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2020 – today
- 2025
[j10]De Hu
, Qintuya Si, Feilong Bao, Huaiwen Zhang:
Distributed energy-saving speech enhancement in wireless acoustic sensor networks. Inf. Fusion 113: 102593 (2025)- 2024
- [j9]Min Lu, Feilong Bao, Hui Zhang, Guanglai Gao:
The image and ground truth dataset of Mongolian movable-type newspapers for text recognition. Int. J. Document Anal. Recognit. 27(2): 113-125 (2024) - [c75]Qiuyu Liang, Weihua Wang, Lei Lv, Feilong Bao:
Knowledge Graph-Enhanced Recommendation with Box Embeddings. CCL 2024: 274-288 - [c74]Nan Chen, Xiangdong Su, Feilong Bao:
Hyperbolic Representations for Prompt Learning. LREC/COLING 2024: 8487-8492 - [c73]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
L\²GC: Lorentzian Linear Graph Convolutional Networks for Node Classification. LREC/COLING 2024: 9988-9998 - [c72]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
Fully Hyperbolic Rotation for Knowledge Graph Embedding. ECAI 2024: 1615-1622 - [c71]Jie Yang, Feilong Bao:
MDG: Multilingual Co-speech Gesture Generation with Low-level Audio Representation and Diffusion Models. IALP 2024: 210-215 - [c70]Pengkai Yin, Rui Liu, Feilong Bao, Guanglai Gao:
Multi-Perspective Transfer Learning for Automatic MOS Prediction of Low Resource Language. IALP 2024: 286-290 - [c69]Jiangyuan Shi, Fujun Zhang, Zhenjie Gao, Feilong Bao, Guanglai Gao, Wenjun Zhang:
STAR: Syntax- and Topic-Aware Role Dialogue Summarization. ICIC (LNAI 3) 2024: 3-14 - [c68]Nan Chen, Yonghe Wang, Xiangdong Su, Feilong Bao:
Efficient Speech-to-Text Translation: Progressive Pruning for Accelerated Speech Pre-trained Model. ICME 2024: 1-6 - [c67]Yuan Li, Yonghe Wang, Feilong Bao, Zhenjie Gao, Guanglai Gao, Wenjun Zhang:
Improving End-to-End Speech Recognition Through Conditional Cross-Modal Knowledge Distillation with Language Model. IJCNN 2024: 1-7 - [c66]Qiuyu Liang, Weihua Wang, Jie Yu, Feilong Bao:
Hierarchy-Aware Quaternion Embedding for Knowledge Graph Completion. IJCNN 2024: 1-8 - [c65]Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao:
Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection. IJCNN 2024: 1-8 - [c64]Qiuyu Liang, Weihua Wang, Jie Yu, Feilong Bao:
Effective Knowledge Graph Embedding with Quaternion Convolutional Networks. NLPCC (3) 2024: 183-196 - [c63]Weiqi Wang, Feilong Bao, Hui Zhang:
Segmentation-Free Todo Mongolian OCR and its Public Dataset. PRCV (7) 2024: 72-85 - [e1]Rui Liu, Lei Wang, Feilong Bao, Yanfeng Lu, Cunhang Fan, Minghui Dong:
International Conference on Asian Language Processing, IALP 2024, Hohhot, China, August 4-6, 2024. IEEE 2024, ISBN 979-8-3315-4085-2 [contents] - [i7]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
L2GC: Lorentzian Linear Graph Convolutional Networks For Node Classification. CoRR abs/2403.06064 (2024) - [i6]Yuan Zhao, Zhenqi Jia, Rui Liu, De Hu, Feilong Bao, Guanglai Gao:
MCDubber: Multimodal Context-Aware Expressive Video Dubbing. CoRR abs/2408.11593 (2024) - 2023
- [j8]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) - [j7]De Hu, Huaiwen Zhang, Feilong Bao, Rui Wang:
Distributed Sampling Rate Offset Estimation Over Acoustic Sensor Networks Based on Asynchronous Network Newton Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 31: 301-312 (2023) - [j6]De Hu, Qintuya Si, Rui Liu, Feilong Bao:
Distributed Sensor Selection for Speech Enhancement With Acoustic Sensor Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 985-999 (2023) - [c62]Si Qin, Feilong Bao, Uuganbaatar Dulamragchaa:
