Songtao Liu
[Google Scholar] [Github]
Email: skl5761@psu.edu
Hi, this is Songtao. I’m currently a Ph.D. candidate advised by Prof. Peng Liu at Penn State. I received my B.S. in Computer Science and Data Science from Fudan University.
My research focuses on efficient machine learning and generative modeling, with an emphasis on developing algorithms that reduce inference cost and solve diverse problems across domains such as language and science.
I am on the industry job market for 2025-2026!
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu
International Conference on Machine Learning (ICML), 2024
Oral Presentation
[arXiv] [Code]
Graph Adversarial Diffusion Convolution
Songtao Liu, Jinghui Chen, Marinka Zitnik, Dinghao Wu
International Conference on Machine Learning (ICML), 2024
[arXiv] [Code]
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu, Zhengkai Tu*, Minkai Xu*, Zuobai Zhang*, Jian Tang, Peilin Zhao, Dinghao Wu
International Conference on Machine Learning (ICML), 2023
[arXiv] [Code]
Local Augmentation for Graph Neural Networks
Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
International Conference on Machine Learning (ICML), 2022
[arXiv] [Code]
Conference/Journal Reviewer: ICML 2022/2024/2025, NeurIPS 2022/2023/2024, ICLR 2024/2025, AISTATS 2024, TMLR
DS 330: Visual Analytics, Penn State, Spring 2025
DS 320: Data Integration and Fusion, Penn State, Spring 2024
DS/CMPSC 410: Programming Models for Big Data, Penn State, Fall 2023
IST 815: Foundations of Information Security and Assurance, Penn State, Fall 2023