CST students actively showcase their research through scientific publication and participation in conferences.
Yu, Yue & Wu, Mutong & Su, Weifeng & Cheung, Yiu-ming. (2021).
A Scoring Model Assisted by Frequency for Multi-Document Summarization.
10.1007/978-3-030-86383-8_25.
Qiu, Y., Liu, R., & Lee, R.S. (2021).
The Design and Implementation of Quantum Finance-based Hybrid Deep Reinforcement Learning Portfolio Investment System.
Journal of Physics: Conference Series. IOP Publishing, 1828(1): 012011.
Wu, Zhenghao & Zheng, Hao & Wang, Jianming & Su, Weifeng & Fong, Jefferson. (2019).
BNU-HKBU UIC NLP Team 2 at SemEval-2019 Task 6: Detecting Offensive Language Using BERT model.
10.18653/v1/S19-2099.
Yifu, Qiu & Yuan, Alex & Chen, Peter & Lee, Raymond. (2019)
Hybrid Chaotic Radial Basis Function Neural Oscillatory Network (HCRBFNON) for Financial Forecast and Trading System.
10.1109/SSCI44817.2019.9002781.
Ning Z & Lin Y & Zhong R.(2019).
Team peter-parker at semeval-2019 task 4: Bert-based method in hyperpartisan news detection.
10.18653/v1/S19-2181.
Yifu, Qiu & Lee, Raymond. (2019).
A Hybrid Chaotic Oscillatory Neural Network (HCONN) Based Financial Time Series Prediction System.
10.1088/1757-899X/646/1/012024.
Z, XuanYuan & B, Li & X, Zhang & L, Chen & K, Huang (2018)
Online Cooperative 3D Mapping for Autonomous Driving.
2018 IEEE Intelligent Vehicles Symposium (IV), pp. 256-261, DOI: 10.1109/IVS.2018.8500615.