Mongolian Medicine Named Entity Recognition via Dictionary-Based Synonym Generalization. CCIS 2023: 300-305 - [c61]Muhan Na, Feilong Bao, Weihua Wang, Guanglai Gao, Uuganbaatar Dulamragchaa:
Traditional Mongolian-to-Cyrillic Mongolian Conversion Method Based on the Combination of Rules and Transformer. CCIS 2023: 440-445 - [c60]Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao:
TableSF: A Structural Bias Framework for Table-To-Text Generation. ICANN (9) 2023: 401-412 - [c59]Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao:
Few-Shot Table-to-Text Generation with Structural Bias Attention. PRICAI (2) 2023: 349-354 - [i5]Kailin Liang, Bin Liu, Yifan Hu, Rui Liu, Feilong Bao, Guanglai Gao:
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset. CoRR abs/2301.00657 (2023) - 2022
- [c58]Yutao Peng, Weihua Wang, Feilong Bao:
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain. CCL 2022: 229-244 - [c57]Yifan Hu, Pengkai Yin, Rui Liu, Feilong Bao, Guanglai Gao:
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline. IALP 2022: 184-189 - [c56]Bin Li, Weihua Wang, Feilong Bao:
Joint Training Model of Intent Detection and Slot Filling for Multi Granularity Implicit Guidance. IALP 2022: 271-274 - [c55]Qing Zhang, Feilong Bao, Xiangdong Su, Weihua Wang, Guanglai Gao:
End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers. ICANN (4) 2022: 620-632 - [c54]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 - [c53]Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao:
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion. ICONIP (6) 2022: 612-625 - [c52]Yihao Wu, Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao:
MNASR: A Free Speech Corpus For Mongolian Speech Recognition And Accompanied Baselines. O-COCOSDA 2022 2022: 1-6 - [i4]Yifan Hu, Pengkai Yin, Rui Liu, Feilong Bao, Guanglai Gao:
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline. CoRR abs/2209.10848 (2022) - 2021
- [j5]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) - [c51]Aihong Huang, Feilong Bao, Guanglai Gao, Yu Shan, Rui Liu:
Mongolian emotional speech synthesis based on transfer learning and emotional embedding. IALP 2021: 78-83 - [c50]Yonghe Wang, Feilong Bao, Hui Zhang, Guanglai Gao:
Joint Alignment Learning-Attention Based Model for Grapheme-to-Phoneme Conversion. ICASSP 2021: 7788-7792 - [c49]Pengcheng Guo, Xiangdong Su, Haoran Zhang, Feilong Bao:
MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation. IJCNN 2021: 1-8 - [c48]Min Lu, Feilong Bao, Guanglai Gao:
Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model. KSEM 2021: 176-190 - [c47]Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao:
Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition. PRICAI (2) 2021: 232-243 - 2020
- [j4]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) - [c46]Xiao Cheng, Weihua Wang, Feilong Bao, Guanglai Gao:
MTNER: A Corpus for Mongolian Tourism Named Entity Recognition. CCMT 2020: 11-23 - [c45]Guangyi Wang, Feilong Bao, Weihua Wang:
Mongolian Questions Classification Based on Multi-Head Attention. CNCL 2020: 273-284 - [c44]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 - [c43]Fan Yang, Feilong Bao, Guanglai Gao:
Online Handwritten Mongolian Character Recognition using CMA-MOHR and Coordinate Processing. IALP 2020: 30-33 - [c42]Guangyi Wang, Feilong Bao, Weihua Wang:
Mongolian Questions Classification in the Law Domain. IALP 2020: 56-59 - [c41]Pengcheng Guo, Xiangdong Su, Haoran Zhang, Meng Wang, Feilong Bao:
A Multi-Scaled Receptive Field Learning Approach for Medical Image Segmentation. ICASSP 2020: 1414-1418 - [c40]Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li:
Teacher-Student Training For Robust Tacotron-Based TTS. ICASSP 2020: 6274-6278 - [c39]Xiang Hao, Xiangdong Su, Shixue Wen, Zhiyu Wang, Yiqian Pan, Feilong Bao, Wei Chen:
Masking and Inpainting: A Two-Stage Speech Enhancement Approach for Low SNR and Non-Stationary Noise. ICASSP 2020: 6959-6963 - [c38]Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss. Odyssey 2020: 245-251 - [i3]Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss. CoRR abs/2002.00417 (2020) - [i2]Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS. CoRR abs/2008.05284 (2020)
2010 – 2019
- 2019
- [j3]Weihua Wang, Feilong Bao, Guanglai Gao:
Learning Morpheme Representation for Mongolian Named Entity Recognition. Neural Process. Lett. 50(3): 2647-2664 (2019) - [c37]Rui Liu, Jingdong Li, Feilong Bao, Guanglai Gao:
The IMU speech synthesis entry for Blizzard Challenge 2019. Blizzard Challenge 2019 - [c36]Mingyan Tan, Feilong Bao, Guanglai Gao, Weihua Wang:
An Attention-Based Approach for Mongolian News Named Entity Recognition. CCL 2019: 424-435 - [c35]Shijie Wang, Feilong Bao, Guanglai Gao:
Research on New Event Detection Methods for Mongolian News. IALP 2019: 498-503 - [c34]Huali Xu, Xiangdong Su, Tongyang Liu, Pengcheng Guo, Guanglai Gao, Feilong Bao:
A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning. ICONIP (1) 2019: 65-73 - [c33]Xiangdong Su, Xiang Hao, Zhiyu Wang, Yun Liu, Huali Xu, Tongyang Liu, Guanglai Gao, Feilong Bao:
Learning an Adversarial Network for Speech Enhancement Under Extremely Low Signal-to-Noise Ratio Condition. ICONIP (1) 2019: 86-97 - [c32]Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao, Min Lu:
Morphological Knowledge Guided Mongolian Constituent Parsing. ICONIP (3) 2019: 363-375 - [c31]Rui Liu, Feilong Bao, Guanglai Gao:
Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features. ICONIP (5) 2019: 642-651 - [c30]Weihua Wang, Rashel Fam, Feilong Bao, Yves Lepage, Guanglai Gao:
Neural Morphological Segmentation Model for Mongolian. IJCNN 2019: 1-7 - [c29]Min Lu, Feilong Bao, Guanglai Gao, Weihua Wang, Hui Zhang:
An Automatic Spelling Correction Method for Classical Mongolian. KSEM (2) 2019: 201-214 - [c28]Hongxi Wei, Cong Liu, Hui Zhang, Feilong Bao, Guanglai Gao:
End-to-End Model for Offline Handwritten Mongolian Word Recognition. NLPCC (2) 2019: 220-230 - [c27]Linyan Shi, Feilong Bao, Yonghe Wang, Guanglai Gao:
Research on Khalkha Dialect Mongolian Speech Recognition Acoustic Model Based on Weight Transfer. NLPCC (2) 2019: 519-528 - [c26]Min Lu, Feilong Bao, Guanglai Gao:
A Context-Free Spelling Correction Method for Classical Mongolian. NLPCC (2) 2019: 550-559 - [i1]Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li:
Teacher-Student Training for Robust Tacotron-based TTS. CoRR abs/1911.02839 (2019) - 2018
- [c25]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 - [c24]Linyan Shi, Feilong Bao, Yonghe Wang, Guanglai Gao:
Research on Transfer Learning for Khalkha Mongolian Speech Recognition Based on TDNN. IALP 2018: 85-89 - [c23]Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao:
Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models. ICONIP (5) 2018: 558-569 - [c22]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 - [c21]Jingdong Li, Hui Zhang, Rui Liu, Xueliang Zhang, Feilong Bao:
End-to-End Mongolian Text-to-Speech System. ISCSLP 2018: 483-487 - [c20]Zhinan Liu, Feilong Bao, Guanglai Gao, Suburi:
