Zhihan Guo

20 papers A* 2A 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling.
CHI
Yuelu Li, Siyi Wu, Lujin Zhang, Zhihan Guo, Wenchuan Lu, David Kei-Man Yip
2026 J jnl
Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction.
CoRR
Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze-Yun Leong
2026 J jnl
Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models.
CoRR
Jiajia Song, Zhihan Guo, Jionghao Lin
2025 J jnl
Dr.Mi-Bench: A Modular-integrated Benchmark for Scientific Deep Research Agent.
CoRR
Zhihan Guo, Feiyang Xu, Yifan Li, Muzhi Li, Shuai Zou, Jiele Wu, Han Shi, Haoli Bai, Ho-fung Leung, Irwin King
2025 A* conf
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models.
EMNLP
Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King
2025 J jnl
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation.
CoRR
Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King
2025 J jnl
Think Before You Talk: Enhancing Meaningful Dialogue Generation in Full-Duplex Speech Language Models with Planning-Inspired Text Guidance.
CoRR
Wenqian Cui, Lei Zhu, Xiaohui Li, Zhihan Guo, Haoli Bai, Lu Hou, Irwin King
2025 J jnl
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models.
CoRR
Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, Lei Wang, Weixu Zhang, Zhihan Guo, Yufei Wang, Irwin King, Xue Liu, Chen Ma
2024 — conf
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.
WWW (Companion Volume)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2024 — conf
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.
NAACL-HLT (Findings)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2022 J jnl
Cornus: Atomic Commit for a Cloud DBMS with Storage Disaggregation.
Proc. VLDB Endow.
Zhihan Guo, Xinyu Zeng, Kan Wu, Wuh-Chwen Hwang, Ziwei Ren, Xiangyao Yu, Mahesh Balakrishnan, Philip A. Bernstein
2022 — conf
How Good is My HTAP System?
SIGMOD Conference
Elena Milkai, Yannis Chronis, Kevin P. Gaffney, Zhihan Guo, Jignesh M. Patel, Xiangyao Yu
2021 J jnl
Cornus: One-Phase Commit for Cloud Databases with Storage Disaggregation.
CoRR
Zhihan Guo, Xinyu Zeng, Ziwei Ren, Xiangyao Yu
2021 J jnl
Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking (Extended Version).
CoRR
Zhihan Guo, Kan Wu, Cong Yan, Xiangyao Yu
2021 — conf
Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking.
SIGMOD Conference
Zhihan Guo, Kan Wu, Cong Yan, Xiangyao Yu
2021 — conf
Research on Firefighter Digital Management Using Big Data Technology and Computer Mathematical Statistics.
AIAM (ACM)
Zhihan Guo, Jingbo Wang, Lingqian Kong, Ruhe Jin, Xinmeng Li, Bin Li
2021 — conf
Review on Service Composition.
SmartCloud
Fengtao Hu, Hua Huang, Zhihan Guo
2021 A conf
The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus.
FAST
Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2020 — conf
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data.
SIGMOD Conference
Yunjia Zhang, Zhihan Guo, Theodoros Rekatsinas
2019 J jnl
Learning Functional Dependencies with Sparse Regression.
CoRR
Zhihan Guo, Theodoros Rekatsinas