Luo, Yihong

10 publications

ICCV 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang
ICLR 2025 Decoupled Graph Energy-Based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
ICCV 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang
NeurIPS 2025 Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang
NeurIPS 2025 Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
ICLR 2025 You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang
ECCV 2024 Energy-Clibrated VAE with Test Time Free Lunch Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
NeurIPS 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
IJCAI 2023 LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
CVPR 2022 TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization Adjoint with Moving Speed Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng