Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT. - Tong Xie; Yuwei Wan; Wei Huang 040; Yufei Zhou; Yixuan Liu; Qingyuan Linghu; Shaozhou Wang; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Bram Hoex (CoRR, 2023)

DARWIN Series: Domain Specific Large Language Models for Natural Science. - Tong Xie; Yuwei Wan; Wei Huang 040; Zhenyu Yin; Yixuan Liu; Shaozhou Wang; Qingyuan Linghu; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Imran Razzak; Bram Hoex (CoRR, 2023)

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Xuefeng Chen 001; Wenjie Zhang 001; Ying Zhang 001 (ICDM, 2024)

Creation of a structured solar cell material dataset and performance prediction using large language models. - Tong Xie; Yuwei Wan; Yufei Zhou; Wei Huang 040; Yixuan Liu; Qingyuan Linghu; Shaozhou Wang; Chunyu Kit; Clara Grazian; Wenjie Zhang 001; Bram Hoex (Patterns, 2024)

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Wenjie Zhang 001; Ying Zhang 001; Xuemin Lin 001 (CoRR, 2025)

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Shaozhen Ma; Wenjie Zhang 001; Xuemin Lin 001 (CoRR, 2025)