| 2025 | ECIR | Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition. | Karn N. Watcharasupat, Yiwei Ding, T. Aleksandra Ma, Pavan Seshadri, Alexander Lerch |
| 2024 | ICASSP | Embedding Compression for Teacher-to-Student Knowledge Transfer. | Yiwei Ding, Alexander Lerch |
| 2024 | ICASSP | ASPED: An Audio Dataset for Detecting Pedestrians. | Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch |
| 2024 | ICASSP | Quantifying Spatial Audio Quality Impairment. | Karn N. Watcharasupat, Alexander Lerch |
| 2023 | ICASSP | Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. | Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch |
| 2023 | IUI | MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. | Peter Knees, Alexander Lerch |
| 2023 | MMM | Music Instrument Classification Reprogrammed. | Hsin-Hung Chen, Alexander Lerch |
| 2021 | ICASSP | Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music Listening. | Ashvala Vinay, Alexander Lerch, Grace Leslie |
| 2021 | ISM | Semi-Supervised Audio Classification with Partially Labeled Data. | Siddharth Gururani, Alexander Lerch |
| 2020 | ISM | Melody-Conditioned Lyrics Generation with SeqGANs. | Yihao Chen, Alexander Lerch |
| 2020 | ISM | Remixing Music with Visual Conditioning. | Li-Chia Yang, Alexander Lerch |
| 2019 | ICASSP | Tuning Frequency Dependency in Music Classification. | Yi Qin, Alexander Lerch |
| 2017 | ICDM | Learning to Fuse Music Genres with Generative Adversarial Dual Learning. | Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu |
| 2016 | SIGIR | An Unsupervised Approach to Anomaly Detection in Music Datasets. | Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch |