Zhongle Xie

According to our database, Zhongle Xie authored at least 45 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics.

Lingze Zeng, Shaofeng Cai, Changshuo Liu, Zhongle Xie, Yuncheng Wu, Beng Chin Ooi

CoRR, May, 2026

FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances.

Junjie Song, Yu Liu, Guoyu Hu, Zhongle Xie, Ming Yang, Beng Chin Ooi, Ke Zhou

CoRR, May, 2026

Towards Effective Orchestration of AI x DB Workloads.

Naili Xing, Haotian Gao, Zhanhao Zhao, Shaofeng Cai, Zhaojing Luo, Yuncheng Wu, Zhongle Xie, Meihui Zhang, Beng Chin Ooi

CoRR, March, 2026

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis.

Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng LU, Yueting Zhuang, Ling Zhang, Beng Chin Ooi, Yingda Xia

CoRR, February, 2026

Query as Anchor: Scenario-Adaptive User Representation via Large Language Model.

Jiahao Yuan, Yike Xu, Jinyong Wen, Baokun Wang, Ziyi Gao, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie

CoRR, February, 2026

SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search.

Yuchen Peng, Dingyu Yang, Zhongle Xie, Ji Sun, Lidan Shou, Ke Chen, Gang Chen

Proc. VLDB Endow., January, 2026

CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning.

Zhenxuan Fan, Jie Cao, Yang Dai, Zheqi Lv, Wenqiao Zhang, Zhongle Xie, Peng Lu, Beng Chin Ooi

CoRR, January, 2026

DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data.

Chuanyi Lv, Huan Li, Dingyu Yang, Zhongle Xie, Lu Chen, Christian S. Jensen

CoRR, January, 2026

TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs.

Sibo Xiao, Jinyuan Fu, Zhongle Xie, Lidan Shou

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses.

Yifan Wu, Yuhan Li, Zhenhua Wang, Zhongle Xie, Dingyu Yang, Ke Chen, Lidan Shou, Bo Tang, Liang Lin, Huan Li, Gang Chen

Proc. VLDB Endow., December, 2025

Cohort query processing without misleading aging effects.

Pengkai Lu, Zhongle Xie, Dawei Jiang, Ke Chen, Lidan Shou

VLDB J., November, 2025

Generative AI for Healthcare: Fundamentals, Challenges, and Perspectives.

Gang Chen, Changshuo Liu, Gene Anne Ooi, Marcus Tan, Zhongle Xie, Jianwei Yin, James Wei Luen Yip, Wenqiao Zhang, Jiaqi Zhu, Beng Chin Ooi

CoRR, October, 2025

Instruction-aware User Embedding via Synergistic Language and Representation Modeling.

Ziyi Gao, Yike Xu, Jiahao Yuan, Baokun Wang, Jinyong Wen, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie

CoRR, October, 2025

A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition.

Xinkui Zhao, Jinsong Shu, Yangyang Wu, Guanjie Cheng, Zihe Liu, Naibo Wang, Shuiguang Deng, Zhongle Xie, Jianwei Yin

CoRR, July, 2025

${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.

Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou

IEEE Trans. Knowl. Data Eng., June, 2025

A Comprehensive Study of Shapley Value in Data Analytics.

Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen

Proc. VLDB Endow., May, 2025

HAKES: Scalable Vector Database for Embedding Search Service.

Guoyu Hu, Shaofeng Cai, Tien Tuan Anh Dinh, Zhongle Xie, Cong Yue, Gang Chen, Beng Chin Ooi

Proc. VLDB Endow., May, 2025

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.

Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou

CoRR, April, 2025

Optimized Batch Prompting for Cost-effective LLMs.

Zhaoxuan Ji, Xinlu Wang, Zhaojing Luo, Zhongle Xie, Meihui Zhang

Proc. VLDB Endow., March, 2025

MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference.

Sai Wu, Ruichen Xia, Dingyu Yang, Rui Wang, Huihang Lai, Jiarui Guan, Jiameng Bai, Dongxiang Zhang, Xiu Tang, Zhongle Xie, Peng Lu, Gang Chen

Proc. ACM Manag. Data, 2025

FloE: On-the-Fly MoE Inference on Memory-constrained GPU.

Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Automatic and Efficient Prediction Query Processing in Analytical Database.

Yuchen Peng, Zhongle Xie, Ke Chen, Gang Chen, Lidan Shou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

GAN Doctor: Diagnosing and Treating Inherent Semantic Errors.

Chengji Shen, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, Mingli Song

Proceedings of the International Joint Conference on Neural Networks, 2024

Deep Kernel Calibration.

Zunlei Feng, Wenxiang Xu, Tian Qiu, Jie Lei, Huiqiong Wang, Zhongle Xie

Proceedings of the International Joint Conference on Neural Networks, 2024

LBSC: A Cost-Aware Caching Framework for Cloud Databases.

Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

A Survey on Deep Reinforcement Learning for Data Processing and Analytics.

Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang

IEEE Trans. Knowl. Data Eng., May, 2023

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency.

Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao

Proc. VLDB Endow., 2023

2022

GlassDB: Practical Verifiable Ledger Database Through Transparency.

Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao

CoRR, 2022

A Sampling-based Learning Framework for Big Databases.

Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Continual Federated Learning Based on Knowledge Distillation.

Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT.

Ling-Ze Meng, Chang Yao, Meihui Zhang, Zhongle Xie

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2020

Spitz: A Verifiable Database System.

Meihui Zhang, Zhongle Xie, Cong Yue, Ziyue Zhong

Proc. VLDB Endow., 2020

Analysis of Indexing Structures for Immutable Data.

Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao

Proceedings of the 2020 International Conference on Management of Data, 2020

Cool, a COhort OnLine analytical processing system.

Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications.

Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2018

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications.

Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan

Proc. VLDB Endow., 2018

Effective Temporal Dependence Discovery in Time Series Data.

Qingchao Cai, Zhongle Xie, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang

Proc. VLDB Endow., 2018

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications.

Sheng Wang, Tien Tuan Anh Dinh, Qian Lin, Zhongle Xie, Meihui Zhang, Qingchao Cai, Gang Chen, Wanzeng Fu, Beng Chin Ooi, Pingcheng Ruan

CoRR, 2018

Cohort Analysis with Ease.

Zhongle Xie, Qingchao Cai, Fei He, Gene Yan Ooi, Weilong Huang, Beng Chin Ooi

Proceedings of the 2018 International Conference on Management of Data, 2018

A Comprehensive Performance Evaluation of Modern In-Memory Indices.

Zhongle Xie, Qingchao Cai, Gang Chen, Rui Mao, Meihui Zhang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

UStore: A Distributed Storage With Rich Semantics.

Tien Tuan Anh Dinh, Ji Wang, Sheng Wang, Gang Chen, Wei-Ngan Chin, Qian Lin, Beng Chin Ooi, Pingcheng Ruan, Kian-Lee Tan, Zhongle Xie, Hao Zhang, Meihui Zhang

CoRR, 2017

Parallelizing Skip Lists for In-Memory Multi-Core Database Systems.

Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

PI : a Parallel in-memory skip list based Index.

Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong

CoRR, 2016

epiCG: A GraphUnit Based Graph Processing Engine on epiC.

Yanyan Shen, Qingchao Cai, Wei Lu, Dalie Sun, Zhongle Xie

Big Data Res., 2016

2015

SINGA: A Distributed Deep Learning Platform.

Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony K. H. Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, Kaiping Zheng

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015