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 place, Post 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