Shuhao Li

According to our database, Shuhao Li authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Unifying Lane-Level Traffic Prediction From a Graph Structural Perspective: Benchmark and Baseline.

Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., September, 2025

Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation.

Shuhao Li, Weidong Yang, Yue Cui, Xiaoxing Liu, Lingkai Meng, Lipeng Ma, Fan Zhang

CoRR, July, 2025

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation.

Xinyi Liu, Lipeng Ma, Yixuan Li, Weidong Yang, Qingyuan Zhou, Jiayi Song, Shuhao Li, Ben Fei

CoRR, June, 2025

MGSR: 2D/3D Mutual-boosted Gaussian Splatting for High-fidelity Surface Reconstruction under Various Light Conditions.

Qingyuan Zhou, Yuehu Gong, Weidong Yang, Jiaze Li, Yeqi Luo, Baixin Xu, Shuhao Li, Ben Fei, Ying He

CoRR, March, 2025

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model.

Lipeng Ma, Weidong Yang, Yixuan Li, Ben Fei, Mingjie Zhou, Shuhao Li, Sihang Jiang, Bo Xu, Yanghua Xiao

CoRR, January, 2025

IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior.

Jingyi Xu, Siwei Tu, Weidong Yang, Ben Fei, Shuhao Li, Keyi Liu, Yeqi Luo, Lipeng Ma, Lei Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior.

Jingyi Xu, Siwei Tu, Weidong Yang, Shuhao Li, Keyi Liu, Yeqi Luo, Lipeng Ma, Ben Fei, Lei Bai

CoRR, 2024

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models.

Lipeng Ma, Weidong Yang, Sihang Jiang, Ben Fei, Mingjie Zhou, Shuhao Li, Bo Xu, Yanghua Xiao

CoRR, 2024

ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction.

Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction.

Shuhao Li, Yue Cui, Jingyi Xu, Jing Zhao, Fan Zhang, Weidong Yang, Xiaofang Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework.

Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction.

Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

A Universal Targeted Attack Method against Image Classification.

Huili Luo, Zhaoquan Gu, Chunajing Zhang, Le Wang, Shuhao Li, Zhiqin Chen

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021