Xijia Tang

According to our database, Xijia Tang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels.

Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Model Rectification With Simultaneous Incremental Feature and Partial Label Set.

Xijia Tang, Chao Xu, Chenping Hou

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Confidence-Based PU Learning With Instance-Dependent Label Noise.

Xijia Tang, Chao Xu, Hong Tao, Xiaoyu Ma, Chenping Hou

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution.

Jiahang Tu, Xijia Tang, Shilin Gu, Yucong Dai, Ruidong Fan, Chenping Hou

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

Incremental Label Distribution Learning.

Chao Xu, Xijia Tang, Hong Tao, Chenping Hou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

On the Generalization of Feature Incremental Learning.

Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Heterogeneous Label Shift: Theory and Algorithm.

Chao Xu, Xijia Tang, Chenping Hou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Multi-Instance Learning with One Side Label Noise.

Tianxiang Luan, Shilin Gu, Xijia Tang, Wenzhang Zhuge, Chenping Hou

ACM Trans. Knowl. Discov. Data, June, 2024

Theoretically Guaranteed Distribution Adaptable Learning.

Chao Xu, Xijia Tang, Guoqing Liu, Yuhua Qian, Chenping Hou

CoRR, 2024

2022

Multi-instance positive and unlabeled learning with bi-level embedding.

Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou

Intell. Data Anal., 2022

2021

Multiple Instance Learning for Unilateral Data.

Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021