🔍 研究方向
本人的研究方向位于数据系统与AI的交叉领域，主要关注如何构建高效、可扩展且具备良好可用性的智能系统，致力于研究AI工作负载在数据与系统基础设施上的运行特性，并通过系统与数据层面的优化方法，提升模型计算效率、数据利用效率以及系统性能，为复杂数据驱动型应用提供可靠支撑。
在研究方法上，本人强调以数据为中心、以系统为支撑的AI研究视角。不同于单纯从模型或算法层面进行优化，本人更关注数据组织方式、访问机制以及系统执行策略对 AI 效率与稳定性的影响。通过分析数据与计算在系统中的协同关系，本人希望探索能够在保持模型能力的同时，有效降低系统开销、提升运行效率的通用方法。
在较早阶段的研究中，本人主要围绕数据分析系统中的效率与完整性问题开展工作，积累了扎实的系统研究基础。此后，本人有较长一段时间深入参与创业，直接面对真实系统的设计、实现与演进。这段经历更加全面的打磨了本人对系统在工程环境中的性能、可靠性与可维护性等方面的认识，也进一步塑造了对“可落地系统研究”的理解。期间，本人曾指导并协作过多位系统与数据工程师，相关经验持续影响着目前的研究方向与问题选择。
📝 代表论文
🔖 或 
会议
[C23] T Lin, et al.. OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis. ICLR 2026
[C22] C Lv, H Li, D Yang, Z Xie, L Chen, CS Jensen. DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data. VLDB 2026
[C21] Y Peng, D Yang, Z Xie, J Sun, L Shou, K Chen, G Chen. SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search. VLDB 2026 
[C20] Y Wu, et al.. SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses. VLDB 2026
[C19] S Wu, et al.. MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference. SIGMOD 2026
期刊
[J4] X Chen, Z Xie*, H Li, K Chen, L Shou, D Jiang, G Chen. PIMSHARE: Scheduling for Multi-DNN Inference on Processing-in-memory Accelerated Edge Server. IEEE TCAD 2026 (To Appear)
会议
[C18] H Lin, S Wan, Z Xie*, K Chen*, M Zhang, L Shou, G Chen. A Comprehensive Study of Shapley Value in Data Analytics. VLDB 2025
[C17] G Hu, S Cai, TTA Dinh, Z Xie*, C Yue, G Chen, BC Ooi. HAKES: Scalable Vector Database for Embedding Search Service. VLDB 2025
[C16] Z Ji, X Wang, Z Luo, Z Xie, M Zhang. Optimized Batch Prompting for Cost-effective LLMs. VLDB 2025
[C15] Y Zhou, Z Li, J Zhang, J Wang, Y Wang, Z Xie*, K Chen, L Shou*. FloE: On-the-Fly MoE Inference on Memory-constrained GPU. ICML 2025
[C14] Y Peng, Z Xie*, K Chen*, G Chen, L Shou. Towards Automatic and Efficient Prediction Query Processing in Analytical Database. IEEE ICDE 2025
期刊
[J3] P Lu, Z Xie*, D Jiang, K Chen, L Shou. Cohort query processing without misleading aging effects. The VLDB Journal
[J2] J Zhang, J Wang, H Li, Z Xie, K Chen, L Shou. CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. IEEE TKDE 2025
会议
[C13] Best RunnerUp Paper! Z Ji, Z Xie, Y Wu, M Zhang. LBSC: A Cost-Aware Caching Framework for Cloud Databases. IEEE ICDE 2024
会议
[C12] C Yue, TTA Dinh, Z Xie, M Zhang, G Chen, BC Ooi, X Xiao. GlassDB: An efficient verifiable ledger database system through transparency. VLDB 2023
[C11] Y Ma, Z Xie, J Wang, K Chen, L Shou. Continual Federated Learning Based on Knowledge Distillation. IJCAI 2022
[C10] J Zhang, S Wu, J Zhao, Z Xie, F Li, Y Gao, G Chen. A sampling-based learning framework for big databases. WWW 2022
[C9] M Zhang, Z Xie, C Yue, Z Zhong. Spitz: A verifiable database system. VLDB 2020
[C8] C Yue, Z Xie, M Zhang, G Chen, BC Ooi, S Wang, X Xiao. Analysis of indexing structures for immutable data. ACM SIGMOD 2020
[C7] Z Xie, H Ying, C Yue, M Zhang, G Chen, BC Ooi. Cool, a COhort OnLine analytical processing system. IEEE ICDE 2020
[C6] Z Xie, Q Cai, F He, GY Ooi, W Huang, BC Ooi. Cohort analysis with ease. ACM SIGMOD 2018 Demo.
[C5] Z Xie, Q Cai, G Chen, R Mao, M Zhang: A comprehensive performance evaluation of modern in-memory indices. IEEE ICDE 2018
[C4] Q Cai, Z Xie, M Zhang, G Chen, HV Jagadish, BC Ooi. Effective temporal dependence discovery in time series data. VLDB 2018
[C3] S Wang, TTA Dinh, Q Lin, Z Xie, M Zhang, Q Cai, G Chen, W Fu, BC Ooi, P Ruan. Forkbase: An efficient storage engine for blockchain and forkable applications. VLDB 2018
[C2] Z Xie, Q Cai, HV Jagadish, BC Ooi, WF Wong. Parallelizing skip lists for in-memory multi-core database systems. IEEE ICDE 2017
[C1] BC Ooi, et al.. SINGA: A distributed deep learning platform. ACM MM 2015
期刊
[J1] Q Cai, C Cui, Y Xiong, W Wang, Z Xie, M Zhang. A survey on deep reinforcement learning for data processing and analytics. IEEE TKDE 2022
🏆 荣誉奖项
- Sep 2025 CCF科技成果奖自然科学二等奖
- June 2024 ACM SIGMOD 系统奖（Systems Award）
- April 2024 IEEE ICDE 最佳论文亚军（Best Paper Runner Up）
- Aug 2024 VLDB 杰出审稿人（Distinguished Reviwer）
📖 教育经历
- 2014.08 - 2020.01, 新加坡国立大学, 博士, 导师：黄铭钧（Beng Chin OOI）.
- 2010.09 - 2014.06, 上海交通大学, 学士, 导师：姚斌.
🧙 学术活动