Yuanzhe Hu

According to our database, Yuanzhe Hu authored at least 16 papers between 2017 and 2025.

Collaborative distances:

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

2025

Mem-α: Learning Memory Construction via Reinforcement Learning.

Yu Wang, Ryuichi Takanobu, Zhiqi Liang, Yuzhen Mao, Yuanzhe Hu, Julian McAuley, Xiaojian Wu

CoRR, September, 2025

K2-Think: A Parameter-Efficient Reasoning System.

Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing

CoRR, September, 2025

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

Yuanzhe Hu, Yu Wang, Julian J. McAuley

CoRR, July, 2025

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias.

Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang

CoRR, June, 2025

One Sentence Can Kill the Bug: Auto-Replay Mobile App Crashes From One-Sentence Overviews.

Yuchao Huang, Junjie Wang, Zhe Liu, Mingyang Li, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang

IEEE Trans. Software Eng., April, 2025

OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training.

Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

CoRR, April, 2025

M+: Extending MemoryLLM with Scalable Long-Term Memory.

Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He

CoRR, February, 2025

2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.

Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Model Balancing Helps Low-data Training and Fine-tuning.

Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2021

DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction.

Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, Kaiyuan Zhang

IEEE Trans. Vis. Comput. Graph., 2021

2020

RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query.

Honghui Mei, Wei Chen, Yating Wei, Yuanzhe Hu, Shuyue Zhou, Bingru Lin, Ying Zhao, Jiazhi Xia

IEEE Trans. Vis. Comput. Graph., 2020

PEL-BERT: A Joint Model for Protocol Entity Linking.

Shoubin Li, Wenzao Cui, Yujiang Liu, Xuran Ming, Jun Hu, Yuanzhe Hu, Qing Wang

CoRR, 2020

Is There A "Golden" Rule for Code Reviewer Recommendation? : - An Experimental Evaluation.

Yuanzhe Hu, Junjie Wang, Jie Hou, Shoubin Li, Qing Wang

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Context-aware in-process crowdworker recommendation.

Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection.

Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2017

Multi-Objective Crowd Worker Selection in Crowdsourced Testing.

Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017