WHAT I DO

MY INTEREST

Big Data Analytics

Machine Learning, Streaming Computing, GPGPU

Social Network Analysis

Social Network Mental Disorder, Group Query, Social Influence

Data Mining

Frequent Pattern Mining, Data Generation, Healthcare

Multimedia Processing

Generative Models, Super-Resolution, Crowd Counting, Social Signal Processing

WHAT I DID

MY EXPERIENCE

  • Department of Electrical and Computer Engineering, National Chiao Tung University

    Assistant Professor (August 2016 to July 2020)

  • 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

Publications


Conference Papers
~~2022~~
[67] L.-W. Tsao, Y.-K. Wang, H.-S. Lin, H.-H. Shuai, L.-K. Wong, and W.-H. Cheng, “Social-SSL: Self-Supervised Cross-Sequence Representation Learning based on Transformers for Multi-Agent Trajectory Prediction,” European Conference on Computer Vision (ECCV), 2022. (Research Track Oral Paper (2.7% of submitted papers)) [Paper, Codes] [66] B.-K. Ruan, L. Lo, H.-H. Shuai, and W.-H. Cheng, “Mimicking the Annotation Process for Recognizing the Micro Expressions,” ACM International Conference on Multimedia (MM), 2022. (Research Track Paper, accepting rate = 690/2473 (27.9%)) [Paper, Codes] [65] C.-W. Kuo, Y.-T. Tsai, H.-H. Shuai, Y.-R. Yeh, C.-C. Huang, “Towards Understanding Cross Resolution Feature Matching for Surveillance Face Recognition,” ACM International Conference on Multimedia (MM), 2022. (Research Track Paper, accepting rate = 690/2473 (27.9%)) [64] Y.-Z. Song, Y.-S. Chen, and H.-H. Shuai, “Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness,” Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. [Paper, Codes] [63] J. Wang, J. Ke, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, “Referring Expression Comprehension via Enhanced Cross-modal Graph Attention Networks,” IEEE International Conference on Image Processing (ICIP), 2022. (Research Track Paper) [61] M.-C. Chou, H.-J. Chen, and H.-H. Shuai, “Finding the Achilles Heel: Progressive Identification Network for Camouflaged Object Detection,” IEEE International Conference on Multimedia & Expo (ICME), 2022. (accepting rate = 29%) [Paper, Codes] [60] Z. R. Tam, Y.-L. Wu, and H.-H. Shuai, “Improving Entity Disambiguation using Knowledge Graph Regularization," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2022. (Research Track Full Paper, accepting rate = 121/627 (19.3%)) [Paper, Codes] [59] L. Chen, S.-E. Weng, C.-J. Peng, Y.-C. Li, H.-H. Shuai, and W.-H. Cheng, "The Hierarchical Ensemble Model for Network Intrusion Detection in the Real-World Dataset," IEEE International Symposium on Circuits and Systems (ISCAS), 2022. [58] W.-Y. Wang, H.-H. Shuai, K.-S. Chang, and W.-C. Peng, “ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton," AAAI Conference on Artificial Intelligence (AAAI), 2022. (Research Track Paper, accepting rate = 15.0% (1349/9020)) [Paper, Codes]
~~2021~~
[57] Y.-L. Wu, H.-H. Shuai, Z. R. Tam, and H.-Y. Chiu, "Gradient Normalization for Generative Adversarial Networks," International Conference on Computer Vision (ICCV), 2021. (Research Track Poster Paper, accepting rate = 1617/6236 (25.9%)) [Paper, Codes] [56] C.-Y. Yeh, H.-W. Chen, H.-H. Shuai, D.-N. Yang, and M.-S. Chen, "Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack," International Conference on Computer Vision (ICCV), 2021. (Research Track Poster Paper, accepting rate = 1617/6236 (25.9%)) [Paper] [55] C.-Y. Chen, L. Lo, P.-J. Huang, H.-H. Shuai, and W.-H. Cheng, "FashionMirror: Co-attention Feature-remapping Virtual Try-on with Sequential Template Poses," International Conference on Computer Vision (ICCV), 2021. (Research Track Oral Paper, top-3%) [Demo] [54] H.-H. Lu, S.-E. Weng, Y.-F. Yen, H.-H. Shuai, and W.-H. Cheng, "Face-based Voice Conversion: Learning the Voice behind a Face," ACM International Conference on Multimedia (MM), 2021. (Research Track Paper, accepting rate = 27.9% (542/1972)) [Demo] [53] H.-C. Chang, H.-J. Chen, Y.-C. Shen, H.-H. Shuai, and W.-H. Cheng, “Re-Attention Is All You Need: Memory-Efficient Scene Text Detection via Re-Attention on Uncertain Regions," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. [Paper] [52] Y.-Z. Song, Y.-S. Chen, Y.-T. Chang, S.-Y. Weng, and H.-H. Shuai, “Adversary-Aware Rumor Detection," to appear in The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021. (ACL Findings) [Paper, Codes] [51] T.-Y. Chen, C.-C. Hsiao, W.-H. Cheng, H.-H. Shuai, P. Chen, and C.-C. Huang, "DensER: Density-imbalance-eased Regional Representation for Lidar-based Whole Scene Point Cloud Upsampling," IEEE Visual Communications and Image Processing Conference (VCIP), 2021. [50] Y.-L. Chan and H.-H. Shuai, "Explainable Health State Prediction for Social IoTs through Multi-Channel Attention,” IEEE Global Communication Conference (GLOBECOM), 2021. (Research Track Full Paper) [49] Y.-C. Lu, C.-W. Chen, C.-C. Pu, Y.-T. Lin, J.-K. Jhan, S.-P. Liang, W.-L. Tseng, C.-S. Chen, C.-Y. Yu, H.-W. Wang, H.-H. Shuai, and H. Chiueh, "An 176.3 GOPs Object Detection CNN Accelerator Emulated in a 28nm CMOS Technology," IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021. [48] Y.-W. Yang, C. Hsu, H.-C. Tung, H.-H. Shuai, and Y.-J. Chang, "Tell Me When Users Leave: Predicting Users’ Abandonment of A Task-Oriented Chatbot Service using Explainable Deep Learning," International Conference on Conversational User Interfaces (CUI), 2021. (Extended Abstract) [47] P.-Y. Chen, Y.-H. Chen, H.-H. Shuai, and Y.-J. Chang, “Self-Attentive Recommendation System for Multi-Source Review Package,” International Joint Conference on Neural Networks (IJCNN), 2021. (Oral) [Paper, Dataset] [46] L. Lo, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, “Facial Chirality: Using Self-face Reflection to Learn Discriminative Features for Facial Expression Recognition,” IEEE International Conference on Multimedia & Expo (ICME), 2021. (Oral, accepting rate = 30%) [45] C.-H. Wang, K.-Y. Huang, J.-C. Chen, H.-H. Shuai, and W.-H. Cheng, “Heterogeneous Federated Learning through Multi-branch Network,” IEEE International Conference on Multimedia & Expo (ICME), 2021. (Poster, accepting rate = 30%) [44] H.-W. Chen, H.-H. Shuai, D.-N. Yang, W.-C. Lee, C. Shi, P. S. Yu and M.-S. Chen, “Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer," IEEE International Conference on Data Engineering (ICDE), 2021. [43] Y.-S. Chen and H.-H. Shuai, “Meta-Transfer Learning for Low-Resource Abstractive Summarization," AAAI Conference on Artificial Intelligence (AAAI), 2021. (Research Track Paper, accepting rate = 21.4% (1692/7911)) [Paper, Codes]
~~2020~~
[42] 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)) [Paper, Codes] [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)) [Paper, Demo] [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)) [Paper, Demo] [39] 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)) [Paper, Demo] [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)) [Paper, Codes] [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. [Paper, Simulator] [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)) [Codes] [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)) [Demo]
~~2019~~
[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%) [Demo] [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)) [Demo]
~~2018~~
[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)
~~2017~~
[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%)
~~2016~~
[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%)
~~Before 2015~~
[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 [22] L. Lo, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, "Facial Chirality: From Visual Self-reflection to Robust Facial Feature Learning," to appear in IEEE Trans. on Multimedia (TMM) (accepted in July 2022). [Paper] [21] T.-H. Lin, Y.-Y. Liu, H.-H. Shuai, F.-H. Hsu, and Y.-J. Chang, "A Source You Prefer, or Majority? Investigating User Responses to Conflicting Opinions in Multi-platform Restaurant-review Lists," to appear in International Journal of Human–Computer Interaction (IJHCI) (accepted in June 2022). [20] J. Wang, H.-Y. Wu, J.-C. Chen, H.-H. Shuai, and W.-H. Cheng, "Residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding," to appear in ACM Transactions on Multimedia Computing Communications and Applications (accepted in June 2022). [19] D. H. Nguyen, P. C.-P. Chao, H.-H. Shuai, Y.-W. Fang, and B. S. Lin, "Achieving High Accuracy in Predicting Blood Flow Volume at the Arteriovenous Fistulas of Hemodialysis Patients by Intelligent Quality Assessment on PPGs,” to appear in IEEE Sensors Journal (accepted in January 2022). [18] H.-X. Xie, L. Lo, H.-H. Shuai, and W.-H. Cheng, "An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge," to appear in IEEE Transactions on Affective Computing (TAFFC) (accepted in January, 2022). [17] C.-H. Wang, K.-Y. Huang, J.-C. Chen, H.-H. Shuai, and W.-H. Cheng, "Lightweight Deep Learning: An Overview," to appear in IEEE Consumer Electronics Magazine (accepted in January, 2022). [16] K.-W. Yang, Y.-Y. Huang, J.-W. Huang, Y.-R. Hsu, C.-L. Wan, H.-H. Shuai, L.-C. Wang, and W.-H. Cheng, "Improving Crowd Density Estimation by Fusing Aerial Images and Radio Signals," to appear in ACM Transactions on Multimedia Computing Communications and Applications (accepted in October 2021). [Paper, Dataset] [15] C.-W. Yang, T. H. Phung, H.-H. Shuai, and W.-H. Cheng, "Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning," ACM Transactions on Multimedia Computing Communications and Applications, volume 18, issue 1s, pages 1-20, February 2022. [14] C.-L. Chou, C.-Y. Chen, C.-W. Hsieh, H.-H. Shuai, J. Liu, and W.-H. Cheng, "Template-Free Try-on Image Synthesis via Semantic-guided Optimization," to appear in IEEE Transactions on Neural Networks and Learning Systems (accepted in January, 2021). [13] C.-H. Yang, H.-H. Shuai, C.-Y. Shen, and M.-S. Chen, "Learning to Solve Task-Optimized Group Search for Social Internet of Things," to appear in IEEE Trans. on Knowledge and Data Engineering (TKDE) (accepted in January 2021). [12] K.-Y. Lung, C.-R. Chang, S.-E. Weng, H.-S. Lin, H.-H. Shuai, and W.-H. Cheng, "ROSNet: Robust One-Stage Network for CT Lesion Detection," Pattern Recognition Letters, volume 144, pages 82-88, April 2021. [11] Y.-J. Ma, H.-H. Shuai, and W.-H. Cheng, "Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation," IEEE Trans. on Multimedia (TMM), volume 24, pages 261-273, January 2022. [Paper, Codes] [10] H.-Y. Chiu, H.-H. Shuai, and P. C.-P. Chao, "Reconstructing QRS Complex from PPG by Transformed Attentional Neural Networks," IEEE Sensors Journal, volume 20, number 20, pages 12374-12383, October 2020. [Paper, Codes] [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 Trans. 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," IEEE Industrial Electronics Magazine, volume 15, issue 1, March 2021. [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 [7] T.-Y. Chen, W.-H. Cheng, H.-H. Shuai and C.-C. Huang, "Robust Regional Representation for LiDAR-based Whole Scene Upsampling," The 34nd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2021. (Best Paper Award) [6] Z.-Y. Chen, C.-W. Yang, S.-C. Chien, F.-C. Chang, H.-H. Shuai, and W.-H. Cheng, "COMPUTATION-EFFICIENT KNOWLEDGE DISTILLATION FOR OBJECT DETECTION VIA SHIFT OPERATION," The 34nd IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2021. [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)


