Biography
Hey, my name is Chen Luo, a Applied Scientist at Amazon Search (previously known as A9). I obtained my Ph.D. from Rice, working with Anshumali Shrivastava. Before 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 love traveling, adventuring, having fun. I love music, love saying 'Yes!'. Above all things, I love being kind. I enjoy coding as well as reading research papers. Even though graduated from school, I still wonder if I am a scientist, an engineer or just a student. :-)
Research
I do research for fun and my interests change more frequently than Houston weather. In short, I'm mainly focuses on solving well-known problems with new algorithms that are suitable for use on large amounts of data.
* Indicate Equal Contribution
- Chen Luo, Anshumali Shrivastava,
"Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS)" In: Proc of AAAI Conference on Artificial Intelligence 2019. (AAAI'19), Hawaii, USA, Jan. 2019.
- Cheng Cao, Zhengzhang Chen, Lu-An Tang, James Caverlee, Chen Luo, and Zhichun Li,
"Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks" In: Proc of 2018 ACM International Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018.
- 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.
- 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.
- 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.
- 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.
- 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)
- 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
- 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.
- 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.
- 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
- 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
Service
Program Committee: AAAI, UAI
Reviewer: ICML, NeurIPS, KDD, CIKM, AAAI, UAI
*Last updated on Aug. 2018.