李树德 - 北京师范大学-香港浸会大学

个人简介

李树德博士是量子金融预测系统的创始人，具备超过23年的IT咨询经验，在人工智能、混沌神经网络、智能金融系统、量子金融以及智能电子商务系统等领域具有丰富的研发经验，并成功将其在人工智能金融技术领域的研发成果在中国大陆和香港实现了商业化。李树德博士于1989年在香港大学取得理学士学位(物理学)，后续分别于1997年及2000年在香港理工大学获得理学硕士学位(信息科技)及博士学位(计算机科学)。从香港大学毕业后，李树德博士于1989年至1993年加入香港天文台，担任气象科学家，研究天气预测并研发气象电讯信息系统。在学术上，李树德博士于2018年在联合国际学院(UIC)担任副教授之前，曾于香港理工大学计算机系担任讲师，2000年晋升为助理教授，2005年晋升为副教授。在此期间，发表了90余篇论文，出版了6本教科书，主要涉及混沌神经网络、基于人工智能的金融技术系统、智能代理技术、混沌密码系统、代理本体、神经振荡器、生物统计学、天气模拟和预报系统等领域。从商业方面来说，李树德博士于2012年至2017年间受邀加入中国利安达投资集团，担任集团首席技术官和首席分析师，为1000多名投资者研发了基于人工智能金融技术领域的发明–中国主要大宗商品金融预测系统。2017年3月，李树德博士建立了全球量子金融预测中心QFFC (http://qffc.uic.edu.cn), 此中心为非牟利，基于人工智能金融技术研发，旨在为全球商人提供一个自由且开放的平台。个人投资者可免费获得通过先进的人工智能、混沌神经网络和量子理论技术预测分析全球129 种金融产品。目前，QFFC在全球拥有超过10000名注册会员，会员主要来自全球大型基金公司和金融机构的专业交易员、定量分析师和独立投资者。在QFFC 项目完成量子金融预测系统实现自动化后，李树德博士加入了联合国际学院(UIC)并继续对人工智能作进一步地研究和探索，并为学生及社团在人工智能、混沌神经网路以及相关智能领域做出了重大贡献。他的最新著作《Artificial Intelligence in Daily Life》作为UIC人工智能课程的教材，于2020年8月初由Springer NATURE出版社出版发行。教育背景 1989 理学士香港大学（物理） 1997 理学硕士香港理工大学（资讯科技） 2000 博士香港理工大学（计算机科学）

