朱君鹏

ℹ️ 个人简介

朱君鹏，博士，副教授。博士毕业于华东师范大学数据科学与工程学院数据科学与工程专业。博士期间，入选教育部与工业和信息化部联合支持的"国家关键软件高层次人才博士生专项"，研究方向为当代数据管理系统。具备丰富的产业界研发经验，曾任职于国内外知名数据库公司 (VMware, PingCAP等)。在 SIGMOD、VLDB、ICDE 等数据管理领域的国际顶级数据库会议（CCF-A）上发表论文十余篇，同时担任多个顶级国际学术会议和期刊的审稿人。

💡 研究方向

📝 学术成果

In Submission

• [20]Min Jia, Jun-Peng Zhu*, Peng Cai, Kai Xu, Li Li, Yishen Sun, Shenjun Ma, Cong Liu, Xuan Zhou, Hongming Zhang, Heng Long, Qiu Cui, Liu Tang, Qi Liu. Towards Autonomous OpenAPI Scenario Testing with LLM-Guided Contextual Bandits. In Submission
• [19]Min Jia, Jun-Peng Zhu*, Peng Cai, Kai Xu, Li Li, Yishen Sun, Cong Liu, Hongming Zhang, Aoying Zhou, Heng Long, Liu Tang, and Qi Liu. Interactive Ambiguity Resolution for Multimodal Natural Language Queries. In Submission
• [18]Jun-Peng Zhu, Qizhi Wang, Yulong Zhai, Yishen Sun, Sen Chen, Kai Xu, Peng Cai, Hongming Zhang, Heng Long, Liu Tang, Qi Liu. A Practical Framework for Flaky Failure Triage in Distributed Database Continuous Integration. In Submission
• [17] Min Jia, Jun-Peng Zhu*, Peng Cai, Kai Xu, Li Li, Yishen Sun, Xuan Zhou, Liu Tang, and Qi Liu. Towards Automated Multimodal Exploratory Data Analysis through Large Language Models. In Submission

2026

• [16]Wei Cao, Rachid Hedjam, Bessam Abdulrazak, Jun-Peng Zhu*. Poly-WaveGC: A Generalized Spectral Wavelet Graph Convolution Network with Adaptive Orthogonal Polynomials. The 39th Canadian Conference on Artificial Intelligence (Canadian AI 2026)
• [15] Jun-Peng Zhu, Boyan Niu, Peng Cai, Zheming Ni, Kai Xu, Xuan Zhou, Liu Tang, and Qi Liu. TiInsight: A SQL-based Automated Exploratory Data Analysis System through Large Language Models. SIGMOD 2026, CCF-A
• [14]Pinshan Cao, Peng Cai, Xuan Zhou, Jun-Peng Zhu*, Kecheng Luo, Sijia Li, Quanqing Xu, Chuanhui Yang. Automatic Parameter Tuning for Compaction in LSM-Tree based Databases. ICDE 2026, CCF-A
• [13]Zhongwei Yue, Jun-Peng Zhu, Peng Cai, Xuan Zhou, Quanqing Xu, Chuanhui Yang. ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning. SIGMOD 2026, CCF-A

