Zhongle just wants to speak with his publications.

📝 Selected Publications

• 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

• 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 2018 Demo.
• 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

🏆 Awards and Honors

• June 2024 SIGMOD Best System Awards
• April 2024 ICDE Best RunnerUp Paper
• Aug 2024 VLDB Distinguished Reviwer

📖 Educations

• 2014.08 - 2020.01, National University of Singapore, Ph.D., supervised by Prof. Beng Chin OOI.
• 2010.09 - 2014.06, Shanghai Jiao Tong University, Bachelor, supervised by Prof. Bin YAO.

🧙 Professional Activities

• VLDB Review Board/PC Member: 2022, 2023, 2024, 2026
• ICDE PC Member: 2023
• EDBT PC Member: 2026
• CIKM PC Member: 2025

🎓 Students