| 2025 | ICLR | AnoLLM: Large Language Models for Tabular Anomaly Detection. | Che-Ping Tsai, Ganyu Teng, Phillip Wallis, Wei Ding |
| 2025 | ICML | Contextures: Representations from Contexts. | Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2024 | ICCAD | An Effective ECO Methodology for Reducing Back-side Design Rule Violations in Double-sided Signal Routing. | Che-Ping Tsai, Fang-Yu Hsu, Wai-Kei Mak, Ting-Chi Wang |
| 2023 | ICML | Representer Point Selection for Explaining Regularized High-dimensional Models. | Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar |
| 2022 | AISTATS | Heavy-tailed Streaming Statistical Estimation. | Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar |
| 2020 | AAAI | Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification. | Che-Ping Tsai, Hung-yi Lee |
| 2019 | ICASSP | Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification. | Che-Ping Tsai, Hung-yi Lee |
| 2019 | Interspeech | Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models. | Kuan-Yu Chen, Che-Ping Tsai, Da-Rong Liu, Hung-yi Lee, Lin-Shan Lee |
| 2018 | ICASSP | Transcribing Lyrics from Commercial Song Audio: the First Step Towards Singing Content Processing. | Che-Ping Tsai, Yi-Lin Tuan, Lin-Shan Lee |