2025

• [12] Jun-Peng Zhu, Lingfeng Zhang, Peng Cai, Xuan Zhou, Peisen Zhao, Xue Wang, Linpeng Tang. FDBKeeper: Enabling Scalable Coordination Services for Metadata Management using Distributed Key-Value Databases. PVLDB 2025, CCF-A
• [11] Jun-Peng Zhu, Boyan Niu, Peng Cai, Zheming Ni, Jianwei Wan, Kai Xu, Xuan Zhou, Liu Tang, and Qi Liu. Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models. PVLDB 2025, CCF-A
• [10] Jun-Peng Zhu, Peng Cai, Kai Xu, Li Li, Yishen Sun, Shuai Zhou, Haihuang Su, Liu Tang, and Qi Liu. UNITQA: A Unified Automated Tabular Question Answering System with Multi-Agent Large Language Models. SIGMOD 2025, CCF-A
• [9] Jun-Peng Zhu, Zhiwei Ye, Xiaolong He, Peng Cai, Xuan Zhou, Aoying Zhou, Dunbo Cai, Ling Qian, Kai Xu, Liu Tang, and Qi Liu. SylphDB: An Active and Adaptive LSM Engine for Update-Intensive Workloads. ICDE 2025, CCF-A
• [8] Wei Cao, Rachid Hedjam, Bessam Abdulrazak, Jun-Peng Zhu*. A Hierarchical Wavelet Bispectrum Framework for Automated Seizure Detection. IEEE BDDM 2025 Best Paper Award 🏆
• [7] Rongrong Zhang, Zhiwei Ye, Jun-Peng Zhu, Peng Cai, Xuan Zhou, Dunbo Cai, and Ling Qian. HAWK: A Workload-driven Hierarchical Deadlock Detection Approach in Distributed Database System. PVLDB 2025, CCF-A
• [6] Shihao Zhou, Qi Mao, Yi Cheng, Hongcheng Qi, Yilun Huang, Peng Cai, and Jun-Peng Zhu. RedTAO: A Trillion-edge High-throughput Graph Store. SIGMOD 2025, CCF-A

2024

• [5] Jun-Peng Zhu, Peng Cai, Kai Xu, Li Li, Yishen Sun, Shuai Zhou, Haihuang Su, Liu Tang, and Qi Liu. AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models. PVLDB 2024, CCF-A
• [4] Jun-Peng Zhu, Zhiwei Ye, Peng Cai, Donghui Wang, Fengyan Zhang, Dunbo Cai, and Ling Qian. Log Replaying for Real-Time HTAP: An Adaptive Epoch-Based Two-Stage Framework. ICDE 2024, CCF-A
• [3] Jun-Peng Zhu, Peng Cai, Boyan Niu, Zheming Ni, Kai Xu, Jiajun Huang, Jianwei Wan, Bing Wang, Donghui Zhang, Liu Tang, and Qi Liu. Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. ICDE 2024, CCF-A
• [2] Kecheng Luo, Jun-Peng Zhu, Peng Cai, Aoying Zhou. MODT: Multi-Objective Database Tuner using Hierarchical Reinforcement Learning. DASFAA 2024, CCF-B
• [1] Shanshan Huang, Jun-Peng Zhu, Fengyan Zhang, Peng Cai, and Qiwen Dong. AutoTable: Effective and Efficient Automated Feature Transformation Framework for Tabular Data. WISE 2024, CCF-C

🔬科研项目

• 国家关键软件高层次人才博士生专项"基于大语言模型的自动化数据分析", 2022-2025, 主持

• 国家自然科学基金联合基金重点项目"云原生数据库弹性伸缩关键技术", 2022-2025, 参与

📚开授课程

• 人工智能导论

🤝学术服务

• IEEE Transactions on Knowledge and Data Engineering 2025 审稿人

• EuroSys 2026 审稿人

• International Conference on Database Systems for Advanced Applications (DASFAA 2024/2025/2026) 审稿人

• 2025 IEEE BDDM 分论坛主席、审稿人

• ACM International Conference on Information and Knowledge Management (CIKM 2024) 审稿人

🏆奖励荣誉

• 上海市优秀毕业生（博士研究生）, 2026

• 华东师范大学校长奖学金（华东师范大学研究生最高荣誉奖学金）, 2025

• 博士研究生企业一等奖学金, 2025

• 华东师范大学优秀学生干部, 2025

• IEEE BDDM 最佳论文奖、最佳分论坛组织奖、最佳主持人奖, 2025

• PingCAP 第十届全球黑客马拉松大赛（产品创新赛道）一等奖, 2025

• 博士研究生国家奖学金, 2024

• VMware 全球黑客马拉松大赛铜牌, 2022