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    其他著作
    類型著作著作人
    期刊論文Jiun-Hung Yu and H.-A. Loeliger, ''Simultaneous partial inverses and decoding interleaved Reed-Solomon codes,'' IEEE Trans. Information Theory, 2018. (To appear)余俊宏
    會議論文C.-F. Chin and M. Ng Mou Kehn, "Modal analysis of longitudinal corrugated rods using asymptotic boundary conditions," Proc. International Symposium on Antennas & Propagation (ISAP) 2018, Busan, S. Korea, Oct. 2018.黃謀勤
    期刊論文M. Ng Mou Kehn, "Modal analysis of metallic screen with finite conductivity perforated by an array of subwavelength rectangular flared holes." accepted for publication in Opt. Exp., 2018.黃謀勤
    會議論文Hong-Wen Chiou, Yu-Min Lee, Shin-Yu Shiau, Chi-Wen Pan, Tai-Yu Chen, “Phone-nomenon: A System-Level Thermal Simulator for Handheld Devices,” to appear in Asia South Pacific Design Automation Conference (ASPDAC), 2019.李育民
    會議論文Hsuan-Hsuan Hsiao, Hong-Wen Chiou, Yu-Min Lee, “Multi-Angle Bended Heat Pipe Design Using X-Architecture Routing with Dynamic Thermal Weight on Mobile Devices,” to appear in Asia South Pacific Design Automation Conference (ASPDAC), 2019.李育民
    期刊論文H. C. Chou, N. L. Tung, and M. Ng Mou Kehn, "The double-focus generalized Luneburg lens design and synthesis using metasurfaces," IEEE Transactions on Antennas and Propagation, vol. 66, no. 9, pp. 4936-4941, Sep. 2018.黃謀勤
    期刊論文M. Ng Mou Kehn, "Extraordinary transmission through subwavelength hole arrays for general oblique incidence - mechanism as related to surface wave dispersion and Floquet lattice diagrams," Prog. Electromag. Res. (PIER), vol. 82, pp. 49-71, 2018.黃謀勤
    期刊論文 Journal Articles
    [6] H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining,” volume 30, issue 7, pages 1212-1225, July 2018. [5] H.-H. Shuai, D.-N. Yang, C.-Y. Shen, P. S. Yu, and M.-S. Chen, “QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee,” IEEE Trans. on Big Data, volume 4, issue 1, pages 90-104, March 2018. [4] C.-C. Chen, M.-S. Chen, and H.-H. Shuai, “Distributed and Scalable Sequential Pattern Mining through Stream Processing,” Knowledge and Information Systems Volume 53, Issue 2, pages 365-390, November 2017. [3] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, “A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee,” IEEE Trans. on Knowledge and Data Engineering, volume 28, number 1, pages 2-16, 2016. [2] Y.-C. Lin, D.-N. Yang, H. H. Shuai, and M.-S. Chen, “Data Acquisition for Probabilistic Nearest-Neighbor Query,” IEEE Trans. on Knowledge and Data Engineering, volume 27, number 2, pages 410-427, February 2015. [1] H.-H. Shuai, D.-N. Yang, W.-H. Cheng, and M.-S. Chen, “MobiUP: An Upsampling-Based System Architecture for High-Quality Video Streaming on Mobile Devices,” IEEE Trans. on Multimedia, volume 13, number 5, pages 1077-1091, October 2011.
