Bozhao Nan - RankMe

13 papers A* 4A 1B 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. CIKM Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	B	`conf`	ReactionTeam: Teaming Experts for Divergent Thinking Beyond Typical Reaction Patterns. IEEE Big Data Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Olaf Wiest, Nitesh V. Chawla, Xiangliang Zhang
2024	—	`conf`	Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	J	`jnl`	Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	A*	`conf`	Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. NeurIPS Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024	A*	`conf`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2024	J	`jnl`	MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	J	`jnl`	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
2023	J	`jnl`	Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout. CoRR Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2023	A*	`conf`	What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. NeurIPS Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2023	J	`jnl`	What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks. CoRR Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2022	J	`jnl`	Graph-based Molecular Representation Learning. CoRR Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla