LABORATORY

實驗室介紹
  • 實驗室名稱 :

    金融科技核心技術實驗室

  • 實驗室成員 :

    謝孫源(負責)、楊家輝、高宏宇、莊坤達、黃仁暐

主要研究方向
  • 開發創新FinTech核心技術
  • 協助本中心其它六個主題實驗室團隊相關技術支援
  • 協助中心產學合作夥伴之產業技術升級或轉型
  • 與國際標竿中心雙邊合作,共同開發具競爭力的核心技術或系統
近期文章發表
  1. Chen, C. Y., Hsieh, S. Y., Le, H. O., Le, V. B., & Peng, S. L. "Matching cut in graphs with large minimum degree." Algorithmica 83.5 (2021): 1238-1255.
  2. Lin, L., Huang, Y., Lin, Y., Xu, L., & Hsieh, S. Y. "An Analysis on the Reliability of the Alternating Group Graph." IEEE Transactions on Reliability 70.4 (2021): 1542-1555.
  3. Yan, H. Y., Cheng, D. W., Lin, P. C., Chou, H. H., Shen, M. R., & Hsieh, S. Y. "Using Evolutionary Trees for the Colorectal Cancer Prognosis Prediction." Computational Biology and Bioinformatics 9.1 (2021): 1-14.
  4. Cheng, D. W., Yao, K. H., & Hsieh, S. Y. "Constructing independent spanning trees on generalized recursive circulant graphs." IEEE Access 9 (2021): 74028-74037.
  5. Huang, J. F., Zhang, G. H., & Hsieh, S. Y. "Real-time energy data compression strategy for reducing data traffic based on smart grid AMI networks." The Journal of Supercomputing 77.9 (2021): 10097-10116.
  6. Yang, Y. C., Kao, S. S., Klasing, R., Hsieh, S. Y., Chou, H. H., & Chang, J. M. "The construction of multiple independent spanning trees on burnt pancake networks." IEEE Access 9 (2021): 16679-16691.
  7. Liang, W. H., Cheng, D. W., Hsu, C. W., Lee, C. W., Keand, C. H., Zomaya, A. Y., & Hsieh, S. Y. "Dynamic Flow Scheduling Technique for Load Balancing in Fat-Tree Data Center Networks." International Journal of Performability Engineering 17.6 (2021).
  8. Yang, Y. C., Kao, S. S., Klasing, R., Hsieh, S. Y., Chou, H. H., & Chang, J. M. "The construction of multiple independent spanning trees on burnt pancake networks." IEEE Access 9 (2021): 16679-16691.
  9. Hsieh, S. Y., Le, V. B., & Peng, S. L. "On the d-Claw Vertex Deletion Problem." International Computing and Combinatorics Conference. Springer, Cham, 2021.
  10. Chang, N. W., Wu, H. J., & Hsieh, S. Y.  "A Study for Conditional Diagnosability of Pancake Graphs." International Computing and Combinatorics Conference. Springer, Cham, 2021.
  11. Cheng, D. W., Chang, J. Y., Lin, C. Y., Lin, L., Huang, Y., Thulasiraman, K., & Hsieh, S. Y. "Node Failure Survivability: An Efficient Logical Topology Mapping Algorithm for IP-over-WDM Optical Networks." Proceedings of the he 14th Annual Meeting of the Asian Association for Algorithms and Computation, 2021.
  12. Lin, L., Huang, Y., Wang, D., Hsieh, S. Y., & Xu, L. "A Novel Measurement for Network Reliability." IEEE Transactions on Computers 70.10 (2020): 1719-1731.
  13. Lin, L., Huang, Y., Xu, L., & Hsieh, S. Y. "A complete fault tolerant method for extra fault diagnosability of alternating group graphs." IEEE Transactions on Reliability 70.3 (2020): 957-969.
  14. Chang, N. W., & Hsieh, S. Y. "Conditional diagnosability of alternating group networks under the PMC model." IEEE/ACM Transactions on Networking 28.5 (2020): 1968-1980.