Services for Conferences

PC Member

AAAI Conference on Artificial Intelligence (AAAI)-2019~2022
International World Wide Web Conference (WWW)-2020, 2021, 2022
IEEE Global Communications Conference (Globecom)-2018-2022
International Conference on Multimedia Modeling (MMM)-2020, 2021, 2022
Annual Conference on Neural Information Processing Systems (NeurIPS)-2022
International Joint Conferences on Artificial Intelligence (IJCAI)-2016, 2022
European Conference on Computer Vision (ECCV)-2020
ACM Multimedia Conference (ACM-MM)-2016
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)-2022
International Conference on Computer Vision (ICCV)-2021
International Conference on Database Systems for Advanced Applications (DASFAA)-2021
IEEE International Conference on Visual Communications and Image Processing (VCIP)-2019
IEEE International Workshop on  Multimedia Signal Processing (MMSP)-2020
International Conference on Multimedia Retrieval (ICMR)-2021
Pacific Asia Knowledge Discovery and Data Mining (PAKDD)-2018
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)-2020~2022


Demo Track Chairs

IEEE International Conference on Multimedia and Expo (ICME)-2022


TPC Co-Chairs

IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2020
IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), 2022


Registration Chair

International Conference on Database Systems for Advanced Applications (DASFAA), 2021


Student Grant Chairs

ACM International Conference on Multimedia Retrieval (ICMR), 2021


Publication Chair

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


Associate Editor

IEICE Transactions on Information and Systems


Referee for Journals


Reviewer, IEEE Transactions on Knowledge and Data Engineering-2014, 2016, 2019, 2020-2022
Reviewer, IEEE Transactions on Services Computing-2016, 2017, 2018, 2019, 2020
Reviewer, IEEE Transactions on Multimedia-2016, 2017, 2020-2022
Reviewer, IEEE Transactions on Image Processing-2020, 2021
Reviewer, IEEE/ACM Transactions on Networking-2016
Reviewer, IEEE Transactions on Vehicular Technology-2020
Reviewer, IEEE Computational Intelligence Magazine-2022
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
Reviewer, Frontiers in Signal Processing-2020


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