WHAT I DO

MY INTEREST

Generative Models

Generative Adversarial Networks, Denoising Diffusion Models, Text-guided Image Generation/Editing

Large Language Models

Model Compression, Text Summarization, Model Robustness

Data Mining

Frequent Pattern Mining, Recommendation Systems, Healthcare

Multimedia Processing

Crowd Counting, Super-Resolution, 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), Associate Professor (August 2020 to July 2024)

  • 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

Selected Publications

Journal Articles
  1. Wei-Lun Tseng, Yi-Lun Wu, Ming-Chun Lee, and Hong-Han Shuai, "RSMAE: Radiometric Resolution and Scale-Aware Masked Autoencoder for SAR Ship Recognition," IEEE Geoscience and Remote Sensing Letters (GRSL), accepted in May 2025.
  2. Fa-You Chen, Yun-Jui Hsu, Chia-Hsun Lu, Hong-Han Shuai, Lo-Yao Yeh, and Chih-Ya Shen, "Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation," ACM Transactions on Knowledge Discovery from Data (TKDD), accepted in March 2025.
  3. Ching-Hao Wang, Kang-Yang Huang, Yi Yao, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, "Lightweight Deep Learning: An Overview," IEEE Consumer Electronics Magazine, volume 13, number 4, pages 51-64, July 2024.
  4. Hung-Jen Chen, Chu-Jun Peng, Hong-Han Shuai, and Wen-Huang Cheng, "A Hierarchically Discriminative Loss with Group Regularization for Fine-Grained Image Classification," to appear in ACM Transactions on Multimedia Computing Communications and Applications (TOMM), accepted in August, 2024.
  5. Yun-Zhu Song, Yi-Syuan Chen, Lu Wang, and Hong-Han Shuai, "General then Personal: Decoupling and Pre-training for Personalized Headline Generation," Transactions of the Association for Computational Linguistics (TACL), 2023. [Paper, Codes]
  6. Hou-I Liu, Yu-Wen Tseng, Kai-Cheng Chang, Pin-Jyun Wang, Hong-Han Shuai, and Wen-Huang Cheng, "A DeNoising FPN with Transformer R-CNN for Tiny Object Detection," in IEEE Transactions on Geoscience and Remote Sensing (TGRS), volume 62, pages 1-15, article number 4704415, 2024. [Paper, Codes]
  7. Shih-Wei Yang, Li-Hsiang Shen, Hong-Han Shuai, and Kai-Ten 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.
  8. Hou-I Liu, Marco Galindo, Hongxia Xie, Lai-Kuan Wong, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang Cheng, "Lightweight Deep Learning for Resource-Constrained Environments: A Survey," in ACM Computing Surveys (CSUR), volume 56, number 10, 2024.
  9. Yun-Zhu Song, Yi-Syuan Chen, and Hong-Han Shuai, "Decoupling-Cooperative Framework for Referring Expression Comprehension," IEEE Signal Processing Letters (SPL), volume 30, pages 1542-1546, 2023.
  10. Wei-Yu Lin, Yun-Zhu Song, Bo-Kai Ruan, Hong-Han Shuai, Chih-Ya Shen, Li-Chun Wang, and Yung-Hui 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. [Paper, Codes]
  11. Pin-Jui Huang, Hongxia Xie, Hung-Cheng Huang, Hong-Han Shuai, and Wen-Huang Cheng, "CA-FER: Mitigating Spurious Correlation With Counterfactual Attention in Facial Expression Recognition," IEEE Transactions on Affective Computing (TAFFC), volume 15, number 3, pages 977-989, July-Sept. 2024.
  12. Yi-Chung Chen, Zhi-Kai Huang, Lu Pang, Jian-Yu Jiang-Lin, Chia-Han Kuo, Hong-Han Shuai, Wen-Huang 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.
  13. Jia Wang, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang 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.
  14. Ling Lo, Bo-Kai Ruan, Hong-Han Shuai, and Wen-Huang Cheng, "Modeling Uncertainty for Low-Resolution Facial Expression Recognition," IEEE Transactions on Affective Computing (TAFFC), volume 15, number 1, pages 198-209, 2024.
