| 2026 | AAAI | Transferable Graph Condensation from the Causal Perspective. | Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang, Jinshi Zhang, Han Ji, Yu Zhao, Guisong Liu, Hegui Zhang, Carl Yang, Gang Kou |
| 2026 | AAAI | CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations. | Guanyuan Yu, Yijun Chen, Liang Xu, Gang Kou |
| 2026 | PAKDD | A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective. | Huaming Du, Cancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao |
| 2026 | WWW | Traceable Latent Variable Discovery Based on Multi-Agent Collaboration. | Huaming Du, Tao Hu, Yijie Huang, Yu Zhao, Guisong Liu, Tao Gu, Gang Kou, Carl Yang |
| 2025 | EMNLP | Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training. | Huaming Du, Lei Yuan, Cancan Feng, Guisong Liu, Gang Kou, Carl Yang |
| 2025 | KDD | Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning. | Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang |
| 2024 | KDD | Representation Learning of Temporal Graphs with Structural Roles. | Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou |
| 2023 | AAAI | Attribute and Structure Preserving Graph Contrastive Learning. | Jialu Chen, Gang Kou |
| 2022 | ICML | Role-based Multiplex Network Embedding. | Hegui Zhang, Gang Kou |
| 2019 | CoDIT | Organizing Internet opinions to improve their usefulness using Fuzzy Ontologies and sentiment analysis. | Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, Gang Kou, C. Pang, Sergio Alonso, Enrique Herrera-Viedma |
| 2018 | SoMeT | Managing Multi-Criteria Group Decision Making Environments with High Number of Alternatives Using Fuzzy Ontologies. | Juan Antonio Morente-Molinera, Gang Kou, Rubn Gonzlez Crespo, Juan Manuel Corchado, Enrique Herrera-Viedma |
| 2009 | ICCS | Knowledge-Rich Data Mining in Financial Risk Detection. | Yi Peng, Gang Kou, Yong Shi |
| 2007 | ICCS | epsilon-Support Vector and Large-Scale Data Mining Problems. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2007 | ICCS | Application of Classification Methods to Individual Disability Income Insurance Fraud Detection. | Yi Peng, Gang Kou, Alan Sabatka, Jeff Matza, Zhengxin Chen, Deepak Khazanchi, Yong Shi |
| 2007 | ICDM | Feature Selection for Nonlinear Kernel Support Vector Machines. | Olvi L. Mangasarian, Gang Kou |
| 2006 | ICCS | A New Multi-criteria Convex Quadratic Programming Model for Credit Analysis. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICCS | Multiclass Credit Cardholders' Behaviors Classification Methods. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICDM | Network Intrusion Detection by Multi-group Mathematical Programming based Classifier. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICDM | A Systemic Framework for the Field of Data Mining and Knowledge Discovery. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2006 | ICDM | A Hybrid Strategy for Clustering Data Mining Documents. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2005 | ICCS | Improving Clustering Analysis for Credit Card Accounts Classification. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2004 | ICCS | Cross-Validation and Ensemble Analyses on Multiple-Criteria Linear Programming Classification for Credit Cardholder Behavior. | Yi Peng, Gang Kou, Zhengxin Chen, Yong Shi |
| 2003 | ICCS | A Set of Data Mining Models to Classify Credit Cardholder Behavior. | Gang Kou, Yi Peng, Yong Shi, Weixuan Xu |