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ORCIDYuxuan Zhu 0003
Person information
- affiliation: University of Illinois Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Yuxuan Zhu — disambiguation page
- Yuxuan Zhu 0001
![[0000-0003-1831-9688]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1831-9688")
— Guangdong University of Technology, School of Computer Science, Guangzhou, China - Yuxuan Zhu 0002 — Tsinghua University, Department of Automation, Beijing, China
- Yuxuan Zhu 0004 — Rensselaer Polytechnic Institute, Department of Computer Science, Troy, NY, USA
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2020 – today
- 2025
[j2]Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang:
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees. Proc. ACM Manag. Data 3(3): 198:1-198:28 (2025)- [c5]Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang:
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench. ACL (1) 2025: 3762-3774 - [i7]Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang:
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities. CoRR abs/2503.17332 (2025) - [i6]Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang:
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report). CoRR abs/2503.21087 (2025) - [i5]Tengjun Jin, Yuxuan Zhu, Daniel Kang:
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines. CoRR abs/2504.04808 (2025) - [i4]Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang:
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench. CoRR abs/2506.09289 (2025) - [i3]Chuxuan Hu, Yuxuan Zhu, Antony Kellermann, Caleb Biddulph, Suppakit Waiwitlikhit, Jason Benn, Daniel Kang:
Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains? CoRR abs/2506.19733 (2025) - [i2]Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang:
Establishing Best Practices for Building Rigorous Agentic Benchmarks. CoRR abs/2507.02825 (2025) - 2024
- [c4]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. MLSys 2024 - [c3]Yuxuan Zhu, Maximilian Hüttner, Kyle Deeds:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-k Selection'. SIGMOD/PODS 2024: 69-73 - [i1]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. CoRR abs/2404.13515 (2024) - 2023
- [j1]Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang:
SlabCity: Whole-Query Optimization using Program Synthesis. Proc. VLDB Endow. 16(11): 3151-3164 (2023) - 2022
- [c2]Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding:
An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. GLOBECOM 2022: 5183-5188 - 2021
- [c1]Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu:
Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach. GLOBECOM 2021: 1-6
Coauthor Index
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