  15. Yi-Syuan Chen, Yun-Zhu Song, and Hong-Han 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]
  16. Ling Lo, Hongxia Xie, Hong-Han Shuai, and Wen-Huang Cheng, "Facial Chirality: From Visual Self-reflection to Robust Facial Feature Learning," IEEE Transactions on Multimedia (TMM), volume 24, pages 4275-4284, 2022. [Paper]
  17. 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, Hong-Han 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.
  18. Jia Wang, Jingcheng Ke, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang 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.
  19. Duc Huy Nguyen, Paul C. -P. Chao, Hong-Han Shuai, Yu-Wei Fang, and Bing Shi 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.
  20. Kai-Wei Yang, Yen-Yun Huang, Jen-Wei Huang, Ya-Rou Hsu, Chang-Lin Wan, Hong-Han Shuai, Li-Chun Wang, and Wen-Huang 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]
  21. Chun-Wei Yang, Thanh-Hai Phung, Hong-Han Shuai, Wen-Huang 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.
  22. Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang 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.
  23. Chen-Hsu Yang, Hong-Han Shuai, Chih-Ya Shen, and Ming-Syan 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.
  24. Kuan-Yu Lung, Chi-Rung Chang, Shao-En Weng, Hao-Siang Lin, Hong-Han Shuai, and Wen-Huang Cheng, "ROSNet: Robust One-Stage Network for CT Lesion Detection," Pattern Recognition Letters, volume 144, pages 82-88, 2021.
  25. Yu-Jen Ma, Hong-Han Shuai, and Wen-Huang 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]
  26. Hong-Yu Chiu, Hong-Han Shuai, and Paul 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]
  27. Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang, Guang-Siang Lee, Liang-Hao Huang, Wang-Chien Lee, and Ming-Syan 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.
  28. Chen-Hung Liao, Hong-Han Shuai, and Li-Chun 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.
  29. Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, Yi-Feng Carol Lan, Wang-Chien Lee, Philip S. Yu, and Ming-Syan 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.
  30. Hong-Han Shuai, De-Nian Yang, Chih-Ya Shen, Philip S. Yu, and Ming-Syan Chen, “QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee,” IEEE Transactions on Big Data (TBD), volume 4, issue 1, pages 90-104, 2018.
  31. Chun-Chieh Chen, Hong-Han Shuai, and Ming-Syan Chen, “Distributed and Scalable Sequential Pattern Mining through Stream Processing,” Knowledge and Information Systems (KAIS), volume 53, issue 2, pages 365-390, 2017.
  32. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, and Ming-Syan 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.
  33. Yu-Chieh Lin, De-Nian Yang, Hong-Han Shuai, and Ming-Syan Chen, “Data Acquisition for Probabilistic Nearest-Neighbor Query,” IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 27, number 2, pages 410-427, 2015.
  34. Hong-Han Shuai, De-Nian Yang, Wen-Huang Cheng, and Ming-Syan 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
  1. Teng-Fang Hsiao, Bo-Kai Ruan, Yi-Lun Wu, Tzu-Ling Lin, and Hong-Han Shuai, “TF-TI2I: Training-Free Text-and-Image-to-Image Generation via Multi-Modal In-Context Learning In Text-to-Image Models," International Conference on Computer Vision (ICCV), 2025. (Research Track Paper, accepting rate = 24% (2698/11239))
  2. Bo-Lun Huang, Zi-Xiang Ni, Feng-Kai Huang, Hong-Han Shuai, and Wen-Huang Cheng, “When Anchors Meet Cold Diffusion: A Multi-Stage Approach to Lane Detection," International Conference on Computer Vision (ICCV), 2025. (Research Track Paper, accepting rate = 24% (2698/11239))
  3. Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu, Hongxia Xie, Hong-Han Shuai, and Wen-Huang Cheng, “Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation," International Conference on Computer Vision (ICCV), 2025. (Research Track Paper, accepting rate = 24% (2698/11239))
  4. Sung-Lin Tsai, Bo-Lun Huang, Yu Ting Shen, Cheng Yu Yeo, Chiang Tseng, Bo-Kai Ruan, Wen-Sheng Lien, and Hong-Han Shuai, "Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation," ACM International Conference on Multimedia (MM), 2025.
