Rong Liu

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

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

2017 - present: Associate Professor, Stevens Institute of Technology

1. Recommending personalized jobs from automated review of writing samples and resumes, US 11,164,136, granted on November 2, 2021.

2. Hierarchical video concept tagging and indexing system for learning content orchestration, US 11,095,953, granted on August 17, 2021.

3. Cognitive blockchain automation and management, US 10,997,142, granted on May 4, 2021.

4. Cognitive regulatory compliance automation of blockchain transactions, US 10,984,483, granted on April 20, 2021.

5. Automatic extraction of user mobility behaviors and interaction preferences using spatio-temporal data, US 10,831,827, granted on November 10, 2020.

6. Hierarchical video concept tagging and indexing system for learning content orchestration, US 10,567,850, granted on February 18, 2020.

7. Automatic generating analytics from blockchain data, US 10,515,233, granted on December 24, 2019.

8. Cognitive blockchain automation and management, US 10,452,998, granted on October 22, 2019.

9. Search for a ticket relevant to a current ticket, US 10,257,055, granted on April 9, 2019.

10. Process management using representation state transfer architecture, US 10,235,330, granted on March 19, 2019.

11. Predicting anomalies and incidents in a computer application, US 9,921,943, granted on March 20, 2018.

12. Predicting anomalies and incidents in a computer application, US 9,582,344, granted on February 28, 2017.

13. Task association analysis in application maintenance service delivery, US 9,575,799, granted on February 21, 2017.

14. Diagnosing incidents for information technology service management, US 9,317,829, granted on April 19, 2016.

15. Process management using representation state transfer architecture, US 8,984,046, granted on March 17, 2015.

16. Monitoring enterprise performance, US 8,949,104, granted on February 3, 2015.

17. Building, reusing and managing authored content for incident management, US 8,892,539, granted on November 18, 2014.

18. Creation of flexible workflows using artifacts, US 8,661,444, granted on February 25, 2014.

19. Automatic generation of executable components from business process models, US 8,340,999, granted on December 25, 2012.

Journal Publications

[1] Rong Liu, Jingjing Li, Marko Zivkovic, Ahmed Abbasi. (2025) Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning, MIS Quarterly (FT-50), forthcoming.

[2] Lun Li, Theodoros Lappas, Rong Liu. (2024) Measuring Employer Attractiveness in Diverse Talent Markets, Decision Support Systems (ABS-3), 17.

[3] Rong Liu, Ming Li, Sherry Sin, Michael Tan. (2023) Ethical Requirements in Job Advertisements: A Deep Learning Approach, European Management Review (ABS-3), 1–16.

[4] Rong Liu, Jujun Huang, Zhongjun Zhang. (2023) Tracking Disclosure Change Trajectories for Financial Fraud Detection, Production and Operations Management (FT-50). 32(2), pp 584-602.

[5] Rong Liu, Akhil Kumar, Juhnyoung Lee. (2022) Multi-level Team Assignment in Social Business Processes: An Algorithm and Simulation Study. Information Systems Frontiers (ABS-3), 24, pp 1949–1969.

[6] Hemang Subramanian, Rong Liu. (2021) Blockchain and Smart Contract - A Review, Journal of Database Management (ABS-1), 32(1), pp. vii-xxvi.

[7] Rong Liu, Feng Mai, Zhe Shan, Ying Wu. (2020) Predicting Shareholder Litigation on Insider Trading from Financial Text: An Interpretable Deep Learning Approach, Information & Management (ABS-3), 57(8) 103387. Bright Idea Award of Publications of New Jersey’s Business Faculty.

[8] Akhil Kumar, Rong Liu. (2020) Business Workflow Optimization Through Process Model Redesign, IEEE Transactions on Engineering Management (ABS-3, JIF: 5.8), 69(6), pp.3068-3084.

[9] Akhil Kumar, Rong Liu, Zhe Shan. (2020) Is Blockchain a Silver Bullet for Supply Chain Management? Technical Challenges and Research Opportunities, Decision Sciences (ABS-3, 51(1), pp.8-37. The 3rd Most Cited Paper for 2020-2021 for DSJ.

[10] Rong Liu, Shivali Agarwal, Renuka R. Sindhgatta, Juhnyoung Lee. (2015) Service Delivery Resource Management Using a Socially Enhanced Resource Model. In Y. Diao, & D. Rosu (Eds.) Maximizing Management Performance and Quality with Service Analytics, pp. 148-177, 2015.

[11] Rong Liu, Frederick Y. Wu, Santhosh Kumaran. (2010) Transforming Activity-Centric Business Process Models into Information-Centric Models for SOA Solutions, Journal of Database Management (ABS-1), 21(4): 14-34. [PM]

[12] Rong Liu and Akhil Kumar. (2009) Leveraging Information Sharing to Configure Supply Chains, Information Systems Frontier (ABS-3), 1-13.

[13] Rong Liu, Akhil Kumar, Wil van der Aalst. (2007) A Formal Modeling Approach for Supply Chain Event Management, Decision Support Systems (ABS-3), 43:761–778.

Refereed Conference Proceedings
[1] Yichen Wang, Kangping Zeng, Wendy Duan, Rong Liu, Marko Zivkovic (2025) LLM-augmented Shortage Radar: Early Social platform Signals for Drug Shortage, The 15th Annual Conference on Health IT and Analytics (CHITA 2025), forthcoming.

[2] Kangping Zeng, Rong Liu, Sayeed Salam, Marko Zivkovic, Zarmina Khankhel, and Lynn Okamoto. (2025) An Open-Source LLM Framework for Transparent Data Extraction from Research Papers, The International Society for Pharmacoeconomics and Outcomes Research (ISPOR 2025), forthcoming.

[3] Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W Suchow, Khaldoun Khashanah. (2024) FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design, accepted by AAAI 2024 Spring Symposium on Human-Like Learning.

[4] Zihan Chen, Jingyi Sun, Feng Mai, Rong Liu. (2023) Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks, International Conference on Information Systems (ICIS 2023).

[5] Lun Li, Jingyi Sun, Rong Liu. (2023) What’s Next? Deciphering Occupational Mobility via a Theory-Driven Deep Learning Approach, Informs Workshop on Data Science (WDS 2023). Best Student Paper Award.

[6] Lun Li, Jingyi Sun, Rong Liu, Theodoros Lappas. (2023) Predicting Employee Occupation Mobility: A Theory-Driven Deep Learning Approach, Americas Conference on Information Systems (AMCIS 2023), selected as a top 25% paper.

[7] Ziyi Xiong, Rong Liu, Yan Chen, Chihoon Lee. (2023) Overcoming the Novelty Discount: The Roles of Open-source Development in the Initial Coin Offerings (ICOs). Academy of Management Proceedings.

[8] Lun Li, Theodoro Lappas, Rong Liu. (2022) A Graph-based Method for Job Title Clustering, INFORMS Workshop on Data Science 2022.

[9] Jujun Huang, Rong Liu, Ying Wu. (2022) More than Words: Quantifying Colloquial Skepticism toward Firm's Fundamentals. Financial Management Association (FMA) Annual Meeting 2022.

[10] Jujun Huang, Rong Liu. (2021) Leverage Disclosure Change Trajectories to Detect Financial Frauds, Workshop on Information Technologies and Systems (WITS 2021), Best Student Paper Award.

[11] Rong Liu, Feng Mai, Zhe Shan, Ying Wu. (2020) Predicting Shareholder Litigation on Insider Trading from Financial Text: An Interpretable Deep Learning Approach, Financial Management Association (FMA) Annual Meeting 2020, nominated for the Best Paper Award.

[12] Yanying Li, Yue Ning, Rong Liu, Ying Wu, Wendy Hui Wang. (2020) Fairness of Classification Using Users' Social Relationships: A Case Study of Loan Application Process in Peer-To-Peer Lending, 2nd Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES 2020), pp. 733–742.

[13] Nengwen Zhao, Panshi Jin, Lixin Wang, Xiaoqin Yang, Rong Liu, Wenchi Zhang, Kaixin Sui, Dan Pei. (2020) Automatically and Adaptively Identifying Severe Alerts for Online Service Systems. IEEE Conference on Computer Communications (INFOCOM 2020), pp. 2420-2429.

[14] Rong Liu, Siwei Wang, Hong Yu, Cheng Liao, Marko Zivkovic, Colin Navickas. (2019) Few-shot Learning for Systematic Medical Literature Review, Workshop on Information Technologies and Systems (WITS 2019).

[15] Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei. (2019) Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network. 25th ACM SIGKDD international conference on knowledge discovery & data mining (KDD 2019), pp. 2828-2837. Cited by 1448.

[16] Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, Dan Pei. (2019) Label-less: A Semi-automatic Labelling Tool for KPI Anomalies. IEEE Conference on Computer Communications (INFOCOM 2019), pp. 1882-1890.

[17] Ya Su, Youjian Zhao, Wentao Xia, Rong Liu, Jiahao Bu, Jing Zhu, Yuanpu Cao, Haibin Li, Chenhao Niu, Yiyin Zhang, Zhaogang Wang, Dan Pei. (2019) CoFlux: Robustly Correlating KPIs by Fluctuations for Service Troubleshooting. IEEE/ACM 27th International Symposium on Quality of Service (IWQoS 2019), pp. 1-10.

[18] Zhihan Li, Youjian Zhao, Rong Liu, Dan Pei. (2018) Robust and Rapid Clustering of KPIs for Large-scale Anomaly Detection. IEEE/ACM 26th International Symposium on Quality of Service (IWQoS 2018), pp. 1-10.

[19] Rong Liu, Bhavna Agrawal, Aditya Vempaty, Wanita Sherchan, Sherry Sin, Michael Tan. (2018) Data-Driven Job Capability Profiling. International Conference on Artificial Intelligence in Education (AIED 2018), pp. 187-192.

[20] Bhavna Agrawal, Rong Liu, Ravi Kokku, Yi-Min Chee, Ashish Jagmohan, Satya Nitta, Michael Tan, Sherry Sin. (2017) 4C: Continuous Cognitive Career Companions, International Conference on Artificial Intelligence in Education (AIED 2017), pp. 623-629.

[21] Rong Liu, Swapna Buccapatnam, Wesley M Gifford, Anshul Sheopuri. (2016) An Unsupervised Collaborative Approach to Identifying Home and Work Locations, 17th IEEE International Conference on Mobile Data Management (MDM 2016), Vol. 1, pp. 310-317.

[22] Feng Li, Qicheng Li, Lijun Mei, ShaoChun Li, Rong, Liu, Weiye Chen, Fen Fei Wang. (2015) Second Order-Based Real-Time Anomaly Detection for Application Maintenance Services. International Conference on Service Science (ICSS 2015), pp. 37-44. Best Paper Award.

[23] Ta Hsin Li, Rong Liu, Noi Sukaviriya, Ying Li, Jeaha Yang, Michael Sandin, Juhnyoung Lee. (2014) Incident Ticket Analytics for IT Application Management Services, IEEE International Conference on Services Computing (SCC 2014), pp. 568-574.

[24] Rong Liu, Qicheng Li, Feng Li, Lijun Mei, Juhnyoung Lee. (2014) Big Data Architecture for IT Incident Management, IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI 2014), pp. 424-429.

[25] Rong Liu, Akhil Kumar. (2014) Impact of Socio-technical Network on Process Performance. In International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), pp. 243-252.

[26] Rong Liu, Shivali Agarwal, Renuka R Sindhgatta, Juhnyoung Lee. (2013) Accelerating Collaboration in Task Assignment Using a Socially Enhanced Resource Model, International Conference on Business Process Management (BPM 2013, CORE A), pp. 251-258.

[27] Ying Li, Ta-Hsin Li, Rong Liu, Jeaha Yang, Juhnyoung Lee. (2013) Application Management Services Analytics, IEEE Service Operations and Logistics, and Informatics conference (SOLI 2013), pp. 366-371.

[28] Rong Liu, Juhnyoung Lee. (2012) IT Incident Management by Analyzing Incident Relations, International Conference on Service Oriented Computing (ICSOC 2012, CORE A), pp. 631-638.

[29] Rong Liu, Frederick Wu, Florian Pinel, Zhe Shan. (2012) A Two-tier Data-centric Framework for Flexible Business Process Management, 18th Americas Conference of Information Systems (AMCIS 2012), Best Paper Runner-up Award.

[30] Susanne Glissmann, Jorge Sanz, Rong Liu, Valeria Becker. (2012) Disentangling the Value of Information and Analytics Through Componentized Business Architecture, Hawaii International Conference on System Sciences (HICCS 2012), pp. 4250-4259.

[31] Rong Liu, Roman Vaculín, Zhe Shan, Anil Nigam, Frederick Wu. (2011) Business Entity-Centric Modeling for Real-Time Performance Monitoring, International Conference on Business Process Management (BPM 2011, CORE A), pp 265–280.

[32] Rong Liu, Anil Nigam, Zhe Shan, Frederick Wu. (2011) Uniform Modeling of Resources and Business Processes Using Business Entities, IEEE International Conference on Services Computing (SCC 2011), pp. 693-700.

[33] Matteo Della Bordella, Rong Liu, Aurelio Ravarini, Frederick Y Wu, Anil Nigam. (2011) Towards a Method for Realizing Sustained Competitive Advantage through Business Entity Analysis, International Conference on Business Process Modeling, Development and Support (BPMDS 2011), pp. 216-230.

[34] Rong Liu, Anil Nigam, Jun-Jang Jeng, Chian-Rou Shieh, Frederick Y. Wu. (2010) Integrated Modeling of Performance Monitoring with Business Artifacts, IEEE International Conference on e-Business Engineering (ICEBE 2010), pp. 64-71.

[35] Pietro Mazzoleni, Aubrey Rembert, Rama Akkiraju, Rong Liu. (2010) On Predicting Impacts of Customizations to Standard Business Processes, 8th International Conference on Service Oriented Computing (ICSOC 2010), pp. 557-562.

[36] Zhe Shan, Akhil Kumar, Rong Liu. (2010) Creating a Minimal Adapter for Multiple Business Process Composition, Proceedings of the Workshop on Information Technologies and Systems (WITS 2010).

[37] Matteo Della Bordella, Aurelio Ravarini, Frederick Y Wu, Rong Liu. (2010) Key Business Artifacts: A Methodology for the Strategic Model within MDBT (Model Driven Business Transformation) Framework, The 5th Mediterranean Conference on Information Systems (MCIS 2010).

[38] Matteo Della Bordella, Aurelio Ravarini, Frederick Y Wu, Rong Liu. (2010) Operational Innovation: from Principles to Methodology, Information Technology and Innovation Trends in Organizations, pp. 29-36.

[39] Rong Liu, Frederick Wu, Yasodhar Patnaik, Santhosh Kumaran. (2009) Business Entities: An SOA Approach to Progressive Core Banking Renovation, Proceedings of the International Conference on Services Computing (SCC 2009), pp. 466-473.

[40] Matteo Della Bordella, Aurelio Ravarini, Rong Liu. (2009) Performance Measurement and Strategic Analysis for MDBT, Proceedings of the 8th Workshop on eBusiness (WeB 2009).

[41] Akhil Kumar, Rong Liu. (2008) Rule-Based Framework to Design Compliant Business Processes Using Role Patterns, The International RuleML Symposium on Rule Interchange and Applications (RuleML-2008), pp. 58-72.

[42] Santhosh Kumaran, Rong Liu, Pankaj Dhoolia, Terry Heath, Prabir Nandi, Florian Pinel. (2008) A RESTful Architecture for Service-Oriented Business Process Execution, IEEE International Conference on e-Business Engineering (ICEBE 2008), pp. 197-204.

[43] Santhosh Kumaran, Rong Liu, Frederick Y Wu. (2008) On the Duality of Information-Centric and Activity-Centric Models of Business Processes, 20th International Conference on Advanced Information Systems Engineering (CAiSE 2008, CORE A), pp. 32-47. Cited by 211.

[44] Kamal Bhattacharya, Cagdas Gerede, Richard Hull, Rong Liu, Jianwen Su. (2007) Towards Formal Analysis of Artifact-Centric Business Process Models, The 4th International Conference on Business Process Management (BPM 2007) pp. 288-304, Best Paper Award. Cited by 426.

[45] Rong Liu, Kamal Bhattacharya, Frederick Y. Wu. (2007) Modeling Business Contexture and Behavior Using Business Artifacts, The 19th International Conference on Advanced Information Systems Engineering (CAiSE 2007, CORE A), pp. 324-339. Cited by 199.

[46] Rong Liu, Akhil Kumar, Alan J Stenger. (2006) Simulation Results for Supply Chain Configurations Based on Information Sharing, Proceedings of the 38th Conference on Winter Simulation (WSC 2006), pp. 627-635.

[47] Rong Liu, Akhil Kumar, WMP van der Aalst. (2006) Managing Supply Chain Events to Build Sense-and-Respond Capability, Proceedings of International Conference on Information Systems (ICIS 2006).

[48] Rong Liu, Akhil Kumar. (2005) An Analysis and Taxonomy of Unstructured Workflows, Proceedings of the 2nd International Conference on Business Process Management (BPM 2005, CORE A), pp. 268-284. Cited by 201.

[49] Rong Liu, Akhil Kumar, WMP van der Aalst. (2004) A Formal Modeling Approach for Supply Chain Event Management, Proceedings of the 14th Workshop on Information Technologies and Systems (WITS 2004).

[50] Rong Liu, Akhil Kumar. (2003) Leveraging Information Sharing to Increase Supply Chain Configurability, Proceedings of International Conference on Information Systems (ICIS 2003).

BIA-660: Web Mining
BIA-667: Introduction to Deep Learning and Business Applications
MIS-401: Deep Learning and Large Language Models for Business Analytics