徐艳艳个人信息

姓名

徐艳艳

性别

所在学院

信息学院

职称

副教授

职务

所在办公室

不公布

招生学科

计算机软件与理论

人工智能

软件工程

办公电话

62336516

邮箱

xuyanyan@bjfu.edu.cn

最后学历

博士

最高学位

博士

入选的人才项目

北京高等学校青年英才计划

目前的研究领域

人工智能

个人简介:

徐艳艳,女,副教授,北京林业大学人工智能研究所所长,CCF语音对话与听觉专业委员会委员。曾在荷兰莱顿大学莱顿先进计算机科学研究所访学一年。2013年入选北京高等学校青年英才计划。研究领域为人工智能,具体研究语音识别、声纹识别、语音合成、语音增强、大模型优化等。主持/参与国家自然科学基金、省部级、校级和企业级项目十余项。在国内外学术期刊和会议上发表SCI/EI检索科研论文50余篇。自2011年起,担任北京林业大学国际大学生程序设计竞赛(ICPC)等多项程序设计竞赛的教练职务,所带队伍多次获得亚洲赛区金牌、银牌和铜牌等奖项。

近年来发表的学术成果(部分):

1Min Lin, Yanyan Xu, Chenghao Cai, Dengfeng Ke, Kaile Su. LTG: A lattice-transformer-graph deep learning model for Chinese named entity recognition. Journal of Intelligent Systems 2023.

2Zimu 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.

3Minghang 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.

4Minghang 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.

5Hongfeng 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.

6Shengjie 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.

7Yongqiang 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.

8Hongfeng 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.

9Feiyang 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.

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

11Chenghao 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.

12Ye 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.

13Ke 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.

14Tianyu 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.

15Shudong 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.

16Yanyan 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.

17Yukang 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.

18Deqiang 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.

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

20Chenghao 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.

21Shudong 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.

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

23Chenghao 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.

24Chenghao 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.

25Bin 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.