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)

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 (BDCAT, 2016)

Big Healthcare Data Analytics: Challenges and Applications. - Chonho Lee; Zhaojing Luo; Kee Yuan Ngiam; Meihui Zhang 001; Kaiping Zheng; Gang Chen 001; Beng Chin Ooi; James Wei Luen Yip (Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017)

Adaptive Lightweight Regularization Tool for Complex Analytics. - Zhaojing Luo; Shaofeng Cai; Jinyang Gao; Meihui Zhang 001; Kee Yuan Ngiam; Gang Chen 001; Wang-Chien Lee (ICDE, 2018)

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. - Zhaojing Luo; Sai Ho Yeung; Meihui Zhang 001; Kaiping Zheng; Gang Chen 001; Feiyi Fan; Qian Lin 002; Kee Yuan Ngiam; Beng Chin Ooi (CoRR, 2020)

Adaptive Knowledge Driven Regularization for Deep Neural Networks. - Zhaojing Luo; Shaofeng Cai; Can Cui; Beng Chin Ooi; Yang Yang 002 (AAAI, 2021)

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. - Zhaojing Luo; Sai Ho Yeung; Meihui Zhang 001; Kaiping Zheng; Lei Zhu 015; Gang Chen 001; Feiyi Fan; Qian Lin 002; Kee Yuan Ngiam; Beng Chin Ooi (ICDE, 2021)

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. - Lei Zhu 015; Zhaojing Luo; Wei Wang 059; Meihui Zhang 001; Gang Chen 001; Kaiping Zheng (ACM Multimedia, 2021)

AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. - Can Cui; Wei Wang 059; Meihui Zhang 001; Gang Chen 001; Zhaojing Luo; Beng Chin Ooi (SIGMOD Conference, 2021)

Improving Data Analytics with Fast and Adaptive Regularization. - Zhaojing Luo; Shaofeng Cai; Gang Chen 001; Jinyang Gao; Wang-Chien Lee; Kee Yuan Ngiam; Meihui Zhang 001 (IEEE Trans. Knowl. Data Eng., 2021)

LDA-Reg: Knowledge Driven Regularization Using External Corpora. - Kai Yang; Zhaojing Luo; Jinyang Gao; Junfeng Zhao 001; Beng Chin Ooi; Bing Xie (IEEE Trans. Knowl. Data Eng., 2022)

PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. - Jianing Zhang; Zhaojing Luo; Quanqing Xu; Meihui Zhang 001 (ICDE, 2023)

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection. - Huazhang Wang; Zhaojing Luo; James Wei Luen Yip; Chuyang Ye; Meihui Zhang 001 (KDD, 2023)

Regularized Pairwise Relationship based Analytics for Structured Data. - Zhaojing Luo; Shaofeng Cai; Yatong Wang; Beng Chin Ooi (Proc. ACM Manag. Data, 2023)

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. - Yuncheng Wu; Naili Xing; Gang Chen 001; Tien Tuan Anh Dinh; Zhaojing Luo; Beng Chin Ooi; Xiaokui Xiao; Meihui Zhang 001 (Proc. VLDB Endow., 2023)

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 001 (CIKM, 2024)

MG-CTG: A Framework for Controllable Text Generation Across Multiple Granularities. - Xiao Gu 005; Zhaojing Luo; Meihui Zhang 001 (DASFAA (5), 2024)

KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction. - Zhaojing Luo; Chi Zhang; Hao Wang; Jiyun Shi; Meihui Zhang 001 (DASFAA (4), 2024)

Applications and Challenges for Large Language Models: From Data Management Perspective. - Meihui Zhang 001; Zhaoxuan Ji; Zhaojing Luo; Yuncheng Wu; Chengliang Chai (ICDE, 2024)

DMRNet: Effective Network for Accurate Discharge Medication Recommendation. - Jiyun Shi; Yuqiao Wang; Chi Zhang; Zhaojing Luo; Chengliang Chai; Meihui Zhang 001 (ICDE, 2024)

Anytime Neural Architecture Search on Tabular Data. - Naili Xing; Shaofeng Cai; Zhaojing Luo; Beng Chin Ooi; Jian Pei 001 (CoRR, 2024)

Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. - Naili Xing; Shaofeng Cai; Gang Chen 001; Zhaojing Luo; Beng Chin Ooi; Jian Pei 001 (Proc. VLDB Endow., 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., 2024)

PFCA: Efficient Path Filtering with Causal Analysis for Healthcare Risk Prediction. - Hao Wang; Jiyun Shi; Yuhao Chen; Haochen Xu; Chi Zhang; Zhaojing Luo; Meihui Zhang 001 (ICDE, 2025)

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