Shuyang Gu

Orcid: 0000-0003-4535-2280

According to our database1, Shuyang Gu authored at least 50 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models.
CoRR, February, 2026

2025
Distribution Matching Variational AutoEncoder.
CoRR, December, 2025

CCA: collaborative competitive agents for image editing.
Frontiers Comput. Sci., November, 2025

PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting.
CoRR, September, 2025

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.
CoRR, July, 2025

Optimal Stepsize for Diffusion Sampling.
CoRR, March, 2025

Equivariant Image Modeling.
CoRR, March, 2025

Tokenize Image as a Set.
CoRR, March, 2025

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models.
CoRR, March, 2025

VolumeDiffusion: Feed-forward text-to-3D generation with efficient volumetric encoder.
Graph. Model., 2025

A Dual-Level Game-Theoretic Approach for Collaborative Learning in UAV-Assisted Heterogeneous Vehicle Networks.
Proceedings of the IEEE International Performance, 2025

Improved Noise Schedule for Diffusion Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Incorporating Pre-Trained Diffusion Models in Solving the Schrödinger Bridge Problem.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Several questions of visual generation in 2024.
CoRR, 2024

Improved Noise Schedule for Diffusion Training.
CoRR, 2024

Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step.
CoRR, 2024

Simplified Diffusion Schrödinger Bridge.
CoRR, 2024

Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning.
Big Data Min. Anal., 2024

FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Profit maximization in social networks and non-monotone DR-submodular maximization.
Theor. Comput. Sci., May, 2023

VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder.
CoRR, 2023

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks.
CoRR, 2023

Efficient Diffusion Training via Min-SNR Weighting Strategy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Paint by Example: Exemplar-based Image Editing with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Adaptive seeding for profit maximization in social networks.
J. Glob. Optim., 2022

CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet.
CoRR, 2022

Improved Vector Quantized Diffusion Models.
CoRR, 2022

StyleSwin: Transformer-based GAN for High-resolution Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Vector Quantized Diffusion Model for Text-to-Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Binary Search Double Greedy Algorithm for Non-monotone DR-submodular Maximization.
Proceedings of the Algorithmic Aspects in Information and Management, 2022

2021
A constrained two-stage submodular maximization.
Theor. Comput. Sci., 2021

k-Submodular maximization with two kinds of constraints.
Discret. Math. Algorithms Appl., 2021

Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

High-Fidelity and Arbitrary Face Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Influence Optimization Problems in Social Networks.
PhD thesis, 2020

A general method of active friending in different diffusion models in social networks.
Soc. Netw. Anal. Min., 2020

Data placement in distributed data centers for improved SLA and network cost.
J. Parallel Distributed Comput., 2020

A fast double greedy algorithm for non-monotone DR-submodular function maximization.
Discret. Math. Algorithms Appl., 2020

PriorGAN: Real Data Prior for Generative Adversarial Nets.
CoRR, 2020

GIQA: Generated Image Quality Assessment.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Robust Profit Maximization with Double Sandwich Algorithms in Social Networks.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Mask-Guided Portrait Editing With Conditional GANs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Two-Stage Constrained Submodular Maximization.
Proceedings of the Algorithmic Aspects in Information and Management, 2019

Interaction-Aware Influence Maximization and Iterated Sandwich Method.
Proceedings of the Algorithmic Aspects in Information and Management, 2019

2018
Arbitrary Style Transfer With Deep Feature Reshuffle.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2015
On Power Management Policies for Data Centers.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015


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