Zhihan Guo

According to our database, Zhihan Guo authored at least 22 papers between 2019 and 2026.

Collaborative distances:

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

2026

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory.

Mingxi Zou, Zhihan Guo, Langzhang Liang, Zhuo Wang, Qifan Wang, Qingsong Wen, Irwin King, Lizhen Qu, Zenglin Xu

CoRR, May, 2026

MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers.

Zhihan Guo, Rundong Xue, Yuting Lu, Jionghao Lin

CoRR, April, 2026

Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models.

Jiajia Song, Zhihan Guo, Jionghao Lin

CoRR, March, 2026

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction.

Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze-Yun Leong

CoRR, February, 2026

Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling.

Yuelu Li, Siyi Wu, Lujin Zhang, Zhihan Guo, Wenchuan Lu, David Kei-Man Yip

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Dr.Mi-Bench: A Modular-integrated Benchmark for Scientific Deep Research Agent.

Zhihan Guo, Feiyang Xu, Yifan Li, Muzhi Li, Shuai Zou, Jiele Wu, Han Shi, Haoli Bai, Ho-fung Leung, Irwin King

CoRR, December, 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, Irwin King

CoRR, August, 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, Irwin King

CoRR, June, 2025

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

CoRR, March, 2025

From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models.

Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.

Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.

Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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, Philip A. Bernstein

Proc. VLDB Endow., 2022

How Good is My HTAP System?

Elena Milkai, Yannis Chronis, Kevin P. Gaffney, Zhihan Guo, Jignesh M. Patel, Xiangyao Yu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

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

Cornus: One-Phase Commit for Cloud Databases with Storage Disaggregation.

Zhihan Guo, Xinyu Zeng, Ziwei Ren, Xiangyao Yu

CoRR, 2021

Review on Service Composition.

Fengtao Hu, Hua Huang, Zhihan Guo

Proceedings of the 6th IEEE International Conference on Smart Cloud, 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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 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, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

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

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

A Statistical Perspective on Discovering Functional Dependencies in Noisy Data.

Yunjia Zhang, Zhihan Guo, Theodoros Rekatsinas

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Learning Functional Dependencies with Sparse Regression.

Zhihan Guo, Theodoros Rekatsinas

CoRR, 2019