刘佳星，天津大学智能与计算学部，博士，国家公派新加坡南洋理工大学联培，鹏城国家实验室实习。主要从事情感计算方向研究，聚焦语音、视频多模态情感识别，在 INTERSPEECH、ICASSP 等音频领域国际顶级会议以及 TAFFC、TASLP、Remote Sensing 等期刊发表多篇学术论文。主持国家青年C（原青基）项目，以及参与国家重点研发计划、国家自然科学基金面上项目、天津市新一代人工智能重大专项等多项国家级、省部级科研项目。 
1.2026.01-2028.12 国家自然科学基金青年科学基金：面向跨群体差异的多模态情感分析研究。主持人 2.2026.01-2028.12 国家自然科学基金面上科学基金：多模态联邦智能协同优化关键技术研究。参与 3.2019.06-2022.05 国家重点研发：基于语言认知机理的类脑自然语言识别与交互。参与 4.2018.10-2021.09 天津市新一代人工智能重大专项：面向机器人的复杂环境语音对话关键技术。参与 
[1] D. Lv, J. Liu*, Z. Li and K. Xue, "DG-MoE: Disentangled Cross-Modal Graph Interaction Assisted Mixture-of-Experts Model for Multimodal Sentiment Analysis With Missing Modality," in IEEE Transactions on Audio, Speech and Language Processing, vol. 34, pp. 3831-3840, 2026. [2] F. Zhao, R. Chen, D. Lv, K. Liu, J. Liu*,A CuTCPP(Fe) nanozyme family-based colorimetric sensor array with HC-MoE-assisted qualitative-quantitative decoding for antioxidant analysis.Sensors and Actuators B: Chemical,2026,140652 [3] Liu, J., Wu, S., Wang, L., Dang, J. (2024). Adaptive Deep Graph Convolutional Network for Dialogical Speech Emotion Recognition.NCMMSC 2023,pp 248–255. [4] Y. Gao, L. Wang, J. Liu*, J. Dang and S. Okada, "Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition," in IEEE Transactions on Affective Computing, 2023 vol. 15, no. 2, pp. 697-708 [5] Y. Song†, J. Liu†, L. Wang*, R. Yu, J. Dang. Multi‑Stage Graph Representation Learning for Dialogue‑Level Speech Emotion Recognition. ICASSP 2022. [6] Y. Gao†, J. Liu†, L. Wang*, J. Dang. Domain‑Invariant Feature Learning for Cross Corpus Speech Emotion Recognition. ICASSP 2022. [7] J. Liu, Z. Liu, L. Wang*, L. Guo and J. Dang, "Speech Emotion Recognition with Local-Global Aware Deep Representation Learning," ICASSP, 2020, pp. 7174-7178. [8] J. Liu et al., "Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion," ICASSP 2021,pp. 6339-6343. 
第十八届全国人机语音通讯学术会议——最佳论文, CCF语音对话与听觉专委会。 |
