Sihang Zeng - RankMe

17 papers A* 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey of Reinforcement Learning for Large Reasoning Models. CoRR Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
2025	A*	`conf`	ReviewRL: Towards Automated Scientific Review with RL. EMNLP Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou
2025	J	`jnl`	ReviewRL: Towards Automated Scientific Review with RL. CoRR Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou
2025	J	`jnl`	Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction. CoRR Sihang Zeng, Yujuan Fu, Sitong Zhou, Zixuan Yu, Lucas Jing Liu, Jun Wen, Matthew Thompson, Ruth Etzioni, Meliha Yetisgen
2025	—	`conf`	TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. MLHC Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo
2025	J	`jnl`	TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. CoRR Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo
2025	J	`jnl`	UW-BioNLP at ChemoTimelines 2025: Thinking, Fine-Tuning, and Dictionary-Enhanced LLM Systems for Chemotherapy Timeline Extraction. CoRR Tianmai M. Zhang, Zhaoyi Sun, Sihang Zeng, Chenxi Li, Neil F. Abernethy, Barbara D. Lam, Fei Xia, Meliha Yetisgen
2024	J	`jnl`	CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. J. Am. Medical Informatics Assoc. Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu
2024	J	`jnl`	Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. CoRR Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou
2024	A*	`conf`	UltraMedical: Building Specialized Generalists in Biomedicine. NeurIPS Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou
2024	J	`jnl`	UltraMedical: Building Specialized Generalists in Biomedicine. CoRR Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou
2023	J	`jnl`	CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs. CoRR Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu
2023	J	`jnl`	Hierarchical Pretraining for Biomedical Term Embeddings. CoRR Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian
2023	J	`jnl`	Large Language Models are Zero Shot Hypothesis Proposers. CoRR Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou
2022	—	`conf`	Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. BioNLP@ACL Sihang Zeng, Zheng Yuan, Sheng Yu
2022	J	`jnl`	Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. CoRR Sihang Zeng, Zheng Yuan, Sheng Yu
2022	J	`jnl`	BIOS: An Algorithmically Generated Biomedical Knowledge Graph. CoRR Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum