MY PORTFOLIO

PROFESSIONAL ACTIVITIES

Selected Publications

Journal Articles

Y.-Z. Song, Y.-S. Chen, L. Wang, and H.-H. Shuai, "General then Personal: Decoupling and Pre-training for Personalized Headline Generation," Transactions of the Association for Computational Linguistics (TACL), 2023.
S.-W. Yang, L.-H. Shen, H.-H. Shuai, and K.-T. Feng, "CMAF: Cross-Modal Augmentation via Fusion for Underwater Acoustic Image Recognition," ACM Transactions on Multimedia Computing Communications and Applications (TOMM), volume 20, issue 5, number 124, pages 1-25, 2024.
Y.-Z. Song, Y.-S. Chen, and H.-H. Shuai, "Decoupling-Cooperative Framework for Referring Expression Comprehension," IEEE Signal Processing Letters (SPL), volume 30, pages 1542-1546, 2023.
W.-Y. Lin, Y.-Z. Song, B.-K. Ruan, H.-H. Shuai, C.-Y. Shen, L.-C. Wang, and Y.-H. Li, "Temporal Difference-Aware Graph Convolutional Reinforcement Learning for Multi-Intersection Traffic Signal Control," IEEE Transactions on Intelligent Transportation Systems (T-ITS), volume 25, number 1, pages 327-337, 2024.
P.-J. Huang, H. Xie, H.-C. Huang, H.-H. Shuai, and W.-H. Cheng, "CA-FER: Mitigating Spurious Correlation With Counterfactual Attention in Facial Expression Recognition," to appear in IEEE Transactions on Affective Computing (TAFFC) (accepted in August 2023).
Y.-C. Chen, Z.-K. Huang, L. Pang, J.-Y. Jiang-Lin, C.-H. Kuo, H.-H. Shuai, and W.-H. Cheng, "Seeing the unseen: Wifi-based 2D human pose estimation via an evolving attentive spatial-Frequency network," Pattern Recognition Letters (PRL), volume 171, pages 21-27, 2023.
J. Wang, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, "Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding," ACM Transactions on Multimedia Computing Communications and Applications (TOMM), volume 20, issue 1, number 7, pages 1-23, 2024.
L. Lo, B.-K. Ruan, H.-H. Shuai, and W.-H. Cheng, "Modeling Uncertainty for Low-Resolution Facial Expression Recognition," IEEE Transactions on Affective Computing (TAFFC), volume 15, number 1, pages 198-209, 2024.
Y.-S. Chen, Y.-Z. Song, and H.-H. Shuai, "SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization," IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), volume 31, pages 603-618, 2022. [Paper, Codes]
L. Lo, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, "Facial Chirality: From Visual Self-reflection to Robust Facial Feature Learning," IEEE Transactions on Multimedia (TMM), volume 24, pages 4275-4284, 2022. [Paper]
A. PJ Stampfl, Z. Liu, J. Hu, K. Sawada, H. Takano, Y. Kohmura, T. Ishikawa, J.-H. Lim, J.-H. Je, C.-M. Low, A. Teo, E. S. Tok, T. W. Tan, K. Ban, C. Libedinsky, F. C. K. Tan, K.-P. Chen, A.-C. Yang, C.-C. Chuang, N.-Y. Chen, C.-T. Shih, T.-K. Lee, D.-N. Yang, H.-C. Lai, H.-H. Shuai, C.-C. Cheng, Y.-T. Ching, C.-W. Li, C.-C. Charng, C.-C. Lo, A.-S. Chiang, B. Recur, C. Petibois, C.-L. Cheng, H.-H. Chen, S.-M. Yang, Y. Hwu, C. Rojviriya, S. Rugmai, S. Rujirawat, and G. Margaritondo, "SYNAPSE: An international roadmap to large brain imaging," Physics Reports, volume 999, pages 1-60, 2023.
J. Wang, J. Ke, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, "Referring Expression Comprehension Via Enhanced Cross-modal Graph Attention Networks," ACM Transactions on Multimedia Computing Communications and Applications (TOMM), volume 19, issue 2, number 65, pages 1-21, 2023.
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,” IEEE Sensors Journal, volume 22, number 6, pages 5844-5856, 2022.
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," ACM Transactions on Multimedia Computing Communications and Applications (TOMM), volume 18, issue 3, number 84, pages 1-23, 2022. [Paper, Dataset]
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 (TOMM), volume 18, issue 1s, pages 1-20, 2022.
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," IEEE Transactions on Neural Networks and Learning Systems, volume 33, number 9, pages 4584-4597, 2022.
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," IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 34, number 11, pages 5429-5445, 2022.
 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, 2021.
Y.-J. Ma, H.-H. Shuai, and W.-H. Cheng, "Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation," IEEE Transactions on Multimedia (TMM), volume 24, pages 261-273, 2022.  [Paper, Codes]
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, 2020. [Paper, Codes]
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," IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 34, number 7, pages 3431-3446, 2022.
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, 2019.
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 Transactions on Knowledge and Data Engineering (TKDE), volume 30, issue 7, pages 1212-1225, 2018.
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 Transactions on Big Data (TBD), volume 4, issue 1, pages 90-104, 2018.
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, 2017.
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 Transactions on Knowledge and Data Engineering (TKDE), volume 28, number 1, pages 2-16, 2016.
Y.-C. Lin, D.-N. Yang, H.-H. Shuai, and M.-S. Chen, “Data Acquisition for Probabilistic Nearest-Neighbor Query,” IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 27, number 2, pages 410-427, 2015.
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 Transactions on Multimedia (TMM), volume 13, number 5, pages 1077-1091, 2011.




