Dr Ren Jing

Journal

• Sun, J., Shen, J., Wang, X., Mao, Z., & Ren, J (2023). Bi-Unet: A Dual Stream Lightweight Network for Real-time Highway Surface Segmentation, in IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1549-1563, Feb. 2023. DOI: 10.1109/TIV.2022.3216734. (Impact Factor: 8.2)
• Wang, Y., Ren, J., Lim, C., & Lo, S. W. (2019). A Review of Fast-Growing Blockchain Hubs in Asia, the Journal of the British Blockchain Association (JBBA), 2(2), 1-16, 2019. https://doi.org/10.31585/jbba-2-2-(5)2019
• Kauffman, R. J., Kim, K., Lee, S. Y. T., Hoang, A. P., & Ren, J. (2017). Combining Machine-based and Econometrics Methods for Policy Analytics Insights. Journal of Electronic Commerce Research and Applications (ECRA), 2017(25), 115-140. https://doi.org/10.1016/j.elerap.2017.04.004. (Impact Factor: 6.0)
• Jiang, J., & Ren, J. (2011). Fast Joint MRI Segmentation through an Adaptive Active Contour. Journal of Image and Graphics, China. 16(7):1199-1205.

Working Papers

• The Effects of User- and Marketer-Generated Content on Customer Satisfaction: A Textual Analysis Approach, with Li J., Dong W., under revision for Journal of ECRA.
• Application of Text Mining Analysis in Understanding GameFi Adoption, with Zhang Y., Liu W. Ding D. (under review).
• StreamTrack: Real-time Meta-Detector for High Speed Streaming Perception. With Shen J. (under review).

Book Chapters

• Ren, J. (2021). Big Data and Data Science, in David Kuo Chuen Lee, Joseph Lim, Kok Fai Phoon & Yu Wang (Eds.) Fintech for Finance Professionals, Global Fintech Institute – World Scientific Series on Fintech. Vol. 3, World Scientific, December 2021
• Ren, J., & Xu, K. (2021). Artificial Intelligence and Machine Learning, in David Kuo Chuen Lee, Joseph Lim, Kok Fai Phoon & Yu Wang (Eds.) Fintech for Finance Professionals, Global Fintech Institute - World Scientific Series on Fintech. Vol. 3, World Scientific, December 2021

Invited Talks and Presentations

• Ren, J., Cheng, Y., & Hung, Y. (2023). Replacement or Collaboration? Transformation of the Service Labor Market under the Development of Generative AI. In CCIS-CE Symposium 2023. November, Perth, Australia.
• Ren, J., & Liu, W., (2023). Unleashing the Future: Blockchain and AI in Entertainment. In the SkillsFuture X SUSS 2023 @IHL, on 3 August 2023.
• Hung, Y.C., Ren, J., Liu, W., & Ding, D., (2023). Unravelling Donor Engagement from a Content Analysis Perspective, at WWF Singapore, on 26 July 2023.
• Ren, J., Zhang, Y., Liu, W., & Lo, S. W. (2022). A Novel Recommendation System for Music NFT Marketplace. In the 22nd International Conference on Electronic Business, October 2022.
• Ren, J., & Zhang, Y. (2020). Smart Contracts-based Customized Music Recommendation for Long-Tail Artists. In 2020 The 8th Intl Conf. on Information Technology: IoT and Smart City (ICIT) (Best Presentation)
• Ren, J. (2020). Keynote talk “AI Technologies and Applications”, 3M Singapore Seminar (Feb. 21, 2020)

Referred Conference Papers

• Wang, W., Wu, C., Hung, Y., Liu, W., Ren, J., & Horng, J. (2023).Mixed Attitude towards ChatGPT on Social Media: Digital Emotion Contagion or Knowledge Sharing. In ACIS 2023 Proceedings, 142, Wellington, New Zealand, December. https://aisel.aisnet.org/acis2023/142
• Tseng, Y., Chen, P., Ren J., Hung, Y., Liu, W., & Horng, J. (2023). Unraveling Consumer Engagement in Influencer Marketing: An Exploratory UGC Analysis. In the 23rd ICEB Proceedings, Chiayi, Taiwan, October 2023, 686-693 (Corresponding author). https://iceb.johogo.com/proceedings/2023/ICEB2023_paper_90.pdf
• Hsu, T., Tsai, Y, Hung, Y., Liu, W., Ren, J., Ding, D., & Horng, J. (2023). Semantics as Persuasive Cues in Donation-Based Crowdfunding Campaigns: The Moderating Role of Donation Category. In the 23rd ICEB Proceedings, Chiayi, Taiwan, October 2023, 553-560. https://iceb.johogo.com/proceedings/2023/ICEB2023_paper_93.pdf
• Cheng, Y., Gan, E., Ren, J., Hung, Y. (2023). IP Power in the Global Economy: Transformation and Sustainable Development - Decoding the AI Workforce. In the Global Forum on International Intellectual Property, Qingdao, China, August 19-20, 2023.
• Zhang, Y., Ren, J., Li, J., Shen, J. (2023). Free-to-Play or Play-to-Earn? Understanding the Mass Adoption of GameFi. In the 29th Recent Advances in Retailing and Consumer Sciences Conference, Lyon, France, July 24-27, 2023. (Corresponding author).
• Ho, Y., Ren, J. (2023). Empowering Student via Academic Coaching. In the IEEE 6th Eurasian Conference on Educational Innovation (ECEI), Singapore, February 3-5, 2023.
• Ren, J., & Zhang, Y. (2021, August). Is All-Win Possible? A Novel Smart Contracts-based Music Recommendation System. In 2021 The 11th International Conference on Information Communication and Management (pp. 18-23) (Best Oral) https://dl.acm.org/doi/abs/10.1145/3484399.3484402
• Ren, J., Kauffman, R. J., & King, D. (2019, January). Two-Sided Value-Based Music Artist Recommendation in Streaming Music Services. In Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS). http://hdl.handle.net/10125/59705
• Ren, J., & Kauffman, R. J. (2018). Understanding Streaming Music Diffusion in a Semi-Closed Social Environment. In The 22nd Pacific Asia Conference on Information Systems (PACIS), 206-219. https://aisel.aisnet.org/pacis2018/58/
• Ren, J., & Kauffman, R. J. (2017). Understanding Music Track Popularity in a Social Network. In The 25th European Conference on Information Systems (ECIS), 374-388.https://ink.library.smu.edu.sg/sis_research/3960/
• Ren, J.(2017). Music Popularity, Diffusion, and Recommendation in Social Networks: A Fusion Analytics Approach. ECIS Doctoral Consortium.
• Ren, J., Shen, J., & Kauffman, R. J. (2016). What Makes a Music Track Popular in Online Social Networks? In The 25th Intl World Wide Web Conference (WWW) 95-96.https://dl.acm.org/doi/abs/10.1145/2872518.2889402
• Ren, J., Cheng, Z., Shen, J., & Zhu, F. (2014). Influences of Influential Users: An Empirical Study of Music Social Network. In The ACM Intl Conf. on Internet Multimedia Computing and Service (ICIMCS): 411. https://ink.library.smu.edu.sg/sis_research/3207/
• Cheng, Z., Ren, J., Shen, J., & Miao, H. (2013). Building a Large Scale Test Collection for Effective Benchmarking of Mobile Landmark Search. In The 19th Anniversary Intl Conf. on MultiMedia Modeling (MMM): 36-46. https://link.springer.com/chapter/10.1007/978-3-642-35728-2_4
• Cheng, Z., Ren, J., Shen, J., & Miao, H. (2011). Effects of Heterogeneous Information Combination on Large Scale Social Image Search. In The ACM Intl Conf. on Internet Multimedia Computing and Service (ICIMCS): 39-42. https://dl.acm.org/doi/10.1145/2043674.2043686