Longbiao Wang
王龙标 教授
人工智能学院 博导/硕导
longbiao_wang@tju.edu.cn
天津大学北洋园校区计算机学院55号楼B311
代表性合作单位：
Publications
Journals（期刊）
1. Yiwei Wei, Maomao Duan, Hengyang Zhou, Zhiyang Jia, Zengwei Gao, Longbiao Wang* “Towards Multimodal Sarcasm Detection via Label-aware Graph Contrastive Learning with Back-translation Augmentation” Knowledge-Based Systems (KBS)
2. Zhongjie Li , Gaoyan Zhang *, Shogo Okada , Longbiao Wang , Bin Zhao , Jianwu Dang “MBCFNet: A Multimodal Brain–Computer Fusion Network for human intention recognition” Knowledge-Based Systems (KBS)
3. Xiao Wei; Yuhang Li; Yuke Si; Longbiao Wang*; Xiaobao Wang; Jianwu Dang “A Prompt-Based Hierarchical Pipeline for Cross-Domain Slot Filling” in IEEE/ACM Transactions on Audio, Speech, and Language Processing
4. Wei, Yiwei*, Shaozu Yuan, Meng Chen, Xin Shen, Longbiao Wang, Lei Shen and Zhiling Yan. “MPP-net: Multi-perspective perception network for dense video captioning.” Neurocomputing 552 (2023): 126523.
5. Y. Lin, L. Wang*, Y. Yang and J. Dang*, "CFDRN: A Cognition-Inspired Feature Decomposition and Recombination Network for Dysarthric Speech Recognition," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 3824-3836
6. Yuqin Lin, Jianwu Dang, Longbiao Wang*, Sheng Li, Chenchen Ding. "Disordered speech recognition considering low resources and abnormal articulation", Proc. of Speech Communication.
7. LI, Nan and Wang, Longbiao* and Ge, Meng* and Unoki, Masashi and Li, Sheng and Dang, Jianwu. "Robust Voice Activity Detection Using an Auditory-Inspired Masked Modulation Encoder Based Convolutional Attention Network", Proc. of Speech Communication.
8. Y. Gao, L. Wang*, J. Liu, J. Dang and S. Okada, "Adversarial Domain Generalized Transformer for Cross-Corpus Speech Emotion Recognition", Proc. of TAFFC:1-12.
9. Yuchun Shu, Haoneng Luo, Shiliang Zhang, Longbiao Wang*, Jianwu Dang, "A CIF-Based Speech Segmentation Method for Streaming E2E ASR", IEEE Signal Processing Letters, 2023, 30: 344-348.
10. Lin, Y., Zhang, S., Gao, Z., Wang, L., Yang, Y. and Dang, J. (2023), "Wav2vec-MoE: An unsupervised pre-training and adaptation method for multi-accent ASR. "Electron. Lett., 59: e12823. https://doi.org/10.1049/ell2.12823
11. Zhongjie Li, Gaoyan Zhang*, Longbiao Wang, Jianguo Wei and Jianwu Dang*. “Emotion recognition using spatial-temporal EEG features through convolutional graph attention network”. Journal of Neural Engineering, 2023, 20(1).( DOI 10.1088/1741-2552/acb79e).
12. Hanyi Zhang, Longbiao Wang*, Kong Aik Lee*, Meng Liu, Jianwu Dang, Helen Meng, "Meta-Generalization for Domain-Invariant Speaker Verification," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1024-1036, 2023, doi: 10.1109/TASLP.2023.3244518.
13. Siqing Qin, Longbiao Wang*, Sheng Li*, Jianwu Dang, Lixin Pan, "Improving Low-resource Tibetan End-to-end ASR by Multilingual and Multilevel Unit Modeling", EURASIP Journal on Audio, Speech, and Music Processing, 2022 (SCI三区) . 2022,2022(1).(DOI10.1186/s13636-021-00233-4).
