| 2025 | ECAI | User-Centric Question Answering with Explanation for Industrial System Information Modelling. | Yan Zhou, Baifan Zhou, Qianhang Lyu, Arild Waaler, Ingrid Chieh Yu |
| 2023 | ICTAC | Modular Soundness Checking of Feature Model Evolution Plans. | Ida Sandberg Motzfeldt, Ingrid Chieh Yu, Crystal Chang Din, Violet Ka I Pun, Volker Stolz |
| 2022 | ICDM | Interpreting Categorical Data Classifiers using Explanation-based Locality. | Peyman Rasouli, Ingrid Chieh Yu, Ernesto Jimnez-Ruiz |
| 2021 | ICMLA | Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations. | Peyman Rasouli, Ingrid Chieh Yu |
| 2021 | IJCNN | Explainable Debugger for Black-box Machine Learning Models. | Peyman Rasouli, Ingrid Chieh Yu |
| 2021 | ICSOC | Boreas - A Service Scheduler for Optimal Kubernetes Deployment. | Torgeir Lebesbye, Jacopo Mauro, Gianluca Turin, Ingrid Chieh Yu |
| 2020 | IJCNN | EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation. | Peyman Rasouli, Ingrid Chieh Yu |
| 2020 | SPLC | Consistency-preserving evolution planning on feature models. | Adrian Hoff, Michael Nieke, Christoph Seidl, Eirik Halvard Sther, Ida Sandberg Motzfeldt, Crystal Chang Din, Ingrid Chieh Yu, Ina Schaefer |
| 2019 | IDEAL | Meaningful Data Sampling for a Faithful Local Explanation Method. | Peyman Rasouli, Ingrid Chieh Yu |
| 2018 | AINA | Modeling and Simulation of Spark Streaming. | Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen |
| 2018 | GPCE | Anomaly analyses for feature-model evolution. | Michael Nieke, Jacopo Mauro, Christoph Seidl, Thomas Thm, Ingrid Chieh Yu, Felix Franzke |
| 2017 | SPLC | Anomaly Detection and Explanation in Context-Aware Software Product Lines. | Jacopo Mauro, Michael Nieke, Christoph Seidl, Ingrid Chieh Yu |
| 2016 | FASE | ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. | Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee |
| 2016 | ISoLA | Introduction to the Track on Variability Modeling for Scalable Software Evolution. | Ferruccio Damiani, Christoph Seidl, Ingrid Chieh Yu |
| 2016 | ISoLA | Comparing AWS Deployments Using Model-Based Predictions. | Einar Broch Johnsen, Jia-Chun Lin, Ingrid Chieh Yu |
| 2016 | ISoLA | User Profiles for Context-Aware Reconfiguration in Software Product Lines. | Michael Nieke, Jacopo Mauro, Christoph Seidl, Ingrid Chieh Yu |
| 2016 | MODELS | Towards a categorical approach for meta-modelling epistemic game theory. | Fazle Rabbi, Yngve Lamo, Ingrid Chieh Yu |
| 2016 | MODELSWARD | WebDPF: A Web-based Metamodelling and Model Transformation Environment. | Fazle Rabbi, Yngve Lamo, Ingrid Chieh Yu, Lars Michael Kristensen |
| 2015 | MODELS | A Diagrammatic Approach to Model Completion. | Fazle Rabbi, Yngve Lamo, Ingrid Chieh Yu, Lars Michael Kristensen |
| 2015 | MODELSWARD | A Formalisation of Analysis-based Model Migration. | Ingrid Chieh Yu, Henning Berg |
| 2015 | MODELSWARD | A Framework for Metamodel Composition and Adaptation with Conformance-Preserving Model Migration. | Ingrid Chieh Yu, Henning Berg |
| 2012 | ISoLA | Tracking Behavioral Constraints during Object-Oriented Software Evolution. | Johan Dovland, Einar Broch Johnsen, Ingrid Chieh Yu |
| 2012 | SPLC | A transformational proof system for delta-oriented programming. | Ferruccio Damiani, Olaf Owe, Johan Dovland, Ina Schaefer, Einar Broch Johnsen, Ingrid Chieh Yu |
| 2009 | FM | Dynamic Classes: Modular Asynchronous Evolution of Distributed Concurrent Objects. | Einar Broch Johnsen, Marcel Kyas, Ingrid Chieh Yu |
| 2004 | SMC | Large scale construction of railroad models from specifications. | Anders Moen Hagalisletto, Ingrid Chieh Yu |