On Power Management Policies for Data Centers. - Zygmunt J. Haas; Shuyang Gu (DSDIS, 2015)

Arbitrary Style Transfer With Deep Feature Reshuffle. - Shuyang Gu; Congliang Chen; Jing Liao 001; Lu Yuan (CVPR, 2018)

A Two-Stage Constrained Submodular Maximization. - Ruiqi Yang; Shuyang Gu; Chuangen Gao; Weili Wu 001; Hua Wang; Dachuan Xu (AAIM, 2019)

Mask-Guided Portrait Editing With Conditional GANs. - Shuyang Gu; Jianmin Bao; Hao Yang 036; Dong Chen 003; Fang Wen 001; Lu Yuan (CVPR, 2019)

Robust Profit Maximization with Double Sandwich Algorithms in Social Networks. - Chuangen Gao; Shuyang Gu; Ruiqi Yang; Hongwei Du 001; Smita Ghosh; Hua Wang (ICDCS, 2019)

GIQA: Generated Image Quality Assessment. - Shuyang Gu; Jianmin Bao; Dong Chen 003; Fang Wen 001 (ECCV (11), 2020)

PriorGAN: Real Data Prior for Generative Adversarial Nets. - Shuyang Gu; Jianmin Bao; Dong Chen 003; Fang Wen 001 (CoRR, 2020)

A fast double greedy algorithm for non-monotone DR-submodular function maximization. - Shuyang Gu; Ganquan Shi; Weili Wu 001; Changhong Lu (Discret. Math. Algorithms Appl., 2020)

Data placement in distributed data centers for improved SLA and network cost. - Yuqi Fan 001; Chen Wang 059; Bei Zhang; Shuyang Gu; Weili Wu 001; Ding-Zhu Du (J. Parallel Distributed Comput., 2020)

A general method of active friending in different diffusion models in social networks. - Shuyang Gu; Chuangen Gao; Ruiqi Yang; Weili Wu 001; Hua Wang; Dachuan Xu (Soc. Netw. Anal. Min., 2020)

Interaction-aware influence maximization and iterated sandwich method. - Chuangen Gao; Shuyang Gu; Ruiqi Yang; Jiguo Yu; Weili Wu 001; Dachuan Xu (Theor. Comput. Sci., 2020)

High-Fidelity and Arbitrary Face Editing. - Yue Gao 006; Fangyun Wei; Jianmin Bao; Shuyang Gu; Dong Chen 003; Fang Wen 001; Zhouhui Lian (CVPR, 2021)

Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition. - Shuyang Gu; Jianmin Bao; Dong Chen 003 (ICME, 2021)

k-Submodular maximization with two kinds of constraints. - Ganquan Shi; Shuyang Gu; Weili Wu 001 (Discret. Math. Algorithms Appl., 2021)

A constrained two-stage submodular maximization. - Ruiqi Yang; Shuyang Gu; Chuangen Gao; Weili Wu 001; Hua Wang; Dachuan Xu (Theor. Comput. Sci., 2021)

A Binary Search Double Greedy Algorithm for Non-monotone DR-submodular Maximization. - Shuyang Gu; Chuangen Gao; Weili Wu 001 (AAIM, 2022)

Vector Quantized Diffusion Model for Text-to-Image Synthesis. - Shuyang Gu; Dong Chen 003; Jianmin Bao; Fang Wen 001; Bo Zhang 025; Dongdong Chen 001; Lu Yuan; Baining Guo (CVPR, 2022)

StyleSwin: Transformer-based GAN for High-resolution Image Generation. - Bowen Zhang 010; Shuyang Gu; Bo Zhang 025; Jianmin Bao; Dong Chen 003; Fang Wen 001; Yong Wang; Baining Guo (CVPR, 2022)

Improved Vector Quantized Diffusion Models. - Zhicong Tang; Shuyang Gu; Jianmin Bao; Dong Chen 003; Fang Wen 001 (CoRR, 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. - Xiaoyi Dong; Jianmin Bao; Ting Zhang 002; Dongdong Chen 001; Shuyang Gu; Weiming Zhang 001; Lu Yuan; Dong Chen 003; Fang Wen 001; Nenghai Yu (CoRR, 2022)

Adaptive seeding for profit maximization in social networks. - Chuangen Gao; Shuyang Gu; Jiguo Yu; Hai Du; Weili Wu 001 (J. Glob. Optim., 2022)

RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion. - Tengfei Wang 002; Bo Zhang 025; Ting Zhang 002; Shuyang Gu; Jianmin Bao; Tadas Baltrusaitis; Jingjing Shen; Dong Chen 003; Fang Wen 001; Qifeng Chen; Baining Guo (CVPR, 2023)

Paint by Example: Exemplar-based Image Editing with Diffusion Models. - Binxin Yang; Shuyang Gu; Bo Zhang 025; Ting Zhang 002; Xuejin Chen; Xiaoyan Sun 001; Dong Chen 003; Fang Wen 001 (CVPR, 2023)

Efficient Diffusion Training via Min-SNR Weighting Strategy. - Tiankai Hang; Shuyang Gu; Chen Li; Jianmin Bao; Dong Chen 003; Han Hu 001; Xin Geng 001; Baining Guo (ICCV, 2023)

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. - Zigang Geng; Binxin Yang; Tiankai Hang; Chen Li; Shuyang Gu; Ting Zhang 002; Jianmin Bao; Zheng Zhang 022; Han Hu 001; Dong Chen 003; Baining Guo (CoRR, 2023)

VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder. - Zhicong Tang; Shuyang Gu; Chunyu Wang 001; Ting Zhang 002; Jianmin Bao; Dong Chen 003; Baining Guo (CoRR, 2023)

Profit maximization in social networks and non-monotone DR-submodular maximization. - Shuyang Gu; Chuangen Gao; Jun Huang; Weili Wu 001 (Theor. Comput. Sci., 2023)

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. - Zigang Geng; Binxin Yang; Tiankai Hang; Chen Li; Shuyang Gu; Ting Zhang 002; Jianmin Bao; Zheng Zhang 022; Houqiang Li; Han Hu 001; Dong Chen 003; Baining Guo (CVPR, 2024)

FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation. - Xinzhi Mu; Li Chen; Bohan Chen; Shuyang Gu; Jianmin Bao; Dong Chen 003; Ji Li 006; Yuhui Yuan (ECCV (58), 2024)

Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning. - Chuanwen Luo; Jian Zhang; Jianxiong Guo; Yi Hong 003; Zhibo Chen 004; Shuyang Gu (Big Data Min. Anal., 2024)

Simplified Diffusion Schrödinger Bridge. - Zhicong Tang; Tiankai Hang; Shuyang Gu; Dong Chen 003; Baining Guo (CoRR, 2024)

Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step. - Zhanhao Liang; Yuhui Yuan; Shuyang Gu; Bohan Chen; Tiankai Hang; Ji Li; Liang Zheng (CoRR, 2024)

Improved Noise Schedule for Diffusion Training. - Tiankai Hang; Shuyang Gu (CoRR, 2024)

Several questions of visual generation in 2024. - Shuyang Gu (CoRR, 2024)

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization. - Zhanhao Liang; Yuhui Yuan; Shuyang Gu; Bohan Chen; Tiankai Hang; Mingxi Cheng; Ji Li; Liang Zheng (CVPR, 2025)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models. - Zhendong Wang; Jianmin Bao; Shuyang Gu; Dong Chen 003; Wengang Zhou 001; Houqiang Li (CVPR, 2025)

VolumeDiffusion: Feed-forward text-to-3D generation with efficient volumetric encoder. - Zhicong Tang; Shuyang Gu; Chunyu Wang 001; Ting Zhang 002; Jianmin Bao; Dong Chen 003; Baining Guo (Graph. Model., 2025)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models. - Zhendong Wang; Jianmin Bao; Shuyang Gu; Dongdong Chen 001; Wengang Zhou 001; Houqiang Li (CoRR, 2025)

Tokenize Image as a Set. - Zigang Geng; Mengde Xu; Han Hu 001; Shuyang Gu (CoRR, 2025)

Equivariant Image Modeling. - Ruixiao Dong; Mengde Xu; Zigang Geng; Li Li; Han Hu 001; Shuyang Gu (CoRR, 2025)

Optimal Stepsize for Diffusion Sampling. - Jianning Pei; Han Hu 001; Shuyang Gu (CoRR, 2025)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again. - Zigang Geng; Yibing Wang; Yeyao Ma; Chen Li; Yongming Rao; Shuyang Gu; Zhao Zhong; Qinglin Lu; Han Hu 001; Xiaosong Zhang; Linus; Di Wang; et al. (CoRR, 2025)

CCA: collaborative competitive agents for image editing. - Tiankai Hang; Shuyang Gu; Dong Chen 003; Xin Geng 001; Baining Guo (Frontiers Comput. Sci., 2025)