14. Lili Guo, Longbiao Wang*, Jianwu Dang*, Yahui Fu, and Jiaxing Liu, “Emotion Recognition with Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information”, in IEEE MultiMedia,2022,28(2):94-103.(doi: 10.1109/MMUL.2022.3161411).
15. Yahui Fu, Shogo Okada*, Longbiao Wang*, Lili Guo, Yaodong Song, Jiaxing Liu and Jianwu Dang*, “Context and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition”,
16. Jaxing Liu, Longbiao Wang*, Zhilei Liu, Yaodong Song, Lili Guo and Jianwu Dang, “Representation learning with emotional latent information for speech emotion recognition”, submitted to IEEE/ACM Transactions on Audio Speech and Language Processing
17. Lili Guo, Longbiao Wang*, Jianwu Dang*, Eng Siong Chng, and Seiichi Nakagawad,“Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition”[J]. Speech Communication, 2022, 136: 118-127.
18. Q. Yu*, Y. Yao, L. Wang*, H. Tang, J. Dang, K. Tan, "Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning", IEEE Transactions on Neural Networks and Learning Systems (IF = 11.7; Accepted).
19. Q. Yu*, S. Li, H. Tang, L. Wang, J. Dang, K. Tan, "Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning", IEEE Transactions on Cybernetics (IF = 10.4; Accepted):2020.PP(99):1-13
20. Meng Liu, Longbiao Wang*, Jianwu Dang, Kong Aik Lee, Seiichi Nakagawa, “Replay attack detection using variable-frequency resolution phase and magnitude features”, Computer Speech & Language, Volume 66,2021,101161.
21. K. Phapatanaburi, Kasidit kokkhunthod, L. Wang et al., “Brainwave Classification for Character-Writing Application Using EMD-Based GMM and KELM Approaches”, Computers, Materials & Continua, vol.66, no.3, pp. 3029-3043, 2021 (DOI:10.32604/cmc.2021.014433)
22. Chunlei Liu, Longbiao Wang, Jianwu Dang, “Deep Learning-Based Amplitude Fusion for Speech Dereverberation, Discrete Dynamics in Nature and Society”, Discrete Dynamics in Nature and Society, 2020 (DOI:10.1155/ACCESS.2020.4618317)2020:PP.1-14
23. L. Guo, L. Wang*, J. Dang, Z. Liu, H. Guan, "Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine", IEEE Access, 2019 (IF=4.098) (DOI: 10.1109/ACCESS.2019.2921390)
24. Z. Oo, L. Wang*, K. Phapatanaburi, M. Liu, S. Nakagawa, M. Iwahashi and J. Dang, "Replay attack detection with auditory filter-based relative phase features", EURASIP Journal on Audio, Speech, and Music Processing, 2019(1): 8, 2019 (IF=3.0)
25. Z. Oo, L. Wang*, K. Phapatanaburi, S. Nakagawa, M. Iwahashi and J. Dang, "Phase and reverberation aware DNN for distant-talking speech enhancement", Multimedia Tools and Applications, 77(14): 18865-18880, 2018 (IF=1.5).
26. L. Wang*, S. Nakagawa, Z. Zhang, Y. Yoshida and Y. Kawakami, "Spoofing Speech Detection Using Modified Relative Phase Information", IEEE J. Sel. Topics Signal Processing, 11(4): 660-670, 2017 (IF=6.8).
27. K. Phapatanaburi, L. Wang*, Z. Oo, et al. "Noise robust voice activity detection using joint phase and magnitude based feature enhancement", Journal of Ambient Intelligence & Humanized Computing, 8(9): 1-15, 2017 (IF=1.6).
28. B. Ren, L. Wang*, L. Lu, Y. Ueda and A. Kai, "Combination of bottleneck feature extraction and dereverberation for distant-talking speech recognition", Multimedia Tools and Applications, 75(9): 5093-5108, 2016 (IF=1.5) (DOI: 10.1007/s11042-015-2849-1).
