Adaptively Banded Smith-Waterman Algorithm for Long Reads and Its Hardware Accelerator. - Yi-Lun Liao; Yu-Cheng Li; Nae-Chyun Chen; Yi-Chang Lu (ASAP, 2018)

Three-Dimensional Dynamic Programming Accelerator for Multiple Sequence Alignment. - Ruei-Ting Chien; Yi-Lun Liao; Chien-An Wang; Yu-Cheng Li; Yi-Chang Lu (NORCAS, 2018)

3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency. - Yi-Lun Liao; Yao-Cheng Yang; Yu-Chiang Frank Wang (CoRR, 2018)

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 (ICASSP, 2019)

NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. - Tien-Ju Yang; Yi-Lun Liao; Vivienne Sze (CVPR, 2021)

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. - Cheng-I Jeff Lai; Yang Zhang 001; Alexander H. Liu; Shiyu Chang; Yi-Lun Liao; Yung-Sung Chuang; Kaizhi Qian; Sameer Khurana; David D. Cox; James R. Glass (NeurIPS, 2021)

Searching for Efficient Multi-Stage Vision Transformers. - Yi-Lun Liao; Sertac Karaman; Vivienne Sze (CoRR, 2021)

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. - Cheng-I Jeff Lai; Erica Cooper; Yang Zhang 001; Shiyu Chang; Kaizhi Qian; Yi-Lun Liao; Yung-Sung Chuang; Alexander H. Liu; Junichi Yamagishi; David D. Cox; James R. Glass (ICASSP, 2022)

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs. - Yi-Lun Liao; Tess E. Smidt (ICLR, 2023)

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations. - Yi-Lun Liao; Brandon M. Wood; Abhishek Das; Tess E. Smidt (ICLR, 2024)

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields. - Yi-Lun Liao; Tess E. Smidt; Abhishek Das (CoRR, 2024)

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields. - Yi-Lun Liao; Tess E. Smidt; Muhammed Shuaibi; Abhishek Das (Trans. Mach. Learn. Res., 2024)

All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. - Chaitanya K. Joshi; Xiang Fu 005; Yi-Lun Liao; Vahe Gharakhanyan; Benjamin Kurt Miller; Anuroop Sriram; Zachary W. Ulissi (CoRR, 2025)