Discovering Context-Sensitive Impact and Influence in Complex Systems

1. Project introduction

Successfully tackling many urgent challenges in socio-economically critical domains (such as sustainability, public health, and biology) requires obtaining a deeper understanding of complex relationships and interactions among a diverse spectrum of entities and agents in different contexts.
While some of the relationships (e.g., co-location of energy production facilities and water delivery networks in the energy domain and scheduled flights between two cities in the study of epidemics) in these domains are explicitly known, the knowledge of these explicit relationships is often far from sufficient to enable decision making. What is required instead is an understanding of whether and (if so) in what contexts these entities impact each other.
The goal of this project is to establish the theoretical, algorithmic, and computational foundations of big data-driven Context-Sensitive Impact Discovery (CSID) in complex systems.

2. Publications in CS venues (peer reviewed and archived)

  1. Yifan Hao, Huiping Cao, and Erick Draayer: CNN Approaches to Classify Multivariate Time Series Using Class-specific Features. In Proc. of 2020 IEEE International Conference on Smart Data Services (SMDS), pages 1-8.
    The source code for this paper will be published soon.
  2. Yifan Hao and Huiping Cao: A New Attention Mechanism to Classify Multivariate Time Series. In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) Main track. 2020: Pages 1999-2005. (Acceptance rate: 12.6%).
    https://doi.org/10.24963/ijcai.2020/277.
    The source code for this paper can be downloaded from this github repository.
  3. Qixu Gong, Jiefei Liu and Huiping Cao: CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks (Demo paper). CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks (Demo paper).
    In Proc. of IEEE Intl. Conf. on Data Engineering (ICDE), 2020: 1746-1749.
    [https://doi.org/10.1109/ICDE48307.2020.00160][Presentation slide] [Presentation video][Demo video]
    The source code for this paper can be downloaded from this github repository.
  4. Yifan Hao, Huiping Cao, Abdullah Mueen, and Sukumar Brahma: Identify Significant Phenomenon-specific Variables for Multivariate Time Series. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 2019. [https://ieeexplore.ieee.org/document/8798763]
    The source code for this paper can be downloaded from this github repository.
  5. Edgar Ceh-Varela and Huiping Cao: Recommending Packages of Multi-criteria Items to Groups. In Proc. of IEEE Intl. Conf. on Web Services (ICWS) 2019: 273-282. (Acceptance rate: 18%) [https://doi.org/10.1109/ICWS.2019.00054]
    The source code for this paper can be downloaded from this github repository.
  6. Qixu Gong, Huiping Cao, Parth Nagarkar: Skyline Queries Constrained by Multi-Cost Transportation Networks. In Proc. of IEEE Intl. Conf. on Data Engineering (ICDE), 2019: 926-937.
    [https://doi.org/10.1109/ICDE.2019.00087]
    The source code for this paper can be downloaded from this github repository.
  7. Ian Goetting, Elisabeth Baseman, Huiping Cao: Causal Relationships amongst Sensors in the Trinity Supercomputer: work in progress. In Proceedings of the First Workshop on Machine Learning for Computing Systems. Co-located with The 27th International Symposium on High-Performance Parallel and Distributed Computing (HPDC’18).
    [PDF] [PDF file in ACM library]
    The github repository code will not be published due to constraints at LANL.
  8. Chuan Hu, Huiping Cao, Qixu Gong: Sub-Gibbs Sampling: a New Strategy for Inferring LDA.
    In Proc. of Intl. Conf. on Data Mining (ICDM 2017), 907-912. (Overall acceptance rate: 19.9%).
    [PDF] [http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.113. ]
    The source code for this paper can be downloaded from this github repository.
  9. Chuan Hu, Huiping Cao: Aspect-Level Influence Discovery from Graphs.
    IEEE Trans. Knowl. Data Eng. 28(7): 1635-1649 (2016).
    [PDF] [http://dx.doi.org/10.1109/TKDE.2016.2538223]
    The source code for this paper can be downloaded from this github repository.
  10. [before the project officially starts] Chuan Hu and Huiping Cao: Discovering Time-evolving Influence from Dynamic Heterogeneous Graphs.
    In Proc. of IEEE International Conference on Big Data 2015, 2253-2262.
    [PDF]Β [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7364014].
    The source code for this paper can be downloaded from this github repository.
  11. [before the project officially starts] Chuan Hu, Huiping Cao, Chaomin Ke: Detecting Influence Relationships from Graphs.
    In Proc. of SIAM Data Mining, SDM 2014:821-829.
    This Link has the paper, source code, data sets, and technical report.
    The source code for this paper can also be downloaded from this github repository.
  12. [before the project officially starts] Yangpai Liu, Huiping Cao, Yifan Hao, Peng Han, Xinda Zeng: Discovering Context-aware Influential Objects.
    In Proc. of SIAM Data Mining, SDM 2012:780-791. (Acceptance rate: 27%)
    [http://siam.omnibooksonline.com/2012datamining/data/papers/237.pdf]

