Zhiqiang Kou

According to our database, Zhiqiang Kou authored at least 29 papers between 2023 and 2026.

Collaborative distances:

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

2026

Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity.

Junxiang Wu, Zhiqiang Kou, Hongwei Zeng, Wenke Huang, Biao Liu, Hanlin Gu, Yuheng Jia, Di Jiang, Yang Liu, Xin Geng

CoRR, May, 2026

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning.

Zhiqiang Kou, Junxiang Wu, Wenke Huang, Wenwen He, Ming-Kun Xie, Changwei Wang, Yuheng Jia, Di Jiang, Yang Liu, Xin Geng, Qiang Yang

CoRR, April, 2026

Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling.

Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Are Multimodal Large Language Models Good Annotators for Image Tagging?

Ming-Kun Xie, Jiahao Xiao, Zhiqiang Kou, Zhongnian Li, Gang Niu, Masashi Sugiyama

CoRR, February, 2026

Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models.

Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua

CoRR, January, 2026

Toward Efficient Agents: Memory, Tool learning, and Planning.

Xiaofang Yang, Lijun Li, Heng Zhou, Tong Zhu, Xiaoye Qu, Yuchen Fan, Qianshan Wei, Rui Ye, Li Kang, Yiran Qin, Zhiqiang Kou, Daizong Liu, Qi Li, Ning Ding, Siheng Chen, Jing Shao

CoRR, January, 2026

Corrigendum to "ALPSB: Adaptive Learngene with Plastic and Stable Branches" [Pattern Recognition 172 (2026) 112623].

Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng

Pattern Recognit., 2026

ALPSB: Adaptive learngene with plastic and stable branches.

Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng

Pattern Recognit., 2026

LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation.

Junyang Chen, Xiangbo Lv, Zhiqiang Kou, Xingdong Sheng, Ning Xu, Yiguo Qiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective.

Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng

CoRR, October, 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

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels.

Zhiqiang Kou, Yucheng Xie, Hailin Wang, Junyang Chen, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Xin Geng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Collaboration Wins More: Dual-Modal Collaborative Attention Reinforcement for Mitigating Large Vision Language Models Hallucination.

Jiye Xie, Yifei Gao, Liangliang You, Xiang Xu, Haoran Xu, Zhiqiang Kou, Kexue Fu, Youyang Qu, Wenjie Yang, Jianwei Guo, Weiliang Meng, Longxiang Gao, Haoran Yang, Changwei Wang, Yu Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Object-Level Correlation for Few-Shot Segmentation.

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

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