SINGA: A Distributed Deep Learning Platform. - Beng Chin Ooi; Kian-Lee Tan; Sheng Wang 011; Wei Wang 059; Qingchao Cai; Gang Chen 001; Jinyang Gao; Zhaojing Luo; Anthony K. H. Tung; Yuan Wang 003; Zhongle Xie; Meihui Zhang 001; et al. (ACM Multimedia, 2015)

epiCG: A GraphUnit Based Graph Processing Engine on epiC. - Yanyan Shen; Qingchao Cai; Wei Lu 015; Dalie Sun; Zhongle Xie (Big Data Res., 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)

Parallelizing Skip Lists for In-Memory Multi-Core Database Systems. - Zhongle Xie; Qingchao Cai; H. V. Jagadish; Beng Chin Ooi; Weng-Fai Wong (ICDE, 2017)

UStore: A Distributed Storage With Rich Semantics. - Tien Tuan Anh Dinh; Ji Wang 006; Sheng Wang 011; Gang Chen 001; Wei-Ngan Chin; Qian Lin 002; Beng Chin Ooi; Pingcheng Ruan; Kian-Lee Tan; Zhongle Xie; Hao Zhang 029; Meihui Zhang 001 (CoRR, 2017)

A Comprehensive Performance Evaluation of Modern In-Memory Indices. - Zhongle Xie; Qingchao Cai; Gang Chen 001; Rui Mao 001; Meihui Zhang 001 (ICDE, 2018)

Cohort Analysis with Ease. - Zhongle Xie; Qingchao Cai; Fei He; Gene Yan Ooi; Weilong Huang; Beng Chin Ooi (SIGMOD Conference, 2018)

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. - Sheng Wang 011; Tien Tuan Anh Dinh; Qian Lin 002; Zhongle Xie; Meihui Zhang 001; Qingchao Cai; Gang Chen 001; Wanzeng Fu; Beng Chin Ooi; Pingcheng Ruan (CoRR, 2018)

Effective Temporal Dependence Discovery in Time Series Data. - Qingchao Cai; Zhongle Xie; Gang Chen 001; H. V. Jagadish; Beng Chin Ooi; Meihui Zhang 001 (Proc. VLDB Endow., 2018)

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications. - Sheng Wang 011; Tien Tuan Anh Dinh; Qian Lin 002; Zhongle Xie; Meihui Zhang 001; Qingchao Cai; Gang Chen 001; Beng Chin Ooi; Pingcheng Ruan (Proc. VLDB Endow., 2018)

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. - Qian Lin 002; Kaiyuan Yang 003; Tien Tuan Anh Dinh; Qingchao Cai; Gang Chen 001; Beng Chin Ooi; Pingcheng Ruan; Sheng Wang 011; Zhongle Xie; Meihui Zhang 001; Olafs Vandans (ICDE, 2020)

Cool, a COhort OnLine analytical processing system. - Zhongle Xie; Hongbin Ying; Cong Yue; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi (ICDE, 2020)

Analysis of Indexing Structures for Immutable Data. - Cong Yue; Zhongle Xie; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi; Sheng Wang 011; Xiaokui Xiao (SIGMOD Conference, 2020)

Spitz: A Verifiable Database System. - Meihui Zhang 001; Zhongle Xie; Cong Yue; Ziyue Zhong (Proc. VLDB Endow., 2020)

SynBERT: Chinese Synonym Discovery on Privacy-Constrain Medical Terms with Pre-trained BERT. - Ling-Ze Meng; Chang Yao; Meihui Zhang 001; Zhongle Xie (APWeb/WAIM (1), 2022)

Continual Federated Learning Based on Knowledge Distillation. - Yuhang Ma; Zhongle Xie; Jue Wang 019; Ke Chen 005; Lidan Shou (IJCAI, 2022)

A Sampling-based Learning Framework for Big Databases. - Jingtian Zhang; Sai Wu; Junbo Zhao 002; Zhongle Xie; Feifei Li 001; Yusong Gao; Gang Chen 001 (WWW, 2022)

GlassDB: Practical Verifiable Ledger Database Through Transparency. - Cong Yue; Tien Tuan Anh Dinh; Zhongle Xie; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi; Xiaokui Xiao (CoRR, 2022)

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. - Cong Yue; Tien Tuan Anh Dinh; Zhongle Xie; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi; Xiaokui Xiao (Proc. VLDB Endow., 2023)

A Survey on Deep Reinforcement Learning for Data Processing and Analytics. - Qingpeng Cai 002; Can Cui; Yiyuan Xiong; Wei Wang 059; Zhongle Xie; Meihui Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

LBSC: A Cost-Aware Caching Framework for Cloud Databases. - Zhaoxuan Ji; Zhongle Xie; Yuncheng Wu; Meihui Zhang 001 (ICDE, 2024)

Deep Kernel Calibration. - Zunlei Feng; Wenxiang Xu; Tian Qiu; Jie Lei 002; Huiqiong Wang; Zhongle Xie (IJCNN, 2024)

GAN Doctor: Diagnosing and Treating Inherent Semantic Errors. - Chengji Shen; Zunlei Feng; Zhongle Xie; Jie Lei 002; Huiqiong Wang; Mingli Song (IJCNN, 2024)

A Comprehensive Study of Shapley Value in Data Analytics. - Hong Lin; Shixin Wan; Zhongle Xie; Ke Chen 005; Meihui Zhang 001; Lidan Shou; Gang Chen 001 (CoRR, 2024)

Towards Automatic and Efficient Prediction Query Processing in Analytical Database. - Yuchen Peng; Zhongle Xie; Ke Chen 005; Gang Chen 001; Lidan Shou (ICDE, 2025)

Optimized Batch Prompting for Cost-effective LLMs. - Zhaoxuan Ji; Xinlu Wang; Zhaojing Luo; Zhongle Xie; Meihui Zhang 001 (Proc. VLDB Endow., 2025)

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Zhongle Xie; Ke Chen 005; Lidan Shou (CoRR, 2025)

FloE: On-the-Fly MoE Inference on Memory-constrained GPU. - Yuxin Zhou; Zheng Li 006; Jun Zhang 069; Jue Wang 019; Yiping Wang; Zhongle Xie; Ke Chen 005; Lidan Shou (CoRR, 2025)

HAKES: Scalable Vector Database for Embedding Search Service. - Guoyu Hu; Shaofeng Cai; Tien Tuan Anh Dinh; Zhongle Xie; Cong Yue; Gang Chen 001; Beng Chin Ooi (CoRR, 2025)

${ sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Zhongle Xie; Ke Chen 005; Lidan Shou (IEEE Trans. Knowl. Data Eng., 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, 2025)