Learning Functional Dependencies with Sparse Regression. - Zhihan Guo; Theodoros Rekatsinas (CoRR, 2019)

A Statistical Perspective on Discovering Functional Dependencies in Noisy Data. - Yunjia Zhang; Zhihan Guo; Theodoros Rekatsinas (SIGMOD Conference, 2020)

Research on Firefighter Digital Management Using Big Data Technology and Computer Mathematical Statistics. - Zhihan Guo; Jingbo Wang; Lingqian Kong; Ruhe Jin; Xinmeng Li; Bin Li (AIAM (ACM), 2021)

The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus. - Kan Wu; Zhihan Guo; Guanzhou Hu; Kaiwei Tu; Ramnatthan Alagappan; Rathijit Sen; Kwanghyun Park 001; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (FAST, 2021)

Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking. - Zhihan Guo; Kan Wu; Cong Yan; Xiangyao Yu (SIGMOD Conference, 2021)

Review on Service Composition. - Fengtao Hu; Hua Huang 006; Zhihan Guo (SmartCloud, 2021)

Cornus: One-Phase Commit for Cloud Databases with Storage Disaggregation. - Zhihan Guo; Xinyu Zeng; Ziwei Ren; Xiangyao Yu (CoRR, 2021)

Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking (Extended Version). - Zhihan Guo; Kan Wu; Cong Yan; Xiangyao Yu (CoRR, 2021)

How Good is My HTAP System? - Elena Milkai; Yannis Chronis; Kevin P. Gaffney; Zhihan Guo; Jignesh M. Patel; Xiangyao Yu (SIGMOD Conference, 2022)

Cornus: Atomic Commit for a Cloud DBMS with Storage Disaggregation. - Zhihan Guo; Xinyu Zeng; Kan Wu; Wuh-Chwen Hwang; Ziwei Ren; Xiangyao Yu; Mahesh Balakrishnan 001; Philip A. Bernstein (Proc. VLDB Endow., 2022)

FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. - Zhihan Guo; Yifei Zhang; Zhuo Zhang 007; Zenglin Xu; Irwin King (NAACL-HLT (Findings), 2024)

FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. - Zhihan Guo; Yifei Zhang; Zhuo Zhang 007; Zenglin Xu; Irwin King (WWW (Companion Volume), 2024)

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Zexu Sun; Lei Wang; Weixu Zhang; Zhihan Guo; Yufei Wang; Irwin King; Xue Liu; Chen Ma 001 (CoRR, 2025)

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation. - Zhihan Guo; Jiele Wu; Wenqian Cui; Yifei Zhang; Minda Hu; Yufei Wang 005; Irwin King (CoRR, 2025)

Think Before You Talk: Enhancing Meaningful Dialogue Generation in Full-Duplex Speech Language Models with Planning-Inspired Text Guidance. - Wenqian Cui; Lei Zhu; Xiaohui Li; Zhihan Guo; Haoli Bai; Lu Hou 002; Irwin King (CoRR, 2025)