高光来，内蒙古扎赉特旗人，现任内蒙古大学教授，博士生导师，蒙古文智能信息处理技术国家地方联合工程研究中心主任；兼任第八届教育部科技委委员，中国人工智能学会多语种智能信息处理专委会副主任委员，中国语文现代化学会民族语文现代化专委会副理事长。1985年于内蒙古大学电子学系获工学学士学位，1988年于国防科技大学计算机系获工学硕士学位，2007至2008年作为国家公派访问学者在加拿大蒙特利尔大学计算机系从事人工智能领域研究。1998年获霍英东教育基金会青年教师奖，2000年被评为内蒙古自治区有突出贡献的中青年专家，2009年成为享受国务院政府特殊津贴专家，2010年入选自治区首批“草原英才”。主要研究领域为人工智能、模式识别与蒙古文智能信息处理，主持完成了国家863计划课题1项、国家973计划前期研究专项课题1项、国家重点研发计划（政府间国际科技创新合作重点专项）项目1项、国家自然科学基金项目5项、内蒙古自治区自然科学基金重大项目2项；合作完成工信部电子息产业发展基金课题4项。在国内率先研制了“印刷蒙古文识别系统”、“大词汇量蒙古语语音识别系统”、“蒙古文信息检索系统”，与中标软件公司合作开发了蒙古文操作系统、蒙古文办公软件等软件已成为产品推广使用。科研成果获得教育部科技进步二等奖、内蒙古自治区科技进步二等奖5项。

联系方式：csggl@imu.edu.cn

近年发表的主要论文:

2023年

Jiang Li, Xiangdong Su, Guanglai Gao:
TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline. ACL (1) 2023: 15460-15474

Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao:
How Well Apply Simple MLP to Incomplete Utterance Rewriting? ACL (2) 2023: 1567-1576

Yonghe Wang, Feilong Bao, Guanglai Gao:
A Comparative Study on Selecting Acoustic Modeling Units for WFST-based Mongolian Speech Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(10): 232:1-232:20 (2023)

Haolin Zuo, Rui Liu, Jinming Zhao, Guanglai Gao, Haizhou Li:
Exploiting Modality-Invariant Feature for Robust Multimodal Emotion Recognition with Missing Modalities. ICASSP 2023: 1-

2022年

Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:
Decoding Knowledge Transfer for Neural Text-to-Speech Training. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1789-1802 (2022)

Yonghe Wang, Rui Liu, Feilong Bao, Hui Zhang, Guanglai Gao:
Alignment-Learning Based Single-Step Decoding for Accurate and Fast Non-Autoregressive Speech Recognition. ICASSP 2022: 8292-8296

Rui Liu, Berrak Sisman, Björn W. Schuller, Guanglai Gao, Haizhou Li:
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning. INTERSPEECH 2022: 5493-5497

2021年

Rui Liu, Berrak Sisman, Feilong Bao, Jichen Yang, Guanglai Gao, Haizhou Li:Exploiting Morphological and Phonological Features to Improve Prosodic Phrasing for Mongolian Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 274-285 (2021)

Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:Expressive TTS Training With Frame and Style Reconstruction Loss. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1806-1818 (2021)

Yonghe Wang, Feilong Bao, Hui Zhang, Guanglai Gao:Joint Alignment Learning-Attention Based Model for Grapheme-to-Phoneme Conversion. ICASSP 2021: 7788-7792

2020年

Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS. IEEE Signal Process. Lett. 27: 1470-1474 (2020)

Na Liu, Xiangdong Su, Haoran Zhang, Guanglai Gao, Feilong Bao:Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation. COLING 2020: 4638-4648

Hao Li, Xueliang Zhang, Guanglai Gao:Beamformed Feature for Learning-based Dual-channel Speech Separation. ICASSP 2020: 4722-4726

Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li:Sub-Band Knowledge Distillation Framework for Speech Enhancement. INTERSPEECH 2020: 2687-2691

Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao:Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning. INTERSPEECH 2020: 4626-4630

2019年

Weihua Wang, Feilong Bao, Guanglai Gao:Learning Morpheme Representation for Mongolian Named Entity Recognition. Neural Process. Lett. 50(3): 2647-2664 (2019)

Daoerji Fan, Guanglai Gao, Huijuan Wu:Sub-Word Based Mongolian Offline Handwriting Recognition. ICDAR 2019: 246-253

Yanke Kang, Hongxi Wei, Hui Zhang, Guanglai Gao:Woodblock-Printing Mongolian Words Recognition by Bi-LSTM with Attention Mechanism. ICDAR 2019: 910-915

2018年-2016年

1.Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang:A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction. COLING 2018: 2448-2455

2.Hui Zhang, Xueliang Zhang, Guanglai Gao:Training Supervised Speech Separation System to Improve STOI and PESQ Directly. ICASSP 2018: 5374-5378

3.Hongxi Wei, Hui Zhang, Guanglai Gao:Word Image Representation Based on Visual Embeddings and Spatial Constraints for Keyword Spotting on Historical Documents. ICPR 2018: 3616-3621

4.Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang:Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model. INTERSPEECH 2018: 57-61

5.Hui Zhang, Xueliang Zhang, Guanglai Gao:Multi-Target Ensemble Learning for Monaural Speech Separation. INTERSPEECH 2017: 1958-1962

6.Hui Zhang, Hongxi Wei, Feilong Bao, Guanglai Gao:Segmentation-Free Printed Traditional Mongolian OCR Using Sequence to Sequence with Attention Model. ICDAR 2017: 585-590

7. Xiangdong Su, Guanglai Gao, Hongxi Wei, Feilong Bao: A knowledge-based recognition system for historical Mongolian documents. IJDAR 19(3): 221-235 (2016)

8. Xueliang Zhang, Hui Zhang, Shuai Nie, Guanglai Gao, Wenju Liu: A Pairwise Algorithm Using the Deep Stacking Network for Speech Separation and Pitch Estimation. IEEE/ACM Trans. Audio, Speech & Language Processing 24(6): 1066-1078 (2016)

9. Hong Su, Hui Zhang, Xueliang Zhang, Guanglai Gao: Convolutional neural network for robust pitch determination. ICASSP 2016: 579-583

10. Wei Wu, Guanglai Gao: A novel image classifier based on Gaussian mixture language model. ICASSP 2016: 1312-1316

11.Yunxue Shao, Guanglai Gao, Chunheng Wang:Nonlinear discriminant analysis based on vanishing component analysis. Neurocomputing 218: 172-184 (2016)

12.Weihua Wang, Feilong Bao, Guanglai Gao:Mongolian Named Entity Recognition System with Rich Features. COLING 2016: 505-512

13. 张晖,苏红,张学良,高光来:基于卷积神经网络的鲁棒性基音检测方法,自动化学报;42(6):959-964(2016)