Yuxuan Zhu

27 papers A* 1A 2B 2Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees.
CoRR
Yuxuan Zhu, Tengjun Jin, Chenghao Mo, Daniel Kang
2026 J jnl
Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards.
CoRR
Yuxuan Zhu, Daniel Kang
2026 J jnl
Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards.
CoRR
Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2026 J jnl
Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards.
Proc. VLDB Endow.
Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2026 J jnl
ReViSQL: Achieving Human-Level Text-to-SQL.
CoRR
Yuxuan Zhu, Tengjun Jin, Yoojin Choi, Daniel Kang
2026 — conf
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.
EACL (Volume 1: Long Papers)
Yuxuan Zhu, Antony Kellermann, Akul Gupta, Philip Li, Richard Fang, Rohan Bindu, Daniel Kang
2026 A conf
Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors.
CIDR
Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2025 J jnl
Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains?
CoRR
Chuxuan Hu, Yuxuan Zhu, Antony Kellermann, Caleb Biddulph, Suppakit Waiwitlikhit, Jason Benn, Daniel Kang
2025 A* conf
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
ICML
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
2025 J jnl
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
CoRR
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
2025 J jnl
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.
CoRR
Tengjun Jin, Yuxuan Zhu, Daniel Kang
2025 J jnl
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.
Proc. VLDB Endow.
Tengjun Jin, Yuxuan Zhu, Daniel Kang
2025 A conf
Efficient Approximate Query Processing with Block Sampling.
CIDR
Yuxuan Zhu, Daniel Kang
2025 J jnl
Establishing Best Practices for Building Rigorous Agentic Benchmarks.
CoRR
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
2025 J jnl
Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation.
CoRR
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
2025 J jnl
Measuring Agents in Production.
CoRR
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
2025 J jnl
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report).
CoRR
Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang
2025 J jnl
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees.
Proc. ACM Manag. Data
Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang
2025 — conf
Reproducibility Report for ACM SIGMOD 2025 Paper: 'PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees'.
SIGMOD ARI Reports
Yiming Qiao, Chi Zhang, Yuxuan Zhu
2025 — conf
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.
ACL (1)
Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang
2025 J jnl
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.
CoRR
Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang
2024 — conf
FedTrans: Efficient Federated Learning via Multi-Model Transformation.
MLSys
Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
2024 J jnl
FedTrans: Efficient Federated Learning via Multi-Model Transformation.
CoRR
Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
2024 — conf
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-
SIGMOD/PODS
Yuxuan Zhu, Maximilian Hüttner, Kyle Deeds
2023 J jnl
SlabCity: Whole-Query Optimization using Program Synthesis.
Proc. VLDB Endow.
Rui Dong, Jie Liu, Yuxuan Zhu, Cong Yan, Barzan Mozafari, Xinyu Wang
2022 B conf
An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.
GLOBECOM
Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding
2021 B conf
Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach.
GLOBECOM
Shijing Yuan, Jie Li, Jinghao Liang, Yuxuan Zhu, Xiang Yu, Jianping Chen, Chentao Wu