吳政隆

副教授
專任_吳政隆老師

吳政隆   Wu, Jheng-Long Associate Professor

東吳大學資料科學系副教授

研究室: 外雙溪校區第二教研大樓 D0213
校內分機 : 6393
聯絡信箱 : jlwu@gm.scu.edu.tw

現職

東吳大學資料科學系副教授

研究領域

    • 文字探勘
    • 深度學習
    • 機器學習
    • 文本情感分析
    • 股市預測
    • 自然語言處理

開設課程

  • 大學部課程
    • 文字探勘導論
    • 資訊檢索
  • 碩士班課程
    • 文字探勘與自然語言處理
    • 巨量資料應用專題
    • 推薦系統
  • 碩士在職專班課程
    • 文字探勘與知識工程

 

學歷

  • Ph. D., Department of Information Management, Yuan Ze University, 2013/06
  • Master, Graduate School of Management Science, Aletheia University, 2009/06
  • Bachelor, Department of Information Management, Ching Yun University, 2007/06

經歷

  • Associate Professor, Department of Data Science, Soochow University, 2021/08 to now
  • Assistant Professor, School of Big Data Management, Soochow University, 2018/08 to 2021/07
  • Assistant Professor, Department of Information Management, Chinese Culture University, 2018/02 to 2018/07
  • Visiting Scholars, Institute of Information Science, Academia Sinica, 2017/10 to 2017/12
  • Postdoc Researcher, Institute of Population Health Sciences, National Health Research Institutes, 2017/05 to 2018/02
  • Postdoc Researcher, Institute of Information Science, Academia Sinica, 2015/08 to 2017/06
  • Postdoc Researcher, Information Management, Yuan Ze University, 2014/08 to 2015/07

榮譽

  • Second placePost Big Data competition, Chunghwa Post Co. Ltd., 2019/06/28
  • Second place, 2019 教育部全國大專校院人工智慧競賽 (AI CUP)「新聞立場檢索應用獎金賽」, 2019
  • 論文
    • Bike sharing demand prediction by artificial immune system and artificial neural network forecasting technique
      Pei-Chann Chang*, Jheng-Long Wu, Yahui Xu and Ming Zhang
      Soft Computing 23(2), 613-262. (SCI)
      (2019, January)
    • A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection
      Xiao-Yong Lu, Mu-Sheng Chen, Jheng-Long Wu, Pei-Chan Chang* and Meng-Hui Chen
      Pattern Analysis and Applications 21(2), 741-754. (SCI)
      (2018, August)
    • A multiple time series-based recurrent neural network for short-term load forecasting
      Bin Zhang, Jheng-Long Wu and Pei-Chann Chang*
      Soft Computing, 22(12), 4099-4112. (SCI)
      (2018, June)
    • A deep recurrent neural network for air quality classification
      Xiaosong Zhao and Rui Zhang*, Pei-Chann Chang and Jheng-Long Wu
      Journal of Information Hiding and Multimedia Signal Processing, 9(2), 346-354. (EI)
      (2018, June)
    • A population-based incremental learning approach with artificial immune system for network intrusion detection
      Meng-Hui Chen, Pei-Chann Chang* and Jheng-Long Wu
      Engineering Applications of Artificial Intelligence, 51, 171-181. (SCI)
      (2016, May)
    • An automatic patent quality analysis and classification system using self-organizing maps with support vector machine
      Jheng-Long Wu, Pei-Chann Chang*, Cheng-Chin Tsao and Chin-Yuan Fan
      Applied Soft Computing, 41, 305-316. (SCI)
      (2016, Jan)
    • A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting. Applied Soft Computing
      Pei-Chann Chang*, Jheng-Long Wu, Jyun-Jie Lin
      Applied Soft Computing, 38, 831-842. (SCI)
      (2016, Jan)
    • A critical feature extraction by kernel PCA in stock trading model
      Pei-Chann Chang* and Jheng-Long Wu
      Soft Computing, 19(5), 1393-1408. (SCI)
      (2015, May)
    • An intelligent stock trading system using comprehensive features
      Jheng-Long Wu, Liang-Chih Yu and Pei-Chann Chang*
      Applied Soft Computing, 23, 39-50. (SCI)
      (2014, Oct)
    • The stability analysis for a novel feedback neural network with partial connection
      Didi Wang, Pei-Chann Chang*, Jheng-Long Wu and Changle Zhou
      Neurocomputing, 116, 22-29. (SCI)
      (2013, Sep)
    • Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news
      Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang* and Hsuan-Shou Chu
      Knowledge-Based Systems, 41, 89-97. (SCI)
      (2013, Mar)
    • A block mining and re-Combination enhanced genetic algorithm for the permutation flowshop scheduling problem
      Pei-Chann Chang, Wei-Hsiu Huang, Jheng-Long Wu* and T.C.E. Cheng
      International Journal of Production Economics, 141(1), 45-55. (SCI)
      (2013, Jan)
    • Detecting causality from online psychiatric texts using inter-sentential language patterns
      Jheng-Long Wu, Liang-Chih Yu and Pei-Chann Chang*
      BMC Medical Informatics and Decision Making, 12, 72. (SCI)
      (2012, Jul)
    • A trend-based segmentation method and the support vector regression for financial time series forecasting
      Jheng-Long Wu and Pei-Chann Chang*
      Mathematical Problems in Engineering, Volume 2012, Article ID 615152, 1-20. (SCI)
      (2012, May)
    • Sentiment analysis of stock news using a PMI-based term expansion method
      Jheng-Long Wu*, Hsuan-Shuo Chu, Liang-Chih Yu and Pei-Chann Chang
      ICIC Express Letters, 6(2), 491-496. (EI)
      (2012, Feb)
    • Emotion classification by removal of the overlap from incremental association language features
      Jheng-Long Wu, Liang-Chih Yu and Pei-Chann Chang*
      Journal of the Chinese Institute of Engineers, 34(7), 947-955. (SCI)
      (2011, Oct)
  • 研討會論文
    • Patent quality classification system using the feature extractor of deep recurrent neural network
      Jheng-Long Wu*
      Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp2019), Kyoto, Japan, 1-8.
      (2019, February)
    • CEAM: A novel approach using cycle embeddings with attention mechanism for stock price prediction
      Mu-Hui Yu and Jheng-Long Wu*
      Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp2019), Kyoto, Japan, 1-4.
      (2019, February)
    • An intelligent patent summary system deploying natural language processing and machining learning
      Amy Trappey*, Charles Trappey, Jack W.-C. Wang and Jheng-Long Wu
      Proceedings of the 25th International Conference on Transdisciplinary Engineering (TE 2018), Modena, Italia,
      (2018, July)
    • A distributed word representation learning for time sequential text data visualization
      Jheng-Long Wu and Mu-Hui Yu*
      Proceedings of the 11th IEEE Pacific Visualization Symposium (PacificVis 2018), Kobe, Japan,
      (2018, April)
    • A deep learning framework for coreference resolution based on convolutional neural network
      Jheng-Long Wu and Wei-Yun Ma
      The 2017 IEEE 11th International Conference on Semantic Computing (IEEE ICSC 2017), San Diego, CA, USA, 61-64. (EI)
      (2017, Jan.)
    • A hybrid model combining SOMs with SVRs for patent quality analysis and classification
      Pei-Chann Chang, Jheng-Long Wu, Cheng-Chin Tsao and Chin-Yuan Fan
      The First International Conference on Data Mining and Big Data (DMBD 2016), Bali, Indonesia, 25-30. (EI)
      (2016, Jun)
    • A prediction system for bike sharing using artificial immune system with regression trees
      Jheng-Long Wu* and Pei-Chann Chang
      The 4th International Congress on Advanced Applied Informatics (AAI 2015), Okayama, Japan, 12-16. (EI)
      (2015, Jul)
    • A patent quality classification system using a kernel-PCA with SVM
      Pei-Chann Chang*, Jheng-Long Wu, Cheng-Chin Tsao and Meng-Hsuan Lin
      The Ninth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2015), Nice, France, 19-24. (EI)
      (2015, Jul)
    • The weighted support vector machines for the stock turning point prediction
      Pei-Channg Chang* and Jheng-Long Wu
      The 14th International Conference on Intelligent Systems Design and Applications, Okinawa, Japan, 27-29. (EI)
      (2014, Nov)
    • A critical feature extraction by kernel PCA in financial forecasting
      Pei-Chann Chang, Jheng-Long Wu*, Jyun-Jie Lin and Zheng-Hao Huang
      World Academy of Science, Engineering and Technology 77 2013, Tokyo, Japan, 1368-1374. (EI)
      (2013, May)
    • A hyper sphere based artificial immune system for network intrusion detection
      Pei-Chann Chang, Jheng-Long Wu, Jyun-Jie Lin and Yu-Chi Yeh
      World Academy of Science, Engineering and Technology 77 2013, Tokyo, Japan, 1533-1538. (EI)
      (2013, May)
    • Stock price predication using combinational features from sentimental analysis of stock news and technical analysis of trading information
      Jheng-Long Wu*, Chen-Chi Su, Liang-Chih Yu and Pei-Chann Chang
      The 3rd International Conference on Economics, Business and Management (ICEBM 2012), Kuala Lumpur, Malaysia, 39-43. (EI)
      (2012, Dec)
    • Combine a population-based incremental learning with artificial immune system for intrusion detection
      Jheng-Long Wu*, Pei-Chann Chang and Hsuan-Ming Chen
      World Academy of Science, Engineering and Technology 65 2012, Tokyo, Japan, 736-741. (EI)
      (2012, May)
    • Building a trend based segmentation method with SVR model for stock turning detection
      Jheng-Long Wu*, Pei-Chann Chang and Yi-Fang Pan
      World Academy of Science, Engineering and Technology 65 2012, Tokyo, Japan, 731-735. (EI)
      (2012, May)
    • A puzzle-based artificial chromosome genetic algorithm for the traveling salesman problem
      Zhen-Zhen Zhang, Wei-Hsiu Huang, Jyun-Jie Lin, Pei-Chann Chang* and Jheng-Long Wu
      The 2011 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011), Taoyuan, Taiwan, 299-304. (EI)
      (2011, Nov)
    • A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting
      Didi Wang, Pei-Chann Chang, Jheng-Long Wu and Changle Zhou
      The 2011 Seventh International Conference on Intelligent Computing (ICIC 2011), Zhengzhou, China, 14-19. (EI)
      (2011, Aug)
    • Stability Analysis of a Partially Connected Feedback Neural Network
      Didi Wang, Changle Zhou, Pei-Chann Chang, Wei-Hsiu Huang, Jheng-Long Wu and Kai-Ting Chang
      The 2011 3rd International Conference on Computer Engineering and Technology (ICCET 2011), Kuala Lumpur, Malaysia, 245-250. (EI)
      (2011, Jun)
    • A New Method based on Discrete Cosine Transform for Removal of ECG Baseline Wander
      Kai-Tao Yang, Jyun-Jie Lin, Pei-Chann Chang, Shao-Zi Li, Jheng-Long Wu and Yi-Chan Wu
      The 2011 3rd International Conference on Computer Engineering and Technology (ICCET 2011), Kuala Lumpur, Malaysia, 209-214. (EI)
      (2011, Jun)
    • Linkage learning by block mining in genetic algorithm for permutation flow-shop scheduling problems
      Zhen-Zhen Zhang, Pei-Chann Chang, Wei-Hsiu Huang, Jheng-Long Wu and Lin Hsu
      The 2011 3rd International Conference on Computer Engineering and Technology (ICCET 2011), Kuala Lumpur, Malaysia, 203-208. (EI)
      (2011, Jun)
    • A Collaborative Trading Model by Support Vector Regression and TS Fuzzy Rule for Daily Stock Turning Points Detection
      Jheng-Long Wu, Pei-Chann Chang, Kai-Ting Chang and Li Zhang
      The 2011 3rd International Conference on Computer Engineering and Technology (ICCET 2011), Kuala Lumpur, Malaysia, 185-190. (EI)
      (2011, Jun)
    • Using inter-sentential language patterns for causality identification from emotion texts
      Jheng-Long Wu, Shih-Ling Chang, Liang-Chih Yu and Pei-Chann Chang
      The 2010 2nd International Conference on Information and Multimedia Technology (ICIMT 2010), Hong-Kong, China, 57-61.
      (2010, Dec)
    • Emotion classification by incremental association language features
      Jheng-Long Wu, Pei-Chann Chang, Shih-Ling Chang, Liang-Chih Yu, Jui-Feng Yeh and Chin-Sheng Yang
      World Academy of Science, Engineering and Technology 65 2010, Tokyo, Japan, 487-491. (EI)
      (2010, May)
    • Social chance discovery
      Chao-Fu Hong, Chien-Jen Huang and Jheng-Long Wu
      The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, TX, USA, 1710-1713. (EI)
      (2009, Oct)
    • The framework of competitive advantage based chance discovery
      Chao-Fu Hong, Leuo-Hong Wang* and Jheng-Long Wu
      The 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 3680-3684. (EI)
      (2008, Oct)

  • 指導學生
    • 2017.07 研究生:林彥吟(與黃寬丞教授共同指導)論文題目:探討知覺公平對顧客忠誠之影響:比較營收型與哩程型常客計畫 學校:交通大學

    • 2017.08 研究生:胡成強(與黃寬丞教授共同指導)論文題目:航空公司貨運營業人員議價考量因素之研究 學校:交通大學

  • 計畫執行
    • An stock trading prediction system using deep generative adversarial neural network, Ministry of Science and Technology, 2018/05/01 – 2020/04/30, NTD$1,426,000
    • Traffic flow prediction using deep learning model with multiple time series attention mechanisms, Ministry of Science and Technology, 2020/08/01 – 2021/07/31, NTD$746,000

TEACHING EXPERIENCES

  • Undergraduate Courses:
    • Text Mining
    • Information Retrieval
  • Graduate Courses:
    • Text Mining and Natural Language Processing
    • Text Mining and Knowledge Engineering
    • Big Data Application Project
    • Recommendation System

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