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2020 – today
- 2024
[j6]Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17(5): 1020-1033 (2024)- [j5]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. 17(9): 2321-2334 (2024) - [c13]Chi Zhang
, Tao Chen, Jiehao Chen, Hao Wang, Jiyun Shi, Zhaojing Luo, Meihui Zhang:
Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary. CIKM 2024: 3124-3134 - [c12]Zhaojing Luo, Chi Zhang, Hao Wang, Jiyun Shi, Meihui Zhang:
KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction. DASFAA (4) 2024: 307-323 - [c11]Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang:
DMRNet: Effective Network for Accurate Discharge Medication Recommendation. ICDE 2024: 3393-3406 - [c10]Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai:
Applications and Challenges for Large Language Models: From Data Management Perspective. ICDE 2024: 5530-5541 - [i5]Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Anytime Neural Architecture Search on Tabular Data. CoRR abs/2403.10318 (2024) - 2023
- [j4]Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi:
Regularized Pairwise Relationship based Analytics for Structured Data. Proc. ACM Manag. Data 1(1): 82:1-82:27 (2023) - [j3]Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang:
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16(10): 2471-2484 (2023) - [c9]Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang:
PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. ICDE 2023: 394-407 - [c8]Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang:
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection. KDD 2023: 5071-5081 - [i4]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR abs/2311.15310 (2023) - 2022
- [j2]Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie:
LDA-Reg: Knowledge Driven Regularization Using External Corpora. IEEE Trans. Knowl. Data Eng. 34(12): 5840-5853 (2022) - 2021
- [j1]Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang:
Improving Data Analytics with Fast and Adaptive Regularization. IEEE Trans. Knowl. Data Eng. 33(2): 551-568 (2021) - [c7]Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang:
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI 2021: 8810-8818 - [c6]Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi:
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. ICDE 2021: 1655-1666 - [c5]Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng:
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. ACM Multimedia 2021: 3024-3033 - [c4]Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi:
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. SIGMOD Conference 2021: 2208-2216 - [i3]Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi:
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. CoRR abs/2103.16196 (2021) - [i2]Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng:
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. CoRR abs/2109.04284 (2021) - 2020
- [i1]Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi:
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. CoRR abs/2010.10246 (2020)
2010 – 2019
- 2018
- [c3]Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee:
Adaptive Lightweight Regularization Tool for Complex Analytics. ICDE 2018: 485-496 - 2017
- [p1]Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, James Wei Luen Yip:
Big Healthcare Data Analytics: Challenges and Applications. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 11-41 - 2016
- [c2]Arjun P. Athreya, Kee Yuan Ngiam, Zhaojing Luo, E. Shyong Tai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Towards longitudinal analysis of a population's electronic health records using factor graphs. BDCAT 2016: 79-86 - 2015
- [c1]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:
SINGA: A Distributed Deep Learning Platform. ACM Multimedia 2015: 685-688
Coauthor Index
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last updated on 2024-12-01 01:16 CET by the dblp team
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