研究领域

人工智能量子金融财务预测系统智能交易系统基于人工智能的金融科技系统人工智能聊天机器人数据挖掘和机器学习混沌神经网络智能代理

近期论文

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N. Shi, Z. Chen, L. Chen and R. S. T. Lee (2022) "CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification," in IEEE Access, vol. 10, pp. 129564-129579, 2022, doi: 10.1109/ACCESS.2022.3228600. Jiahao Lee, Zihao Huang, Lirong Lin, Yuchen Guo and Raymond Lee* (2022) Chaotic Bi-LSTM and Attention HLCO Predictor Based Quantum Price Level Fuzzy Logic Trading System, Soft Computing.?DOI: 10.1007/s00500-022-07626-3. Qiu Y, Qiu Y, Yuan Y, Chen Z and Lee Raymond (2021) QF-TraderNet: Intraday Trading via Deep Reinforcement With Quantum Price Levels Based Profit-And-Loss Control. Frontier in Artificial Intelligence 4:749878. doi: 10.3389/frai.2021.749878. N. Shi, Q. Zeng, Raymond Lee (2021) The Design and Implementation of Intelligent English Learning Chabot based on Transfer Learning Technology.? Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 32-42. Weiming Mai and Raymond S.T. Lee (2021) An Application of the Associate Hopfield Network for Pattern Matching in Chart Analysis, Appl. Sci. 2021, 11, 3876. https://doi.org/10.3390/app11093876. Lee, Raymond S. T. (2020), Artificial Intelligence in Daily Life, SpringerNATURE, Singapore. ISBN: 978-9811576942. Raymond S. T. Lee (2020), “Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction,” IEEE Transactions on Fuzzy Systems, 28(4) 731-745. Cui, Y., Huang, C., Lee, Raymond (2020), 'AI Tutor: A Computer Science Domain Knowledge Graph-Based QA System on JADE platform', World Academy of Science, Engineering and Technology, Open Science Index 168, International Journal of Industrial and Manufacturing Engineering, 14(12), 543 - 553. Nuobei SHI, Qin Zeng and Raymond Lee (2020), “XAI Language Tutor - A XAI-based Language Learning Chatbot using Ontology and Transfer Learning Techniques”, International Journal on Natural Language Computing (IJNLC), 9(5), 2319 – 4111. DOI: 10.5121/ijnlc.2020.9501 Yitao QIU, Rongkai LIU and Raymond Lee (2020) The Design and Implementation of Quantum Finance-based Hybrid Deep Reinforcement Learning Portfolio Investment System, 2020 International Symposium on Automation, Information and Computing (ISAIC 2020), 2 - 4 Dec 2020, Beijing, China. Nuobei SHI, Qin Zeng and Raymond Lee (2020), “Language Chatbot – The Design and Implementation of English Language Transfer Learning Agent Apps”, I2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), pp. 403 - 407, 20 - 22 November 2020, Shenyang, China. Nuobei SHI, Qin Zeng and Raymond Lee (2020), “The design and implementation of language learning chatbot with XAI using Ontology and Transfer Learning”, International Conference on NLP & Big Data (NLPD 2020), pp. 305-323, Sept. 2020, Copenhagen, Denmark. Lee, Raymond S. T. (2019), Quantum Finance - Intelligent Forecast and Program Trading Systems, SpringerNATURE, Singapore. ISBN: 978-981-32-9795-1. Raymond S. T. Lee (2019), “Chaotic Interval Type-2 Fuzzy Neuro-oscillatory Network (CIT2-FNON) for Financial Prediction,” International Journal of Fuzzy Systems 21(7), 2223-2244. Raymond S. T. Lee (2019), “COSMOS Trader – Chaotic Neuro-oscillatory Multiagent Financial Prediction and Trading System,” The Journal of Finance and Data Science 5 61-82. Turing Y. F. Qiu, Alex Y. C. Yuan, Peter Z. Chen and Raymond S. T. Lee (2019), “Hybrid Chaotic Radial Basis Function Neural Oscillatory Network (HCRBFNON) for Financial Forecast and Trading System,” IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), Xiamen, China, 6-9 Dec, pp. 2811-2818. Y. Qiu and R. S. T. Lee (2019), "A Hybrid Chaotic Oscillatory Neural Network (HCONN) Based Financial Time Series Prediction System," IOP Conference Series: Materials Science and Engineering, vol. 646, pp. 12024. Lim, Edward H. Y., Liu, James N. K. and Lee, Raymond S. T. (2011), Knowledge Seeker – Ontology Modelling for Information Search and Management, Springer-Verlag, Germany. ISBN: 978-3-642-17915-0. Toby H. W. Lam, James N. K. Liu, Raymond S. T. Lee (2009), “Master: an Intelligent Ontology-Based Multi-Agent System for Sightseer,” International Journal of Software Engineering and Knowledge Engineering 19(2): 137-157. Toby H. W. Lam, Raymond S. T. Lee, David Zhang (2007), “Human gait recognition by the fusion of motion and static spatio-temporal templates,” Pattern Recognition 40(9): 2563-2573. Hui Chen ; Perry P. Y. Lam ; Henry C. B. Chan ; Tharam S. Dillon ; Jiannong Cao ; Raymond