  5. Feng-Kai Huang, Bo-Lun Huang, Li-Wu Tsao, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, "Flowing Crowd to Count Flows: A Self-Supervised Framework for Video Individual Counting," ACM International Conference on Multimedia (MM), 2025.
  6. Ruoxuan Zhang, Bin Wen, Hongxia Xie, Yi Yao, Songhan Zuo, Jian-Yu Jiang-Lin, Hong-Han Shuai, and Wen-Huang Cheng, "CookAnything: A Framework for Flexible and Consistent Multi-Step Recipe Image Generation," ACM International Conference on Multimedia (MM), 2025.
  7. Chi-Yuan Jan and Hong-Han Shuai, “FPW: Frequency-Domain Pixel-by-Pixel Watermarking against Unauthorized Images Used on Training Generative Model,” IEEE International Conference on Image Processing (ICIP), 2025. (Research Track Paper)
  8. Chun-Yao Chiu, Feng-Kai Huang, Teng-Fang Hsiao, Hong-Han Shuai, and Wen-Huang Cheng, “IterDiff: Training-Free Iterative Face Editing via Efficient CLIP-guided Memory Bank,” IEEE International Conference on Image Processing (ICIP), 2025. (Research Track Paper) [Paper, Codes]
  9. Sheng-Ping Yang, Yu-Wen Tseng, Yung-Chieh Yang, I-Bin Liao, Chi-En Huang, Shen-Hsuan Liu, Yung-Hui Li, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, “Unraveling Vanishing Point and Calibrating Tiny Objects for Semantic Scene Completion,” IEEE International Conference on Image Processing (ICIP), 2025. (Research Track Paper)
  10. Jia Ying Yong, Hong-Han Shuai, Hongxia Xie, Yung-Hui Li, and Wen-Huang Cheng, “From Diffusion to Decision: A Diffusion-ReRanking in Scene Text Detection,” IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), 2025.
  11. Bo-Kai Ruan and Hong-Han Shuai, “MAD: Makeup All-in-One with Cross-Domain Diffusion Model,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) NTIRE Workshop, 2025.
  12. Pei-Chi Chen, Yi Yao, Chan-Feng Hsu, Hongxia Xie, Hung-Jen Chen, Hong-Han Shuai, and Wen-Huang Cheng, “Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation,” IEEE International Conference on Multimedia & Expo (ICME), 2025.
  13. Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-yun Wang, Gaowen Liu, Hugo Latapie, Jhih-Ciang Wu, Jenq-Neng Hwang, Hong-Han Shuai, and Wen-Huang Cheng, “MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  14. Teng-Fang Hsiao, Bo-Kai Ruan, and Hong-Han Shuai, “Training-and-prompt-free General Painterly Harmonization via Zero-shot Disentenglement on Style and Content References," AAAI Conference on Artificial Intelligence (AAAI), 2025. (Research Track Paper, accepting rate = 23.4% (3032/12957)) [Paper, Codes]
  15. Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, and Wen-Huang Cheng, “Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec," AAAI Conference on Artificial Intelligence (AAAI), 2025. (Research Track Paper, accepting rate = 23.4% (3032/12957))
  16. Yu-Wen Tseng, Sheng-Ping Yang, Jhih-Ciang Wu, I-Bin Liao, Yung-Hui Li, Hong-Han Shuai, and Wen-Huang Cheng, “Memory-augmented Re-completion for 3D Semantic Scene Completion," AAAI Conference on Artificial Intelligence (AAAI), 2025. (Research Track Paper, accepting rate = 23.4% (3032/12957))
  17. Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, and Hong-Han Shuai, “A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization,” Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (Accepting rate = 25.8% (4043/15671)) [Paper, Demo]
  18. Thanh-Hai Phung and Hong-Han Shuai, “Revealing Hidden Context in Camouflage Instance Segmentation,” Asian Conference on Computer Vision (ACCV), 2024. (Accepting rate = 32% (269/839))
  19. Yun-Zhu Song, Yi-Syuan Chen, Tzu-Ling Lin, Bei Liu, Jianlong Fu, and Hong-Han Shuai, “Capture Concept through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining,” Asian Conference on Computer Vision (ACCV), 2024. (Accepting rate = 32% (269/839))
  20. Li-Wu Tsao, Hao-Tang Tsui, Yu-Rou Tuan, Pei-Chi Chen, Kuan-Lin Wang, Jhih-Ciang Wu, Hong-Han Shuai, Wen-Huang Cheng, “TrajPrompt: Aligning Color Trajectory with Vision-Language Representations,” European Conference on Computer Vision (ECCV), 2024. (Accepting rate = 27.9% (2395/8585)) [Paper, Demo]
  21. Chan-Feng Hsu, Yi Yao, Jhe-Hao Lin, Hongxia Xie, Terence Lin, Yi-Ning Huang, Hong-Han Shuai, and Wen-Huang Cheng, “The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation,” European Conference on Computer Vision (ECCV), 2024. (Accepting rate = 27.9% (2395/8585))
  22. Yi-Xin Huang, Hou-I Liu, Hong-Han Shuai, Wen-Huang Cheng, “DQ-DETR: DETR with Dynamic Query for Tiny Object Detection,” European Conference on Computer Vision (ECCV), 2024. (Accepting rate = 27.9% (2395/8585)) [Paper, Codes]
  23. Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih, Hong-Han Shuai, Hsuan-Tung Liu, Yi-Ren Yeh, and Ching-Chun Huang, “DetailSemNet: Elevating Signature Verification with Captured Details and Semantics by Feature Disentanglement and Re-entanglement,” European Conference on Computer Vision (ECCV), 2024. (Accepting rate = 27.9% (2395/8585))
  24. Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Lo, Yi-Ning Huang, Terence Lin, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng, “ReCorD: Reasoning and Correcting Diffusion for HOI Generation,” ACM International Conference on Multimedia (MM), 2024. [Paper, Codes]
  25. Zhi Rui Tam, Ya Ting Pai, Yen-Wei Lee, Hong-Han Shuai, Jun-Da Chen, Wei Min Chu, and Sega Cheng, “TMMLU+: An Improved Traditional Chinese Evaluation Suite for Foundation Models,” Conference on Language Modeling (COLM), 2024.
  26. Wei-Chian Liang, Chieh-Yun Chen, and Hong-Han Shuai, “TOWARD LOW ARTIFACT VIRTUAL TRY-ON VIA PRE-WARPING PARTITIONED CLOTHING ALIGNMENT,” IEEE International Conference on Image Processing (ICIP), 2024. (Research Track Paper)
  27. Thanh-Hai Phung, Hung-Jen Chen, and Hong-Han Shuai, “Hierarchically Aggregated Identification Transformer Network for Camouflaged Object Detection,” IEEE International Conference on Multimedia & Expo (ICME), 2024. (Oral Paper) [Paper, Codes]
  28. Lirong Xue, Kang-Yang Huang, Rong Chao, Jhih-Ciang Wu, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang Cheng, “Learning Efficient Interaction Anchor for HOI Detection,” IEEE International Conference on Multimedia & Expo (ICME), 2024. (Oral Paper)
  29. Ling Lo, Cheng Yu Yeo, Hong-Han Shuai, and Wen-Huang Cheng, “Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight Paper, 324 of the 2719 accepted papers (11.9%))
  30. Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng, Hung-Jen Chen, Chan-Feng Hsu, Hong-Han Shuai, Wen-Huang Cheng “EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Accepting rate = 23.6% (2719/11532))
  31. Chiang Tseng, Chieh-Yun Chen, and Hong-Han Shuai, “Artifact Does Matter! Low-artifact High-resolution Virtual Try-On via Diffusion-based Warp-and-Fuse Consistent Texture,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) CVFAD Workshop, 2024. (Best Paper Runner-Up) [Paper, Codes]
  32. Kuan-Lin Wang, Jhih-Ciang Wu, Li-Wu Tsao, Hong-Han Shuai, and Wen-Huang Cheng, “TrajFine: Predicted Trajectory Refinement for Pedestrian Trajectory Forecasting,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) WAD Workshop, 2024.
  33. Yu-Hsiu Chen, Zhi Rui Tam, and Hong-Han Shuai, “Personalized EDM Subject Generation via Co-Factored User-Subject Embedding," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2024. (Research Track Oral Paper)
  34. Chang-Lin Wan, Feng-Kai Huang, and Hong-Han 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. [Paper, Video, Codes]
  35. Cheng Huang, Yi-Lun Wu, Hong Han Shuai, and Ching Chun 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. [Paper, Codes]
  36. Teng-Fang Hsiao, Bo-Lun Huang, Zi-Xiang Ni, Yan-Ting Lin, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang 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.
  37. Yi-Ting Tsai, Yu-Wei Chen, Hong-Han Shuai, and Ching-Chun Huang, "Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  38. Yi-Ting Chang, Yun-Zhu Song, Yi-Syuan Chen, and Hong-Han 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. [Paper, Codes]
  39. Li-Yang Tseng, Tzu-Ling Lin, Hong-Han Shuai, Jen-Wei Huang, and Wen-Whei Chang, "What Makes a Song Catchy? Measuring and Predicting the Intrinsic Memorability of Music," International Society of Music Information Retrieval Conference (ISMIR), 2023. [Paper, Codes & Data]
  40. Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo, Bei Liu, Jianlong Fu, and Hong-Han 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))
  41. Chieh-Yun Chen, Yi-Chung Chen, Hong-Han Shuai, and Wen-Huang 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)) [Paper, Codes]
  42. Hongxia Xie, Ming-Xian Lee, Tzu-Jui Chen, Hung-Jen Chen, Ho-I Liu, Hong-Han Shuai, and Wen-Huang 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))
  43. Hung-Yun Chiang, Yi-Syuan Chen, Yong-Zhu Song, Hong-Han Shuai, and Jason 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%)
  44. Shao-En Weng, Hong-Han Shuai, and Wen-Huang 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)) [Codes]
  45. Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, and Wen-Huang 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]
  46. Bo-Kai Ruan, Ling Lo, Hong-Han Shuai, and Wen-Huang 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]
  47. Chia-Wei Kuo, Yi-Ting Tsai, Hong-Han Shuai, Yi-Ren Yeh, Ching-Chun 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%))
  48. Yun-Zhu Song, Yi-Syuan Chen, and Hong-Han 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]
  49. Jia Wang, Hung-Yi Wu, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, “Residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding,” IEEE International Conference on Image Processing (ICIP), 2022. (Research Track Paper)
  50. Mu-Chun Chou, Hung-Jen Chen, and Hong-Han 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]
  51. Zhi-Rui Tam, Yi-Lun Wu, and Hong-Han 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]
  52. Lei Chen, Shao-En Weng, Chu-Jun Peng, Yin-Chi Li, Hong-Han Shuai, and Wen-Hunag Cheng, "The Hierarchical Ensemble Model for Network Intrusion Detection in the Real-World Dataset," IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
  53. Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, and Wen-Chih 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]
  54. Yi-Lun Wu, Hong-Han Shuai, Zhi-Rui Tam, and Hong-Yu 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]
  55. Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, and Ming-Syan 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]
  56. Chieh-Yun Chen, Ling Lo, Pin-Jui Huang, Hong-Han Shuai, and Wen-Huang 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]
  57. Hsiao-Han Lu, Shao-En Weng, Ya-Fan Yen, Hong-Han Shuai, and Wen-Huang 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]
  58. Hsiang-Chun Chang, Hung-Jen Chen, Yu-Chia Shen, Hong-Han Shuai, and Wen-Huang 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]
  59. Yun-Zhu Song, Yi-Syuan Chen, Yi-Ting Chang, Shao-Yu Weng, and Hong-Han 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]
  60. Tso-Yuan Chen, Ching-Chun Hsiao, Wen-Huang Cheng, Hong-Han Shuai, Peter Chen, and Ching-Chun Huang, "DensER: Density-imbalance-eased Regional Representation for Lidar-based Whole Scene Point Cloud Upsampling," IEEE Visual Communications and Image Processing Conference (VCIP), 2021.
  61. Yu-Li Chan and Hong-Han Shuai, "Explainable Health State Prediction for Social IoTs through Multi-Channel Attention,” IEEE Global Communication Conference (GLOBECOM), 2021. (Research Track Full Paper)
  62. Ying-Cheng Lu, Ching-Wen Chen, Ching-Chun Pu, Yang-Tung Lin, Jyun-Kai Jhan, Shu-Ping Liang, Wei-Lun Tseng, Chi-Shi Chen, Chao-Yang Yu, Hsiu-Wen Wang, Hong-Han Shuai, Her-Ming 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.
  63. Yu-Wei Yang, Chieh Hsu, Hsin-Chien Tung, Hong-Han Shuai, and Yung-Ju 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)
  64. Pin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, and Yung-Ju Chang, “Self-Attentive Recommendation System for Multi-Source Review Package,” International Joint Conference on Neural Networks (IJCNN), 2021. (Oral) [Paper, Dataset]
  65. Ling Lo, Hongxia Xie, Hong-Han Shuai, and Wen-Huang 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%) (Best Paper Award)
  66. Ching-Hao Wang, Kang-Yang Huang, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, “Heterogeneous Federated Learning through Multi-branch Network,” IEEE International Conference on Multimedia & Expo (ICME), 2021. (Poster, accepting rate = 30%)
  67. Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Chuan Shi, Philip S. Yu, and Ming-Syan Chen, “Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer," IEEE International Conference on Data Engineering (ICDE), 2021.
  68. Yi-Syuan Chen and Hong-Han 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]
  69. Dang-Khoa Nguyen, Wei-Lun Tseng, and Hong-Han 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]
  70. Wei-Cheng Lai, Zi-Xiang Xia, Hao-Siang Lin, Lien-Feng Hsu, Hong-Han Shuai, I-Hong Jhuo, and Wen-Huang 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]
  71. Chon Hou Sio, Yu-Jen Ma, Hong-Han Shuai, Jun-Cheng Chen, and Wen-Huang 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]
  72. Hong-Xia Xie, Ling Lo, Hong-Han Shuai, and Wen-Huang 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]
  73. Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang, “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))
  74. Y.-Z. Song, Z. R. Tam, H.-J. Chen, H.-H. Lu, and Hong-Han Shuai, "Character-Preserving Coherent Story Visualization," European Conference on Computer Vision (ECCV), 2020. (Research Track Paper, accepting rate = 27% (1361/5025)) [Paper, Codes]
  75. Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai, Wang-Chien Lee, Philip S. Yu, De-Nian Yang, "Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping," International Conference on Very Large Data Bases (VLDB), 2020. (Research Track Full Paper)
  76. Hsi-Wen Chen, Hong-Han Shuai, Sheng-De Wang and De-Nian 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%)
  77. Yun-Jui Hsu, Yi-Ting Chang, Chih-Ya Shen, Hong-Han Shuai, Wei-Lun Tseng, and Chen-Hsu Yang, "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))
  78. Ling Lo, Hongxia Xie, Hong-Han Shuai, and Wen-Huang 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.
  79. Dai-Ying Hsieh, Hsiao-Han Lu, Ru-Fen Jheng, Hung-Chen Chen, Hong-Han Shuai, and Wen-Huang 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]
  80. Chia-Yu Lin, Tzu-Ting Chen, Li-Chun Wang, and Hong-Han 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.
  81. Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, and Wen-Chih 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]
  82. Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, and Wen-Chih 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]
  83. Chon Hou Sio, Hong-Han Shuai, and Wen-Huang 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%)
  84. Chi-Rung Chang, Kuan-Yu Lung, Yi-Chung Chen, Zhi-Kai Huang, Hong-Han Shuai, and Wen-Huang 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%)
  85. Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, and Philip 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%)
  86. Ya-Wen Teng, Yishuo Shi, Jui-Yi Tsai, Hong-Han Shuai, Chih-Hua Tai, and De-Nian Yang, "Optimizing Social-Topic Engagement on Social Network and Knowledge Graph,” IEEE Global Communication Conference (GLOBECOM), 2019. (Research Track Full Paper)
  87. Chia-Wei Hsieh, Chieh-Yun Chen, Chien-Lung Chou, Hong-Han Shuai, Jiaying Liu, Wen-Huang 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]
  88. Ling Lo, Chia-Lin Liu, Rong-An Lin, Bo Wu, Hong-Han Shuai, and Wen-Huang Cheng, “Dressing for Attention: Outfit Based Fashion Popularity Prediction,” IEEE International Conference on Image Processing (ICIP), 2019. (Research Track Paper)
  89. Chia-Wei Hsieh, Chieh-Yun Chen, Chien-Lung Chou, Hong-Han Shuai, and Wen-Huang Cheng, “Fit-me: Image-Based Virtual Try-On with Arbitrary Poses,” IEEE International Conference on Image Processing (ICIP), 2019. (Research Track Paper)
  90. Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai, and Wen-Huang Cheng, “BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Research Track Paper, accepting rate = 25.2% (1299/5165)) [Demo]
  91. Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, and Ming-Syan 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%)
  92. Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip 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%)
  93. Hong-Han Shuai, Cheng-Ming Tsai, Yun-Jui Hsu, and Ta-Che Hsiao, “On Accelerating Multi-Layered Heterogeneous Network Representation Learning,” IEEE Global Communication Conference (GLOBECOM), 2018. (Research Track Full Paper, Acceptance Rate=38%)
  94. Yu-Ting Wen, Wen-Chih Peng, and Hong-Han 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))
  95. Hong-Han Shuai, Yueh-Hsue Li, Chun-Chieh Feng, and Wen-Chih Peng, “Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments,” International World Wide Web Conference (WWW), 2018. (Demo Track)
  96. Yu-Ting Wen, Pei-Wen Yeh, Tzu-Hao Tsai, Wen-Chih Peng, and Hong-Han 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%)
  97. Chen-Hung Liao, Hong-Han Shuai, and Li-Chun Wang, “Preventing Eavesdrop in Heterogeneous IoT Environments via Network Coding,” IEEE Consumer Communications & Networking Conference (CCNC), 2018. (Poster)
  98. Chih-Ya Shen, Liang-Hao Huang, De-Nian Yang, Hong-Han Shuai, Wang-Chien Lee, and Ming-Syan 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%)
  99. Chih-Ya Shen, Hong-Han Shuai, Kuo-Feng Hsu, and Ming-Syan 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%)
  100. Hui-Ju Hung, Hong-Han Shuai, De-Nian Yang, Liang-Hao Huang, Wang-Chien Lee, Jian Pei, and Ming-Syan 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%)
  101. Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, and Ming-Syan 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%)
  102. Hong-Han Shuai, Chih-Ya Shen, Hsiang-Chun Hsu, De-Nian Yang, Chung-Kuang Chou, Jihg-Hong Lin, and Ming-Syan Chen, “Revenue Maximization for Telecommunications Company with Social Viral Marketing,” IEEE International Conference on Big Data (BigData), 2015. (regular)
  103. Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, and Ming-Syan 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%)
  104. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, and Ming-Syan Chen, "Scale-Adaptive Group Optimization for Social Activity Planning," Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2015. (Research Track Full Paper, accepting rate = 22%)
  105. Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong, Hong-Han Shuai, and Philip S. Yu, "Discovering Organizational Correlations from Twitter," International Workshop on Domain Driven Data Mining in IEEE International Conference on Data Mining (ICDM-DDDM), 2014.
  106. Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, and Philip S. Yu, "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%)
  107. Chun-Ta Lu, Hong-Han Shuai, and Philip 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%)
  108. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, and Ming-Syan Chen, "Willingness Optimization for Social Group Activity," International Conference on Very Large Data Bases (VLDB), 2014. (Research Track Full Paper)
  109. Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Chih-Ya Shen, and Ming-Syan Chen, "On Pattern Preserving Graph Generation," IEEE International Conference on Data Mining (IEEE ICDM), 2013. (Research Track Full Paper, accepting rate = 11.6%)