29. K. Phapatanaburi, L. Wang*, R. Sakagami, Z. Zhang, X. Li and M. Iwahashi, "Distant-talking accent recognition by combining GMM and DNN", Multimedia Tools and Applications, 75(9): 5109-5124, 2016 (IF=1.5)(DOI: 10.1007/s11042-015-2935-4).
30. Y. Ueda, L. Wang*, A. Kai, X. Xiao, E. Chng and H. Li, "Single-channel dereverberation for distant-talking speech recognition by combining denoising autoencoder and temporal structure normalization", Journal of Signal Processing Systems, 82(2): 151-161, 2016 (IF=0.9)(DOI: 10.1007/s11265-015-1007-3).
31. Y. Ueda, L. Wang*, A. Kai and B. Ren, "Environment-dependent denoising autoencoder for distant-talking speech recognition", Eurasip Journal on Advances in Signal Processing, 2015(1): 1-11, 2015 (IF=2.0)(DOI: 10.1186/s13634-015-0278-y).
32. Z. Zhang, L. Wang*, A. Kai, K. Odani, W. Li and M. Iwahashi, "Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification", Eurasip Journal on Audio, Music and Speech Processing, 2015(1): 1-13, 2015 (IF=3.0)(DOI: 10.1186/s13636-015-0056-7).
33. W. Li, L. Wang*, Y. Zhou, J. Dines, H. Bourlard and Q. Liao, "Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array", IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(12): 2244-2255, 2014 (IF=2.5).
34. Y. Jiang, K. Lee, L. Wang*. "PLDA for Speaker Verification in the I-supervector Spaces", Eurasip Journal on Audio, Music and Speech Processing, 2014:29, pp. 1-13, 2014 (IF=3.0).
35. Z. Zhang, L. Wang* and A. Kai, "Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation", Eurasip Journal on Audio, Music and Speech Processing, 2014:15, pp. 1-12, 2014 (IF=3.0).
36. W. Li, L. Wang, Y. Zhou, H. Bourlard and Q. Liao*, "Robust log-energy estimation and its dynamic change enhancement for in-car speech recognition", IEEE Transactions on Audio, Speech and Language Processing, 21(8): 1689-1698, 2013 (IF=2.5).
37. S. Nakagawa, L. Wang* and S. Ohtsuka, "Speaker identification and verification by combining MFCC and phase information", IEEE Transactions on Audio, Speech and Language Processing, 20(4): 1085-1095, May 2012 (IF=2.5).
38. L. Wang*, K. Odani and A. Kai, "Dereverberation and Denoising Based on Generalized Spectral Subtraction by Multi-channel LMS Algorithm Using a Small-scale Microphone Array", Eurasip Journal on Advanced in Signal Processing, 2012(1):12, 2012 (IF=2.0).
39. Y. Jiang*, Z. Tang and L. Wang, "Identification of a distant speaker and its robustness", Chinese Journal of Electronics, 20(2): 278-282, 2011 (IF=0.5).
40. L. Wang*, N. Kitaoka and S. Nakagawa, "Distant-talking speech recognition based on spectral subtraction by multi-channel LMS algorithm", IEICE Trans. on Information and Systems, 94(3): 659-667, 2011 (IF=0.4).
41. L. Wang*, K. Minami, K. Yamamoto and S. Nakagawa, "Speaker recognition by combining MFCC and phase information in noisy conditions", IEICE Trans. on Information and Systems, 93(9): 2397-2406, 2010 (IF=0.4).
42. L. Wang*, S. Nakagawa and N. Kitaoka, "Robust speech recognition by combining short-term and long-term spectrum based position-dependent CMN with conventional CMN", IEICE Trans. on Information and Systems, 91(3): 457-466, 2008 (IF=0.4).
43. L. Wang*, N. Kitaoka and S. Nakagawa, "Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM", Speech Communication, 49(6): 501-513, 2007 (IF=1.8).
