Yihao Liu

According to our database, Yihao Liu authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections.

Hengrui Zhang, Yulong Hui, Yihao Liu, Huanchen Zhang

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

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

CoRR, September, 2025

Selective Late Materialization in Modern Analytical Databases.

Yihao Liu, Shaoxuan Tang, Yulong Hui, Hangrui Zhou, Huanchen Zhang

Proc. VLDB Endow., July, 2025

OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing.

Yulong Hui, Yihao Liu, Yao Lu, Huanchen Zhang

CoRR, March, 2025

2024

LeCo: Lightweight Compression via Learning Serial Correlations.

Yihao Liu, Xinyu Zeng, Huanchen Zhang

Proc. ACM Manag. Data, February, 2024

Reproducibility Report for ACM SIGMOD 2024 Paper: 'Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs'.

Yihao Liu, Yuanhui Luo, Minguk Choi

Proceedings of the Reproducibility Reports of the 2024 International Conference on Management of Data, 2024

Cost-Intelligent Data Analytics in the Cloud.

Huanchen Zhang, Yihao Liu, Jiaqi Yan

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024