| 2024 | NAACL | Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky |
| 2024 | NAACL | Advancing Regular Language Reasoning in Linear Recurrent Neural Networks. | Ting-Han Fan, Ta-Chung Chi, Alexander Rudnicky |
| 2023 | ACL | Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. | Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge |
| 2023 | ACL | Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge |
| 2023 | EMNLP | Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge |
| 2022 | CISS | Safety Control for Prime Focus Spectrograph. | Ting-Han Fan, Athindran Ramesh Kumar, Peter J. Ramadge |
| 2022 | ICML | Training Discrete Deep Generative Models via Gapped Straight-Through Estimator. | Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J. Ramadge |
| 2021 | AISTATS | A Contraction Approach to Model-based Reinforcement Learning. | Ting-Han Fan, Peter J. Ramadge |
| 2018 | ICASSP | Rumor Source Detection: A Probabilistic Perspective. | Ting-Han Fan, I-Hsiang Wang |
| 2017 | GLOBECOM | A New Social Network Model of Online Forums. | Ting-Han Fan, Kwang-Cheng Chen |