湖南科技大学计算机科学与工程学院校聘副教授，博士，硕士生导师。主要研究方向为深度学习、多模态情感计算、语音信息处理等，主持并参与国家重点研发计划、国家自然科学基金、国家社会科学基金重大项目、校企合作项目10余项，在ITCE、ICASSP、ITETCI、IJCSE、ICCSE、ICTE、JMSE等国内外重要会议和期刊上发表论文20余篇，获得发明专利2项。

2006年9月-2010年6月 湖南大学计算机与通信学院 本科

2010年9月-2013年6月 湖南大学信息科学与工程学院 硕士

2015年9月-2020年11月 湖南大学信息科学与工程学院 博士

2013年6月-2015年6月 威胜集团 嵌入式软件工程师

2020年11月-2022年11月 湖南大学工商管理学院管理科学与工程 博士后

数字逻辑与数字系统、数字系统设计

[1]    国家自然科学基金委员会, 面上项目, 62473146, 面向边缘数据中心网络的智能拥塞控制关键技术研究, 2025/01-2028/12/31, 在研, 主研人员.

[2]    国家自然科学基金委员会, 面上项目, 72271087, 基于多层耦合网络与图神经网络的金融风险传染与预测研究, 2023/01-2026/12, 在研, 44万元，主研人员.

[3]    国家自然科学基金, 面上项目, 62076092, 面向情感计算的智能语音对话系统响应生成, 2021/01-2024/12, 已结题, 主研人员.

[4]    研究阐释党的十九届五中全会精神国家社会科学基金重大项目, 21ZDA114, 新兴数字技术驱动下金融安全风险防控体系构建与能力建设研究, 2021/01~2022/12, 已结题, 主研人员.

[5]    国家自然科学基金, 61772188, 面向语音环境基于情感计算的动态推荐系统模型研究, 2018/01-2021/12, 已结题, 主研人员.

[6]    国家自然科学基金, 61173106, 新一代汽车中智能语音处理若干关键技术研究, 2012/01-2015/12, 已结题, 主研人员.

[7]    国家重点研发计划, 2020YFB1713400, 新能源汽车制造产业集聚区域网络协同制造集成技术研究与应用示范, 2020.11-2023.10, 已结题, 主研人员.

[8]     技术服务, 湖南麓山云数据科技服务有限公司-湖南大学产学研合作, 2017/01-2019/12, 已结题, 主研人员.

[9]     技术开发, 国民信托投资公司基于大数据分析的资产管理服务平台建设, 2016/01-2016/12, 已结题, 主研人员.

[1]     Huan Zhao, Yufeng Xiao, Jing Han, Zixing Zhang. Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition. In: Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, UK, 2019, 6690-6694. (信号处理顶会)

[2]     Yufeng Xiao, Huan Zhao, Tingting Li. Learning Class-Aligned and Generalized Domain-Invariant Representations for Speech Emotion Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, 4(4):480-489. (SCI 2区)

[3]     Huan Zhao, Yufeng Xiao*, Zixing Zhang. Robust Semisupervised Generative Adversarial Networks for Speech Emotion Recognition via Distribution Smoothness. IEEE Access, 8(2020): 106889-106900. (SCI)

[4]     Gang-jin Wang, Yusen Feng, Yufeng Xiao, You Zhu, Chi Xie. Connectedness and systemic risk of the banking industry along the belt and road. Journal of Management Science and Engineering, DOI: 10.1016/j.jmse.2021.12.002. 2021.

[5]     Huan Zhao, Tingting Li, Yufeng Xiao, Yu Wang. Improving Multi-Agent Generative Adversarial Nets with Variational Latent Representation. Entropy 2020, 22, 1055.

[6]     Huan Zhao, Yingxue Gao, Yufeng Xiao. Upgraded Attention-Based Local Feature Learning Block for Speech Emotion Recognition. In Proc of Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), Virtual Event, 2021, 118-130. (CCF C类会议)

[7]     Huan Zhao, Xiaoxiao Zhou, Yufeng Xiao. Recognising Continuous Emotions in Dialogues Based on DISfluencies and Non-verbal Vocalisation Features for A Safer Network Environment. International Journal of Computational Science and Engineering, 2019, 19(2): 169-176.

[8]     Huan Zhao, Yuansun Zhang, Yufeng Xiao. A New Collaborative Filtering Algorithm with Combination of Explicit Trust and Implicit Trust. In Proc. Of International Conference on Computer Science & Education (ICCSE), 8-11 August, 2018. Colombo, Sri Lanka: 319-323.

[9]     Yuqing Shi, Huan Zhao, Yufeng Xiao. A New Hybrid Collaborative Filtering Algorithm with Combination of Trust. In Proc. Of International Conference on Information AND Communication Technology for Education (ICTE), 2-3 August, 2016. Toronto, Canada:199-205.

[10] Huan Zhao, Haijiao Chen, Yufeng Xiao and Zixing Zhang. Privacy-Enhanced Federated Learning Against Attribute Inference Attack for Speech Emotion Recognition. In: Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece, 2023, 1-5.

[11] Yingxue Gao, Huan Zhao, Yufeng Xiao, and Zixing Zhang. GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition. In: Proc. of International Conference on Multimodal Interaction (ICMI). New York, USA, 2023, 307–313.

[12] Yufeng Xiao, Yuqin Bo, Zhiling Zheng. Speech Emotion Recognition based on Semi-Supervised Adversarial Variational Autoencoder, 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud), Xiangtan, Hunan, China, 2023, 1-5.

[13] Yanlu Li, Yufeng Xiao, Yinyan Gong, Ronglin Zhang, Yingzi Huo, and Yanbing Wu. Explainable AI: A Way to Achieve Trustworthy AI. 2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity), NYC, NY, USA, 2024, 150-155. doi: 10.1109/BigDataSecurity62737.2024.00034

[14] Yanlu Li, Yufeng Xiao, Wei Liang, Jiahong Cai, Ronglin Zhang, Kuan-Ching Li, Muhammad Khurram Khan. The security and privacy challenges toward cybersecurity of 6G networks: A comprehensive review. Computer Science and Information Systems. 2024, 21(3): 851-897. doi.org/10.2298/CSIS230804016L

[15] Yufeng Xiao, Yingzi Huo, Jiahong Cai, Yinyan Gong, Wei Liang, Joanna Kolodziej. ERF-XGB: An Edge-IoT-Based Explainable Model for Predictive Maintenance. IEEE Transactions on Consumer Electronics, 2024, 70(1): 4016-4025. DOI: 10.1109/TCE.2024.3371440.

[16] Yufeng Xiao, Xueting Huang, Wei Liang, Jingnian Liu, Yuxiang Chen, Rui Xie, Kuanching Li, Nam Ling. Medical images anomaly detection for imbalanced datasets with multi-scale normalizing flow[J]. Computer Science and Information Systems, 2025, 22(1): 219-238.

深度学习、多模态数据分析、情感计算