  15. Lee, C. W., Hsieh, S. Y., & Yang, S. S. "R3-connectivity of folded hypercubes." Discrete Applied Mathematics 285 (2020): 261-273.
  16. Huang, J. F., & Hsieh, S. Y. "Recursive and parallel constructions of independent spanning trees in alternating group networks." International Journal of Computer Mathematics: Computer Systems Theory 5.4 (2020): 234-262.
  17. Hsieh, S. Y., Huang, S. J., & Ho, T. H. "Multilevel length-based classified index table for IP lookups and updates." Journal of Computer and System Sciences 112 (2020): 66-84.
  18. Huang, J. F., Cheng, E., & Hsieh, S. Y. "Two algorithms for constructing independent spanning trees in (n, k)-star graphs." IEEE Access 8 (2020): 175932-175947.
  19. Lin, C. F., Huang, J. F., & Hsieh, S. Y. "Constructing independent spanning trees on transposition networks." IEEE Access 8 (2020): 147122-147132.
  20. Huang, J. F., Kao, S. S., Hsieh, S. Y., & Klasing, R. "Top-down construction of independent spanning trees in alternating group networks." IEEE Access 8 (2020): 112333-112347.
  21. Hsieh, S. Y., Liu, C. S., Buyya, R., & Zomaya, A. Y. "Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers." Journal of Parallel and Distributed Computing 139 (2020): 99-109.
  22. Cheng, C. W., Hsieh, S. Y., & Klasing, R. "Vulnerability of super extra edge-connected graphs." Journal of Computer and System Sciences 108 (2020): 1-9.
  23. Chen, C. Y., & Hsieh, S. Y. "An efficient approximation algorithm for the Steiner tree problem." Complexity and Approximation. Springer, Cham, 2020. 238-251.
  24. Chen, L. H., Hsieh, S. Y., Hung, L. J., & Klasing, R. "Approximation algorithms for the p-hub center routing problem in parameterized metric graphs." Theoretical Computer Science 806 (2020): 271-280.
  25. Wang, Z., Mao, Y., Hsieh, S. Y., & Wu, J. "On the g-good-neighbor connectivity of graphs." Theoretical Computer Science 804 (2020): 139-148.
  26. Cheng, D. W., Chan, C. T., & Hsieh, S. Y. "Constructing independent spanning trees on pancake networks." IEEE Access 8 (2019): 3427-3433.
  27. Chou, H. H., Hsu, C. T., Chen, L. H., Lin, Y. C., & Hsieh, S. Y. "A Novel Branch-and-Bound Algorithm for the Protein Folding Problem in the 3D HP Model." IEEE/ACM Transactions on Computational Biology and Bioinformatics 18.2 (2019): 455-462.
  28. Chen, C. T., Hung, L. J., Hsieh, S. Y., Buyya, R., & Zomaya, A. Y. "Heterogeneous job allocation scheduler for Hadoop MapReduce using dynamic grouping integrated neighboring search." IEEE Transactions on Cloud Computing 8.1 (2017): 193-206.
  29. Sung, P. W., Yang, W. J., Yang, J. F., & Chan, D. Y. "An interactive instance segmentation system with multi‐resolution convolutional neural networks." IET Computer Vision 15.2 (2021): 99-109.
  30. Huang, C. S., Huang, Y. H., Chan, D. Y., & Yang, J. F. "Shape-reserved stereo matching with segment-based cost aggregation and dual-path refinement." EURASIP Journal on Image and Video Processing 2020.1 (2020): 1-19.
  31. Liou, J. S., Yang, J. F., & Mao, S. "Real-time Multi-person 3D Pose Estimation Convolutional Neuron Networks." International Conference on Intelligent Information Processing Systems and Applications. 2020.
  32. Yang, W. J., Huang, C. H., Chung, P. C., & Yang, J. F. "Pixel-Precision Disparity Estimation with Stereo Matching Convolution Neural Networks." Taiwan Telecommunication Annual Symposium, 2020.
