Zhongle Xie

According to our database, Zhongle Xie authored at least 31 papers between 2015 and 2025.

Collaborative distances:

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

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

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

CoRR, 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

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