Jiaqi Wu

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decorrelating structure via adapters makes ensemble learning practical for Semi-supervised Learning. Eng. Appl. Artif. Intell. Jiaqi Wu, Junbiao Pang, Qingming Huang
2025	J	`jnl`	Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories. CoRR Muhammad Ayub Sabir, Junbiao Pang, Jiaqi Wu, Fatima Ashraf
2025	J	`jnl`	Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Junbiao Pang, Baocheng Xiong, Jiaqi Wu, Qingming Huang
2025	J	`jnl`	Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	J	`jnl`	A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification. CoRR Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang
2024	J	`jnl`	Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	—	`conf`	Ensemble of Distinct Students for SSL 2D Pose Estimation. CVIPPR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	—	`conf`	Feature-based Perturbation Makes a Better Ensemble Learning for SSL Classification. CVIPPR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	J	`jnl`	Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection. CoRR Junbiao Pang, Baocheng Xiong, Jiaqi Wu
2024	J	`jnl`	Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization. CoRR Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao
2023	J	`jnl`	Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2023	J	`jnl`	Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang