Rong Liu

Associate Professor

School: School of Business

Building: Babbio Center

Room: 619

Phone: (201) 216-5028

Email: rliu20@stevens.edu

Education
  • PhD (2006) Penn State University (Information Systems)
Research

• Blockchain and FinTech
• Deep Learning
• Text Mining
• Business Process Management

Experience

2006 - 2017: Research Staff Member, IBM T.J. Watson Research Center

Professional Service
  • Workshop on Information Systems Technology (WITS) Program Committee
  • IEEE Services Symposium on Future of Financial Services Program Commitee
  • Journal of Database Management Special issue Co-editor
  • The 2019 Pre-ICIS SIGBPS Workshop on Blockchain Technologies and Smart Contracts Program Co-chair
  • Workshop of Information Systems Technologies (WITS) Program Commitee
Appointments

2017 - present: Associate Professor, Stevens Institute of Technology

Professional Societies
  • INFORMS – INFORMS Member
  • AIS Member
  • ACM Member
Patents and Inventions

Hierarchical video concept tagging and indexing system for learning content orchestration, US Patent 10,567,850
Automatic generating analytics from blockchain data, US Patent 10,515,233
Cognitive blockchain automation and management, US Patent 10,452,998
Search for a ticket relevant to a current ticket, US Patent 10,257,055
Predicting anomalies and incidents in a computer application, US Patent 9,582,344
Creating Job Profiles Using a Data Driven Approach, US Patent App. 15/616,868
Cognitive regulatory compliance automation of blockchain transactions, US Patent App. 15/462,875
Recommending personalized jobs from automated review of writing samples and resumes, US Patent App. 15/245,085
Task association analysis in application maintenance service delivery, US Patent 9,575,799
Diagnosing incidents for information technology service management, US Patent 9,317,829
Automatic extraction of user mobility behaviors and interaction preferences using spatio-temporal data, US Patent App. 15/088,227
Retargeting system for decision making units, US Patent App. 14/979,984
Predicting anomalies and incidents in a computer application, US Patent App. 14/745,969
Process management using representation state transfer architecture, US Patent 8,984,046
Monitoring enterprise performance, US Patent 8,949,104
Creation of flexible workflows using artifacts, US Patent 8,661,444
Accelerating collaboration in task assignment by using socially enhanced model, US Patent App. 14/045,411
Continuous improvement of global service delivery augmented with social network analysis, US Patent App. 13/851,514
Accommodating schedule variances in work allocation for shared service delivery, US Patent App. 13/835,404
Automatic generation of executable components from business process models, US Patent 8,340,999
Process management using representation state transfer architecture, US Patent App. 13/425,713
Uniformly Managing Resources and Business Operations, US Patent App. 13/224,079
Deriving entity-centric solution models from industry reference process and data models, US Patent App. 12/834,389


Selected Publications
Book
    Conference Proceeding
    1. Hui, W.; Li , Y.; Ning, Y.; Liu, R.; Wu, Y. (2020). Fairness of Classification Using Users' Social Relationships in Online Peer-To-Peer Lending. (pp. 733-742). Hoboken: Proceeding of WWW conference, 2020.
    2. Wang, H.; Liu, R.; Ning, Y.; Wu, Y. (2020). Fairness of Classification Using Users’ Social Relationships in Online Peer-To-Peer Lending, FATES (Fairness, Accountability, Transparency, Ethics and Society) on the Web, joint with the Web Conference 2020 proceeding, 733-742. FATES (Fairness, Accountability, Transparency, Ethics and Society) on the Web, joint with the Web Conference 2020 proceeding.
    3. Su, Y.; Liu, R.; Zhao, Y.; Sun, W.; Niu, C.; Pei, D. (2019). Robust anomaly detection for multivariate time series through stochastic recurrent neural network. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2828-2837).
    4. Su, Y.; Zhao, Y.; Xia, W.; Liu, R.; Bu, J.; Zhu, J.; Cao, Y.; Li, H.; Niu, C.; Zhang, Y.; Wang, Z.; Pei, D. (2019). CoFlux: Robustly correlating KPIs by fluctuations for service troubleshooting. Proceedings of the International Symposium on Quality of Service, IWQoS 2019.
    5. Zhao, N.; Zhu, J.; Liu, R.; Liu, D.; Zhang, M.; Pei, D. (2019). Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies. Proceedings - IEEE INFOCOM (vol. 2019-April, pp. 1882-1890).
    6. Li, Z.; Zhao, Y.; Liu, R.; Pei, D. (2019). Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection. 2018 IEEE/ACM 26th International Symposium on Quality of Service, IWQoS 2018.
    Journal Article
    1. Subramanian, H.; Liu, R. (2021). Blockchain and Smart Contract - A Review and Preface to the Special Edition. Journal of Database Management (1 ed., vol. 32). Journal of Database Management.
    2. Liu, R.; Mai, F.; Wu, Y. (2020). Predicting Shareholder Litigation on Insider Trading from Financial Text: An Interpretable Deep Learning Approach, 2020, Rong Liu, Feng Mai, Jay Shan, and Ying Wu. Information and Management [ABS-3 Journal, IF: 5.155] (8 ed., vol. 57, pp. 103387).
      https://doi.org/10.1016/j.im.2020.103387.
    3. Kumar, A.; Liu, R. (2020). Business Workflow Optimization through Process Model Redesign. IEEE Transactions on Engineering Management. IEEE Transactions on Engineering Management (17 ed., vol. 1).
    4. Kumar, A.; Liu, R.; Shan, Z. (2019). Is Blockchain a Silver Bullet for Supply Chain Management? Technical Challenges and Research Opportunities. Decision Sciences. Decision Sciences.
    5. Liu, R.; Wu, F. Y.; Kumaran, S. (2010). Transforming Activity-Centric Business Process Models into Information-Centric Models for SOA Solutions. Journal of Database Management. Journal of Database Management (4 ed., vol. 21, pp. 14-34).
    6. Liu, R.; Kumar, A. (2009). Leveraging Information Sharing to Configure Supply Chains. Information Systems Frontier . Information Systems Frontier (pp. 1-13).
    7. Liu, R.; Kumar, A.; van der Aalst, W. (2007). A Formal Modeling Approach for Supply Chain Event Management. Decision Support Systems. Decision Support Systems (vol. 43, pp. 761-778). Decision Support Systems.
    Magazine
    1. Liu, R.; Subramanian, H. (2019). Smart Contracts Based Agile Software Development. IEEE Blockchain Technical Briefs (June 2109 ed.).
      https://blockchain.ieee.org/technicalbriefs/june-2019/smart-contracts-based-agile-software-development.
    Courses

    BIA-660: Web Mining
    BIA-667: Introduction to Deep Learning and Business Applications