Yihong Luo

According to our database, Yihong Luo authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow.

Bowen Zheng, Yihong Luo, Tianyang Hu

CoRR, May, 2026

Indexing Spatio-Temporal Maritime Trajectories for Route Prediction.

Siya Qiu, Yihong Luo, Mauricio Collado, Qiong Luo, Jing Tang

IEEE Trans. Knowl. Data Eng., April, 2026

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval.

Yifan Song, Xingjian Tao, Zhicheng Yang, Yihong Luo, Jing Tang

CoRR, April, 2026

TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward.

Yihong Luo, Tianyang Hu, Weijian Luo, Jing Tang

CoRR, March, 2026

2025

DDFI: Diverse and Distribution-aware Missing Feature Imputation via Two-step Reconstruction.

Yifan Song, Fenglin Yu, Yihong Luo, Xingjian Tao, Siya Qiu, Kai Han, Jing Tang

CoRR, December, 2025

Mitigating Coordinate Prediction Bias from Positional Encoding Failures.

Xingjian Tao, Yiwei Wang, Yujun Cai, Yihong Luo, Jing Tang

CoRR, October, 2025

Reinforcing Diffusion Models by Direct Group Preference Optimization.

Yihong Luo, Tianyang Hu, Jing Tang

CoRR, October, 2025

Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning.

Yihong Luo, Wenwu He, Zhuo-Xu Cui, Dong Liang

CoRR, September, 2025

Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation.

Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang

CoRR, March, 2025

Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls.

Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation.

Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adding Additional Control to One-Step Diffusion with Joint Distribution Matching.

Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Learning Few-Step Diffusion Models by Trajectory Distribution Matching.

Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs.

Yihong Luo, Xiaolong Chen, Jing Tang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

More and Less: Enhancing Abundance and Refining Redundancy for Text-Prior-Guided Scene Text Image Super-Resolution.

Wei Yang, Yihong Luo, Mayire Ibrayim, Askar Hamdulla

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Energy-Calibrated VAE with Test Time Free Lunch.

Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed.

Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Ecological Administration Contract Design for Enterprise and Local Government Based on Bottom-Line Thinking.

Hongwei Lin, Chenggang Li, Yihong Luo

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020