WHAT I DO

MY INTEREST

Big Data Analytics

Randomized Algorithm, Sampling, Machine Learning, Streaming, GPGPU

Social Network Analysis

Group Query, Social Network Mental Disorder, Social Influence

Data Mining

Frequent Pattern Mining, Data Generation, E-Learning, Healthcare

Multimedia Processing

Super-Resolution, Video Processing, Social Signal Processing

WHAT I DID

MY EXPERIENCE

  • 2016
  • 2015
  • 2013
  • 2009
  • 2007
  • Research Center for Information Technology Innovation, Academia Sinica

    Postdoctoral fellow (August 2015 to July 2016)

  • Graduate Institute of Communication Engineering, National Taiwan University

    Received my PhD degree (2010-2015)
    Dissertation: Sampling, Generation, and Application of Social Networks

  • Department of Computer Science, University of Illinois at Chicago

    Visiting scholar (September 2013 to August 2014)

  • Graduate Institute of Electrical Engineering, National Taiwan University

    Received my MS degree (2007-2009)
    Thesis: A Novel System Structure for Video Upsampling on Mobile Devices pdf

  • Department of Electrical Engineering, National Taiwan University

    Received my BS degree (2003-2007)

MY PORTFOLIO


PROFESSIONAL ACTIVITIES

PC Member


International Joint Conferences on Artificial Intelligence (IJCAI)-2016
ACM Multimedia Conference (ACM-MM)-2016
Pacific Asia Knowledge Discovery and Data Mining (PAKDD)-2018
IEEE Global Communications Conference (Globecom)-2018, 2019, 2020
AAAI Conference on Artificial Intelligence (AAAI)-2019, 2020, 2021
IEEE International Conference on Visual Communications and Image Processing (VCIP)-2019
International Conference on Multimedia Modeling (MMM)-2020, 2021
International World Wide Web Conference (WWW)-2020, 2021
European Conference on Computer Vision (ECCV)-2020
IEEE International Workshop on  Multimedia Signal Processing (MMSP)-2020
Conference on Technologies and Applications of Artificial Intelligence (TAAI)-2016, 2017
NST-ITCOM-2017, 2019


Area Chair


IEEE International Conference on Visual Communications and Image Processing (VCIP)-2018
IEEE International Workshop on  Multimedia Signal Processing (MMSP)-2019
IEEE International Conference on Multimedia and Expo (ICME)-2020


TPC Co-Chairs


IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020


Publication Chair


Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017)


Referee for Journals


Reviewer, IEEE Transactions on Knowledge and Data Engineering-2014, 2016, 2019, 2020
Reviewer, IEEE Transactions on Services Computing-2016, 2017, 2018, 2019, 2020
Reviewer, IEEE Transactions on Multimedia-2016, 2017
Reviewer, IEEE Transactions on Image Processing-2020
Reviewer, IEEE/ACM Transactions on Networking-2016
Reviewer, IEEE Transactions on Vehicular Technology-2020
Reviewer, World Wide Web Journal-2019
Reviewer, Data and Knowledge Engineering-2015
Reviewer, Knowledge and Information Systems-2015, 2016, 2017, 2018, 2019
Reviewer, ACM Computing Surveys (ACM CSUR)-2017
Reviewer, Journal of Visual Communication and Image Representation (JVCI)-2017, 2018


Publications


Conference Papers
[42] H.-X. Xie, L. Lo, H.-H. Shuai, and W.-H. Cheng, “AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
[41] W.-C. Lai, Z.-X. Xia, H.-S. Lin, L.-F. Hsu, H.-H. Shuai, I-H. Jhuo, and W.-H. Cheng, “Trajectory Prediction in Heterogeneous Environment via Attended Ecology Embedding,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
[40] C. H. Sio, Y.-J. Ma, H.-H. Shuai, J.-C. Chen, and W.-H. Cheng, “S^2SiamFC: Self-supervised Fully Convolutional Siamese Network for Visual Tracking,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
[39] D.-K. Nguyen, W.-L. Tseng, and H.-H. Shuai, “Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment,” ACM International Conference on Multimedia (MM), 2020.  (Research Track Paper, accepting rate = 27.8% (472/1698))
[38] H.-C. Lai, J.-Y. Tsai, H.-H. Shuai, D.-N. Yang, J.-L. Huang, and W.-C. Lee, “Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization,” ACM International Conference on Information and Knowledge Management (CIKM), 2020. (Research Track Full Paper, accepting rate = 21% (193/920))
[37] Y.-Z. Song, Z. R. Tam, H.-J. Chen, H.-H. Lu, and H.-H. Shuai, "Character-Preserving Coherent Story Visualization," European Conference on Computer Vision (ECCV), 2020. (Research Track Paper, accepting rate = 27% (1361/5025))
[36] S.-H. Ko, H.-C. Lai, H.-H. Shuai, W.-C. Lee, P. S. Yu, and D.-N. Yang, "Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping," International Conference on Very Large Data Bases (VLDB), 2020. (Research Track Full Paper)
[35] H.-W. Chen, H.-H. Shuai, S.-D. Wang, and D.-N. Yang, "Quality-Aware Streaming Network Embedding with Memory Refreshing," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2020. (Research Track Full Paper, accepting rate = 21%)
[34] Y.-J. Hsu, Y.-T. Chang, C.-Y. Shen, H.-H. Shuai, and W.-L. Tseng, "On Minimizing Diagonal Block-wise Differences for Neural Network Compression," European Conference on Artificial Intelligence (ECAI), 2020. (Research Track Paper, accepting rate = 26.8% (365/1363))
[33] L. Lo, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, "MER-GCN: Micro-Expression Recognition Based on Relation Modeling with Graph Convolutional Networks," IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2020.
[32] D.-Y. Hsieh, H.-H. Lu, R.-F. Jheng, H.-C. Chen, H.-H. Shuai, and W.-H. Cheng, "Learning to Navigate from Synthetic Data for Friction-Adaptive Autonomous Driving," Artificial Intelligence of Things (AIoT) Workshop in the AAAI Conference on Artificial Intelligence (AAAI), 2020.
[31] C.-Y. Lin, T.-T. Chen, L.-C. Wang, and H.-H. Shuai, "Health-based Fault Generative Adversarial Network for Fault Diagnosis in Machine Tools," Artificial Intelligence of Things (AIoT) Workshop in the AAAI Conference on Artificial Intelligence (AAAI), 2020.
[30] Y.-Z. Song, H.-H. Shuai, S.-L. Yeh, Y.-L. Wu, L.-W. Ku, and W.-C. Peng, "Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation," AAAI Conference on Artificial Intelligence (AAAI), 2020. (Research Track Paper, accepting rate = 20.6% (1591/7737))
[29] Y.-H. Chen, P.-Y. Chen, H.-H. Shuai, and W.-C. Peng, "TemPEST: Soft Template-based Personalized EDM Subject Generation Through Collaborative Summarization," AAAI Conference on Artificial Intelligence (AAAI), 2020. (Research Track Paper, accepting rate = 20.6% (1591/7737))
[28] C. H. Sio, H.-H. Shuai, and W.-H. Cheng, "Multiple Fisheye Camera Tracking via Real-Time Feature Clustering," ACM International Conference on Multimedia in Asia (MMAsia), 2019. (Research Track Paper, accepting rate = 27.5%)
[27] C.-R. Chang, K.-Y. Lung, Y.-C. Chen, Z.-K. Huang, H.-H. Shuai, and W.-H. Cheng, "Stop Hiding Behind Windshield: A Windshield Image Enhancer Based on a Two-way Generative Adversarial Network," ACM International Conference on Multimedia in Asia (MMAsia), 2019. (Research Track Paper, accepting rate = 27.5%)
[26] H.-C. Lai, H.-H. Shuai, D.-N. Yang, J.-L. Huang, W.-C. Lee, and P. S. Yu, "Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization,” ACM International Conference on Information and Knowledge Management (CIKM), 2019. (Research Track Full Paper, accepting rate ~ 19.4%)
[25] Y.-W. Teng, Y. Shi, J.-Y. Tsai, H.-H. Shuai, C.-H. Tai, and D.-N. Yang, "Optimizing Social-Topic Engagement on Social Network and Knowledge Graph,” IEEE Global Communication Conference (GLOBECOM), 2019. (Research Track Full Paper)
[24] C.-W. Hsieh, C.-Y. Chen, C.-L. Chou, H.-H. Shuai, J. Liu, and W.-H. Cheng, "FashionOn: Detail-preserving Image-based Virtual Try-on via Semantic-guided Optimization," ACM International Conference on Multimedia (MM), 2019. (Research Track Paper, accepting rate = 26.5%)
[23] L. Lo, C.-L. Liu, R.-A. Lin, B. Wu, H.-H. Shuai, and W.-H. Cheng, “Dressing for Attention: Outfit Based Fashion Popularity Prediction,” IEEE International Conference on Image Processing (ICIP), 2019. (Research Track Paper)
[22] C.-W. Hsieh, C.-Y. Chen, C.-L. Chou, H.-H. Shuai, and W.-H. Cheng, “Fit-me: Image-Based Virtual Try-On with Arbitrary Poses,” IEEE International Conference on Image Processing (ICIP), 2019. (Research Track Paper)
[21] H.-J. Chen, K. M. Hui, S. Y. Wang, L.-W. Tsao, H.-H. Shuai, and W.-H. Cheng, “BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Research Track Paper, accepting rate = 25.2% (1299/5165))
[20] 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%)
[19] 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%)
[18] 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%)
[17] 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))
[16] 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)
[15] 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 Full Paper, accepting rate = 16%)
[14] 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)
[13] K.-H. Tsai, Y.-S. Wang, H.-Y. Kuo, J.-Y. Tsai, C.-C. Chang, H.-J. Hung, and H.-H. Shuai, “Multi-Source Learning for Sales Prediction,” Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2017. (Best Paper Award)
[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. (Research Track Full Paper, accepting rate = 22%)
[5] J. Zhang, X. Shi, X. Kong, H.-H. Shuai, and 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. (Research Track Short Paper, accepting rate = 19%)
[3] C.-T. Lu, H.-H. Shuai, and 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%)

