Jiaqi Wu

According to our database, Jiaqi Wu authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories.

Muhammad Ayub Sabir, Junbiao Pang, Jiaqi Wu, Fatima Ashraf

CoRR, October, 2025

Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection.

Junbiao Pang, Baocheng Xiong, Jiaqi Wu, Qingming Huang

IEEE Trans. Intell. Transp. Syst., July, 2025

Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning.

Jiaqi Wu, Junbiao Pang, Qingming Huang

CoRR, March, 2025

Decorrelating structure via adapters makes ensemble learning practical for Semi-supervised Learning.

Jiaqi Wu, Junbiao Pang, Qingming Huang

Eng. Appl. Artif. Intell., 2025

2024

Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection.

Junbiao Pang, Baocheng Xiong, Jiaqi Wu

CoRR, 2024

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification.

Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang

CoRR, 2024

Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization.

Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao

CoRR, 2024

Feature-based Perturbation Makes a Better Ensemble Learning for SSL Classification.

Jiaqi Wu, Junbiao Pang, Qingming Huang

Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

Ensemble of Distinct Students for SSL 2D Pose Estimation.

Jiaqi Wu, Junbiao Pang, Qingming Huang

Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

2023

Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression.

Jiaqi Wu, Junbiao Pang, Qingming Huang

CoRR, 2023

Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation.

Jiaqi Wu, Junbiao Pang, Qingming Huang

CoRR, 2023