个人信息

罗兆经，北京理工大学准聘教授、博士生导师、入选国家级青年人才。2019年在新加坡国立大学获得博士学位。2020至2023年在新加坡国立大学先后担任研究员、高级研究员。2023年12月加入永利皇宫463cc，主要从事结构化数据分析理论方法与系统的研究。在SIGMOD、VLDB、ICDE、AAAI等CCF推荐A类会议和TKDE等CCF推荐A类期刊发表了多篇论文。获得SIGMOD Systems Award（2024）、ICDE Best Paper Runner-Up（2018）、BDCAT Best Paper Award（2016）、中国计算机学会百名优秀大学生等奖项。 参与开发的Apache SINGA分布式深度学习平台成为Apache顶级开源项目，被评为全球十大机器学习框架并且应用在了网易，新加坡中央医院，花旗集团，等十几个公司和机构。

News: 每年计划招收博士生1名，硕士生2-3名，同时也欢迎对科研感兴趣的高年级本科生加入实验室。

个人主页：https://zhaojingluo.github.io/

科研方向

大数据分析、结构化数据分析、人工智能、知识驱动机器/深度学习、模型正则化、大数据分析系统等

代表性学术成果

1. Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo*, Yuncheng Wu, Chengliang Chai: Applications and Challenges for Large Language Models: From Data Management Perspective. IEEE International Conference on Data Engineering (ICDE) (2024) (CCF A类)

2. JiyunShi, Yuqiao Wang, Chi Zhang, Zhaojing Luo*, Chengliang Chai, Meihui Zhang: DMRNet: Effective Network for Accurate Discharge Medication Recommendation. IEEE International Conference on Data Engineering (ICDE) (2024) (CCF A类)

3. Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao: Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. International Conference on Very Large Data Bases (VLDB), PVLDB 17 (2024) (CCF A类)

4. Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei: Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. International Conference on Very Large Data Bases (VLDB), PVLDB 17(5): 1020- 1033 (2024) (CCF A类)

5. Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang: ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 5071-5081 (2023) (CCF A类)

6. Yuncheng Wu, Naili Xing, Gang Chen, Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang: Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. International Conference on Very Large Data Bases (VLDB),  PVLDB 16(10): 2471- 2484 (2023) (CCF A类)

7. Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi: Regularized Pairwise Relationship based Analytics for Structured Data. International Conference on Management of Data (SIGMOD), 1(1): 1-27 (2023) (CCF A类)

8. Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang: PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. IEEE International Conference on Data Engineering (ICDE), pp. 394-407 (2023) (CCF A类)

9. 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. IEEE International Conference on Data Engineering (ICDE), pp. 1655-1666 (2021) (CCF A类)

10. Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang: Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI Conference on Artificial Intelligence (AAAI), 35(10): 8810-8818 (2021) (CCF A类)

11. Kai Yang, Zhaojing Luo*, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie: LDA-Reg: Knowledge Driven Regularization using External Corpora. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(12): 5840-5853 (2021) (CCF A类)

12. Lei Zhu, Zhaojing Luo*, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng: Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. ACM International Conference on Multimedia (ACM MM), pp. 3024–3033 (2021) (CCF A类)

13. Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi: AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment. International Conference on Management of Data (SIGMOD), pp. 2208–2216 (2021) (CCF A类)

14. 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 Transactions on Knowledge and Data Engineering (TKDE), 33(2): 551-568 (2019) (CCF A类)

15. Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee: Adaptive lightweight regularization tool for complex analytics. IEEE International Conference on Data Engineering (ICDE), pp. 485-496 (2018) (CCF A类)

16. Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, Wei Luen James Yip: Big healthcare data analytics: Challenges and applications. In: Handbook of Large-Scale Distributed Computing in Smart Healthcare, pp. 11-41, Springer (2017)

17. 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. IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), pp. 79–86 (2016)

18. Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony KH Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, Kaiping Zheng: SINGA: A distributed deep learning platform. ACM International Conference on Multimedia (ACM MM), pp. 685–688 (2015) (CCF A类)

承担科研情况

所获奖励

2024 SIGMOD Systems Award

2018 IEEE ICDE最佳论文提名奖

2016 BDCAT 最佳论文奖

中国计算机学会百名优秀大学生

社会兼职

会议任职

· VLDB 2024 Publicity Chair

· ICDE 2024 Session Chair

· ICDE 2023 Session Chair

· DASFAA 2021 Session Chair

程序委员会委员

· ICDE: 2023, 2022

· VLDB: 2024

· EDBT (Demo Track): 2022

· CIKM: 2024

· DASFAA: 2024, 2023, 2022, 2021

· ADMA: 2024, 2023

审稿人

· VLDB Journal, TKDE, AAAI, IJIS, JCST, Big Data Research, TDS, TIST

其他

· Apache SINGA（Apache顶级开源项目）项目管委会委员

备注

DBLP: https://dblp.org/pid/169/3426.html

Google Scholar: https://scholar.google.com/citations?user=963a9psAAAAJ&hl=en