• 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

• R.-X Zhang, Q.-Y. Zheng, Z.-Z Zhou, Z.-Q Liao, S.-Y Wu, J.-Y. Jiang-Lin, B. Wen, H.-X. Xie, J.-L Fu, and W.-H. Cheng, “MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [PDF]
• Y.-B Mao, J.-L Fu, R.-X Zhang, H.-X. Xie, and M.-B Yao, “Beyond Success: Refining Elegant Robot Manipulation from Mixed-Quality Data via Just-in-Time Intervention”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [PDF]
• M. Yuan, D.-W Lin, H.-X. Xie, T.-R Wu, and R. Ma, “CAD-Refiner: A Unified Framework for CAD Generation and Iterative Editing”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
• J.-Y. Jiang-Lin, K.-Y. Huang, L. Zou, L. Lo, S.-P. Yang, Y.-W. Tseng, K.-H. Lin, C.-L. Chen, Y.-T. Ta, Y.-T. Wang, P.-C. Chen, H.-X. Xie, H.-H. Shuai, and W.-H. Cheng, “TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
• C. Zhang, H.-X. Xie, B. Wen, S.-H. Zuo, R.-X Zhang, and W.-H.Cheng, “EmoArt: AMultidimensional Dataset for Emotion-Aware Artistic Generation”, in Proceedings of the ACM International Conference on Multimedia , Dataset Track, 2025.
• R.-X Zhang, J.-D. Gao, B. Wen, H.-X. Xie, C.-M, Zhang, H.-H. Shuai, and W.-H. Cheng, “RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation”, in Proceedings of the ACM International Conference on Multimedia, Dataset Track, 2025.
• R.-X Zhang, B. Wen, H.-X. Xie, Y. Yao, S.-H. Zuo, J.-L.-J.-Y, H.-H. Shuai, and W.-H. Cheng, “CookAnything: A Framework forFlexible and Consistent Multi-Step Recipe Image Generation”, in Proceedings of the ACM International Conference on Multimedia, 2025.
• J.-H Lin, Y. Yao, C.-F., Hsu, H.-X. Xie, H.-H.Shuai, and W.-H. Cheng, “Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation”, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025.
• P.-C Chen, Y. Yao, H.-X. Xie, H.-J. Chen, H.-H. Shuai,and W.-H. Cheng, “Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged ImageGeneration”, in Proceedings of the IEEE InternationalConference on Multimedia and Expo (ICME), 2025. （oral）
• 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]