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Published in 交通运输系统工程与信息, 2020
We propose complex network risk propagation model (Spearman correlation + SIR dynamics) for flight operation risk propagation.
Recommended citation: 王岩韬, 刘毓. (2020). "基于复杂网络的航班运行风险传播分析." 交通运输系统工程与信息, 20(1), 198–205. Available at: DOI.
Published in IEEE Transactions on Affective Computing, under review, 2025
We implement cross-modal alignment through Optimal Transport method to conduct fine-grained alignment, solve dynamic emotion recognition via vision-language models to enhance context retention.
Recommended citation: Yu Liu, Leyuan Qu, Hanlei Shi, Di Gao, Yuhua Zheng, and Taihao Li. (2025). "From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition." arXiv preprint arXiv:2507.11892. Available at: https://arxiv.org/abs/2507.11892.
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Published in In Proceedings of the 33rd ACM International Conference on Multimedia (MM), 2025
We propose HOPE, a hierarchical fusion framework for personality-aware depression detection. It reconstructs textual semantics from audio and integrates predictions consistently across tasks, achieving the 1st place in the MPDD Challenge Young Track.
Recommended citation: Hanlei Shi*, Yu Liu*, et al. (2025). "HOPE: Hierarchical Fusion for Optimized and Personality-Aware Estimation of Depression." In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM '25). DOI: 10.1145/3746027.3762063.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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