| 2026 | KSEM | Estimating Representation Drift for Prompt-Based Class-Incremental Learning. | Yuting Hou, Rongyu Zhu, Junjie Liu, Kedian Mu |
| 2024 | ICASSP | Prompting to Prompt for Rehearsal-Free Class Incremental Learning. | Guangzhi Zhao, Yuting Hou, Kedian Mu |
| 2023 | DASFAA | Enlarge the Hidden Distance: A More Distinctive Embedding to Tell Apart Unknowns for Few-Shot Learning. | Zhaochen Li, Kedian Mu |
| 2023 | IJCNN | Mutually Promoted Hierarchical Learning for Incremental Implicitly-Refined Classification. | Guangzhi Zhao, Yuting Hou, Kedian Mu |
| 2023 | IJCNN | Connection-Based Knowledge Transfer for Class Incremental Learning. | Guangzhi Zhao, Kedian Mu |
| 2021 | ECSQARU | The Degree of Conflict Between Formulas in an Inconsistent Knowledge Base. | Kedian Mu |
| 2021 | KSEM | Integrating Task Information into Few-Shot Classifier by Channel Attention. | Zhaochen Li, Kedian Mu |
| 2021 | KSEM | The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency. | Kedian Mu |
| 2020 | DASFAA | Aspect-Level Attributed Network Embedding via Variational Graph Neural Networks. | Hengliang Wang, Kedian Mu |
| 2020 | IJCAI | Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP (Extended Abstract). | Kedian Mu |
| 2020 | ICTAI | Heterogeneous Information Diffusion Model for Social Recommendation. | Yuan Li, Kedian Mu |
| 2020 | ICTAI | Meta-path Embedding based Recommendation over Heterogeneous Information Network. | Chenfei Zhao, Kedian Mu |
| 2019 | COMPSAC | Matrix Factorization Model with Dual Preferences for Rating Prediction. | Yuan Li, Kedian Mu |
| 2019 | DASFAA | Combining Meta-Graph and Attention for Recommendation over Heterogenous Information Network. | Chenfei Zhao, Hengliang Wang, Yuan Li, Kedian Mu |
| 2019 | ICTAI | A Meta-Strategy Enhancement for Network Embedding. | Hengliang Wang, Yuan Li, Chenfei Zhao, Yi Zhang, Kedian Mu |
| 2019 | KSEM | Multi-attention Item Recommendation Model Based on Social Relations. | Yuan Li, Kedian Mu |
| 2019 | KSEM | A Causality-Based Approach to Assessing Inconsistency for Multi-context Systems. | Kedian Mu |
| 2019 | PRICAI | An Approach with Low Redundancy to Network Feature Selection Based on Multiple Order Proximity. | Hengliang Wang, Yuan Li, Chenfei Zhao, Kedian Mu |
| 2018 | KSEM | A Semantic Path-Based Similarity Measure for Weighted Heterogeneous Information Networks. | Chunxue Yang, Chenfei Zhao, Hengliang Wang, Riming Qiu, Yuan Li, Kedian Mu |
| 2011 | KSEM | An Approach to Generating Proposals for Handling Inconsistent Software Requirements. | Kedian Mu, Weiru Liu, Zhi Jin |
| 2009 | KSEM | Verifying Software Requirements Based on Answer Set Programming. | Kedian Mu, Qi Zhang, Zhi Jin |
| 2008 | APSEC | A Measurement-Driven Process Model for Managing Inconsistent Software Requirements. | Kedian Mu, Zhi Jin, Didar Zowghi |
| 2007 | FORTE | Identifying Acceptable Common Proposals for Handling Inconsistent Software Requirements. | Kedian Mu, Zhi Jin |
| 2007 | KSEM | A Merging-Based Approach to Handling Inconsistency in Locally Prioritized Software Requirements. | Kedian Mu, Weiru Liu, Zhi Jin, Ruqian Lu, Anbu Yue, David A. Bell |
| 2006 | PRICAI | Reasoning About Hybrid Probabilistic Knowledge Bases. | Kedian Mu, Zuoquan Lin, Zhi Jin, Ruqian Lu |
| 2005 | ECSQARU | Measuring Inconsistency in Requirements Specifications. | Kedian Mu, Zhi Jin, Ruqian Lu, Weiru Liu |