Jialiang Wang

According to our database, Jialiang Wang authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition.

Hui Liu, Kecheng Chen, Jialiang Wang, Xianming Liu, Wenya Wang, Haoliang Li

CoRR, March, 2026

Variation-Bounded Loss for Noise-Tolerant Learning.

Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise.

Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu

CoRR, August, 2025

Joint Asymmetric Loss for Learning with Noisy Labels.

Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji

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

2024

$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise.

Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu

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

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data.

Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024