Liao, Yi-Lun

7 publications

ICML 2025 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 Ward Ulissi

ICLRW 2025 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 Ward Ulissi

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

TMLR 2024 Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao, Tess Smidt, Muhammed Shuaibi, Abhishek Das

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

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

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