| 2026 | AAAI | DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning. | Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia |
| 2026 | AAAI | Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance. | Jiecheng Jiang, Jiawei Tang, Jiahao Jiang, Hui Liu, Junhui Hou, Yuheng Jia |
| 2026 | AAAI | ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering. | Xinyue Wang, Yuheng Jia, Hui Liu, Junhui Hou |
| 2026 | ACL | CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters. | Ao Sun, Xiaoyu Wang, Zhe Tan, Yu Li, Jiachen Zhu, Yuheng Jia, Shu Su |
| 2025 | AAAI | Calibrated Disambiguation for Partial Multi-label Learning. | Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao |
| 2025 | ACL | Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. | Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang |
| 2025 | EMNLP | Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation. | Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang |
| 2025 | ICCV | Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels. | Yuhang Li, Zhuying Li, Yuheng Jia |
| 2025 | ICLR | Towards Calibrated Deep Clustering Network. | Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou |
| 2025 | ICLR | ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering. | Zhixin Li, Yuheng Jia |
| 2025 | ICLR | Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement. | Yuhang Li, Zhuying Li, Yuheng Jia |
| 2025 | ICLR | Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. | Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang |
| 2025 | ICML | A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning. | Yaxin Hou, Yuheng Jia |
| 2025 | ICML | Learning from Sample Stability for Deep Clustering. | Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou |
| 2025 | ICML | Concentration Distribution Learning from Label Distributions. | Jiawei Tang, Yuheng Jia |
| 2025 | ICML | Generalization Performance of Ensemble Clustering: From Theory to Algorithm. | Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia |
| 2025 | IJCAI | Partial Label Clustering. | Yutong Xie, Fuchao Yang, Yuheng Jia |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning. | Fuchao Yang, Jianhong Cheng, Hui Liu, Yongqiang Dong, Yuheng Jia, Junhui Hou |
| 2024 | AAAI | Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. | Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang |
| 2024 | IJCAI | Label Distribution Learning from Logical Label. | Yuheng Jia, Jiawei Tang, Jiahao Jiang |
| 2024 | IJCAI | Exploiting Multi-Label Correlation in Label Distribution Learning. | Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng |
| 2024 | KDD | FairMatch: Promoting Partial Label Learning by Unlabeled Samples. | Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou |
| 2024 | KDD | Noisy Label Removal for Partial Multi-Label Learning. | Fuchao Yang, Yuheng Jia, Hui Liu, Yongqiang Dong, Junhui Hou |
| 2024 | SMC | On the Adversarial Robustness of Hierarchical Classification. | Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang |
| 2023 | ICMLC | Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. | Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang |
| 2023 | KDD | Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. | Yuheng Jia, Jiahao Jiang, Yongheng Wang |
| 2023 | KDD | Complementary Classifier Induced Partial Label Learning. | Yuheng Jia, Chongjie Si, Min-Ling Zhang |
| 2021 | AAAI | Clustering Ensemble Meets Low-rank Tensor Approximation. | Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang |
| 2017 | GECCO | Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. | Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang |
| 2016 | ICMLC | Multiscale phase congruency analysis for image edge visual saliency detection. | Wei Gao, Sam Kwong, Yu Zhou, Yuheng Jia, Jia Zhang, Wenhui Wu |