| 2026 | AAAI | Semantic-Aware Feature Enhancement for Partial Label Learning. | Haowei Mei, Chao Zhang, Wentao Fan, Xiuyi Jia, Chunlin Chen, Huaxiong Li |
| 2026 | AAAI | Learning Label Distribution with Dirichlet Process Mixture Model. | Minglong Wang, Weiwei Li, Yunan Lu, Xiuyi Jia |
| 2025 | AAAI | Adaptive-Grained Label Distribution Learning. | Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia |
| 2025 | ECAI | Local Information Matters: A Rethink of Crowd Counting. | Tianhang Pan, Xiuyi Jia |
| 2025 | ECAI | Boosting Adverse Weather Crowd Counting via Multi-Queue Contrastive Learning. | Tianhang Pan, Xiuyi Jia |
| 2025 | ICIG | MFMamba: Multiple Fusing Mamba Network for Hyperspectral Image Pansharpening. | Zihao Wang, Xiuyi Jia |
| 2025 | ICML | Approximately Correct Label Distribution Learning. | Weiwei Li, Haitao Wu, Yunan Lu, Xiuyi Jia |
| 2025 | ICML | LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning. | Xiuyi Jia, Jinchi Li, Yunan Lu, Weiwei Li |
| 2025 | ICML | Divide and Conquer: Learning Label Distribution with Subtasks. | Haitao Wu, Weiwei Li, Xiuyi Jia |
| 2024 | AAAI | Generative Calibration of Inaccurate Annotation for Label Distribution Learning. | Liang He, Yunan Lu, Weiwei Li, Xiuyi Jia |
| 2024 | AAAI | Learning Cluster-Wise Anchors for Multi-View Clustering. | Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li |
| 2024 | ICASSP | Frequency Aware and Graph Fusion Network for Polyp Segmentation. | Yan Li, Zhuoran Zheng, Wenqi Ren, Yunfeng Nie, Jingang Zhang, Xiuyi Jia |
| 2024 | IJCAI | Continual Multi-View Clustering with Consistent Anchor Guidance. | Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li |
| 2024 | IJCNN | CLGNN: UAV Fault Diagnosis via Causal Learning and Graph Neural Network. | Jun Yao, Weiwei Li, Zhuoran Zheng, Xiuyi Jia |
| 2024 | UAI | Trusted re-weighting for label distribution learning. | Zhuoran Zheng, Chen Wu, Yeying Jin, Xiuyi Jia |
| 2023 | AAAI | Generative Label Enhancement with Gaussian Mixture and Partial Ranking. | Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia |
| 2023 | IJCAI | Label Enhancement via Joint Implicit Representation Clustering. | Yunan Lu, Weiwei Li, Xiuyi Jia |
| 2023 | IROS | Image Restoration via UAVFormer for Under-Display Camera of UAV. | Zhuoran Zheng, Xiuyi Jia |
| 2023 | IWDW | Dual-Domain Learning Network for Polyp Segmentation. | Yan Li, Zhuoran Zheng, Wenqi Ren, Yunfeng Nie, Jingang Zhang, Xiuyi Jia |
| 2022 | ACCV | UHD Underwater Image Enhancement via Frequency-Spatial Domain Aware Network. | Yiwen Wei, Zhuoran Zheng, Xiuyi Jia |
| 2022 | PAKDD | ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model. | Haoyu Zhu, Xiuyi Jia, Changdong Zhang, Tingting Liu |
| 2021 | CVPR | Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. | Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia |
| 2021 | ICCV | Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning. | Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Tao Wang, Xiuyi Jia |
| 2020 | IJCAI | Tensor-based multi-view label enhancement for multi-label learning. | Fangwen Zhang, Xiuyi Jia, Weiwei Li |
| 2020 | IJCAI | Privileged label enhancement with multi-label learning. | Wenfang Zhu, Xiuyi Jia, Weiwei Li |
| 2020 | IJCNN | Multi-Label Learning with Local Similarity of Samples. | Wenfang Zhu, Weiwei Li, Xiuyi Jia |
| 2019 | CVPR | Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. | Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li |
| 2019 | IJCAI | Label distribution learning with label-specific features. | Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li |
| 2019 | IJCAI | Label Distribution Learning with Label Correlations via Low-Rank Approximation. | Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao |
| 2019 | PAKDD | Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction. | Wenzhou Zhang, Weiwei Li, Xiuyi Jia |
| 2018 | AAAI | Label Distribution Learning by Exploiting Label Correlations. | Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang |
| 2018 | AAAI | Label Distribution Learning by Exploiting Sample Correlations Locally. | Xiang Zheng, Xiuyi Jia, Weiwei Li |
| 2017 | ICIG | Adaptive Density Optimization of Lattice Structures Sustaining the External Multi-load. | Li Shi, Changdong Zhang, Tingting Liu, Wenhe Liao, Xiuyi Jia |
| 2017 | KSEM | A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model. | Lu Wang, Weiwei Li, Xiuyi Jia, Bing Zhou |
| 2017 | MICCAI | Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. | Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen |
| 2016 | ICMLC | Minimum cost attribute reduction in three-way decisions based Bayesian network. | Xiuyi Jia, Huaxiong Li, Lin Shang |
| 2016 | ICNC | Minimum cost attribute reduction in incomplete systems under decision-theoretic rough set model. | Yimeng Zhang, Xiuyi Jia, Zhenming Tang |
| 2016 | PRICAI | Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning. | Junxin Tan, Mengting Xu, Lin Shang, Xiuyi Jia |
| 2015 | PAKDD | Sentiment Analysis on Microblogging by Integrating Text and Image Features. | Yaowen Zhang, Lin Shang, Xiuyi Jia |