Dongsheng Luo (骆东升)

Ph.D. Candidate
College of Information Science and Technology
The Pennsylvania State University
Email: x@ist.psu.edu where x = dul262
Office: E338 Westgate Building, State College, PA, 16802.

Linkedin, Github About Me


Short bio

I am currently a first second third fourth year Ph.D. student at the College of Information Science and Technology, Pennsylvania State University, supervised by Prof. Xiang Zhang. I obtained my B.Eng degree in computer science and technology from Beihang University in 2017, supervised by Prof. Shuai Ma. I was an exchange student at Technical University of Munich, Munich, Germany. My research focuses on graph mining and graph related deep learning.

Research Interests

Graph Mining, Multi-network Analysis, Deep Learning, Big Data Analysis

Publications

Local Community Detection in Multiple Networks. [pdf][code&data][data(DBLP)][slides][video]
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
in Proceedings of 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD),2020

Deep Multi-Graph Clustering via Attentive Cross-Graph Association [pdf][poster] [spotlight][code&data]
Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu and Xiang Zhang
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2020

A Collective Approach to Scholar Name Disambiguation. [pdf] [code][demo]
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, and Jinpeng Huai
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

Memory-Based Random Walk for Multi-Query Local Community Detection. [repo] [code&data]
Yuchen Bian*, Dongsheng Luo*, Yaowei Yan, Wei Cheng, Wei Wang, and Xiang Zhang
Knowledge and Information Systems (KAIS), 2019 (Extended version of the ICDM'2018 paper)

Constrained Local Graph Clustering by Colored Random Walk
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, and Xiang Zhang
Proceedings of the International Conference on World Wide Web (WWW), 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019

Adaptive Neural Network for Node Classification in Dynamic Networks
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang.
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2019

On Multi-Query Local Community Detection. [repo] [code&data]
Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, and Xiang Zhang
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2018 (Best Paper Candidate)

Query Independent Scholarly Article Ranking
Shuai Ma, Chen Gong, Renjun Hu, Dongsheng Luo, Chunming Hu, and Jinpeng Huai
Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2018

Local Graph Clustering by Multi-Network Random Walk with Restart [code]
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Yu, John Yen, and Xiang Zhang
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018

Ensemble Enabled Weighted PageRank[pdf]
Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, and Shuai Ma
The WSDM Cup 2016 - Entity Ranking Challenge, San Francisco, CA, USA, 2016. (The 2nd place in the final ranking)

Research Experiences

College of Information Sciences and Technology, The Pennsylvania State University, PA, U.S.
Graduate Research Assistant, Aug. 2017 - Present
Supervisor: Prof. Xiang Zhang

NEC Laboratories America, NJ, U.S.
Intern, May. 2020 - Aug. 2020
Supervisor: Dr. Wei Cheng

Big Data Lab, Baidu Research, Beijing, China
Intern, Jun. 2019 - Sep. 2019
Supervisor: Prof. Jun (Luke) Huan
Topic: Recommendation System

Institute of Advanced Computing Technology, Beihang University, Beijing, China
Undergraduate Research Assistant, Jul. 2015 - Jun. 2017
Supervisor: Prof. Shuai Ma
Topic: Scholarly article ranking & scholarly name disambiguation.

Teaching Experiences

Teaching Assistant
IST 210: Organization of Data (Fall 2020, Fall 2019)
IST 558: Data Mining II (Spring 2020)
IST 242: Intermediate & Object-Oriented Application Development (Spring 2019)

Mentoring

Yingheng Wang (Jan.-Feb. 2019), Undergraduate student at Tongji University, will be a Master student at Tsinghua University.
Wenhan Deng (May 2020-), Undergraduate student at University of Michigan, Ann Arbor

Professional Services

PC Members:
KDD'20
AAAI'21

Journal Reviewer:
Data Mining and Knowledge Discovery (DMKD)

External Conference reviewer:
ICDM'18, KDD'18, SDM'18, WSDM'19, AAAI'19, SDM'19, KDD'19, CIKM'19, ICDM'19, WSDM'20, AAAI'20, WWW'20, SDM'20, WSDM'21

Honors and Awards

KDD Registration Award, 2020
IST Travel Award, 2020
Best Paper Award Candidate, ICDM, 2018
Outstanding Undergraduate Student Award of Beijing City, 2017
CSC Outstanding Undergraduate Exchange Program Award, 2016
WSDM Cup 2016 – Entity Ranking Challenge the 2nd place in the final ranking, 2016
China National Undergraduate Scholarship: 2014, 2015


*Last updated on 09/02/2020*