S. T. Lee (2007), “Business-to-Consumer Mobile Agent-Based Internet Commerce System (MAGICS),” IEEE Transactions on Systems, Man and Cybernetics (Part C) 37(6) 1174 - 1189. Lee, Raymond S. T. and Loia, Vincenzo (Eds) (2007), Computation Intelligence for Agent-based Systems, Springer-Verlag, Heidelberg, Germany. ISBN: 978-3-642-09220-6. Edward H. Y. Lim, Raymond S. T. Lee (2007), “iJADE InfoSeeker: On Using Intelligent Context-Aware Agents for Retrieving and Analyzing Chinese Web Articles. Computational Intelligence for Agent-based Systems,” 127-153. Lee, Raymond S. T. (2006), Fuzzy-Neuro Approach to Agent Applications (From the AI Perspective to Modern Ontology), Springer-Verlag, Heidelberg Germany. ISBN: 3-540-21203-5. Raymond S. T. Lee (2006), “LEE-Associator – A Transient Chaotic Autoassociative Network for Progressive Memory Recalling,” Neural Networks, 19(5): 644-666. Lee, Raymond S. T. (2005), Advanced Paradigms in Artificial Intelligence From Neural Oscillators, Chaos Theory to Chaotic Neural Networks, Advanced Knowledge International, Australia. ISBN: 0-9752150-3-5. Janice W.Y. Hui, Toby H.W. Lam and Raymond S.T. Lee (2005), “The Design and Implementation of an Intelligent Negotiation Shopping System,” An International Journal of Multiagent and Grid Systems 1 131-146. Gary C. L. Li and Raymond S. T. Lee (2005), “A Real-Time Scene Segmentation System Using Solely Excitatory Oscillator Networks (SEON),” Journal of Intelligent Manufacturing 16(6) 669-678. Lee, Raymond S. T. (2004), "A Transient-chaotic Auto-associative Network (TCAN) based on LEE-oscillators", IEEE Transactions on Neural Networks 15(5) 1228-1243. Lee, Raymond S. T. and Liu, James N. K. (2004), iJADE WeatherMAN: A Weather Forecasting System using Intelligent Multi-Agent Based Fuzzy-Neuro Network, IEEE Transactions on Systems, Man and Cybernetics (Part C) 34(3) 369-377. Lee, Raymond S. T. and Liu, James N. K. (2004), "iJADE Web-miner: An Intelligent Agent Framework for Internet Shopping", IEEE Transactions on Knowledge and Data Engineering 16(4) 461-473. Lee, Raymond S. T. (2004), "iJADE Stock Advisor: An Intelligent Agent based Stock Prediction System using Hybrid RBF Recurrent Network", IEEE Transactions on Systems, Man and Cybernetics (Part A) 34(3) 421-428. Lee, Raymond S. T. and Liu, James N. K. (2003), Invariant Object Recognition Based on Elastic Graph Matching: Theory and Applications, IOS Press. ISBN: 1-58603-296-8. Lee, Raymond S. T. (2003), “iJADE Surveillant – An Intelligent Multi-resolution Composite-Neuro-Oscillatory Agent-based Surveillance System”, Pattern Recognition 36 1425-1444. Lee, Raymond S. T. and Liu, James N. K. (2002), "Scene Analysis using an Integrated Composite Neural Oscillatory Elastic Graph Matching Model", Pattern Recognition 35 1835-1846. Lee, Raymond S. T. and Liu, James N. K. (2002), "An Automatic Tropical Cyclone Pattern Recognition and Classification System Using Composite Neural Oscillatory-Based EGDLM", International Journal of Fuzzy Systems 4(1) 616-625. Lee, Raymond S. T. (2002), "Elastic Face Recognizer: Invariant Face Recognition based on Elastic Graph Matching Model", International Journal of Pattern Recognition and Artificial Intelligence 16(4) 463-479. Lee, R. S. T. and Liu, J.N.K. (2002), "SCENOGRAM - Scene analysis using CompositE Neural Oscillatory-based elastic GRAph Model", International Journal of Pattern Recognition and Artificial Intelligence 16(2) 215-237. Lee, Raymond S. T. (2002), "iJADE Authenticator - An Intelligent Multi-agent based Facial Authentication System", International Journal of Pattern Recognition and Artificial Intelligence 16(4) 481-500. Chan, H. C. B., Lee, R. S. T., Dillion, T. S. and Chang, E. (2001), E-Commerce: Fundamentals and Applications, John Wiley and Sons Ltd. ISBN: 0-471-49303-1. Lee, Raymond S. T. and Liu, James N. K. (2001), "An Elastic Contour Matching Model for Tropical Cyclone Pattern Recognition", IEEE Transactions on Systems, Man and Cybernetics (Part B) 31(3) 413-417. Lee, Raymond S. T. and Liu, James N. K. (2001), "NORN Predictor- Stock Prediction using a Neural Oscillatory-based Recurrent Network", International Journal of Computational Intelligence and Applications 1(4) 439-451. Lee, Raymond S. T. and Liu, James N. K. (2000), “Tropical Cyclone Identification and Tracking System using integrated Neural Oscillatory Elastic Graph Matching and hybrid RBF Network Track mining techniques”, IEEE Transaction on Neural Network 11(3) 680-689.