| 2026 | AAAI | Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion. | Zikun Jin, Yuhua Qian, Xinyan Liang, Jiaqian Zhang, Jinpeng Yuan, Shen Hu, Haijun Geng, Honghong Cheng |
| 2026 | AAAI | Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels. | Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou |
| 2026 | KDD | Vertical Federated K-Means for Multi-View Data Guided by a K-Means Cost Bound after Projection. | Feijiang Li, Jinhao Jiang, Jieting Wang, Liang Du, Yuhua Qian |
| 2025 | AAAI | Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. | Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian |
| 2025 | AAAI | k-HyperEdge Medoids for Clustering Ensemble. | Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du |
| 2025 | ICASSP | Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering. | Zhiguo Hu, Ning Wang, Peng Zhou, Liang Du, Yuhua Qian, Cheng Wang, Yanming Zhang |
| 2025 | ICASSP | Consensus Graph Filter Learning for Multiple Graph Clustering. | Jiale Zou, Yan Chen, Peng Zhou, Chao Wen, Liang Du, Yuhua Qian |
| 2025 | ICCV | PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement. | Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang |
| 2025 | ICLR | Trusted Multi-View Classification via Evolutionary Multi-View Fusion. | Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu |
| 2025 | ICML | Robust Automatic Modulation Classification with Fuzzy Regularization. | Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du |
| 2025 | ICML | Trusted Multi-View Classification with Expert Knowledge Constraints. | Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li |
| 2025 | ICML | Stabilizing Sample Similarity in Representation via Mitigating Random Consistency. | Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang |
| 2025 | IJCAI | A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing. | Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang |
| 2025 | IJCAI | A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform. | Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng |
| 2025 | IJCAI | Frequency-Aware Deep Depth from Focus. | Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li |
| 2024 | AAAI | DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. | Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian |
| 2024 | AAAI | Learning Multi-Task Sparse Representation Based on Fisher Information. | Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang |
| 2024 | ICASSP | Local and Global Feature Adaptive Adjustment Network for Remote Sensing Image Scene Classification. | Feng Cao, Chang Liu, Deyu Li, Yuhua Qian, Chao Zhang, Hu Zhang |
| 2024 | IJCAI | Deep Embedding Clustering Driven by Sample Stability. | Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian |
| 2024 | IJCAI | Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. | Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian |
| 2024 | IJCAI | PHSIC against Random Consistency and Its Application in Causal Inference. | Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu |
| 2024 | KDD | TSC: A Simple Two-Sided Constraint against Over-Smoothing. | Furong Peng, Kang Liu, Xuan Lu, Yuhua Qian, HongRen Yan, Chao Ma |
| 2023 | ICANN | Adaptive Randomized Graph Neural Network Based on Markov Diffusion Kernel. | Qianli Ma, Zheng Fan, Chenzhi Wang, Yuhua Qian |
| 2023 | ICANN | Adaptive Propagation Network Based on Multi-scale Information Fusion. | Qianli Ma, Chenzhi Wang, Zheng Fan, Yuhua Qian |
| 2021 | AAAI | GoT: a Growing Tree Model for Clustering Ensemble. | Feijiang Li, Yuhua Qian, Jieting Wang |
| 2019 | ICDM | Mining Logic Patterns from Visual Data. | Qian Guo, Yuhua Qian, Xinyan Liang |
| 2019 | ICDM | Prototype Propagation Clustering Based on Large Margin. | Feijiang Li, Yuhua Qian, Jieting Wang |
| 2017 | ICDM | Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. | Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang |
| 2015 | ICDM | Experimental Design with Multiple Kernels. | Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen |
| 2015 | ICMLC | Cognitive concept learning via granular computing for big data. | Jinhai Li, Chenchen Huang, Weihua Xu, Yuhua Qian, Wenqi Liu |
| 2015 | ICMLC | Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. | Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang |
| 2012 | GRC | Variable precision multi-granulation rough set. | Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang |
| 2011 | SMC | How to organize data with measurement errors? | Yuhua Qian, Jiye Liang |
| 2010 | GRC | On Partial Order Relations in Granular Computing. | Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei |
| 2010 | ICMLC | A heuristic method to attribute reduction for concept lattice. | Junhong Wang, Jiye Liang, Yuhua Qian |
| 2008 | GRC | Granulation Operators on a Knowledge Base. | Yuhua Qian, Jiye Liang, Wei Wei |
| 2008 | GRC | Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions. | Wei Wei, Jiye Liang, Yuhua Qian |
| 2007 | GRC | MGRS in Incomplete Information Systems. | Yuhua Qian, Jiye Liang, Chuangyin Dang |