Yi-Lun Liao

19 papers A* 5Misc 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials.
ICML
Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi
2025 J jnl
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials.
CoRR
Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi
2024 A* conf
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.
ICLR
Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt
2024 J jnl
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.
CoRR
Yi-Lun Liao, Tess E. Smidt, Abhishek Das
2024 J jnl
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.
Trans. Mach. Learn. Res.
Yi-Lun Liao, Tess E. Smidt, Muhammed Shuaibi, Abhishek Das
2023 A* conf
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.
ICLR
Yi-Lun Liao, Tess E. Smidt
2023 J jnl
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.
CoRR
Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt
2022 J jnl
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.
CoRR
Yi-Lun Liao, Tess E. Smidt
2022 Misc conf
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.
ICASSP
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 A* conf
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization.
CVPR
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021 J jnl
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization.
CoRR
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze
2021 J jnl
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.
CoRR
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 A* conf
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.
NeurIPS
Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass
2021 J jnl
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.
CoRR
Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass
2021 J jnl
Searching for Efficient Multi-Stage Vision Transformers.
CoRR
Yi-Lun Liao, Sertac Karaman, Vivienne Sze
2019 Misc conf
Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency.
ICASSP
Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang
2018 J jnl
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency.
CoRR
Yi-Lun Liao, Yao-Cheng Yang, Yu-Chiang Frank Wang
2018 — conf
Adaptively Banded Smith-Waterman Algorithm for Long Reads and Its Hardware Accelerator.
ASAP
Yi-Lun Liao, Yu-Cheng Li, Nae-Chyun Chen, Yi-Chang Lu
2018 — conf
Three-Dimensional Dynamic Programming Accelerator for Multiple Sequence Alignment.
NORCAS
Ruei-Ting Chien, Yi-Lun Liao, Chien-An Wang, Yu-Cheng Li, Yi-Chang Lu