Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. - Sihang Zeng; Zheng Yuan 002; Sheng Yu 002 (BioNLP@ACL, 2022)

BIOS: An Algorithmically Generated Biomedical Knowledge Graph. - Sheng Yu 002; Zheng Yuan 002; Jun Xia; Shengxuan Luo; Huaiyuan Ying; Sihang Zeng; Jingyi Ren; Hongyi Yuan; Zhengyun Zhao; Yucong Lin; Keming Lu; Jing Wang; et al. (CoRR, 2022)

Hierarchical Pretraining for Biomedical Term Embeddings. - Bryan Cai; Sihang Zeng; Yucong Lin; Zheng Yuan 002; Doudou Zhou; Lu Tian (CoRR, 2023)

Large Language Models are Zero Shot Hypothesis Proposers. - Biqing Qi; Kaiyan Zhang; Haoxiang Li; Kai Tian; Sihang Zeng; Zhang-Ren Chen; Bowen Zhou 002 (CoRR, 2023)

UltraMedical: Building Specialized Generalists in Biomedicine. - Kaiyan Zhang; Sihang Zeng; Ermo Hua; Ning Ding 002; Zhang-Ren Chen; Zhiyuan Ma 005; Haoxin Li; Ganqu Cui; Biqing Qi; Xuekai Zhu; Xingtai Lv; Jinfang Hu; et al. (NeurIPS, 2024)

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. - Biqing Qi; Kaiyan Zhang; Kai Tian; Haoxiang Li; Zhang-Ren Chen; Sihang Zeng; Ermo Hua; Jinfang Hu; Bowen Zhou 002 (CoRR, 2024)

CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. - Huaiyuan Ying; Zhengyun Zhao; Yang Zhao; Sihang Zeng; Sheng Yu 002 (J. Am. Medical Informatics Assoc., 2024)

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. - Sihang Zeng; Lucas Jing Liu; Jun Wen; Meliha Yetisgen; Ruth Etzioni; Gang Luo (CoRR, 2025)

ReviewRL: Towards Automated Scientific Review with RL. - Sihang Zeng; Kai Tian; Kaiyan Zhang; Yuru wang; Junqi Gao; Runze Liu 002; Sa Yang; Jingxuan Li; Xinwei Long; Jiaheng Ma; Biqing Qi; Bowen Zhou 002 (CoRR, 2025)