Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach. - Shijing Yuan; Jie Li 002; Jinghao Liang; Yuxuan Zhu 003; Xiang Yu; Jianping Chen; Chentao Wu (GLOBECOM, 2021)

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. - Shijing Yuan; Jie Li 002; Yuxuan Zhu 003; Chentao Wu; Yue Ding 001 (GLOBECOM, 2022)

SlabCity: Whole-Query Optimization using Program Synthesis. - Rui Dong 006; Jie Liu 048; Yuxuan Zhu 003; Cong Yan; Barzan Mozafari; Xinyu Wang 006 (Proc. VLDB Endow., 2023)

FedTrans: Efficient Federated Learning via Multi-Model Transformation. - Yuxuan Zhu 003; Jiachen Liu; Mosharaf Chowdhury; Fan Lai 001 (MLSys, 2024)

Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top-k Selection'. - Yuxuan Zhu 003; Maximilian Hüttner; Kyle Deeds (SIGMOD/PODS, 2024)

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench. - Boxi Yu; Yuxuan Zhu 003; Pinjia He; Daniel Kang (ACL (1), 2025)

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities. - Yuxuan Zhu 003; Antony Kellermann; Dylan Bowman; Philip Li; Akul Gupta; Adarsh Danda; Richard Fang; Conner Jensen; Eric Ihli; Jason Benn; Jet Geronimo; Avi Dhir; et al. (CoRR, 2025)

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report). - Yuxuan Zhu 003; Tengjun Jin; Stefanos Baziotis; Chengsong Zhang; Charith Mendis; Daniel Kang (CoRR, 2025)

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines. - Tengjun Jin; Yuxuan Zhu 003; Daniel Kang (CoRR, 2025)

Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains? - Chuxuan Hu; Yuxuan Zhu 003; Antony Kellermann; Caleb Biddulph; Suppakit Waiwitlikhit; Jason Benn; Daniel Kang (CoRR, 2025)

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees. - Yuxuan Zhu 003; Tengjun Jin; Stefanos Baziotis; Chengsong Zhang; Charith Mendis; Daniel D. Kang (Proc. ACM Manag. Data, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu 003; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)