  33. Wen, Y. C., Yang, J. F., & Mao, S. "Face Cartoonization with Arbitrary Styles." International Computer Symposium, 2020.
  34. Liow, W. J., Yang, J. F., & Mao, S. "AI-base Lane Detection with Self Attention Mechanism for Autonomous Driving." International Computer Symposium, 2020.
  35. Huang, C. H., Chuang, C. K., & Yang, J. F. "Stereo Matching with Mutiscale Correlation Neural Networks." International Computer Symposium, 2020.
  36. Yang, J. F., Lee, K. T., Chen, G. C., Yang, W. J., & Yu, L. "A YCbCr color depth packing method and its extension for 3D video broadcasting services." IEEE Transactions on Circuits and Systems for Video Technology 30.9 (2019): 3043-3053.
  37. Hsu, C. W., Carvalho, A. F., Tsai, S. Y., Wang, L. J., Tseng, P. T., Lin, P. Y., ... & Kao, H. Y. "Lithium concentration and recurrence risk during maintenance treatment of bipolar disorder: Multicenter cohort and meta‐analysis." Acta Psychiatrica Scandinavica 144.4 (2021): 368-378.
  38. Ni, S., Li, J., & Kao, H. Y. "MVAN: Multi-View Attention Networks for Fake News Detection on Social Media." IEEE Access 9 (2021): 106907-106917.
  39. Hsu, C. W., Wang, L. J., Lin, P. Y., Hung, C. F., Yang, Y. H., Chen, Y. M., & Kao, H. Y. "Differences in psychiatric comorbidities and gender distribution among three clusters of personality disorders: a nationwide population-based study." Journal of clinical medicine 10.15 (2021): 3294.
  40. Hsu, C. W., Tseng, P. T., Tu, Y. K., Lin, P. Y., Hung, C. F., Liang, C. S., ... & Kao, H. Y. "Month of birth and mental disorders: A population‐based study and validation using global meta‐analysis." Acta Psychiatrica Scandinavica 144.2 (2021): 153-167.
  41. Yeh, C. Y., Chung, Y. T., Chuang, K. T., Shu, Y. C., Kao, H. Y., Chen, P. L., ... & Ko, N. Y. "An Innovative Wearable Device For Monitoring Continuous Body Surface Temperature (HEARThermo): Instrument Validation Study." JMIR mHealth and uHealth 9.2 (2021): e19210.
  42. Pugoy, R. A., & Kao, H. Y. "Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering." Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
  43. Li, J., Ni, S., & Kao, H. Y. "Meet the truth: Leverage objective facts and subjective views for interpretable rumor detection." arXiv preprint arXiv:2107.10747 (2021).
  44. Li, J., Ni, S., & Kao, H. Y. "Birds of a feather rumor together? Exploring homogeneity and conversation structure in social media for rumor detection." IEEE Access 8 (2020): 212865-212875.
  45. Yang, K. C., & Kao, H. Y. "Generalize Sentence Representation with Self-Inference." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 05. 2020.
  46. Niven, T., & Kao, H. Y. "Measuring alignment to authoritarian state media as framing bias." Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda. 2020.
  47. Li, J., Sujana, Y., & Kao, H. Y. "Exploiting microblog conversation structures to detect rumors." Proceedings of the 28th International Conference on Computational Linguistics. 2020.
  48. Ni, S., & Kao, H. Y. "PSForest: Improving deep forest via feature pooling and error screening." Asian Conference on Machine Learning. PMLR, 2020.
  49. Niven, T., Kao, H. Y., & Wang, H. Y. "Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission." CLEF (Working Notes). 2020.
  50. Sujana, Y., Li, J., & Kao, H. Y. "Rumor detection on Twitter using multiloss hierarchical BiLSTM with an attenuation factor." arXiv preprint arXiv:2011.00259 (2020).
  51. Ting, L. P. Y., Wu, P. H., Jhang, J. Y., Yang, K. J., Chen, Y. J., & Chuang, K. T. "Boosting Latent Inference of Resident Preference from Electricity Usage-A Demonstration on Online Advertisement Strategies." International Conference on Big Data Analytics and Knowledge Discovery. Springer, Cham, 2021.
