| 2025 | ICST | DRVN at the ICST 2025 Tool Competition - Self-Driving Car Testing Track. | Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella |
| 2025 | RecSys | Feedback-Driven Gradual Discovery for Expanding Musical Preferences. | Alec Nonnemaker, Ralvi Isufaj, Zoltn Szlvik, Cynthia C. S. Liem |
| 2025 | SSBSE | The Pursuit of Diversity: Multi-objective Testing of Deep Reinforcement Learning Agents. | Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella |
| 2024 | AAAI | Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. | Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen, Cynthia C. S. Liem |
| 2024 | CBMI | A Quest Through Interconnected Datasets: Lessons From Highly-Cited ICASSP Papers. | Cynthia C. S. Liem, Doga Tascilar, Andrew M. Demetriou |
| 2024 | ICML | Position: Stop Making Unscientific AGI Performance Claims. | Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem |
| 2023 | ICSE | On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples. | Antony Bartlett, Cynthia C. S. Liem, Annibale Panichella |
| 2023 | ICSE | Treat societally impactful scientific insights as open-source software artifacts. | Cynthia C. S. Liem, Andrew M. Demetriou |
| 2023 | RecSys | Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On? | Andra-Georgiana Sav, Andrew M. Demetriou, Cynthia C. S. Liem |
| 2022 | WWW | Scriptoria: A Crowd-powered Music Transcription System. | Ioannis Petros Samiotis, Christoph Lofi, Shaad Alaka, Cynthia C. S. Liem, Alessandro Bozzon |
| 2021 | ICSE | What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. | Annibale Panichella, Cynthia C. S. Liem |
| 2020 | ICSE | Oracle Issues in Machine Learning and Where to Find Them. | Cynthia C. S. Liem, Annibale Panichella |
| 2019 | RecSys | Spotivibes: Tagging Playlist Vibes with Colors. | Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios, Cynthia C. S. Liem |
| 2019 | RecSys | The influence of personal values on music taste: towards value-based music recommendations. | Sandy Manolios, Alan Hanjalic, Cynthia C. S. Liem |
| 2019 | RecSys | Towards Creating a Non-synthetic Group Recommendation Dataset. | Matthijs Rijlaarsdam, Sebastiaan Scholten, Cynthia C. S. Liem |
| 2018 | RecSys | Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. | Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic |
| 2018 | WWW | Transfer Learning of Artist Group Factors to Musical Genre Classification. | Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem |
| 2017 | CVPR | Human-Explainable Features for Job Candidate Screening Prediction. | Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem |
| 2016 | CBMI | A dataset of multimedia material about classical music: PHENICX-SMM. | Markus Schedl, David Hauger, Marko Tkalcic, Mark S. Melenhorst, Cynthia C. S. Liem |
| 2016 | MMSys | A personality-based adaptive system for visualizing classical music performances. | Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustn Martorell, Oscar Mayor, Marko Tkalcic |
| 2014 | ECAI | The Piano Music Companion. | Andreas Arzt, Sebastian Bck, Sebastian Flossmann, Harald Frostel, Martin Gasser, Cynthia C. S. Liem, Gerhard Widmer |
| 2013 | MMSys | A professionally annotated and enriched multimodal data set on popular music. | Markus Schedl, Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters |