• H.-I. Liu, Galindo, M., H.-X. Xie, L.-K. Wong, H.-H. Shuai, and W.-H. Cheng, "Lightweight Deep Learning for Resource-Constrained Environments: A Survey", ACM Computing Surveys, 2024. [PDF]
• H.-X. Xie, L. Lo, H.-H. Shuai, and W.-H. Cheng, “An overview of facial micro-expression analysis: Data, methodology and challenge,” IEEE Transactions on Affective Computing, pp. 1–1, 2022. DOI: 10.1109/TAFFC.2022.3143100. [PDF]           
• P.-J. Huang, H.-X. Xie, H.-C. Huang, H.-H. Shuai, and W.-H. Cheng, “CA-FER: Mitigating spurious correlation with counterfactual attention in facial expression recognition,” IEEE Transactions on Affective Computing, (* means equal contribution). DOI: 10.1109/TAFFC.2023.3312768. [PDF]              
• L. Lo, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, “Facial chirality: From visual self-reflection to robust facial featurelearning,” IEEE Transactions on Multimedia, vol. 24, pp. 4275–4284, 2022. DOI: 10.1109/TMM.2022.3197365. [PDF]            
• W.-C. Kao, H.-X. Xie, C.-Y. Lin, and W.-H. Cheng, “Specific expert learning: Enriching ensemble diversity via knowledge distillation,” IEEE Transactions on Cybernetics, pp. 1–12, 2021. DOI: 10.1109/TCYB.2021.3125320. [PDF]         

Conference     

• Y.-H. Huang, L. Ling, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, "Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec", in Annual AAAI Conference on Artificial Intelligence, 2025.
• Y.,Yao, C.-F. Hsu, J.-H. Lin, H.-X. Xie, et al., "The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation", in European Conference on Computer Vision (ECCV), 2024. [PDF] 
• H.-X. Xie, C.-J. Peng, Y.-W. Tseng, et al., “EmoVIT: Revolutionizing emotion insights with visual instruction tuning,” in Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2024. [PDF] 
• H.-X. Xie, M.-X. Lee, T.-J. Chen, et al., “Most important person-guided dual-branch cross-patch attention for group affect recognition,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [PDF] 
• H.-X. Xie, L. Lo, H.-H. Shuai, and W.-H. Cheng, “AU-assisted graph attention convolutional network for micro-expression recognition,” in Proceedings of the 28th ACM International Conference on Multimedia (MM), 2020, pp. 2871–2880. [PDF] 
• H.-X. Xie, H. Zhong, H.-H. Shuai, and W.-H. Cheng, “Learning to prompt for vision-language emotion recognition,” in Affective Computing and Intelligent Interaction (ACII), AHRI workshop, 2023. [PDF]         
• H.-X. Xie, I.-H. Li, L. Ling, H.-H. Shuai, and W.-H. Cheng, “Refining valence arousal estimation with dual-stream label density smoothing,” in International Conference on Consumer Electronics (ICCE), 2024. [PDF] 
• 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,” in 2021 IEEE International Conference on Multimedia and Expo (ICME), IEEE,2021, pp. 1–6. [PDF]   
• 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,” in 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), IEEE, 2020, pp. 79–84. [PDF]