  52. Lin, C. C., Chuang, K. T., Wu, W. C. H., & Chen, M. S. "Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better." ACM Transactions on Knowledge Discovery from Data (TKDD) 14.2 (2020): 1-27.
  53. Chang, C. W., Chen, C. D., & Chuang, K. T. "Queries of K-discriminative paths on road networks." Knowledge and Information Systems 62.5 (2020): 1751-1780.
  54. Chung, Y. T., Yeh, C. Y., Shu, Y. C., Chuang, K. T., Chen, C. C., Kao, H. Y., ... & Ko, N. Y. "Continuous temperature monitoring by a wearable device for early detection of febrile events in the SARS-CoV-2 outbreak in Taiwan, 2020." Journal of microbiology, immunology, and infection 53.3 (2020): 503.
  55. Ting, L. P. Y., Teng, S. Y., Chuang, K. T., & Lim, E. P. "Learning personal conscientiousness from footprints in e-learning systems." 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020.
  56. Wong, P. Y., Su, H. J., Lee, H. Y., Chen, Y. C., Hsiao, Y. P., Huang, J. W., ... & Spengler, J. D. "Using land-use machine learning models to estimate daily NO2 concentration variations in Taiwan." Journal of Cleaner Production 317 (2021): 128411.
  57. Huang, J. W., Lee, P. J., & Jaysawal, B. P. "Multiscale Control Chart Pattern Recognition Using Histogram-Based Representation of Value and Zero-Crossing Rate." IEEE Transactions on Industrial Electronics 69.1 (2021): 684-693.
  58. Huang, J. W., Jaysawal, B. P., & Wang, C. C. "Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously." Data Mining and Knowledge Discovery 35.4 (2021): 1225-1257.
  59. Wong, P. Y., Hsu, C. Y., Wu, J. Y., Teo, T. A., Huang, J. W., Guo, H. R., ... & Spengler, J. D. "Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan." Environmental Modelling & Software 139 (2021): 104996.
  60. Ma, H. S., Li, S. C., Jian, Z. J., Kuo, Y. H., & Huang, J. W. "Local Community Detection by Local Structure Expansion and Exploring the Local Communities for Target Nodes in Complex Networks." Journal of Information Science & Engineering 37.3 (2021).
  61. Ma, H. S., & Huang, J. W.  "User Preference Translation Model for Next Top-k Items Recommendation with Social Relations." International Conference on Database Systems for Advanced Applications. Springer, Cham, 2021.
  62. Ke, Y. H., Huang, J. W., Lin, W. C., & Jaysawal, B. P. "Finding possible promoter binding sites in DNA sequences by sequential patterns mining with specific numbers of gaps." IEEE/ACM Transactions on Computational Biology and Bioinformatics 18.6 (2020): 2459-2470.
  63. Liu, C. L., Fu, S. W., Li, Y. J., Huang, J. W., Wang, H. M., & Tsao, Y. "Multichannel speech enhancement by raw waveform-mapping using fully convolutional networks." IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 1888-1900.
  64. Huang, J. W., Wu, Y. B., & Jaysawal, B. P. "On Mining Progressive Positive and Negative Sequential Patterns Simultaneously." Journal of Information Science & Engineering 36.1 (2020).
  65. Huang, J. W., Zhong, M. X., & Jaysawal, B. P. "Tadilof: time aware density-based incremental local outlier detection in data streams." Sensors 20.20 (2020): 5829.
  66. Sung, C. E., Ma, H. S., & Huang, J. W. "Positive influence maximization and negative influence minimization in signed networks under competitive independent cascade model." 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2020.
  67. Jaysawal, B. P., & Huang, J. W. "SOHUPDS: a single-pass one-phase algorithm for mining high utility patterns over a data stream." Proceedings of the 35th Annual ACM Symposium on Applied Computing. 2020.
  68. Ma, H. S., & Huang, J. W. "User preference translation model for recommendation system with item influence diffusion embedding." 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020.
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