个人简介
飞龙，男，蒙古族，1985年生，内蒙古兴安盟科右中旗人，2013年毕业于内蒙古大学计算机学院计算机应用专业，获工学博士学位。现任内蒙古大学计算机学院教授、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副主任、内蒙古自治区蒙古文信息处理技术重点实验室主任。获得内蒙古自治区“草原英才”工程青年创新创业一层次人才、内蒙古第八届“青年五四奖章”、内蒙古第一届“内蒙古草原文化传承之星（园丁奖）”和“内蒙古大学乌可力优秀青年教师奖”等称号和荣誉。在国内外核心期刊和学术会议发表学术论文80多篇，授权发明专利6项，获得软件著作权20多项，获得中国CCF科学技术奖——科技进步杰出奖、内蒙古自治区科学技术进步二等奖和三等奖各1项。研制了“蒙古语语音识别系统”、“蒙古语语音合成系统”、“西里尔蒙古文与传统蒙古文相互转换系统”、“蒙古文印刷体识别系统”、“蒙古文校正系统”、“蒙汉自动翻译系统”、“奥云蒙古文智能输入法”、“奥云词典”、“蒙古文AI云服务平台”和“蒙古语AI合成主播”等一系列蒙古文智能信息系统。
主持的科研项目：
国家重点研发计划——政府间国际科技创新合作重点专项子任务1项
国家自然科学基金项目2项
内蒙古自治区政府基础建设项目1项
内蒙古自治区关键技术攻关计划项目2项
内蒙古自治区关键技术攻关计划项目子课题1项
内蒙古自治区蒙古语言文字信息化专项扶持项目1项
内蒙古自治区自然科学基金项目2项
内蒙古自治区“草原英才”工程青年创新创业人才一层次人才项目1项
内蒙古自治区人才开发基金项目1项
成果转化项目2项
授权发明专利列表：
[1] 飞龙、高光来、侯宏旭等，西里尔蒙古文到传统蒙古文转换方法，发明专利号：ZL201410058055.8，授权日：2017-1-25
[2] 飞龙、高光来、赵建东等，一种基于HMM的蒙古语语音合成前端处理的方法，发明专利号：ZL201310595871.8，授权日：2016-8-17
[3] 飞龙、高光来、张红伟，一种蒙古语大词汇量连续语音识别的方法，发明专利号：ZL201610440618.9，授权日：2019-5-31
[4] 飞龙、路敏、高光来，一种蒙古文自动校正方法，发明专利号：ZL201610706212.0，授权日：2018-9-18
[5] 苏向东、高光来、熊玉竹、飞龙，基于神经网络的蒙古文命名实体识别方法及其识别系统，发明专利号：ZL201811068703.2，授权日：2019-9-10
[6] 苏向东、飞龙、高光来等，西里尔蒙古文和传统蒙古文双文种知识图谱构建方法，发明专利号：ZL201811178790.7，授权日：2020-9-1
近期论文
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[1] Rui Liu, Berrak Sisman, Feilong Bao* , et al. Exploiting Morphological and Phonological Features to Improve Prosodic Phrasing for Mongolian Speech Synthesis[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing（TASLP）, 2021,29:274-285 ( SCI-1区)
[2] Yonghe Wang，Feilong Bao*，Hui Zhang，Guanglai Gao,Joint Alignment Learning-Attention based Model for Grapheme-to-Phoneme Conversion[C] .2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2021). Toronto, Ontario, Canada, June 6-11, 2021: 7788-7792(CCF-B类)
[3] Rui Liu, Berrak Sisman,Jingdong Li, Feilong Bao*, et al.Teacher-student training for robust tacotron-based tts[C] .2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020). Barcelona, Spain, May 4-8, 2020: 6274-6278 (CCF-B类)
[4] Feilong Bao , Guanglai Gao, Xueliang Yan, Weihua Wang. Segmentation-based Mongolian LVCSR Approach. In Proceedings of The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2013), Vancouver, 2013: 8136-8139 （CCF-B类会议）
[5] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. A LSTM Approach with Sub-word Embeddings for Mongolian Phrase Break Prediction[C], Proceedings of the 27th International Conference on Computational Linguistics(COLING 2018), Santa Fe, New Mexico, USA, August 20-26, 2018, pp. 2448–2455 （CCF-B类）
[6] Weihua Wang, Feilong Bao* , Guanglai Gao，Mongolian Named Entity Recognition System with Rich Features[C], COLING2016,the 26th International Conference on Computational Linguistics, Osaka, Japan, 2016.12.12-2016.12.17, pp505-512（CCF-B类）
[7] Rui Liu, Berrak Sisman, Feilong Bao*, et al. Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS[J]. IEEE Signal Processing Letters, 2020, 27: 1470-1474 (SCI-2区)
[8] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model[C], Proc. Interspeech 2018, Hyderabad, India, September 2-6, 2018, pp. 57-61（CCF-C类）
[9] Weihua Wang, Feilong Bao*, Guanglai Gao, Learning Morpheme Representation for Mongolian Named Entity Recognition[J]. Neural Processing Letters. 2019, 50(3): 2647-2664. (SCI-3区)
[10] Weihua Wang, Rashel Fam, Feilong Bao*, Yves Lepage, Guanglai Gao. Neural Morphological Segmentation Model for Mongolian[C]. The 2019 International Joint Conference on Neural Networks (IJCNN2019),Glasgow, July 14-19 ,2019, pp. 407-418. (CCF-C类)
[11] Min Lu, Feilong Bao* , Guanglai Gao. An Automatic Spelling Correction Method for Classical Mongolian, The 12th International Conference on Knowledge Science[C], Engineering and Management(KSEM2019), Athens Greece, August 28-31, 2019, pp.201-214.(CCF-C类)
[12] Linyan Shi, Feilong Bao*, Yonghe Wang, Guanglai Gao. Research on Khalkha Dialect Mongolian Speech Recognition Acoustic Model Based on Weight Transfer[C], The 8th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC2019), Gansu, China, October 12-14,2019, pp.519-528. (CCF-C类)
[13] Min Lu, Feilong Bao*, Guanglai Gao. A Context-Free Spelling Correction Method for Classical Mongolian[C],The 8th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC2019), Gansu, China, October 12-14,2019, pp.550-559. (CCF-C类)
[14] Rui Liu, Feilong Bao*, Guanglai Gao. Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features[C], 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network (ICONIP 2019), Sydney, Australia, December 12-15, 2019, pp.642-651. ( CCF-C类)
[15] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism[C], The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018) , Nanjing, China, August 28-31, 2018, pp. 217–231（ CCF-C类）
[16] Weihua Wang, Feilong Bao*, Guanglai Gao, Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks[C], ICTAI 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence，San Jose, California, US，2016.11.6-2016.11.9，pp495-500（CCF-C类）
[17] Min Lu, Feilong Bao* , Guanglai Gao.Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model,The 14th International Conference on Knowledge Science, Engineering and Management(KSEM2021), Tokyo, Japan, August 14-16, 2021, pp.176-190.(CCF-C类)
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