Ruili Feng

According to our database1, Ruili Feng authored at least 25 papers between 2011 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations.
CoRR, 2024

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lipschitz Singularities in Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DreamClean: Restoring Clean Image Using Deep Diffusion Prior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multi-Task Multi-Agent Shared Layers are Universal Cognition of Multi-Agent Coordination.
CoRR, 2023

Eliminating Lipschitz Singularities in Diffusion Models.
CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.
CoRR, 2023

Customizable Image Synthesis with Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cones: Concept Neurons in Diffusion Models for Customized Generation.
Proceedings of the International Conference on Machine Learning, 2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dimensionality-Varying Diffusion Process.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Dependencies Emerging from Learning Massive Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Rank Diminishing in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Principled Knowledge Extrapolation with GANs.
Proceedings of the International Conference on Machine Learning, 2022

Context Attention Network for Skeleton Extraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Weakly Supervised High-Fidelity Clothing Model Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Weakly Supervised High-Fidelity Clothing Model Generation.
CoRR, 2021

Low-Rank Subspaces in GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding Noise Injection in GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

Uncertainty Principles of Encoding GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
On Noise Injection in Generative Adversarial Networks.
CoRR, 2020

2011
CASCADE_SCAN: mining signal transduction network from high-throughput data based on steepest descent method.
BMC Bioinform., 2011


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