Zhiqiang Kou - RankMe

29 papers A* 5Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALPSB: Adaptive learngene with plastic and stable branches. Pattern Recognit. Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng
2026	J	`jnl`	Are Multimodal Large Language Models Good Annotators for Image Tagging? CoRR Ming-Kun Xie, Jiahao Xiao, Zhiqiang Kou, Zhongnian Li, Gang Niu, Masashi Sugiyama
2026	J	`jnl`	Corrigendum to "ALPSB: Adaptive Learngene with Plastic and Stable Branches" [Pattern Recognition 172 (2026) 112623]. Pattern Recognit. Shuxia Lin, Xu Yang, Qiufeng Wang, Shunxin Guo, Zhiqiang Kou, Xin Geng
2026	A*	`conf`	LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation. AAAI Junyang Chen, Xiangbo Lv, Zhiqiang Kou, Xingdong Sheng, Ning Xu, Yiguo Qiao
2026	J	`jnl`	LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation. CoRR Junyang Chen, Xiangbo Lv, Zhiqiang Kou, Xingdong Sheng, Ning Xu, Yiguo Qiao
2026	J	`jnl`	Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models. CoRR 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
2026	J	`jnl`	Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling. IEEE Trans. Circuits Syst. Video Technol. Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng
2026	J	`jnl`	Toward Efficient Agents: Memory, Tool learning, and Planning. CoRR 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
2025	J	`jnl`	Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization. IEEE Trans. Neural Networks Learn. Syst. Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng
2025	A*	`conf`	Collaboration Wins More: Dual-Modal Collaborative Attention Reinforcement for Mitigating Large Vision Language Models Hallucination. ACM Multimedia 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
2025	J	`jnl`	Instance-Dependent Inaccurate Label Distribution Learning. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng
2025	J	`jnl`	Label Distribution Learning by Exploiting Fuzzy Label Correlation. IEEE Trans. Neural Networks Learn. Syst. Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025	A*	`conf`	Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. IJCAI Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation. CoRR Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	Label enhancement by manifold fusion of feature and label spaces. Pattern Recognit. Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025	J	`jnl`	Object-level Correlation for Few-Shot Segmentation. CoRR Chunlin Wen, Yu Zhang, Jie Fan, Hongyuan Zhu, Xiu-Shen Wei, Yijun Wang, Zhiqiang Kou, Shuzhou Sun
2025	J	`jnl`	Progressive label enhancement. Pattern Recognit. Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2025	J	`jnl`	Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective. CoRR Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Ming-Kun Xie, Biao Liu, Changwei Wang, Lei Feng, Yuheng Jia, Gang Niu, Masashi Sugiyama, Xin Geng
2025	J	`jnl`	What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models? CoRR Ming-Kun Xie, Jiahao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, Masashi Sugiyama
2024	J	`jnl`	Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization. CoRR Shunxin Guo, Hongsong Wang, Shuxia Lin, Zhiqiang Kou, Xin Geng
2024	A*	`conf`	Building Variable-Sized Models via Learngene Pool. AAAI Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2024	A*	`conf`	Exploiting Multi-Label Correlation in Label Distribution Learning. IJCAI Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng
2024	J	`jnl`	Inaccurate Label Distribution Learning with Dependency Noise. CoRR Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024	J	`jnl`	Inaccurate Label Distribution Learning. IEEE Trans. Circuits Syst. Video Technol. Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024	J	`jnl`	Towards Better Performance in Incomplete LDL: Addressing Data Imbalance. CoRR Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng
2023	J	`jnl`	Building Variable-sized Models via Learngene Pool. CoRR Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2023	J	`jnl`	Data Augmentation For Label Enhancement. CoRR Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng
2023	J	`jnl`	Exploiting Multi-Label Correlation in Label Distribution Learning. CoRR Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2023	J	`jnl`	Inaccurate Label Distribution Learning. CoRR Zhiqiang Kou, Yuheng Jia, Xin Geng