Incremental Attribute Reduction Based on Elementary Sets. - Feng Hu 001; Guoyin Wang 001; Hai Huang; Yu Wu 001 (RSFDGrC (1), 2005)

A Fault Diagnosis Prototype System Based on Causality Diagram. - Xinghua Fan; Feng Hu 001; Simon X. Yang (ICIC (2), 2006)

Quick Knowledge Reduction Based on Divide and Conquer Method in Huge Data Sets. - Guoyin Wang 001; Feng Hu 001 (PReMI, 2007)

Attribute Core Computation Based on Divide and Conquer Method. - Feng Hu 001; Guoyin Wang 001; Ying Xia (RSEISP, 2007)

Huge Data Mining Based on Rough Set Theory and Granular Computing. - Feng Hu 001; Guoyin Wang 001 (Web Intelligence/IAT Workshops, 2008)

Fast Knowledge Reduction Algorithms Based on Quick Sort. - Feng Hu 001; Guoyin Wang 001; Lin Feng 003 (RSKT, 2008)

RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. - Marcin Wojnarski; Andrzej Janusz; Hung Son Nguyen; Jan G. Bazan; Chuanjiang Luo; Ze Chen; Feng Hu 001; Guoyin Wang 001; Lihe Guan; Huan Luo (RSCTC, 2010)

An Improved Variable Precision Model of Dominance-Based Rough Set Approach. - Weibin Deng; Guoyin Wang 001; Feng Hu 001 (RSFDGrC, 2011)

A New Method for Inconsistent Multicriteria Classification. - Weibin Deng; Guoyin Wang 001; Shuangxia Yang; Feng Hu 001 (RSKT, 2011)

On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints. - Jerzy Blaszczynski; Weibin Deng; Feng Hu 001; Roman Slowinski; Marcin Szelag; Guoyin Wang 001 (IPMU (1), 2012)

Two-Step Gene Feature Selection Algorithm Based on Permutation Test. - Chuanjiang Luo; Guoyin Wang 001; Feng Hu 001 (RSCTC, 2012)

A stable gene selection method based on sample weighting. - Guoyin Wang 001; Juan Gao; Feng Hu 001 (CCECE, 2013)

Test-Cost-Sensitive Attribute Reduction in Decision-Theoretic Rough Sets. - Xi'ao Ma; Guoyin Wang 001; Hong Yu 007; Feng Hu 001 (MIWAI, 2013)

A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints. - Weibin Deng; Feng Hu 001; Guoyin Wang 001; Jerzy Blaszczynski; Roman Slowinski; Marcin Szelag (Fundam. Informaticae, 2013)

Fuzziness of rough sets generated by a covering. - Jun Hu 002; Feng Hu 001; Hong Yu 007 (FSKD, 2014)

An Incremental Clustering Approach Based on Three-Way Decisions. - Hong Yu 007; Cong Zhang; Feng Hu 001 (RSCTC, 2014)

Data-driven Valued Tolerance Relation Based on the Extended Rough Set. - Guoyin Wang 001; Lihe Guan; Wei-Zhi Wu 001; Feng Hu 001 (Fundam. Informaticae, 2014)

A rule induction algorithm in incomplete decision table based on attribute order. - Lihe Guan; Feng Hu 001; Fengqing Han (J. Intell. Fuzzy Syst., 2016)

Tag recommendation method in folksonomy based on user tagging status. - Hong Yu 007; Bing Zhou 002; Mingyao Deng; Feng Hu 001 (J. Intell. Inf. Syst., 2018)

基于Spark的点排序识别聚类结构算法 (Algorithm for Ordering Points to Identify Clustering Structure Based on Spark). - Yuan Qu; Weibin Deng; Feng Hu 001; Qilong Zhng; Hong Wang (计算机科学, 2018)

Extraction Method with Word Distribution Enriched Deep Residual Network. - Chilong Wang; Zhixing Li; Shiya Ren; Huaming Wang; Feng Hu 001; Weibing Deng (ICAIP, 2019)

Learning Multi-granular Features for Harvesting Knowledge from Free Text. - Zheng Zhou; Huaming Wang; Zhixing Li; Feng Hu 001; Guoyin Wang 001 (IJCRS, 2019)

Designing a Partially Understandable Neural Network through Semantic Embedding. - Chengfu Tang; Dawei Dai; Haoyue Bai; Guoyin Wang 001; Shuyin Xia; Feng Hu 001 (IJCNN, 2021)

Selective kernel networks for weakly supervised relation extraction. - Ziyang Li; Feng Hu 001; Chilong Wang; Weibin Deng; Qinghua Zhang (CAAI Trans. Intell. Technol., 2021)

A temporal-attribute attention neural network for mixed frequency data forecasting. - Peng Wu; Hong Yu 007; Feng Hu 001; Yongfang Xie (Int. J. Mach. Learn. Cybern., 2022)

Building Interpretable Deep CNN Based on Binary Tree Structure Convolution Layers. - Da Liu; Dawei Dai; Yuqi Wang; Feng Hu 001; Shuyin Xia; Guoyin Wang 001 (ICMAI, 2023)

Dynamic Emotion-Dependent Network With Relational Subgraph Interaction for Multimodal Emotion Recognition. - Ye Wang 006; Wei Zhang; Ke Liu 008; Wei Wu 022; Feng Hu 001; Hong Yu 007; Guoyin Wang 001 (IEEE Trans. Affect. Comput., 2025)

GCFA: Generative class feature fusion with agent attention for medical text classification. - Ye Wang 006; Qingyan Wang; Hong Yu 007; Jiang Xie 002; Feng Hu 001; Xiaoling Wang; Dajiang Lei (Inf. Fusion, 2026)