    帥宏翰
    會議論文 
    Conference Papers [19] Y.-H. Hsieh, C.-C. Chen, H.-H. Shuai, and M.-S. Chen, “Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform,” IEEE International Conference on Data Mining (IEEE ICDM), 2018. Research Track Short Paper (accepting rate = 19.9%) [18] H.-H. Shuai, Y.-C. Lien, D.-N. Yang, Y.-F. Lan, W.-C. Lee, and P. S. Yu, “Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions,” ACM International Conference on Information and Knowledge Management (CIKM), 2018. (Research Track Full Paper, accepting rate = 17%) [17] H.-H. Shuai, C.-M. Tsai, Y.-J. Hsu, and T.-C. Hsiao, “On Accelerating Multi-Layered Heterogeneous Network Representation Learning,” IEEE Global Communication Conference (Globecom), 2018. (Research Track Full Paper, Acceptance Rate=38%) [16] Y.-T. Wen, W.-C. Peng, and H.-H. Shuai, “Maximizing Social Influence on Target Users,” Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2018. (Research Track Full Paper, Acceptance Rate=9.6% (57/592)) [15] H.-H. Shuai, Y.-H. Li, C.-C. Feng and W.-C. Peng, “Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments,” International World Wide Web Conference (WWW), 2018. (Demo Track) [14] Y.-T. Wen, P.-W. Yeh, T.-H. Tsai, W.-C. Peng, and H.-H. Shuai, “Customer Purchase Behavior Prediction from Payment Datasets,” ACM International Conference on Web Search and Data Mining (WSDM), 2018. (Research Track Paper, accepting rate = 16%) [13] C.-H. Liao, H.-H. Shuai, and L.-C. Wang, “Preventing Eavesdrop in Heterogeneous IoT Environments via Network Coding,” IEEE Consumer Communications & Networking Conference (CCNC), 2018. (Poster) [12] C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, W.-C. Lee and M.-S. Chen, “On Finding Socially Tenuous Groups for Online Social Networks,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Research Track Oral Paper (accepting rate = 8.6%) [11] C.-Y. Shen, H.-H. Shuai, K.-F. Hsu, and M.-S. Chen, “Task-Optimized Group Search for Social Internet of Things,” International Conference on Extending Database Technology (EDBT), 2017. Research Track Full Paper (accepting rate = 21.8%) [10] H.-J. Hung, H.-H. Shuai, W.-C. Lee, D.-N. Yang, J. Pei, L.-H. Huang, and M.-S. Chen, “When Social Influence Meets Item Inference,” ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. Research Track Oral Paper (accepting rate = 8.9%) [9] H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “Mining Social Network Data for Detecting Social Network Mental Disorders,” International World Wide Web Conference (WWW), 2016. Research Track Full Paper (accepting rate = 16%) [8] H.-H. Shuai, C.-Y. Shen, H.-C. Hsu, D.-N. Yang, C.-K. Chou, J.-H. Lin, and M.-S. Chen, “Revenue Maximization for Telecommunications Company with Social Viral Marketing,” IEEE International Conference on Big Data (BigData), 2015. (regular) [7] C.-Y. Shen, H.-H. Shuai, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P. S. Yu, and M.-S. Chen, “Forming Online Support Groups for Cognitive Behavior-Related Addictions,” ACM International Conference on Information and Knowledge Management (CIKM), 2015. Research Track Full Paper (accepting rate = 20%) [6] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, "Auto-Sizing Group Optimization for Activity Organization," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2015. (accepting rate = 22%) [5] J. Zhang, X. Shi, X. Kong, H.-H. Shuai, P. S. Yu, "Discovering Organizational Correlations from Twitter," International Workshop on Domain Driven Data Mining in IEEE International Conference on Data Mining (ICDM-DDDM), 2014. [4] L. He, H.-H. Shuai, X. Kong, P. S. Yu, Z. Hao, and X. Yang, "Low-Density Cut based Tree Decomposition for Large-Scale SVM Problems," IEEE International Conference on Data Mining (IEEE ICDM), 2014. (accepting rate = 19%) [3] C.-T. Lu, H.-H. Shuai, P. S. Yu, "Identifying Your Customers in Social Networks," ACM International Conference on Information and Knowledge Management (CIKM), 2015. Research Track Full Paper (accepting rate = 21%) [2] H.-H. Shuai, D.-N. Yang, P. S. Yu, and M.-S. Chen, "Willingness Optimization for Social Group Activity," International Conference on Very Large Data Bases (VLDB), 2014. (Research Track Full Paper) [1] H.-H. Shuai, D.-N. Yang, P. S. Yu, C. -Y. Shen, and M.-S. Chen, "On Pattern Preserving Graph Generation," IEEE International Conference on Data Mining (IEEE ICDM), 2013. Research Track Full Paper (accepting rate = 11.6%)

    帥宏翰
    期刊論文Jiun-Hung Yu and H.-A. Loeliger, ''Partial inverses mod m(x) and reverse Berlekamp-Massey decoding,'' IEEE Trans. Information Theory, vol. 62, no. 12, pp. 6737-6756, Dec. 2016.余俊宏
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