Jia, Yuheng

21 publications

ICML 2025 A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning Yaxin Hou, Yuheng Jia

ICCV 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels Yuhang Li, Zhuying Li, Yuheng Jia

AAAI 2025 Calibrated Disambiguation for Partial Multi-Label Learning Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao

ICLR 2025 Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement Yuhang Li, Zhuying Li, Yuheng Jia

ICLR 2025 ConMix: Contrastive Mixup at Representation Level for Long-Tailed Deep Clustering Zhixin Li, Yuheng Jia

ICML 2025 Concentration Distribution Learning from Label Distributions Jiawei Tang, Yuheng Jia

ICML 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia

NeurIPS 2025 Keep It on a Leash: Controllable Pseudo-Label Generation Towards Realistic Long-Tailed Semi-Supervised Learning Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou

IJCAI 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

ICML 2025 Learning from Sample Stability for Deep Clustering Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou

ICLR 2025 Noise Separation Guided Candidate Label Reconstruction for Noisy Partial Label Learning Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang

IJCAI 2025 Partial Label Clustering Yutong Xie, Fuchao Yang, Yuheng Jia

NeurIPS 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

NeurIPS 2025 Robust Label Proportions Learning Jueyu Chen, Wantao Wen, Yeqiang Wang, Erliang Lin, Yemin Wang, Yuheng Jia

ICLR 2025 Towards Calibrated Deep Clustering Network Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou

NeurIPS 2025 You Can Trust Your Clustering Model: A Parameter-Free Self-Boosting Plug-in for Deep Clustering Hanyang Li, Yuheng Jia, Hui Liu, Junhui Hou

IJCAI 2024 Exploiting Multi-Label Correlation in Label Distribution Learning Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng

IJCAI 2024 Label Distribution Learning from Logical Label Yuheng Jia, Jiawei Tang, Jiahao Jiang

AAAI 2024 Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang

NeurIPS 2023 Partial Label Learning with Dissimilarity Propagation Guided Candidate Label Shrinkage Yuheng Jia, Fuchao Yang, Yongqiang Dong

AAAI 2021 Clustering Ensemble Meets Low-Rank Tensor Approximation Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang