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师资队伍

飞龙教授
来源:计算机学院  发布时间: 2016-06-08 15:26:07

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。

Email csfeilong@imu.edu.cn

每年预计招收博士研究生1名(计算机科学与技术专业)、学术型研究生2名(计算机科学与技术专业)、专业学位研究生4名(计算机技术、软件工程专业),欢迎对人工智能、自然语言处理、语音识别与合成理解、语音翻译、语义分析等方向感兴趣的同学报考。

研究方向:

人工智能,自然语言处理,语音识别,语音合成,语义理解,机器翻译

社会兼职:

内蒙古蒙古语言文字信息化学会理事、副秘书长

国家新闻出版广电总局重点实验室蒙古文数字资源标准化应用研究重点实验室学术委员会副主任

中国计算机学会自然语言处理委员会委员

中国人工智能学会多语种智能信息处理专业委员会委员

内蒙古自治区专业标准化技术委员会委员

内蒙古侨联青年委员会委员

主持的科研项目:

u 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

u 国家自然科学基金项目2

u 内蒙古自治区政府基础建设项目1

u 内蒙古自治区关键技术攻关计划项目2

u 内蒙古自治区关键技术攻关计划项目子课题1

u 内蒙古自治区蒙古语言文字信息化专项扶持项目1

u 内蒙古自治区自然科学基金项目2

u 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

u 内蒙古自治区人才开发基金项目1

u 成果转化项目2

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

代表性学术论文列表:

[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 ProcessingTASLP, 2021,29:274-285 ( SCI-1)

[2] Yonghe WangFeilong Bao*Hui ZhangGuanglai 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)

[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)

[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 GaoMongolian Named Entity Recognition System with Rich Features[C], COLING2016,the 26th International Conference on Computational Linguistics, Osaka, Japan, 2016.12.12-2016.12.17, pp505-512CCF-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)

[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. 57-61CCF-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)

[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)

[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)

[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)

[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)

[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)

[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 IntelligenceSan Jose, California, US2016.11.6-2016.11.9pp495-500CCF-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)


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