🧭 Research Interests
⛽ Projects
📄 Publications
(†Equal contribution; *Corresponding author)
🎯 Published Papers
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Exploring Learning Complexity for Efficient Downstream Dataset Pruning.
Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei*.
Proceedings of the 13th International Conference on Learning Representations (ICLR’25). -
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data.
MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang*.
Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI’25). -
On the Noise Robustness of In-Context Learning for Text Generation.
Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei*.
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS’24). -
Similarity-Navigated Conformal Prediction for Graph Neural Networks.
Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang*.
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS’24). -
DOS: Diverse Outlier Sampling for Out-of-distribution Detection.
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei*.
Proceedings of the 12th International Conference on Learning Representations (ICLR’24). -
Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise.
Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang*.
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23). -
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection.
Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang*.
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23). -
CESED: Exploiting Hyperspherical Predefined Evenly Distributed Class Centroids for OOD Detection.
Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang*.
Proceedings of SIAM International Conference on Data Mining (SDM’23).