3. Publications in non-CS venues (peer reviewed and archived)

  1. Jiannong Xu, Dong Pei, Ainsley Nicholson, Yuhao Lan, Qing Xia: In Silico Identification of Three Types of Integrative and Conjugative Elements (ICEs) in Elizabethkingia anophelis Strains Isolated from Around the World. DOI: 10.1128/mSphere.00040-19

4. Non-archived conference & poster presentations

  1. Panika Valecha, Huiping Cao, Qixu Gong, Mai Zheng, Feng Yan, Xing Lin, Art Harkin. Analysis and Prediction of Storage Error Events for High Performance Computing Systems. iN Conference on Data Analysis (CODA). Santa Fe, NM. 2018.
  2. XU, D. Pei, A. Kulkarni, Y. Ma, R. Xue (2017). Characterization of microbiome in vector mosquitoes. The 3rd international conference of insect genomics & 6th International symposium on insect physiology, biochemistry and molecular biology. Hangzhou, China.
  3. J. Xu, D. Pei, Y. Ma, R. Xue (2017). Metagenomic landscape of wild populations of Aedes albopictus in Florida, US and Hainan Island, China. The 14th Arbovirus Surveillance and Mosquito Control Workshop in conjunction with the ne1443 regional project 3RD annual meeting. St. Augustine, FL.
  4. Moon A, Xu J. (2019). GAPDH response to pathogen challenge in mosquitoes. The 2019 ASM Rio Grande branch meeting. Socorro, NM.
  5. Kulkarni A, Xu J. (2018). Immunomodulatory role of aryl hydrocarbon receptor in insects. The 67th ASTMH annual meeting. New Orleans, LA.
  6. Xu J, Champion C. (2018). NADPH is critically needed for fecundity and insecticide detoxification in Anopheles gambiae. The 67th ASTMH annual meeting. New Orleans, LA.
  7. Kulkarni A, Xu J. (2019). Prevalence of Wolbachia pipientis in Aedes aegypti populations in New Mexico. The 2019 ASM Rio Grande branch meeting. Socorro, NM.
  8. Josue Gutierrez, Sean Flaherty, Colby Brungard, Huiping Cao, David Dubois, Merrill Bean, Max Bleiweiss (2017). Early Warning Dust Forecasting. The 29th Hispanic Engineering National Achievement Awards Conference (HENAAC). Pasadena, CA.
  9. Josue Gutierrez, Colby Brungard, David Dubois, Huiping Cao, β€œDust Storm Classification From Video Footage ”. CASCADE Workshop/Retreat on Big Data Challenges, Techniques, and Applications, April 26, 2019, Tempe, AZ.

5. People involved in this project

  • 5.1 Faculty/researchers
    • Dr. Jiannong Xu, Biology, faculty collaborator
    • Dr. David Dubois, Plant and Environmental Sciences, faculty collaborator
    • Dr. Colby Brungard, Plant and Environmental Sciences, faculty collaborator
  • 5.2 PhD students
    • Dr. Chuan Hu, Computer Science, PhD (graduated in May 2017)
    • Dr. Yifan Hao, Computer Science, PhD (graduated in Nov. 2020)
    • Mr. Edgar Ceh-Varela, Computer Science, PhD student
    • Mr. Qixu Gong, Computer Science, PhD student
    • Mr. Erick Drraayer, Computer Science, PhD student
    • Dr. Dong Pei, Biolgoy, PhD (graduated in May 2017)
    • Dr. Jinjin Jiang, Biology, PhD (graduated in May 2017)
  • 5.3 Master’s students
    • Mr. Yuhao Lan, Biology & Computer Science, Master’s student (graduated in June 2018)
    • Mr. Nathan Lopez-Brody, Plant and Environmental Sciences, Master’s student (graduated in May 2017)
    • Mr. Josue Gutierrez, Plant and Environmental Sciences, Master’s student (graduated in Fall 2019)
  • 5.4 Undergraduate students
    • Mr. Brett Pelkey, Computer Science, undergraduate student (graduated in May 2017)
    • Mr. Josue Gutierrez, Mechanical Engineering, undergraduate student (graduated in May 2018)
    • Mr. Ian Goetting, Computer Science, undergraduate student (graduated in May 2018)
    • Ms. Caitlin Ard, Computer Science, Fall 2018 (graduated in Dec 2018)
    • Mr. Jiefei Liu, Computer Science, undergraduate student (graduated in May 2020)
    • Mr. Omar Navarro, Computer Science, Fall 2018 (graduated in Fall 2020)
    • Ms. Kami Otero De Owens, Computer Science, Summer 2020
    • Mr. Benjamin Peaslee, Computer Science, Summer 2020

6. Workshops & related projects

Thanks

This work has been supported by NSF# 1633330. nfs-logo