Conference Papers

T.-H. Phung, H.-J. Chen, and H.-H. Shuai, “Hierarchically Aggregated Identification Transformer Network for Camouflaged Object Detection,” IEEE/CVF International Conference on Multimedia & Expo (ICME), 2024.
L. Xue, K.-Y. Huang, R. Chao, J.-C. Wu, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, “Learning Efficient Interaction Anchor for HOI Detection,” IEEE/CVF International Conference on Multimedia & Expo (ICME), 2024.
L. Lo, C. Y. Yeo, H.-H. Shuai, and W.-H. Cheng, “Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
H. Xie, C.-J. Peng, Y.-W. Tseng, H.-J. Chen, C.-F. Hsu, H.-H. Shuai, and W.-H. Cheng, “EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Y.-H. Chen, Z. R. Tam, and H.-H. Shuai, “Personalized EDM Subject Generation via Co-Factored User-Subject Embedding," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2024. (Research Track Oral Paper)
C.-L. Wan, F.-K. Huang, and H.-H. Shuai, "Density-Based Flow Mask Integration via Deformable Convolution for Video People Flux Estimation," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
C. Huang, Y.-L. Wu, H.-H. Shuai, and C.-C. Huang, "Semantic Fusion Augmentation and Semantic Boundary Detection: A Novel Approach to Multi-Target Video Moment Retrieval," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
T.-F. Hsiao, B.-L. Huang, Z.-X. Ni, Y.-T. Lin, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, "Natural Light Can Also be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
Y.-T. Tsai, Y.-W. Chen, C.-C. Huang and H.-H. Shuai, "Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
Y.-T. Chang, Y.-Z. Song, Y.-S. Chen, and H.-H. Shuai, "Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media," Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
L.-Y. Tseng, T.-L. Lin, H.-H. Shuai, J.-W. Huang, and W.-W. Chang, "What Makes a Song Catchy? Measuring and Predicting the Intrinsic Memorability of Music," International Society of Music Information Retrieval Conference (ISMIR), 2023.
Y.-S. Chen, Y.-Z. Song, C. Y. Yeo, B. Liu, J. Fu, and H.-H. Shuai, “SINC: Self-Supervised In-Context Learning for Vision-Language Tasks," International Conference on Computer Vision (ICCV), 2023. (Research Track Paper, accepting rate = 26.15% (2160/8088))
C.-Y. Chen, Y.-C. Chen, H.-H. Shuai, and W.-H. Cheng, “Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network," International Conference on Computer Vision (ICCV), 2023. (Research Track Paper, accepting rate = 26.15% (2160/8088))
H. Xie, M.-X. Lee, T. J. Chen, H.-J. Chen, H.-I Liu, H.-H. Shuai, and W.-H. Cheng, “Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition," International Conference on Computer Vision (ICCV), 2023. (Research Track Paper, accepting rate = 26.15% (2160/8088))
H.-Y. Chiang, Y.-S. Chen, Y.-Z. Song, H.-H. Shuai, and J. S. Chang, “Shilling Black-box Review-based Recommender Systems through Fake Review Generation," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (Research Track Paper, accepting rate = 22.1%)
S.-E. Weng, H.-H. Shuai, and W.-H. Cheng, “Zero-shot Face-based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-world Scenario," AAAI Conference on Artificial Intelligence (AAAI), 2023. (Research Track Paper, accepting rate = 19.6% (1721/8777))
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]
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]
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%))
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]
J. Wang, J. Ke, H.-H. Shuai, Y.-H. Li, and W.-H. Cheng, “Residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding,” IEEE International Conference on Image Processing (ICIP), 2022. (Research Track Paper)
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]
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]
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.
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]
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]
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]
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]
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]
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]
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]
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.
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)
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.
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)
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]
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%)
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%)
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.
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]
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]
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]
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]
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]
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))
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]
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)
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%)
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))
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.
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]
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.
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]
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]
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%)
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%)
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%)
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)
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]
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)
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)
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/CVF Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Research Track Paper, accepting rate = 25.2% (1299/5165)) [Demo]
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%)
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%)
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%)
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))
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)
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%)
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)
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%)
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%)
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%)
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%)
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)
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%)
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%)
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.
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%)
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%)
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)
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%)



Domestic Conference Papers
[8] 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)
[7] 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.
[6] 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.
[5] 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.
[4] 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.
[3] 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.
[2] 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)
[1] 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)