所在學院

j9九游會官網

職稱

副教授

職務

無

所在辦公室

不公布

招生學科

計算機軟件與理論

人工智能

軟件工程

辦公電話

62336516

郵箱

xuyanyan@bjfu.edu.cn

最后學歷

博士

最高學位

博士

入選的“人才”項目

北京高等學校青年英才計劃

目前的研究領域

人工智能

個人簡介：

徐艷艷，女，副教授，北京林業大學人工智能研究所所長，CCF語音對話與聽覺專業委員會委員。曾在荷蘭萊頓大學萊頓先進計算機科學研究所訪學一年。2013年入選北京高等學校“青年英才計劃”。研究領域為人工智能，具體研究語音識別、聲紋識別、語音合成、語音增強、大模型優化等。主持/參與國家自然科學基金、省部級、校級和企業級項目十余項。在國內外學術期刊和會議上發表SCI/EI檢索科研論文50余篇。自2011年起，擔任北京林業大學國際大學生程序設計競賽（ICPC）等多項程序設計競賽的教練職務，所帶隊伍多次獲得亞洲賽區金牌、銀牌和銅牌等獎項。

近年來發表的學術成果（部分）：

1、MinLin,Yanyan Xu, Chenghao Cai, Dengfeng Ke, Kaile Su. LTG: A lattice-transformer-graph deeplearning model for Chinese named entityrecognition. Journal of Intelligent Systems 2023.

2、Zimu Li, Yanyan Xu,Dengfeng Ke, Kaile Su. Three-stage training and orthogonality regularization for spoken language recognition. EURASIP Journal on Audio, Speech, and Music Processing 2023.

3、Minghang Ju, Yanyan Xu,Dengfeng Ke, Kaile Su. Multi-domain Attention Fusion Network for Language Recognition. SN COMPUT. SCI., vol. 4, no. 1, p. 39, Nov. 2023.

4、Minghang Ju, Yanyan Xu,Dengfeng Ke, Kaile Su. Masked multi-center angular margin loss for language recognition. J AUDIO SPEECH MUSIC PROC., vol. 2022, no. 1, p. 17, Dec. 2022.

5、Hongfeng Li, Yanyan Xu, Dengfeng Ke, Kaile Su. μ-law SGAN for generating spectra with more details in speech enhancement. Neural Networks 136, 17-27, 2021.

6、Shengjie Huang, Mingjie Chen,Yanyan Xu, Dengfeng Ke, Thomas Hain. WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization. Pacific Rim International Conference on Artificial Intelligence. Springer, Cham, 2021: 559-573.

7、Yongqiang Dou, Haocheng Yang, Maolin Yang, Yanyan Xu, Dengfeng Ke. Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection. 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 4115-4122.

8、Hongfeng Li, Yanyan Xu, Dengfeng Ke, Kaile Su. Improving speech enhancement by focusing on smaller values using relative loss. IET Signal Processing 14 (6), 374-384, 2020.

9、Feiyang Chen, Ziqian Luo, Yanyan Xu, Dengfeng Ke. Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis.The 3rd Workshop on Affective Content Analysis (AffCon 2020)co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 82-99.

10、Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su. Trainable back-propagated functional transfer matrices.Applied Intelligence, 49 (2): 376-395, 2019.

11、Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su. Learning of Human-like Algebraic Reasoning Using Deep Feedforward Neural Networks.Biologically Inspired Cognitive Architectures, 25: 43-50, 2018.

12、Ye Ruan, Yanyan Xu, Dengfeng Ke, Kaile Su. Steganography algorithm for Adaptive Multi-Rate Wideband speech based on algebraic codebook search. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOMMUNICATIONS. Vol. 25 (3): 71-79, 2018.

13、Ke Ding, Ne Luo, Yanyan Xu, Dengfeng Ke, Kaile Su. Mutual-optimization Towards Generative Adversarial Networks For Robust Speech Recognition. The 24nd International Conference on Pattern Recognition (ICPR 2018), 2699-2704.

14、Tianyu Liu, Yongzhi Ying, Dengfeng Ke, Yanyan Xu, Kaile Su. Fine-grained Air Quality Prediction using Attention Based Neural Network. International Joint Conference on Neural Networks (IJCNN 2018), 2161-4407.

15、Shudong Hao, Jordan Boyd-Graber, Michael J Paul, Yanyan Xu, Dengfeng Ke, Kaile Su, Hengli Peng, Zongtian Gao, Mingqing Zhang. From the Bible to Wikipedia: adapting topic model evaluation to multilingual and low-resource settings. North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018.

16、Yanyan Xu, Dengfeng Ke, Kaile Su. Contextualized Latent Semantic Indexing: A New Approach to Automated Chinese Essay Scoring. J. Intelligent Systems 26(2): 263-286, 2017.

17、Yukang Jia, Zhicheng Wu, Yanyan Xu, Dengfeng Ke, Kaile Su. Long Short-Term Memory Projection Recurrent Neural Network Architectures for Piano’s Continuous Note Recognition. J. Robotics 2017: 2061827:1-2061827:7.

18、Deqiang Fu, Yanyan Xu, Haoran Yu, Boyang Yang. WASTK: A Weighted Abstract Syntax Tree Kernel Method for Source Code Plagiarism Detection.Scientific Programming 2017: 7809047:1-7809047:8.

19、Jinming Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su. Deep Neural Network Bottleneck Features for Bird Species Veri?��������cation. International Joint Conference on Neural Networks (IJCNN 2017): 927-933.

20、Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su. Symbolic manipulation based on deep neural networks and its application to axiom discovery. International Joint Conference on Neural Networks (IJCNN 2017): 2136-2143.

21、Shudong Hao, Yanyan Xu, Dengfeng Ke, Kaile Su, Hengli Peng. SCESS: a WFSA-based automated simplified Chinese essay scoring system with incremental latent semantic analysis. Natural Language Engineering 22(2): 291-319, 2016.

22、Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su. Deep Neural Networks with Multistate Activation Functions. Comp. Int. and Neurosc. 2015: 721367:1-721367:10.

23、Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su. A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems. J. Robotics 2015: 797083:1-797083:7, 2015.

24、Chenghao Cai, Dengfeng Ke,Yanyan Xu, Kaile Su. A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks. International Joint Conference on Neural Networks (IJCNN 2015): 1-8.

25、Bin Huang, Dengfeng Ke, Hao Zheng, Bo Xu, Yanyan Xu, Kaile Su. Multi-task learning deep neural networks for speech feature denoising. The 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015): 2464-2468.