Zhaojing Luo

According to our database, Zhaojing Luo authored at least 22 papers between 2015 and 2024.

Collaborative distances:

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

2024

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.

Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao

Proc. VLDB Endow., May, 2024

Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems.

Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei

Proc. VLDB Endow., January, 2024

Anytime Neural Architecture Search on Tabular Data.

Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei

CoRR, 2024

DMRNet: Effective Network for Accurate Discharge Medication Recommendation.

Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang

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

Applications and Challenges for Large Language Models: From Data Management Perspective.

Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai

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

KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction.

Zhaojing Luo, Chi Zhang, Hao Wang, Jiyun Shi, Meihui Zhang

Proceedings of the Database Systems for Advanced Applications, 2024

Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary.

Chi Zhang, Tao Chen, Jiehao Chen, Hao Wang, Jiyun Shi, Zhaojing Luo, Meihui Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.

Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang

Proc. VLDB Endow., 2023

Regularized Pairwise Relationship based Analytics for Structured Data.

Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi

Proc. ACM Manag. Data, 2023

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.

Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning.

Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

LDA-Reg: Knowledge Driven Regularization Using External Corpora.

Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie

IEEE Trans. Knowl. Data Eng., 2022

2021

Improving Data Analytics with Fast and Adaptive Regularization.

Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang

IEEE Trans. Knowl. Data Eng., 2021

AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.

Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.

Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.

Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Adaptive Knowledge Driven Regularization for Deep Neural Networks.

Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.

Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi

CoRR, 2020

2018

Adaptive Lightweight Regularization Tool for Complex Analytics.

Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee

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

2017

Big Healthcare Data Analytics: Challenges and Applications.

Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip

Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016

Towards longitudinal analysis of a population's electronic health records using factor graphs.

Arjun P. Athreya, Kee Yuan Ngiam, Zhaojing Luo, E. Shyong Tai, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 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