Song, Yu

8 publications

LoG 2025 A Pure Transformer Pretraining Framework on Text-Attributed Graphs Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

LoG 2025 Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma

AAAI 2025 Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling Xueyang Li, Yunzhong Lou, Yu Song, Xiangdong Zhou

NeurIPSW 2024 HoneyComb: A Flexible LLM-Based Agent System for Materials Science Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

NeurIPS 2024 Text-Space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

NeurIPSW 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science Yu Song, Santiago Miret, Huan Zhang, Bang Liu

ICCV 2021 Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space Wuwei Ge, Yu Song, Baichao Zhang, Zehua Dong

IJCAI 2017 Multiple Indefinite Kernel Learning for Feature Selection Hui Xue, Yu Song, Haiming Xu