Zhaojing Luo
Professor at School of Computing Science and Technology
Beijing Institute of Technology
Email: zjluo@bit.edu.cn; zhaojingluo@gmail.com
Bio.
I am a Professor at the School of Computing Science and Technology, Beijing Institute of Technology (BIT). I received a Ph.D. degree in Computer Science from NUS in 2020 supervised by Prof. Beng Chin Ooi, and a B.E. degree in Computer Science and Technology from Huazhong University of Science and Technology in 2014.
I'm interested in Structured Data Analytics, Knowledge Driven Deep/Machine Learning, Regularization, Data Analytics Systems, Healthcare Analytics and Fintech applications.
Selected Publications.
1. Applications and Challenges for Large Language Models: From Data Management Perspective
Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo*, Yuncheng Wu, Chengliang Chai
* corresponding author
IEEE International Conference on Data Engineering (ICDE), 2024 (CCF A)
2. DMRNet: Effective Network for Accurate Discharge Medication Recommendation
Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo*, Chengliang Chai, Meihui Zhang
* corresponding author
IEEE International Conference on Data Engineering (ICDE), 2024 (CCF A)
3. Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
International Conference on Very Large Data Bases (VLDB), 2024 (CCF A)
4. Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei
International Conference on Very Large Data Bases (VLDB), 2024 (CCF A)
5. ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection
Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023 (CCF A)
6. Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System
Yuncheng Wu, Naili Xing, Gang Chen, Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
International Conference on Very Large Data Bases (VLDB), 2023 (CCF A)
7. Regularized Pairwise Relationship based Analytics for Structured Data
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2023 (CCF A)
8. PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning
Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang
IEEE International Conference on Data Engineering (ICDE), 2023 (CCF A)
9. Towards robust cross-domain image understanding with unsupervised noise removal
Zhu, Lei, Zhaojing Luo*, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
* corresponding author
ACM international conference on Multimedia (MM), 2021 (CCF A)
10. LDA-Reg: Knowledge Driven Regularization using External Corpora
Kai Yang, Zhaojing Luo*, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie
* corresponding author
IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (CCF A)
11. 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
IEEE International Conference on Data Engineering (ICDE), 2021 (CCF A)
12. AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2021 (CCF A) (patent filed)
13. Adaptive Knowledge Driven Regularization for Deep Neural Networks
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang
AAAI Conference on Artificial Intelligence (AAAI), 2021 (CCF A)
14. 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 Transaction on Knowledge and Data Engineering (TKDE), 2019 (CCF A)
15. Adaptive Lightweight Regularization Tool for Complex Analytics
Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee
IEEE International Conference on Data Engineering (ICDE), 2018 (Best Paper Runner Up Award) (CCF A) (patent filed)
16. Big Healthcare Data Analytics: Challenges and Applications
Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, Wei Luen James Yip
Handbook of Large-Scale Distributed Computing in Smart Healthcare, Springer-Verlag, 2016
17. 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
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2016 (Best Paper Award)
18. 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
ACM international conference on Multimedia (MM), 2015. (CCF A)
Work Experience.
Professor [Dec 2023 - Present]
Beijing Institute of Technology, China
Senior Research Fellow [Apr 2023 - Dec 2023]
National University of Singapore, Singapore
Research Fellow [May 2020 - Mar 2023]
National University of Singapore, Singapore
Research Assistant [Apr 2018 - Apr 2020]
National University of Singapore, Singapore
Teaching Experience.
Teaching Assistant and Tutor
CS2102 - Database Systems, [Jan 2015 - May 2015]
IT2002 - Database Technology and Management, [Jan 2015 - May 2015]
CS2102 - Database Systems, [Aug 2015 - Dec 2015]
CS2102 - Database Systems, [Jan 2016 - May 2016]
BT5110 - Data Management and Warehousing, [Jan 2016 - May 2016]
CS2102 - Database Systems,[Aug 2016 - Dec 2016]
Professional Activities.
Invited Talks
- A Deep Learning Approach for Readmission Prediction, talk at Singapore-Illinois Workshop on Health Ageing and Technology, National University Hospital, Singapore, 2016.
- Readmission Prediction using Deep Learning, talk at Clinical Artificial Intelligence in the Age of Precision Medicine, National University Hospital, Singapore, 2017.
- Integrated Healthcare Analytics, healthcare software stack demonstration at NUS-NUHS-MIT Healthcare AI Datathon and EXPO, National University of Singapore, 2018.
Journals
- Invited reviewer for Big Data Research.
- Invited reviewer for ACM Transactions on Data Science (TDS).
- Invited reviewer for Journal of Computer Science and Technology (JCST).
- Invited reviewer for ACM Transactions on Intelligent Systems and Technology (TIST).
- Invited reviewer for Artificial Intelligence In Medicine.
- Invited reviewer for Artificial Intelligence Journal (AIJ).
- Invited reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE).
Conferences
- Program Committee member of DASFAA (2021).
- Session Chair in DASFAA (2021).
- Invited reviewer for AAAI Conference (2021).
- Program Committee member of ICDE (2022).
- Program Committee member of DASFAA (2022).
- Program Committee member of EDBT Demo Track (2022).
- Program Committee member of ICDE (2023).
- Session Chair of ICDE (2023).
- Program Committee member of ADMA (2023).
- Program Committee member of CIKM (2024).
- Program Committee member of DASFAA (2024).
- External reviewer for ICDE (2024).
- Session Chair of ICDE (2024).
- Reviewer for PVLDB (2024).
- Publicity Chair of VLDB (2024).
Others
- Project Management Committee (PMC) member of Apache SINGA Distributed Deep Learning Platform (Apache Top-Level Project).