Mongolian Grapheme to Phoneme Conversion by Using Hybrid Approach. NLPCC (1) 2018: 40-50 - [c19]Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang:
Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism. PRICAI (1) 2018: 217-231 - 2017
- [c18]Min Lu, Feilong Bao, Guanglai Gao:
Language Model for Mongolian Polyphone Proofreading. CCL 2017: 461-471 - [c17]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 - [c16]Yonghe Wang, Feilong Bao, Hongwei Zhang, Guanglai Gao:
Research on Mongolian Speech Recognition Based on FSMN. NLPCC 2017: 243-254 - 2016
- [j2]Xiangdong Su, Guanglai Gao, Hongxi Wei, Feilong Bao:
A knowledge-based recognition system for historical Mongolian documents. Int. J. Document Anal. Recognit. 19(3): 221-235 (2016) - [j1]Jing Wu, Hongxu Hou, Feilong Bao, Yupeng Jiang:
Template-Based Model for Mongolian-Chinese Machine Translation. J. Adv. Comput. Intell. Intell. Informatics 20(6): 893-901 (2016) - [c15]Xiaofei Yan, Feilong Bao, Hongxi Wei, Xiangdong Su:
A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters. CCL 2016: 103-113 - [c14]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition System with Rich Features. COLING 2016: 505-512 - [c13]Hongwei Zhang, Feilong Bao, Guanglai Gao, Hui Zhang:
Comparison on Neural Network based acoustic model in Mongolian speech recognition. IALP 2016: 1-5 - [c12]Rui Liu, Feilong Bao, Guanglai Gao, Weihua Wang:
Mongolian prosodic phrase prediction using suffix segmentation. IALP 2016: 250-253 - [c11]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks. ICTAI 2016: 495-500 - [c10]Weihua Wang, Feilong Bao, Guanglai Gao:
Cyrillic Mongolian Named Entity Recognition with Rich Features. NLPCC/ICCPOL 2016: 497-505 - 2015
- [c9]Hui Zhang, Feilong Bao, Guanglai Gao:
Mongolian Speech Recognition Based on Deep Neural Networks. CCL 2015: 180-188 - [c8]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition using suffixes segmentation. IALP 2015: 169-172 - [c7]Xiangdong Su, Guanglai Gao, Hongxi Wei, Feilong Bao:
Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies. ICONIP (2) 2015: 536-544 - [c6]Xiangdong Su, Guanglai Gao, Yupeng Jiang, Jing Wu, Feilong Bao:
Mongolian Inflection Suffix Processing in NLP: A Case Study. NLPCC 2015: 347-352 - [c5]Jing Wu, Hongxu Hou, Feilong Bao, Yupeng Jiang:
Template-based model for Mongolian - Chinese machine translation. TAAI 2015: 352-357 - 2014
- [c4]Xiangdong Su, Guanglai Gao, Weihua Wang, Feilong Bao, Hongxi Wei:
Character Segmentation for Classical Mongolian Words in Historical Documents. CCPR (2) 2014: 464-473 - 2013
- [c3]Feilong Bao, Guanglai Gao, Xueliang Yan, Weihua Wang:
Segmentation-based Mongolian LVCSR approach. ICASSP 2013: 8136-8139 - [c2]Feilong Bao, Guanglai Gao, Xueliang Yan, Hongwei Wang:
Language Model for Cyrillic Mongolian to Traditional Mongolian Conversion. NLPCC 2013: 13-18 - 2012
- [c1]Feilong Bao, Guanglai Gao, Yulai Bao, Xiangdong Su:
The Research on Mongolian Spoken Term Detection Based on Confusion Network. CCPR 2012: 606-612
Coauthor Index
[j9] [c73] [c72] [c70] [c69] [c67] [c65] [i7] [i6] [j8] [c61] [c60] [c59] [i5] [c57] [c55] [c54] [c53] [c52] [i4] [j5] [c51] [c50] [c48] [c47] [j4] [c46] [c44] [c43] [c40] [c38] [i3] [i2] [j3] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i1] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [c2] [c1]
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last updated on 2024-12-13 20:06 CET by the dblp team
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