Zhongle just wants to speak with his publications.
📝 代表论文
- 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 - G Hu, S Cai, TTA Dinh, Z Xie*, C Yue, G Chen, BC Ooi: HAKES: Scalable Vector Database for Embedding Search Service.
VLDB 2025 - Z Ji, X Wang, Z Luo, Z Xie, M Zhang: Optimized Batch Prompting for Cost-effective LLMs.
VLDB 2025(To Appear) - 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 - 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 - Y Peng, Z Xie*, K Chen*, G Chen, L Shou: Towards Automatic and Efficient Prediction Query Processing in Analytical Database.
IEEE ICDE 2025
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Best RunnerUp Paper!
Z Ji, Z Xie, Y Wu, M Zhang: LBSC: A Cost-Aware Caching Framework for Cloud Databases.
IEEE ICDE 2024
- 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 - Y Ma, Z Xie, J Wang, K Chen, L Shou: Continual Federated Learning Based on Knowledge Distillation.
IJCAI 2022 - J Zhang, S Wu, J Zhao, Z Xie, F Li, Y Gao, G Chen: A sampling-based learning framework for big databases.
WWW 2022 - 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 - M Zhang, Z Xie, C Yue, Z Zhong: Spitz: A verifiable database system.
VLDB 2020 - C Yue, Z Xie, M Zhang, G Chen, BC Ooi, S Wang, X Xiao: Analysis of indexing structures for immutable data.
ACM SIGMOD 2020 - Z Xie, H Ying, C Yue, M Zhang, G Chen, BC Ooi: Cool, a COhort OnLine analytical processing system.
IEEE ICDE 2020 - Z Xie, Q Cai, F He, GY Ooi, W Huang, BC Ooi: Cohort analysis with ease.
ACM SIGMOD 2018Demo. - Z Xie, Q Cai, G Chen, R Mao, M Zhang: A comprehensive performance evaluation of modern in-memory indices.
IEEE ICDE 2018 - Q Cai, Z Xie, M Zhang, G Chen, HV Jagadish, BC Ooi: Effective temporal dependence discovery in time series data.
VLDB 2018 - 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 - Z Xie, Q Cai, HV Jagadish, BC Ooi, WF Wong: Parallelizing skip lists for in-memory multi-core database systems.
IEEE ICDE 2017 - BC Ooi, et al.: SINGA: A distributed deep learning platform.
ACM MM 2015
🏆 荣誉奖项
- June 2024 ACM SIGMOD 系统奖（System Awards）
- 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