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.

CV, Linkedin, Github, Google Scholar


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 data mining, deep learning, and natural language processing.

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I am looking for 2021 Summer internship, please contact me if you have opening positions.

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Research Interests

Graph Mining, Multi-network Analysis, Deep Learning, Big Data Analysis, Natural Language Processing

Updates

  • 10/2020: One paper, PTDNet, was accepted to WSDM'21.
  • 10/2020: Passed the M.S. thesis defense.
  • 09/2020: One paper, PGExplainer, was accepted to NeurIPS'20.
  • 08/2020: Invited to serve as a PC member for AAAI'21.
  • 05/2020:Happy to join NEC lab as a research intern working with Dr. Wei Cheng.
  • 05/2020:One paper, RWM, was accepted to SIGKDD'20 (Research Track).
  • 05/2020:One paper, NDCC, was accepted to TKDE.
  • 04/2020:Invited to serve as a PC member for KDD'20.
  • 10/2019: One paper, DMGC, was accepted to WSDM'20.
  • Publications

    Learning to Drop: Robust Graph Neural Network via Topological Denoising [pdf][code] [slides][video]
    Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
    to appear in Proceedings of 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021

    Parameterized Explainer for Graph Neural Network [pdf][appendix][code&data] [slides][poster][video]
    Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
    to appear in Proceedings of 34th Conference on Neural Information Processing Systems (NeurIPS), 2020

    Local Community Detection in Multiple Networks [pdf] [appendix] [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][slides][poster]
    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
    Topic: NLP

    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.2019 -Feb. 2019), Undergraduate student at Tongji University, now a Master student at Tsinghua University.
    Wenhan Deng (May 2020-Aug 2020), Undergraduate student at University of Michigan, Ann Arbor

    Professional Services

    PC Members:
    KDD'20
    AAAI'21

    Journal Reviewer:
    VLDB Journal
    Data Mining and Knowledge Discovery (DMKD)

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

    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 10/16/2020*