Yihong Luo

24 papers A* 5Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Indexing Spatio-Temporal Maritime Trajectories for Route Prediction.
IEEE Trans. Knowl. Data Eng.
Siya Qiu, Yihong Luo, Mauricio Collado, Qiong Luo, Jing Tang
2026 J jnl
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward.
CoRR
Yihong Luo, Tianyang Hu, Weijian Luo, Jing Tang
2025 J jnl
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching.
CoRR
Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang
2025 J jnl
DDFI: Diverse and Distribution-aware Missing Feature Imputation via Two-step Reconstruction.
CoRR
Yifan Song, Fenglin Yu, Yihong Luo, Xingjian Tao, Siya Qiu, Kai Han, Jing Tang
2025 A* conf
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs.
ICLR
Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
2025 J jnl
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs.
CoRR
Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao
2025 J jnl
Learning Few-Step Diffusion Models by Trajectory Distribution Matching.
CoRR
Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang
2025 J jnl
Mitigating Coordinate Prediction Bias from Positional Encoding Failures.
CoRR
Xingjian Tao, Yiwei Wang, Yujun Cai, Yihong Luo, Jing Tang
2025 J jnl
Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls.
CoRR
Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang
2025 J jnl
Reinforcing Diffusion Models by Direct Group Preference Optimization.
CoRR
Yihong Luo, Tianyang Hu, Jing Tang
2025 J jnl
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation.
CoRR
Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
2025 J jnl
Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning.
CoRR
Yihong Luo, Wenwu He, Zhuo-Xu Cui, Dong Liang
2025 A* conf
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs.
ICLR
Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang
2024 — conf
Energy-Calibrated VAE with Test Time Free Lunch.
ECCV (85)
Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
2024 A* conf
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.
NeurIPS
Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
2024 J jnl
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.
CoRR
Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
2024 — conf
More and Less: Enhancing Abundance and Refining Redundancy for Text-Prior-Guided Scene Text Image Super-Resolution.
ICDAR (5)
Wei Yang, Yihong Luo, Mayire Ibrayim, Askar Hamdulla
2024 J jnl
You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs.
CoRR
Yihong Luo, Xiaolong Chen, Jing Tang
2023 J jnl
Energy-Calibrated VAE with Test Time Free Lunch.
CoRR
Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
2023 A* conf
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
IJCAI
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
2023 J jnl
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
CoRR
Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
2022 A* conf
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed.
CVPR
Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
2022 J jnl
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed.
CoRR
Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
2020 — conf
Ecological Administration Contract Design for Enterprise and Local Government Based on Bottom-Line Thinking.
SimuTools (1)
Hongwei Lin, Chenggang Li, Yihong Luo