Zhiqiang Kou

According to our database, Zhiqiang Kou authored at least 17 papers between 2023 and 2025.

Collaborative distances:

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

2025

Object-level Correlation for Few-Shot Segmentation.

Chunlin Wen, Yu Zhang, Jie Fan, Hongyuan Zhu, Xiu-Shen Wei, Yijun Wang, Zhiqiang Kou, Shuzhou Sun

CoRR, September, 2025

What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?

Ming-Kun Xie, Jiahao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, Masashi Sugiyama

CoRR, August, 2025

Label Distribution Learning by Exploiting Fuzzy Label Correlation.

Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng

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

Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization.

Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng

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

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation.

Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

CoRR, February, 2025

Instance-Dependent Inaccurate Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng

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

Label enhancement by manifold fusion of feature and label spaces.

Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng

Pattern Recognit., 2025

Progressive label enhancement.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

Pattern Recognit., 2025

Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.

Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng

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

2024

Inaccurate Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.

Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2024

Inaccurate Label Distribution Learning with Dependency Noise.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2024

Exploiting Multi-Label Correlation in Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Building Variable-Sized Models via Learngene Pool.

Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploiting Multi-Label Correlation in Label Distribution Learning.

Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng

CoRR, 2023

Data Augmentation For Label Enhancement.

Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng

CoRR, 2023

Inaccurate Label Distribution Learning.

Zhiqiang Kou, Yuheng Jia, Xin Geng

CoRR, 2023