Chen Luo

Ph.D. Student
George R.Brown School of Engineering
Department of Computer Science, Rice University

Email: cl67 (at) rice (dot) edu

3109 Duncal Hall, 6100 Main St., MS 132
Houston TX 77005-1892



Hey, my name is Chen Luo, a Ph.D. student at Rice, working with Anshumali Shrivastava. Before comming to Rice, I was a master student in Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University. I recieved my B.S degree from the Department of Computer Science, Jilin University.


I am mainly working on the intersection of learning and data. My research goal is to design scalable, sustainable, and secure machine learning algorithms for massive data sets.

Publications Google Scholar Citation

* Indicate Equal Contribution
  1. Chen Luo, Anshumali Shrivastava, "Jaccard Affiliation Graph (JAG) Model For Explaining Overlapping Community Behaviors" In: Proc of 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'18), barcelona, Spain, Aug. 2018.

  2. Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye, "TINET: Learning Invariant Networks via Knowledge Transfer" In: Proc. of 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom, Aug. 2018.

  3. Chen Luo, Anshumali Shrivastava, "Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection on the Edge" In: Proc. of 2018 International Conference on World-Wide Web (WWW'18), Lyon, France, April. 2018.

  4. Chen Luo*, J. Jose Gonzalez E.*, Anshumali Shrivastava, Krishna Palem, Yongshik Moon, Soonhyun Noh, Daedong Park, Seongsoo Hong, "Location Detection for Navigation using IMUS With a Map Through Coarse-Grained Machine Learning" In: Proc. 2017 Design, Automation and Testing in Europe (DATE'17), Swisstech, Lausanne, Switzerland, March. 2017.

  5. Chen Luo and Anshumail Shirivastava, "SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series" Proc. of NIPS 2017 Time Series Workshop, Journal of Machine Learning Research V55. (JMLR'17)

  6. Yongshik Moon*, Soonhyun Noh*, Daedong Park*, Chen Luo*, Anshumail Shirivastava, Seongsoo Hong, and Krishna Palem, "CaPSuLe: Camera Based Positioning System Using Learning" In: Proc. of international IEEE System-on-Chip Conference (SoCC'16), Seattle, WA, USA September. 2016.
    Featured on The NY Times, The ACM Technews, The Futurity

  7. Chen Luo, Wei Pang, Zhe Wang, and Chenghua Lin "Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations" In: Proc. 2014 IEEE International Conference on Data Mining (ICDM'14), Shen Zheng, China, December. 2014.

  8. Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, and Zhe Wang "Correlating Events with Time Series for Incident Diagnosis" In: Proc. 2014 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'14), New York, NY, Aug. 2014.

  9. Chen Luo, Renchu Guan, Zhe Wang, and Chenghua Lin " HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks" In: Proc. of the 36th European Conference on Information Retrieval. (ECIR'14), Amsterdam, Metherlands. April, 2014

  10. Chen Luo, Wei Pang, and Zhe Wang, "Semi-supervised clustering on Heterogeneous Information Networks" In: Proc. of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), Tainan, Taiwan, May, 2014


Program Committee: AAAI 2018
Reviewer: ICML 2016, ICML 2017, NIPS 2016, NIPS 2017, CIKM 2017, TKDE 2017

*Last updated on Jan. 2018.