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飞龙教授
来源:计算机亚洲青年运动会投注app  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年毕业于亚洲青年运动会在哪里可以投注计算机应用专业,获工学博士学位。现任亚洲青年运动会在哪里可以投注教授、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副主任。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”和内蒙古第一届“内蒙古草原文化传承之星(园丁奖)”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70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系统。

Email csfeilong@imu.edu.cnfeilong571@163.com


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2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、语音合成、机器翻译等方向感兴趣的同学报考。

研究方向:

人工智能、蒙古文智能信息处理,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

内蒙古自治区专业标准化技术委员会委员

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 内蒙古自然科学基金项目2

u 内蒙古自治区关键技术攻关计划项目1

u 内蒙古自治区关键技术攻关计划项目子课题1

u 内蒙古蒙古语言文字信息化专项扶持项目1

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

发明专利:

[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


软件著作权:

[1] 飞龙 、路敏、高光来等,蒙古文自动校对系统,V1.0,软件登记号:2016SR201584(网址为: http://mc.mglip.com:8080 

[2] 飞龙 、王洪伟、高光来等,基于C/S结构的西里尔到传统蒙古文翻译系统,V1.0,软件登记号:2014SR104997(网址为:http://trans.mglip.com 

[3] 飞龙 、张晖、高光来等,基于android系统的蒙汉常用语软件V1.0,软件登记号:2014SR104973

[4] 飞龙 、王洪伟、高光来等,基于B/S结构的西里尔到传统蒙古文翻译系统,V1.0,软件登记号:2014SR104976

[5] 飞龙 、高光来、侯宏旭等,新蒙汉机器翻译系统V1.0,软件登记号:2013SR133132

[6] 飞龙 、张杰、高光来、王代鹰、亚男,奥云蒙古文输入法软件,v1.0,软件登记号:2015SR102946(输入法下载网址为: http://oyun.mglip.com 

[7] 飞龙 、王洪伟、高光来,西里尔蒙古文与传统蒙古文相互转换系统,V1.0,软件登记号:2015SR103555

[8] 飞龙、王勇和、高光来等,蒙古语语音识别系统V1.0,软件登记号:2017SR469155

[9] 飞龙、刘瑞、其乐木格等,蒙古语语音合成系统V1.0,软件登记号:2017SR455984(网址为:http://mtts.mglip.com 

[10] 飞龙、苏向东、王勇和等,蒙古文电子词典软件V1.0,软件登记号:2017SR456079 (使用网址为:http://dic.mglip.com

[11] 飞龙、高光来、魏宏喜等,蒙古文印刷体识别系统,V1.0, 软件登记号:2017SR456070(网址为:http://ocr.mglip.com

[12] 飞龙、张晖、高光来等,蒙古文手写识别系统,V1.0, 软件登记号:2017SR456114

[13] 飞龙、单禹、苏向东等,Android端奥云蒙古文智能输入法软件,V1.0, 软件登记号:2020SR0243616

[14] 飞龙、苏岳勒、苏向东等,ios端奥云蒙古文智能输入法软件,V1.0, 软件登记号:2020SR0249796

[15] 飞龙、侯宏旭、高光来等,蒙汉机器翻译和辅助翻译软件,V1.0,软件登记号:2019SR0644912

[16] 飞龙、张晖、高光来等,奥云蒙古文印刷体识别(OCR)系统,V1.0,软件登记号:2019SR1065466

近几年发表的学术论文:

2021年度

[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)

2020年度

[1]  Rui Liu, Berrak Sisman,Jingdong Li, Feilong Bao*, et al.Teacher-student training for robust tacotron-based tts[C] .ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020). IEEE, 2020: 6274-6278(CCF- B)

[2] 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)

[3] Rui Liu, Berrak Sisman, Feilong Bao*, et al. WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss[C].Proc. Odyssey 2020 The Speaker and Language Recognition Workshop. 2020: 245-251.

[4] Fan Yang,Feilong Bao*,Guanglai Gao.Online Handwritten Mongolian Character Recognition using CMA-MOHR and Processing Coordinate [C]. 2020 International Conference on Asian Language Processing (IALP). 2020.

[5] Guangyi WangFeilong Bao,Weihua Wang.Mongolian Questions Classification Based on Mulit-Head Attention[C].The Eighteenth China National Conference on Computational Linguistics, CCL 2020.

[6] Guangyi WangFeilong Bao,Weihua Wang.Mongolian Questions Classification in the Law Domain[C].2020 International Conference on Asian Language Processing (IALP).2020.

[7] 牛米佳, 飞龙*, 高光来. 蒙古语长音频语音文本自动对齐的研究, 中文信息学报, 2020, 34(1)1003-0077.

[8] Xiao Cheng,Weihua WangFeilong Bao,Guanglai Gao.MTNER: A Corpus for Mongolian Tourism Named Entity Recognition[C].The 16th China Conference on Machine Translation (CCMT2020).

[9] Na Liu,Xiangdong Su,Haoran Zhang,Guanglai Gao, Feilong Bao.Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation[C].The 28th International Conference on Computational Linguistics(COLING2020).(CCF B)

2019年度

[1] Weihua Wang, Feilong Bao*, Guanglai Gao, Learning Morpheme Representation for Mongolian Named Entity Recognition. Neural Processing Letters. 2019, 50(3): 2647-2664. (SCI, IF=2.591, CCF C类期刊)

[2] Weihua Wang, Rashel Fam, Feilong Bao*, Yves Lepage, Guanglai Gao. Neural Morphological Segmentation Model for Mongolian. The 2019 International Joint Conference on Neural Networks (IJCNN2019),Glasgow, July 14-19 ,2019, pp. 407-418. (CCF C类会议,EI检索)

[3] Min Lu, Feilong Bao* , Guanglai Gao. An Automatic Spelling Correction Method for Classical Mongolian, The 12th International Conference on Knowledge Science, Engineering and Management(KSEM2019), Athens Greece, August 28-31, 2019, pp.201-214.(CCF C类会议,EI检索)

[4] Linyan Shi, Feilong Bao*, Yonghe Wang, Guanglai Gao. Research on Khalkha Dialect Mongolian Speech Recognition Acoustic Model Based on Weight Transfer, The 8th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC2019), Gansu, China, October 12-14,2019, pp.519-528. (CCF C类会议,EI检索)

[5] Min Lu, Feilong Bao*, Guanglai Gao. A Context-Free Spelling Correction Method for Classical Mongolian,The 8th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC2019), Gansu, China, October 12-14,2019, pp.550-559. (CCF C类会议,EI检索)

[6] Rui Liu, Feilong Bao*, Guanglai Gao. Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features, 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类会议,EI检索)

[7] Shijie Wang, Feilong Bao*, Guanglai Gao. Research on New Event Detection Methods for Mongolian News, The 2019 International Conference on Asian Language Processing (IALP 2019), Shanghai, November15-17, 2019, pp.498-5031.

[8] Mingyan Tan, Feilong Bao*, Guanglai Gao. An Attention-Based Approach for Mongolian News Named Entity Recognition, 第十八届全国计算语言学会议(CCL2019, 昆明, 20191018-20, pp.424-435.

2018年度

[1] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. A LSTM Approach with Sub-word Embeddings for Mongolian Phrase Break Prediction, 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)

[2] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model, Proc. Interspeech 2018, Hyderabad, India, September 2-6, 2018, pp. 57-61  CCF C类)

[3] Rui Liu, Feilong Bao*, Guanglai Gao, Hui Zhang, Yonghe Wang. Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism, The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018) , Nanjing, China, August 28-31, 2018, pp. 217–231CCF C类)

[4] Zhinan Liu, Feilong Bao *, Guanglai Gao,Mongolian Grapheme to Phoneme Conversion by Using Hybrid Approach, The Seventh CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2018), Hohhot, China,August 26-30, 2018, pp. 40-50

[5] Linyan Shi, Feilong Bao*, Yonghe Wang and Guanglai Gao. Research on transfer learning for Khalkha Mongolian speech recognition based on TDNN,The International Conference on Asian Language Processing (IALP 2018) ,Bandung, Indonesia,November 15-17, 2018,pp. 91-95

[6]王勇和, 飞龙*, 高光来.基于TDNN-FSMN的蒙古语语音识别技术研究,中文信息学报, 2018,32(9):28-34

[7]温子潇, 包飞龙*, 高光来, 王勇和, 苏向东. 蒙古文信息检索系统的设计与实现. 中文信息学报, 2018,32(7):44-51

[8] Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao. Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models,25th International Conference on Neural Information Processing(ICONIP 2018), December 13-16,2018,pp. 231-232CCF C类)

2017年度

[1] Yonghe Wang, Feilong Bao* , Hongwei Zhang and Guanglai Gao(2018) Research on Mongolian speech recognition based on FSMN, Natural Language Processing and Chinese Computing, NLPCC2017 , Dalian, pp.243-254

[2] Lu Min, Feilong Bao* and Guanglai Gao , Language Model for Mongolian Polyphone Proofreading, 16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, pp.461-471

[3] Rui Liu, Feilong Bao*,Guanglai Gao and Yonghe Wang. (2018) Mongolian Text-to-Speech System Based on Deep Neural Network. In: Tao J., Zheng T., Bao C., Wang D., Li Y. (eds) Man-Machine Speech Communication. NCMMSC 2017. Communications in Computer and Information Science, vol 807. Springer, Singapore. pp 99-108

[4] Yonghe Wang, Feilong Bao*, Guanglai Gao and Rui Liu. Research on Mongolian speech recognition based on TDNN-LSTM[A]. 中国中文信息学会语音信息专业委员会.第十四届全国人机语音通讯学术会议(NCMMSC’2017)论文集[C].中国中文信息学会语音信息专业委员会:2017:9. pp.383-391

[5] 飞龙,高光来,王洪伟,路敏.基于规则和统计相结合的西里尔蒙古文到传统蒙古文转换方法[J].中文信息学报,2017,31(03):156-162

[6] 王勇和,飞龙*,高光来. 基于 TDNN-FSMN 的蒙古语语音识别技术研究,16届中国少数民族语言文字信息处理学术研讨会,桂林,2017

[7] Hui Zhang, Hongxi Wei, Feilong Bao and Guanglai Gao, Segmentation-Free Printed Traditional Mongolian OCR Using Sequence to Sequence with Attention Model, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, 2017, pp. 585-590.CCF C类会议)

2016年度

[1]  Weihua Wang, Feilong Bao* , Guanglai GaoMongolian Named Entity Recognition System with Rich Features, COLING2016,the 26th International Conference on Computational Linguistics, Osaka, Japan, 2016.12.12-2016.12.17, pp505-512CCF B类会议)

[2]  Weihua Wang, Feilong Bao*,  Guanglai Gao, Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks, ICTAI 2016, 2016 IEEE 28th International Conference on Tools with Artificial IntelligenceSan Jose, California, US2016.11.6-2016.11.9pp495-500CCF C类会议)

[3]  Weihua Wang, Feilong Bao* , Guanglai Gao, Cyrillic mongolian named entity recognition with rich features5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC2016, 昆明,2016.12.02-2016.12.06,pp 497-505

[4] Xiaofei YanFeilong Bao*Hongxi Wei Xiangdong SuA novel approach to improve the Mongolian language model using intermediate characters15th China National Conference, CCL 2016 and 4th International Symposium, NLP-NABD 2016,烟台,2016.10.15-2016.10.16, pp 103-113

[5] Hongwei Zhang, Feilong Bao*, Guanglai Gao, Hui Zhang .Comparison on Neural Network Based Acoustic Model in Mongolian Speech Recognition, Proceedings of 2016 International Conference on Asian Language Processing(IALP2016), Taiwan, Nov 23, 2016. 2016,pp 1-5

[6] Rui Liu, Feilong Bao*, Guanglai Gao, Weihua Wang . Mongolian Prosodic Phrase Prediction using suffix segmentation, Proceedings of 2016 International Conference on Asian Language Processing(IALP2016), Suzhou, Oct. 2015,pp 250-253

[7] 飞龙 ,高光来,王宏伟.基于词干的蒙古语语音关键词检测方法的研究.中文信息学报,2016,301:124-128

[8] Xiangdong Su Guanglai GaoHongxi WeiFeilong BaoA knowledge-based recognition system for historical Mongolian documentsInternational Journal on Document Analysis and Recognition2016.9.0119(3)221~235

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