Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning. - Xiaobao Huang; Mihir Surve; Yuhan Liu; Tengfei Luo; Olaf Wiest; Xiangliang Zhang 001; Nitesh V. Chawla (CIKM, 2024)

ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation. - Peiyu Li; Xiaobao Huang; Yijun Tian 001; Nitesh V. Chawla (CIKM, 2024)

Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. - Yihong Ma; Xiaobao Huang; Bozhao Nan; Nuno Moniz; Xiangliang Zhang 001; Olaf Wiest; Nitesh V. Chawla (WWW (Companion Volume), 2024)

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. - Khiem Le; Zhichun Guo; Kaiwen Dong; Xiaobao Huang; Bozhao Nan; Roshni G. Iyer; Xiangliang Zhang 001; Olaf Wiest; Wei Wang 010; Nitesh V. Chawla (CoRR, 2024)

ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery. - Xiaobao Huang; Yihong Ma; Anjali Gurajapu; Jules Schleinitz; Zhichun Guo; Sarah E. Reisman; Nitesh V. Chawla (CoRR, 2025)