| 2025 | ICML | All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. | Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi |
| 2024 | ICLR | EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations. | Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt |
| 2023 | ICLR | Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs. | Yi-Lun Liao, Tess E. Smidt |
| 2022 | ICASSP | On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. | Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass |
| 2021 | CVPR | NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. | Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze |
| 2019 | ICASSP | Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency. | Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang |