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2020 – today
- 2024
[j23]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)- [j22]Rui Liu
, Jinhua Zhang, Guanglai Gao:
Multi-space channel representation learning for mono-to-binaural conversion based audio deepfake detection. Inf. Fusion 105: 102257 (2024) - [j21]Rui Liu, Yifan Hu, Haolin Zuo, Zhaojie Luo, Longbiao Wang, Guanglai Gao:
Text-to-Speech for Low-Resource Agglutinative Language With Morphology-Aware Language Model Pre-Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1075-1087 (2024) - [j20]Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:
Controllable Accented Text-to-Speech Synthesis With Fine and Coarse-Grained Intensity Rendering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2188-2201 (2024) - [c118]Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao:
Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals. ACL (Findings) 2024: 1982-1994 - [c117]Fujun Zhang, Xiangdong Su, Jiang Li, Rong Yan, Guanglai Gao:
EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning. LREC/COLING 2024: 6216-6227 - [c116]Tianxin Zhao, Yingxin Liu, Xiangdong Su, Jiang Li, Guanglai Gao:
Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation. LREC/COLING 2024: 6980-6991 - [c115]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
L\²GC: Lorentzian Linear Graph Convolutional Networks for Node Classification. LREC/COLING 2024: 9988-9998 - [c114]Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao:
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation. LREC/COLING 2024: 16727-16737 - [c113]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
Fully Hyperbolic Rotation for Knowledge Graph Embedding. ECAI 2024: 1615-1622 - [c112]Pengkai Yin, Rui Liu, Feilong Bao, Guanglai Gao:
Multi-Perspective Transfer Learning for Automatic MOS Prediction of Low Resource Language. IALP 2024: 286-290 - [c111]Yuan Fang, Hao Li, Xueliang Zhang, Fei Chen, Guanglai Gao:
Cross-Attention-Guided Wavenet for Mel Spectrogram Reconstruction in The ICASSP 2024 Auditory EEG Challenge. ICASSP Workshops 2024: 7-8 - [c110]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 - [c109]Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao:
MEMix: Improving HMER with Diverse Formula Structure Augmentation. ICME 2024: 1-6 - [c108]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 - [c107]Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao:
Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection. IJCNN 2024: 1-8 - [c106]Qi Fan, Yutong Li, Yi Xin, Xinyu Cheng, Guanglai Gao, Miao Ma:
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples. MRAC@MM 2024: 72-77 - [c105]Qi Fan, Haolin Zuo, Rui Liu, Zheng Lian, Guanglai Gao:
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios. MRAC@MM 2024: 116-124 - [i23]Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao:
L2GC: Lorentzian Linear Graph Convolutional Networks For Node Classification. CoRR abs/2403.06064 (2024) - [i22]Jiang Li, Xiangdong Su, Yeyun Gong, Guanglai Gao:
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding. CoRR abs/2404.09155 (2024) - [i21]Yuan Zhao, Zhenqi Jia, Rui Liu, De Hu, Feilong Bao, Guanglai Gao:
MCDubber: Multimodal Context-Aware Expressive Video Dubbing. CoRR abs/2408.11593 (2024) - [i20]Qi Fan, Yutong Li, Yi Xin, Xinyu Cheng, Guanglai Gao, Miao Ma:
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples. CoRR abs/2409.04447 (2024) - 2023
- [j19]Honglin Qu, Xiangdong Su, Yonghe Wang, Xiang Hao, Guanglai Gao:
Noise-Separated Adaptive Feature Distillation for Robust Speech Recognition. IEEE Signal Process. Lett. 30: 763-767 (2023) - [j18]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) - [c104]Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao:
How Well Apply Simple MLP to Incomplete Utterance Rewriting? ACL (2) 2023: 1567-1576 - [c103]Jiang Li, Xiangdong Su, Guanglai Gao:
TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline. ACL (1) 2023: 15460-15474 - [c102]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 - [c101]Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao:
TableSF: A Structural Bias Framework for Table-To-Text Generation. ICANN (9) 2023: 401-412 - [c100]Haolin Zuo, Rui Liu, Jinming Zhao, Guanglai Gao, Haizhou Li:
Exploiting Modality-Invariant Feature for Robust Multimodal Emotion Recognition with Missing Modalities. ICASSP 2023: 1-5 - [c99]Rui Liu, Haolin Zuo, De Hu, Guanglai Gao, Haizhou Li:
Explicit Intensity Control for Accented Text-to-speech. INTERSPEECH 2023: 22-26 - [c98]Rui Liu, Jinhua Zhang, Guanglai Gao, Haizhou Li:
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion. INTERSPEECH 2023: 3999-4003 - [c97]Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao:
Few-Shot Table-to-Text Generation with Structural Bias Attention. PRICAI (2) 2023: 349-354 - [i19]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) - [i18]Rui Liu, Jinhua Zhang, Guanglai Gao, Haizhou Li:
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion. CoRR abs/2305.16353 (2023) - [i17]Qi Fan, Haolin Zuo, Rui Liu, Zheng Lian, Guanglai Gao:
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Realistic Incomplete Data Scenarios. CoRR abs/2311.16114 (2023) - 2022
- [j17]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) - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao:
QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings. NLPCC (1) 2022: 209-220 - [c90]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 - [i16]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. CoRR abs/2206.07229 (2022) - [i15]Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:
Controllable Accented Text-to-Speech Synthesis. CoRR abs/2209.10804 (2022) - [i14]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) - [i13]Muhan Na, Rui Liu, Fei Long, Guanglai Gao:
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion. CoRR abs/2209.11963 (2022) - [i12]Haolin Zuo, Rui Liu, Jinming Zhao, Guanglai Gao, Haizhou Li:
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities. CoRR abs/2210.15359 (2022) - [i11]Yifan Hu, Rui Liu, Guanglai Gao, Haizhou Li:
FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis. CoRR abs/2210.15360 (2022) - [i10]Rui Liu, Haolin Zuo, De Hu, Guanglai Gao, Haizhou Li:
Explicit Intensity Control for Accented Text-to-speech. CoRR abs/2210.15364 (2022) - 2021
- [j16]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) - [j15]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) - [j14]Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao:
Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2878-2887 (2021) - [c89]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 - [c88]Yonghe Wang, Feilong Bao, Hui Zhang, Guanglai Gao:
Joint Alignment Learning-Attention Based Model for Grapheme-to-Phoneme Conversion. ICASSP 2021: 7788-7792 - [c87]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 - [c86]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 - [i9]Hao Li, Xueliang Zhang, Guanglai Gao:
Guided Training: A Simple Method for Single-channel Speaker Separation. CoRR abs/2103.14330 (2021) - 2020
- [j13]Yun Jing, Zhiwei Xu, Guanglai Gao:
Context-Driven Image Caption With Global Semantic Relations of the Named Entities. IEEE Access 8: 143584-143594 (2020) - [j12]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) - [c85]Hao Li, Xueliang Zhang, Guanglai Gao:
Robust Speech Dereverberation Based on WPE and Deep Learning. APSIPA 2020: 52-56 - [c84]Xiao Cheng, Weihua Wang, Feilong Bao, Guanglai Gao:
MTNER: A Corpus for Mongolian Tourism Named Entity Recognition. CCMT 2020: 11-23 - [c83]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 - [c82]Fan Yang, Feilong Bao, Guanglai Gao:
Online Handwritten Mongolian Character Recognition using CMA-MOHR and Coordinate Processing. IALP 2020: 30-33 - [c81]Hao Li, Xueliang Zhang, Guanglai Gao:
Beamformed Feature for Learning-based Dual-channel Speech Separation. ICASSP 2020: 4722-4726 - [c80]Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li:
Teacher-Student Training For Robust Tacotron-Based TTS. ICASSP 2020: 6274-6278 - [c79]Xiang Hao, Xiangdong Su, Zhiyu Wang, Qiang Zhang, Huali Xu, Guanglai Gao:
Snr-Based Teachers-Student Technique For Speech Enhancement. ICME 2020: 1-6 - [c78]Huali Xu, Xiangdong Su, Meng Wang, Xiang Hao, Guanglai Gao:
An Edge Information and Mask Shrinking Based Image Inpainting Approach. ICME 2020: 1-6 - [c77]Rong Yan, Qi Chen, Guanglai Gao:
Dataless Text Classification with Pseudo Topic Representation. ICTAI 2020: 1255-1259 - [c76]Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li:
Sub-Band Knowledge Distillation Framework for Speech Enhancement. INTERSPEECH 2020: 2687-2691 - [c75]Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao:
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning. INTERSPEECH 2020: 4626-4630 - [c74]Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li:
WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss. Odyssey 2020: 245-251 - [c73]Rong Yan, Guanglai Gao:
Topic Analysis by Exploring Headline Information. WISE (2) 2020: 129-142 - [i8]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) - [i7]Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li:
Sub-band Knowledge Distillation Framework for Speech Enhancement. CoRR abs/2005.14435 (2020) - [i6]Xiang Hao, Xiangdong Su, Zhiyu Wang, Qiang Zhang, Huali Xu, Guanglai Gao:
SNR-based teachers-student technique for speech enhancement. CoRR abs/2005.14441 (2020) - [i5]Huali Xu, Xiangdong Su, Meng Wang, Xiang Hao, Guanglai Gao:
An Edge Information and Mask Shrinking Based Image Inpainting Approach. CoRR abs/2006.06196 (2020) - [i4]Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li:
Expressive TTS Training with Frame and Style Reconstruction Loss. CoRR abs/2008.01490 (2020) - [i3]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
- [j11]Weihua Wang, Feilong Bao, Guanglai Gao:
Learning Morpheme Representation for Mongolian Named Entity Recognition. Neural Process. Lett. 50(3): 2647-2664 (2019) - [c72]Hao Li, Xueliang Zhang, Guanglai Gao:
Dynamic-attention based Encoder-decoder model for Speaker Extraction with Anchor speech. APSIPA 2019: 297-301 - [c71]Rong Yan, Guanglai Gao:
Pseudo Topic Analysis for Boosting Pseudo Relevance Feedback. APWeb/WAIM (1) 2019: 345-361 - [c70]Rui Liu, Jingdong Li, Feilong Bao, Guanglai Gao:
The IMU speech synthesis entry for Blizzard Challenge 2019. Blizzard Challenge 2019 - [c69]Mingyan Tan, Feilong Bao, Guanglai Gao, Weihua Wang:
An Attention-Based Approach for Mongolian News Named Entity Recognition. CCL 2019: 424-435 - [c68]Shijie Wang, Feilong Bao, Guanglai Gao:
Research on New Event Detection Methods for Mongolian News. IALP 2019: 498-503 - [c67]Daoerji Fan, Guanglai Gao, Huijuan Wu:
Sub-Word Based Mongolian Offline Handwriting Recognition. ICDAR 2019: 246-253 - [c66]Yanke Kang, Hongxi Wei, Hui Zhang, Guanglai Gao:
Woodblock-Printing Mongolian Words Recognition by Bi-LSTM with Attention Mechanism. ICDAR 2019: 910-915 - [c65]Xiangdong Su, Huali Xu, Ying Kang, Xiang Hao, Guanglai Gao, Yue Zhang:
Improving Text Image Resolution using a Deep Generative Adversarial Network for Optical Character Recognition. ICDAR 2019: 1193-1199 - [c64]Hongxi Wei, Guanglai Gao:
A Holistic Recognition Approach for Woodblock-Print Mongolian Words Based on Convolutional Neural Network. ICIP 2019: 2726-2730 - [c63]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 - [c62]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 - [c61]Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao, Min Lu:
Morphological Knowledge Guided Mongolian Constituent Parsing. ICONIP (3) 2019: 363-375 - [c60]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 - [c59]Weihua Wang, Rashel Fam, Feilong Bao, Yves Lepage, Guanglai Gao:
Neural Morphological Segmentation Model for Mongolian. IJCNN 2019: 1-7 - [c58]Min Lu, Feilong Bao, Guanglai Gao, Weihua Wang, Hui Zhang:
An Automatic Spelling Correction Method for Classical Mongolian. KSEM (2) 2019: 201-214 - [c57]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 - [c56]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 - [c55]Min Lu, Feilong Bao, Guanglai Gao:
A Context-Free Spelling Correction Method for Classical Mongolian. NLPCC (2) 2019: 550-559 - [c54]Xiangdong Su, Huali Xu, Yue Zhang, Yanke Kang, Guanglai Gao, Batushiren:
An End-to-End Preprocessor Based on Adversiarial Learning for Mongolian Historical Document OCR. PRICAI (3) 2019: 266-272 - [i2]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
- [c53]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 - [c52]Linyan Shi, Feilong Bao, Yonghe Wang, Guanglai Gao:
Research on Transfer Learning for Khalkha Mongolian Speech Recognition Based on TDNN. IALP 2018: 85-89 - [c51]Hui Zhang, Xueliang Zhang, Guanglai Gao:
Training Supervised Speech Separation System to Improve STOI and PESQ Directly. ICASSP 2018: 5374-5378 - [c50]Hongxi Wei, Ya Wen, Weiyuan Wang, Guanglai Gao:
Convolutional Neural Network for Machine-Printed Traditional Mongolian Font Recognition. ICONIP (5) 2018: 265-274 - [c49]Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao:
Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models. ICONIP (5) 2018: 558-569 - [c48]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 - [c47]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 - [c46]Zhinan Liu, Feilong Bao, Guanglai Gao, Suburi:
Mongolian Grapheme to Phoneme Conversion by Using Hybrid Approach. NLPCC (1) 2018: 40-50 - [c45]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
- [c44]Min Lu, Feilong Bao, Guanglai Gao:
Language Model for Mongolian Polyphone Proofreading. CCL 2017: 461-471 - [c43]Yunxue Shao, Jiantao Zhou, Guanglai Gao:
Supervised Feature Learning via Within-Class Reconstruction. ICDAR 2017: 149-154 - [c42]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 - [c41]Hongxi Wei, Hui Zhang, Guanglai Gao:
Representing word image using visual word embeddings and RNN for keyword spotting on historical document images. ICME 2017: 1368-1373 - [c40]Hongxi Wei, Hui Zhang, Guanglai Gao, Xiangdong Su:
Using Word Mover's Distance with Spatial Constraints for Measuring Similarity Between Mongolian Word Images. ICONIP (4) 2017: 192-201 - [c39]Rong Yan, Guanglai Gao:
Pseudo-Based Relevance Analysis for Information Retrieval. ICTAI 2017: 1259-1266 - [c38]Hui Zhang, Xueliang Zhang, Guanglai Gao:
Multi-Target Ensemble Learning for Monaural Speech Separation. INTERSPEECH 2017: 1958-1962 - [c37]Yonghe Wang, Feilong Bao, Hongwei Zhang, Guanglai Gao:
Research on Mongolian Speech Recognition Based on FSMN. NLPCC 2017: 243-254 - [c36]Hongxi Wei, Hui Zhang, Guanglai Gao:
Integrating Visual Word Embeddings into Translation Language Model for Keyword Spotting on Historical Mongolian Document Images. PCM (2) 2017: 616-625 - [i1]Hao Li, Xueliang Zhang, Hui Zhang, Guanglai Gao:
Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising. CoRR abs/1708.08251 (2017) - 2016
- [j10]Mingxin Yu, Yingzi Lin, Jeffrey Breugelmans, Xiangzhou Wang, Yu Wang, Guanglai Gao, Xiaoying Tang:
A spatial-temporal trajectory clustering algorithm for eye fixations identification. Intell. Data Anal. 20(2): 377-393 (2016) - [j9]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) - [j8]Yunxue Shao, Guanglai Gao, Chunheng Wang:
Nonlinear discriminant analysis based on vanishing component analysis. Neurocomputing 218: 172-184 (2016) - [j7]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 Lang. Process. 24(6): 1066-1078 (2016) - [c35]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition System with Rich Features. COLING 2016: 505-512 - [c34]Hongwei Zhang, Feilong Bao, Guanglai Gao, Hui Zhang:
Comparison on Neural Network based acoustic model in Mongolian speech recognition. IALP 2016: 1-5 - [c33]Rui Liu, Feilong Bao, Guanglai Gao, Weihua Wang:
Mongolian prosodic phrase prediction using suffix segmentation. IALP 2016: 250-253 - [c32]Hong Su, Hui Zhang, Xueliang Zhang, Guanglai Gao:
Convolutional neural network for robust pitch determination. ICASSP 2016: 579-583 - [c31]Wei Wu, Guanglai Gao:
A novel image classifier based on Gaussian mixture language model. ICASSP 2016: 1312-1316 - [c30]Yunxue Shao, Guanglai Gao, Chunheng Wang:
A Connection Reduced Network for Similar Handwritten Chinese Character Discrimination. ICFHR 2016: 54-59 - [c29]Daoerji Fan, Guanglai Gao:
DNN-HMM for Large Vocabulary Mongolian Offline Handwriting Recognition. ICFHR 2016: 72-77 - [c28]Hongxi Wei, Guanglai Gao, Xiangdong Su:
LDA-Based Word Image Representation for Keyword Spotting on Historical Mongolian Documents. ICONIP (4) 2016: 432-441 - [c27]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks. ICTAI 2016: 495-500 - [c26]Weihua Wang, Feilong Bao, Guanglai Gao:
Cyrillic Mongolian Named Entity Recognition with Rich Features. NLPCC/ICCPOL 2016: 497-505 - 2015
- [j6]Wei Wu, Guanglai Gao, Jianyun Nie:
一种融合语义距离的最近邻图像标注方法 (Combination of Nearest Neighbor with Semantic Distance for Image Annotation). 计算机科学 42(1): 297-302 (2015) - [j5]Rong Yan, Guanglai Gao:
基于最大边缘相关的伪相关反馈方法 (Pseudo Relevance Feedback Based on Maximal Marginal Relevance). 计算机科学 42(6): 276-278 (2015) - [c25]Hui Zhang, Feilong Bao, Guanglai Gao:
Mongolian Speech Recognition Based on Deep Neural Networks. CCL 2015: 180-188 - [c24]Hui Zhang, Xueliang Zhang, Guanglai Gao:
Document summarization based on semantic representations. IALP 2015: 152-155 - [c23]Weihua Wang, Feilong Bao, Guanglai Gao:
Mongolian Named Entity Recognition using suffixes segmentation. IALP 2015: 169-172 - [c22]Hui Zhang, Xueliang Zhang, Shuai Nie, Guanglai Gao, Wenju Liu:
A pairwise algorithm for pitch estimation and speech separation using deep stacking network. ICASSP 2015: 246-250 - [c21]Hongxi Wei, Guanglai Gao, Xiangdong Su:
A multiple instances approach to improving keyword spotting on historical Mongolian document images. ICDAR 2015: 121-125 - [c20]Wei Wu, Guanglai Gao:
Nearest Neighbor with Multi-feature Metric for Image Annotation. ICONIP (4) 2015: 481-488 - [c19]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 - [c18]Xiangdong Su, Guanglai Gao, Yupeng Jiang, Jing Wu, Feilong Bao:
Mongolian Inflection Suffix Processing in NLP: A Case Study. NLPCC 2015: 347-352 - 2014
- [j4]Hongxi Wei, Guanglai Gao:
A keyword retrieval system for historical Mongolian document images. Int. J. Document Anal. Recognit. 17(1): 33-45 (2014) - [j3]Baoqi Huang, Wei Wu, Guanglai Gao, Tao Zhang:
Recognizing Boundaries in Wireless Sensor Networks Based on Local Connectivity Information. Int. J. Distributed Sens. Networks 10 (2014) - [j2]Wei Wu, Guanglai Gao, Jian-Yun Nie:
A Semantic Distance Based Nearest Neighbor Method for Image Annotation. J. Comput. 9(10): 2274-2280 (2014) - [c17]Xiangdong Su, Guanglai Gao, Weihua Wang, Feilong Bao, Hongxi Wei:
Character Segmentation for Classical Mongolian Words in Historical Documents. CCPR (2) 2014: 464-473 - [c16]Xueliang Zhang, Hui Zhang, Guanglai Gao:
Missing feature reconstruction methods for robust speaker identification. EUSIPCO 2014: 1482-1486 - 2013
- [j1]Shuai Liu, Xiaochun Cheng, Caihe Lan, Weina Fu, Jiantao Zhou, Qianzhong Li, Guanglai Gao:
Fractal property of generalized M-set with rational number exponent. Appl. Math. Comput. 220: 668-675 (2013) - [c15]Xiangdong Su, Guanglai Gao, Xueliang Yan:
Development of Traditional Mongolian Dependency Treebank. CCL 2013: 247-256 - [c14]Xiangdong Su, Guanglai Gao, Xueliang Yan:
Dependency Parsing for Traditional Mongolian. IALP 2013: 181-184 - [c13]Feilong Bao, Guanglai Gao, Xueliang Yan, Weihua Wang:
Segmentation-based Mongolian LVCSR approach. ICASSP 2013: 8136-8139 - [c12]Hongxi Wei, Guanglai Gao:
Word Spotting Application in Historical Mongolian Document Images. ICIC (1) 2013: 265-274 - [c11]Feilong Bao, Guanglai Gao, Xueliang Yan, Hongwei Wang:
Language Model for Cyrillic Mongolian to Traditional Mongolian Conversion. NLPCC 2013: 13-18 - 2012
- [c10]Feilong Bao, Guanglai Gao, Yulai Bao, Xiangdong Su:
The Research on Mongolian Spoken Term Detection Based on Confusion Network. CCPR 2012: 606-612 - [c9]Xueliang Yan, Guanglai Gao, Xiangdong Su, Hongxi Wei, Xueliang Zhang, Qianqian Lu:
Hidden Markov Model for Term Weighting in Verbose Queries. CLEF 2012: 82-87 - [c8]Xueliang Yan, Wei Wu, Guanglai Gao, Qianqian Lu:
IMU @ ImageCLEF 2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - 2011
- [c7]Xirimo Bao, Guanglai Gao:
Acoustic model topology optimization using evolutionary methods. ACPR 2011: 355-361 - [c6]Hongxi Wei, Guanglai Gao, Yulai Bao:
A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur. ICDAR 2011: 88-92 - [c5]Guanglai Gao, Xiangdong Su, Hongxi Wei, Yeyun Gong:
Classical Mongolian Words Recognition in Historical Document. ICDAR 2011: 692-697 - 2010
- [c4]Xiangdong Su, Xueliang Yan, Guanglai Gao, Hongxi Wei:
IMU Experiment in IR4QA at NTCIR-8. NTCIR 2010: 94-100
2000 – 2009
- 2008
- [c3]Wu Wei, Guanglai Gao:
An Application of Neuro-fuzzy System in Remote Sensing Image Classification. CSSE (1) 2008: 1069-1072 - [c2]Guanglai Gao, Wei Jin, Fei Long, Hongxu Hou:
A First Investigation on Mongolian Information Retrieval. EVIA@NTCIR 2008 - 2006
- [c1]Guanglai Gao, Biligetu, Nabuqing, Shuwu Zhang:
A Mongolian Speech Recognition System Based on HMM. ICIC (2) 2006: 667-676
Coauthor Index
[j23] [c115] [c113] [c112] [c110] [c108] [c107] [i23] [i21] [j18] [c102] [c101] [c97] [i19] [c96] [c95] [c94] [c93] [c90] [i14] [j16] [c89] [c88] [c87] [c86] [j12] [c84] [c83] [c82] [c80] [c74] [i8] [i3] [j11] [c70] [c69] [c68] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i2] [c53] [c52] [c49] [c47] [c46] [c45] [c44] [c42] [c37] [j9] [c35] [c34] [c33] [c27] [c26] [c25] [c23] [c19] [c18] [c17] [c13] [c11] [c10]
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