Yuxuan Zhu

According to our database, Yuxuan Zhu authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

ReViSQL: Achieving Human-Level Text-to-SQL.

Yuxuan Zhu, Tengjun Jin, Yoojin Choi, Daniel Kang

CoRR, March, 2026

Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees.

Yuxuan Zhu, Tengjun Jin, Chenghao Mo, Daniel Kang

CoRR, March, 2026

Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards.

Yuxuan Zhu, Daniel Kang

CoRR, March, 2026

Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards.

Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang

Proc. VLDB Endow., January, 2026

Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.

Yuxuan Zhu, Antony Kellermann, Akul Gupta, Philip Li, Richard Fang, Rohan Bindu, Daniel Kang

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors.

Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang

Proceedings of the 16th Conference on Innovative Data Systems Research, 2026

2025

Measuring Agents in Production.

Melissa Z. Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A. Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Quincy Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Joseph E. Gonzalez, Koushik Sen, Dawn Song, Ion Stoica, Matei Zaharia, Marquita Ellis

CoRR, December, 2025

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

Tengjun Jin, Yuxuan Zhu, Daniel Kang

Proc. VLDB Endow., October, 2025

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation.

Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, Nitya Nadgir, Zachary S. Siegel, Boyi Wei, Tianci Xue, Ziru Chen, Felix Chen, Saiteja Utpala, Franck Ndzomga, Dheeraj Oruganty, Sophie Luskin, Kangheng Liu, Botao Yu, Amit Arora, Dongyoon Hahm, Harsh Trivedi, Huan Sun, Juyong Lee, Tengjun Jin, Yifan Mai, Yifei Zhou, Yuxuan Zhu, Rishi Bommasani, Daniel Kang, Dawn Song, Peter Henderson, Yu Su, Percy Liang, Arvind Narayanan

CoRR, October, 2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.

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

CoRR, July, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees.

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang

Proc. ACM Manag. Data, June, 2025

Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains?

Chuxuan Hu, Yuxuan Zhu, Antony Kellermann, Caleb Biddulph, Suppakit Waiwitlikhit, Jason Benn, Daniel Kang

CoRR, June, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report).

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang

CoRR, March, 2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees'.

Yiming Qiao, Chi Zhang, Yuxuan Zhu

Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

Establishing Best Practices in Building Rigorous Agentic Benchmarks.

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, Antony Kellermann, Jasjeet S. Sekhon, Jacob Steinhardt, Sarah Schwettmann, Arvind Narayanan, Matei A. Zaharia, Ion Stoica, Percy Liang, Daniel Kang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Approximate Query Processing with Block Sampling.

Yuxuan Zhu, Daniel Kang

Proceedings of the 15th Conference on Innovative Data Systems Research, 2025

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.

Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-<i>k</i> Selection'.

Yuxuan Zhu, Maximilian Hüttner, Kyle Deeds

Proceedings of the Reproducibility Reports of the 2024 International Conference on Management of Data, 2024

FedTrans: Efficient Federated Learning via Multi-Model Transformation.

Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

2023

SlabCity: Whole-Query Optimization using Program Synthesis.

Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang

Proc. VLDB Endow., 2023

2022

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.

Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding

Proceedings of the IEEE Global Communications Conference, 2022

2021

Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach.

Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu

Proceedings of the IEEE Global Communications Conference, 2021