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硕士生导师

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硕士生导师

姓名：罗迪新
所在学科：计算机科学与技术
职称：预聘助理教授、特别副研究员
联系电话：
E-mail：dixin.luo@bit.edu.cn
通信地址：软件楼610

个人信息

罗迪新，博士，预聘助理教授、特别副研究员，硕士生导师。于上海交通大学获得学士和博士学位，博士在读期间于美国佐治亚理工学院访学。曾任加拿大多伦多大学和美国杜克大学博士后、研究员。主要研究方向包括数据挖掘与机器学习，尤其是时序数据分析、图分析和智慧医疗。发表高水平SCI/EI论文近20篇，包括多篇ICML、NeurIPS、AAAI、IJCAI、TKDE等CCF-A类国际顶级会议和期刊，授权发明专利1项，Google Scholar统计引用200余次。担任TKDE、TNNLS、ICML、NeurIPS、AAAI等国际顶级期刊和会议的审稿人。

科研方向

数据挖掘、机器学习

代表性学术成果

H. Xu, Dixin Luo*, L. Carin, H. Zha: Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI 2021.

Dixin Luo, H. Xu, R. Henao, S. Shah, L. Carin: Learning Autoencoders with Relational Regularization. ICML 2020.

Dixin Luo, H. Xu, L. Carin: Fused Gromov-Wasserstein Alignment for Hawkes Processes. Learning with Temporal Point Processes, NeurIPS 2019 Workshop.

H. Xu, Dixin Luo, L. Carin: Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. NeurIPS 2019.

Dixin Luo, H. Xu and L. Carin: Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes. ICML Time Series Workshop 2019.

H. Xu, Dixin Luo, H. Zha, L. Carin: Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML 2019.

H. Xu, Dixin Luo, L. Carin: Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. IJCAI-ECAI 2018.

H. Xu, Dixin Luo, X. Chen and L. Carin: Benefits from Superposed Hawkes Processes. AISTATS 2018.

H. Xu, Dixin Luo, H.Zha: Learning Hawkes Processes from Short Doubly-Censored Event Sequences. ICML 2017.

Dixin Luo, H. Xu, Y. Zhen, B. N. Dilkina, H. Zha, X. Yang, W. Zhang: Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Trans. Knowl. Data Eng. 28(6): 1518-1531 (2016)

K. A. Lyons, E.Stroulia, Dixin Luo, R. J. Miller, V. Onut: Data-driven knowledge mobilization. CASCON 2016: 280-282

H. Xu, L. Yu, Dixin Luo, H. Zha, Y. Xu: Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI 2015: 3101-3107

Dixin Luo, H. Xu, Y. Zhen, X. Ning, H. Zha, X. Yang, W. Zhang: Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. IJCAI 2015: 3685-3691

Dixin Luo, H. Xu, H. Zha, J. Du, R. Xie, X. Yang, W. Zhang: You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data. IEEE Transactions on Broadcasting 60(1): 61-72 (2014)

H. Xu, Dixin Luo, X. Huo, X. Yang: World Expo Problem and Its Mixed Integer Programming Based Solution. BSI@PAKDD/BSIC@IJCAI 2013: 56-67

承担科研情况

所获奖励

社会兼职

Co-chair, The Workshop on Data-driven Knowledge Mobilization, CASCON 2016

Journal reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Conference reviewer, ICML 2020, ICML 2021, NeurIPS 2020, AAAI 2021

备注

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

个人主页：https://sites.google.com/view/dixinluo