Journal Articles
[10] H.-Y. Chiu, H.-H. Shuai, and P. C.-P. Chao, "Reconstructing QRS Complex from PPG by Transformed Attentional Neural Networks," to appear in IEEE Sensors Journal (accepted in May, 2020).
[9] C.-Y. Shen, H.-H. Shuai, D.-N. Yang, G.-S. Lee, L.-H. Huang, W.-C. Lee, and M.-S. Chen, "On Extracting Socially Tenuous Groups for Online Social Networks with k-Triangles," to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE) (accepted in March, 2020).
[8] Z.-X. Xia, W.-C. Lai, L.-W. Tsao, L.-F. Hsu, C.-C. Hu Yu, H.-H. Shuai, and W.-H. Cheng, "Human-Like Traffic Scene Understanding System: A Survey," to appear in IEEE Industrial Electronics Magazine (accepted in January, 2020).
[7] C.-H. Liao, H.-H. Shuai, and L.-C. Wang, “RNN-assisted Network Coding for Secure Heterogeneous Internet of Things with Unreliable Storage,” IEEE Internet of Things Journal, volume 6, issue 5, pages 7608-7622, October 2019.
[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,” IEEE Trans. on Knowledge and Data Engineering (TKDE), 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 (TBD), volume 4, issue 1, pages 90-104, March 2018.
[4] C.-C. Chen, H.-H. Shuai, and M.-S. Chen, “Distributed and Scalable Sequential Pattern Mining through Stream Processing,” Knowledge and Information Systems (KAIS), 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 (TKDE), 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 (TKDE), 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 (TMM), volume 13, number 5, pages 1077-1091, October 2011.

Domestic Conference Papers
[5] C.-Y. Lin, S.-H. Tsai, L.-C. Wang, H.-H. Shuai, C.-C. Wei and S.-N. Hsieh, "GAN-based Defect Data Augmentation for SMT Defect Classification," The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020.
[4] C.-W. Yang, S.-C. Chien, F.-C. Chang, H.-H. Shuai and W.-H. Cheng, "Learning from a Powerful Teacher for Lightweight Object Detector," The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020.
[3] Y.-M. Hu, T.-H. Hwang, H.-H. Shuai and W.-H. Cheng, "Artificial Intelligence for Smart Manufacturing Applications," The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020.
[2] Y.-C. Huang, H.-H. Chen, C.-Y. Chen, H.-H. Shuai and W.-H. Cheng, "Video Style Transfer with Trilateral Loss," The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 16-18 August, 2020, Hsinchu, Taiwan.
[1] C.-Y. Chen, C.-L. Chou, C.-W. Hsieh, H.-H. Shuai, and W.-H. Cheng, "FancyLead: Detail-preserving Image-based Virtual Try-on via Semantic-guided Optimization," IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2019. (Best Paper Award)


BASIC LAB



Visit the website of BASIC LAB :)