Zhaojing Luo

33 papers A* 10A 1C 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models.
CoRR
Zhizhao Luo, Zhaojing Luo, Meihui Zhang, Rui Mao
2026 J jnl
Towards Effective Orchestration of AI x DB Workloads.
CoRR
Naili Xing, Haotian Gao, Zhanhao Zhao, Shaofeng Cai, Zhaojing Luo, Yuncheng Wu, Zhongle Xie, Meihui Zhang, Beng Chin Ooi
2025 J jnl
Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis.
CoRR
Meihui Zhang, Liming Wang, Chi Zhang, Zhaojing Luo
2025 J jnl
AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA.
Proc. ACM Manag. Data
Chi Zhang, Meihui Zhang, Yuxin Yang, Tao Chen, Zhaojing Luo
2025 J jnl
AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction.
Proc. ACM Manag. Data
Liming Wang, Meihui Zhang, Zhaojing Luo
2025 J jnl
Optimized Batch Prompting for Cost-effective LLMs.
Proc. VLDB Endow.
Zhaoxuan Ji, Xinlu Wang, Zhaojing Luo, Zhongle Xie, Meihui Zhang
2025 A* conf
PFCA: Efficient Path Filtering with Causal Analysis for Healthcare Risk Prediction.
ICDE
Hao Wang, Jiyun Shi, Yuhao Chen, Haochen Xu, Chi Zhang, Zhaojing Luo, Meihui Zhang
2024 J jnl
Anytime Neural Architecture Search on Tabular Data.
CoRR
Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei
2024 A* conf
Applications and Challenges for Large Language Models: From Data Management Perspective.
ICDE
Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai
2024 A conf
Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary.
CIKM
Chi Zhang, Tao Chen, Jiehao Chen, Hao Wang, Jiyun Shi, Zhaojing Luo, Meihui Zhang
2024 A* conf
DMRNet: Effective Network for Accurate Discharge Medication Recommendation.
ICDE
Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang
2024 J jnl
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems.
Proc. VLDB Endow.
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei
2024 — conf
KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction.
DASFAA (4)
Zhaojing Luo, Chi Zhang, Hao Wang, Jiyun Shi, Meihui Zhang
2024 — conf
MG-CTG: A Framework for Controllable Text Generation Across Multiple Granularities.
DASFAA (5)
Xiao Gu, Zhaojing Luo, Meihui Zhang
2024 J jnl
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
Proc. VLDB Endow.
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2023 A* conf
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
KDD
Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang
2023 J jnl
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow.
Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
2023 A* conf
PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning.
ICDE
Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang
2023 J jnl
Regularized Pairwise Relationship based Analytics for Structured Data.
Proc. ACM Manag. Data
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi
2023 J jnl
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
CoRR
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2022 J jnl
LDA-Reg: Knowledge Driven Regularization Using External Corpora.
IEEE Trans. Knowl. Data Eng.
Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie
2021 A* conf
Adaptive Knowledge Driven Regularization for Deep Neural Networks.
AAAI
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang
2021 — conf
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.
SIGMOD Conference
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
2021 J jnl
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.
CoRR
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
2021 J jnl
Improving Data Analytics with Fast and Adaptive Regularization.
IEEE Trans. Knowl. Data Eng.
Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang
2021 A* conf
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
ICDE
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
2021 A* conf
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
ACM Multimedia
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
2021 J jnl
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
CoRR
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
2020 J jnl
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
CoRR
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
2018 A* conf
Adaptive Lightweight Regularization Tool for Complex Analytics.
ICDE
Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee
2017 — ch.
Big Healthcare Data Analytics: Challenges and Applications.
Handbook of Large-Scale Distributed Computing in Smart Healthcare
Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip
2016 C conf
Towards longitudinal analysis of a population's electronic health records using factor graphs.
BDCAT
Arjun P. Athreya, Kee Yuan Ngiam, Zhaojing Luo, E. Shyong Tai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2015 A* conf
SINGA: A Distributed Deep Learning Platform.
ACM Multimedia
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