Feijiang Li

42 papers A* 14B 1Misc 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity.
Inf. Fusion
Liang Du, Yukai Shi, Yan Chen, Feijiang Li, Peng Zhou, Lei Duan, Yuhua Qian
2026 A* conf
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting.
AAAI
Jieting Wang, Huimei Shi, Feijiang Li, Xiaolei Shang
2026 J jnl
M3D: A Benchmark Dataset and Model for Microscopic 3D Shape Reconstruction.
IEEE Trans. Image Process.
Tao Yan, Yingying Wang, Yuhua Qian, Jiangfeng Zhang, Feijiang Li, Peng Wu, Lu Chen, Jieru Jia, Xiaoying Guo
2026 J jnl
MCSS: Discovering Consistently Determined Relation in Multi-View Clustering Based on Sample's Stability.
ACM Trans. Knowl. Discov. Data
Feijiang Li, Xin Liu, Jieting Wang, Yuhua Qian
2026 A* conf
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting.
AAAI
Jieting Wang, Xiaolei Shang, Feijiang Li, Furong Peng
2026 — conf
Vertical Federated K-Means for Multi-View Data Guided by a K-Means Cost Bound after Projection.
KDD (1)
Feijiang Li, Jinhao Jiang, Jieting Wang, Liang Du, Yuhua Qian
2025 J jnl
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting.
CoRR
Jieting Wang, Huimei Shi, Feijiang Li, Xiaolei Shang
2025 J jnl
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection.
IEEE Trans. Big Data
Tao Li, Yuhua Qian, Feijiang Li, Xinyan Liang, Zhi-Hui Zhan
2025 A* conf
Frequency-Aware Deep Depth from Focus.
IJCAI
Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li
2025 J jnl
Hybrid Causal Identification and Causal Mechanism Clustering.
CoRR
Saixiong Liu, Yuhua Qian, Jue Li, Honghong Cheng, Feijiang Li
2025 B conf
Quantifying Information in Similarity Matrices for Improved Representation Learning.
IJCNN
Zelong Zhang, Zhuhui Han, Jieting Wang, Feijiang Li
2025 J jnl
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting.
CoRR
Jieting Wang, Xiaolei Shang, Feijiang Li, Furong Peng
2025 J jnl
RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data.
IEEE Trans. Neural Networks Learn. Syst.
Jieting Wang, Feijiang Li, Jue Li, Chenping Hou, Yuhua Qian, Jiye Liang
2025 J jnl
Ranked Set Sampling-Based Multilayer Perceptron: Improving Generalization via Variance-Based Bounds.
CoRR
Feijiang Li, Liuya Zhang, Jieting Wang, Tao Yan, Yuhua Qian
2025 A* conf
Robust Automatic Modulation Classification with Fuzzy Regularization.
ICML
Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du
2025 A* conf
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label.
AAAI
Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li
2025 A* conf
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization.
AAAI
Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian
2025 A* conf
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency.
ICML
Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang
2025 A* conf
Trusted Multi-View Classification with Expert Knowledge Constraints.
ICML
Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li
2025 A* conf
View-Association-Guided Dynamic Multi-View Classification.
IJCAI
Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen
2025 A* conf
k-HyperEdge Medoids for Clustering Ensemble.
AAAI
Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du
2024 A* conf
Cross-Domain Contrastive Learning for Time Series Clustering.
AAAI
Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li
2024 A* conf
Deep Embedding Clustering Driven by Sample Stability.
IJCAI
Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian
2024 J jnl
Deep Embedding Clustering Driven by Sample Stability.
CoRR
Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian
2024 A* conf
Neural Collapse To Multiple Centers For Imbalanced Data.
NeurIPS
HongRen Yan, Yuhua Qian, Furong Peng, Jiachen Luo, Zheqing Zhu, Feijiang Li
2024 J jnl
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion.
CoRR
Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian
2024 J jnl
k-HyperEdge Medoids for Clustering Ensemble.
CoRR
Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du
2023 J jnl
Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation.
IEEE Trans. Fuzzy Syst.
Feijiang Li, Jieting Wang, Yuhua Qian, Guoqing Liu, Keqi Wang
2023 J jnl
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang
2022 J jnl
Clustering mixed type data: a space structure-based approach.
Int. J. Mach. Learn. Cybern.
Feijiang Li, Yuhua Qian, Jieting Wang, Furong Peng, Jiye Liang
2021 A* conf
GoT: a Growing Tree Model for Clustering Ensemble.
AAAI
Feijiang Li, Yuhua Qian, Jieting Wang
2021 J jnl
Image deep clustering based on local-topology embedding.
Pattern Recognit. Lett.
Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo
2020 J jnl
Fusing Fuzzy Monotonic Decision Trees.
IEEE Trans. Fuzzy Syst.
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding
2020 J jnl
Learning with mitigating random consistency from the accuracy measure.
Mach. Learn.
Jieting Wang, Yuhua Qian, Feijiang Li
2019 J jnl
Clustering ensemble based on sample's stability.
Artif. Intell.
Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing
2019 — conf
Prototype Propagation Clustering Based on Large Margin.
ICDM Workshops
Feijiang Li, Yuhua Qian, Jieting Wang
2018 J jnl
Cluster's Quality Evaluation and Selective Clustering Ensemble.
ACM Trans. Knowl. Discov. Data
Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu
2017 J jnl
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.
Inf. Sci.
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
2016 J jnl
Space Structure and Clustering of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst.
Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang
2015 Misc conf
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method.
ICMLC
Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
2015 J jnl
一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints).
计算机科学
Honghong Cheng, Xiaoqin Zhang, Feijiang Li, Yuhua Qian
2014 J jnl
Set-based granular computing: A lattice model.
Int. J. Approx. Reason.
Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang