Low, J.M., Tan, Z.J., Tang, T.Y., Salleh, N.M. (2024). Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2023. Lecture Notes in Computer Science, vol 14322. Springer, Singapore. https://doi.org/10.1007/978-981-99-7339-2_4

Tang, T.Y., Hwang, H.J. (2023). Bibliometric Analysis of Robotic Process Automation Domain: Key Topics, Challenges and Solutions. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13956. Springer, Cham. https://doi.org/10.1007/978-3-031-36805-9_32

Chi, W.W., Tang, T.Y., Salleh, N.M., Hwang, H.J. (2023). A Novel Natural Language Processing Strategy to Improve Digital Accounting Classification Approach for Supplier Invoices ERP Transaction Process. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13956. Springer, Cham. https://doi.org/10.1007/978-3-031-36805-9_38

Tiong Yew Tang, Narishah Mohamed Salleh, Mikkay Ei Leen Wong. (2022). Smart Virtual Robot Automation (SVRA) - Improving Supplier Transactional Processes in Enterprise Resource Planning (ERP) System: A Conceptual Framework, 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS ), Scopus Indexed Conference.

Tang, Tiong Yew, Simon Egerton, and János Botzheim. (2017). Spiking Reflective Processing Model for Stress-Inspired Adaptive Robot Partner Applications. International Journal of Artificial Life Research (IJALR) 7.1 : 67-84.

Tew, Yiqi, Tiong Yew Tang, and Yoon Ket Lee. (2017). A study on enhanced educational platform with adaptive sensing devices using IoT features. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017.

Dalai Tang, János Botzheim, Naoyuki Kubota, and Tiong Yew Tang. (2015). Fuzzy spiking neural network for abnormality detection in cognitive robot life supporting system. In IEEE Symposium on Robotic Intelligence in Informationally Structured Space. IEEE, . (Indexed by EI, SCOPUS)

Tiong Yew Tang, Simon Egerton, and Naoyuki Kubota. (2014). Reinforcement learning in non-stationary environments: An intrinsically motivated stress based memory retrieval performance (sbmrp) model. In Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on, pages 1728–1735, July 2014. (CORE Rank A)

Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. (2014). Stress Inspired dynamic optimisation on working memory for cognitive robot social support systems. In MECATRONICS-Tokyo, 10th anniversary of France-Japan and 8th Europe-Asia Congress on Mechatronics. IEEE Computer Society, November Tokyo, Japan, 2014.

Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. (2014). Average edit distance bacterial mutation algorithm for effective optimization. In Proceedings of IEEE Symposium Series on Computational Intelligence, USA,. IEEE Computer Society, . (Indexed by EI, SCOPUS)

Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. (2014). Dynamic programming for guided gene transfer in bacterial memetic algorithm. In Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, and Kaizhu Huang, editors, Neural Information Processing, volume of Lecture Notes in Computer Science, pages 596-603. Springer International Publishing, 2014. (CORE Rank A)