【 2025】 A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform, IJCAI' 2025

Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng

【 2025】 A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing, IJCAI' 2025

Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang

【 2025】 Trusted Multi-View Classification with Expert Knowledge Constraints, ICML' 2025

Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li

【 2025】 Robust Automatic Modulation Classification with Fuzzy Regularization, ICML' 2025

Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li，Liang Du

【 2025】 Stabilizing Sample Similarity in Representation via Mitigating Random Consistency, ICML' 2025

Jieting Wang, ZhangZelong, Feijiang Li, Yuhua Qian, Xinyan Liang

【 2025】 Trusted Multi-View Classification via Evolutionary Multi-View Fusion, ICLR 2025

Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu

【 2024】 k-HyperEdge Medoids for Clustering Ensemble, AAAI'25

Feijiang Li, Jieting Wang, Liuya zhang, Yuhua Qian, Shuai jin, Tao Yan, Liang Du

【 2024】 Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization, AAAI'25

Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian

【 2024】 Neural Collapse to Subspaces for Imbalanced Learning, NeurIPS 2024

Hongren Yan，Yuhua Qian，Furong Peng，Jiachen Luo，Zheqing Zhu，Feijiang Li

【 2024】 CoMO-NAS: Core-Structures-Guided Multi-Objective Neural Architecture Search for Multi-Modal Classification, ACM MM 2024

Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Zhifang Wei, Wen Li

【 2024】 Fast and Scalable Incomplete Multi-View Clustering with Duality Optimal Graph Filtering, ACM MM 2024

Liang Du, Yukai Shi, Yan Chen, Peng Zhou, Yuhua Qian

【 2024】 A Progressive Skip Reasoning Fusion Method for Multi-Modal Classification (Oral), ACM MM 2024

Qian Guo, Xinyan Liang, Yuhua Qian, Zhihua Cui, Jie Wen

【 2024】 PHSIC Against Random Consistency and Its Application in Causal Inference, IJCAI 2024

Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu

【 2024】 Deep Embedding Clustering Driven by Sample Stability, IJCAI 2024

Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian

【 2024】 Core-Structures-Guided Multi-Modal Classification Neural Architecture Search, IJCAI 2024

Pinhan Fu,Xinyan Liang,Tingjin Luo,Qian Guo,Yayu Zhang,Yuhua Qian

【 2024】 Learning Multi-Task Sparse Representation Based on Fisher Information, AAAI'24

Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu , Qingfu Zhang

【 2024】 DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification, AAAI'24

Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian

【 2015】 Experimental Design With Multiple Kernels, ICDM 2015

Hanmo Wang, Liang Du, Lei Shi, Peng Zhou, Yuhua Qian, Yi-Dong Shen