive strategy for image retrieval.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

Consistency Models Made Easy.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation.

[BibT_eX]

[DOI]

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

2024

Self-Guidance: Boosting Flow and Diffusion Generation on Their Own.

[BibT_eX]

[DOI]

CoRR, 2024

Denoising Fisher Training For Neural Implicit Samplers.

[BibT_eX]

[DOI]

Wei Deng

CoRR, 2024

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Flow Generator Matching.

[BibT_eX]

[DOI]

CoRR, 2024

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images.

[BibT_eX]

[DOI]

CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Variational Schrödinger Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness.

[BibT_eX]

[DOI]

CoRR, 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

[BibT_eX]

[DOI]

CoRR, 2023

Entropy-based Training Methods for Scalable Neural Implicit Sampler.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Knowledge Distillation of Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Robotics, 2023

Enhancing Adversarial Robustness via Score-Based Optimization.

[BibT_eX]

[DOI]

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

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

[BibT_eX]

[DOI]

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

Entropy-based Training Methods for Scalable Neural Implicit Samplers.

[BibT_eX]

[DOI]