44. L. Wang*, N. Kitaoka and S. Nakagawa, "Robust Distant Speech Recognition by Combining Multiple Microphone-array Processing with Position-dependent CMN", EURASIP Journal on Applied Signal Processing, 2006(1): 1-11, 2006 (IF=2.0).
Conference（国际会议论文）
1. Rui Cao , Tianrui Wang , Meng Ge,∗ , Andong Li , Longbiao Wang,∗ , Jianwu Dang , Yungang Jia “VoiCor: A Residual Iterative Voice Correction Framework for Monaural Speech Enhancement” INTERSPEECH 2024
2. Yuqin Lin,Longbiao Wang*,Jianwu Dang*, Nobuaki Minematsu,” Exploring Pre-trained Speech Model for Articulatory Feature Extraction in Dysarthric Speech Using ASR” INTERSPEECH 2024
3. Cheng Gong , Erica Cooper, Xin Wang , Chunyu Qiang , Mengzhe Geng , Dan Wells , Longbiao Wang,∗ , Jianwu Dang , Marc Tessier , Aidan Pine , Korin Richmond , Junichi Yamagishi “An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios ” INTERSPEECH 2024
4. Yuchun Shu , Bo Hu , Yifeng He , Hao Shi , Longbiao Wang, Jianwu Dang “Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition” INTERSPEECH 2024
5. Wei, Yiwei, Shaozu Yuan*, Hengyang Zhou, Longbiao Wang*, Zhiling Yan, Ruosong Yang and Meng Chen. "G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection." AAAI Conference on Artificial Intelligence (2024).
6. Qiang, Chunyu, Hao Li, Hao Ni, He Qu, Ruibo Fu, Tao Wang, Longbiao Wang* and Jianwu Dang. "Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding." ArXiv abs/2307.15484 (2023): 10186-10190
7. Qiang, Chunyu, Hao Li, Yixin Tian, Ruibo Fu, Tao Wang, Longbiao Wang* and Jianwu Dang. "Learning Speech Representation From Contrastive Token-Acoustic Pretraining." ArXiv abs/2309.00424 (2023): n. pag.
8. Qiang, Chunyu, Hao Li, Yixin Tian, Yi Zhao, Ying Zhang, Longbiao Wang* and Jianwu Dang. "High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models." ArXiv abs/2309.15512 (2023): 10781-10785.
9. Wei, Yiwei, Shaozu Yuan*, Ruosong Yang, Lei Shen, Zhang Li, Longbiao Wang* and Meng Chen. "Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection." Annual Meeting of the Association for Computational Linguistics (2023).
10. Y. Wei, S. Yuan, M. Chen* and L. Wang, "Enhancing Multimodal Alignment with Momentum Augmentation for Dense Video Captioning," ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE: 1-5.
11. Yiwei Wei, Shaozu Yuan∗, Ruosong Yang, Lei Shen, Longbiao Wang*, Zhangmeizhi Li, Meng Chen. “Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection”, Proc. of ACL 2023:5240-5252.
12. Junjie Li, Meng Ge*, Zexu Pan, Rui Cao, Longbiao Wang*, Jianwu Dang, Shiliang Zhang. “Rethinking the visual cues in audio-visual speaker extraction”, Proc. of Interspeech 2023:3754-3758.
13. Yuhang Li, Xiao Wei, Yuke Si*, Longbiao Wang, Xiaobao Wang*, Jianwu Dang. “Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion”, Proc. of Interspeech 2023:2123-2127.
14. Yanjie Fu, Meng Ge*, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang*, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang. "Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation". Proc. of Interspeech 2023:3789-3793.
15. Honglong Wang, Chengyun Deng, Yanjie Fu, Meng Ge*, Longbiao Wang*, Gaoyan Zhang, Jianwu Dang, Fei Wang. "SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation". Proc. of Interspeech 2023:3739-3743.
16. Yuhang Li, Xiao Wei, Yuke Si*, Longbiao Wang, Xiaobao Wang*, Jianwu Dang. "Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion". Proc. of Interspeech 2023:2123-2127.
17. Yang Liu, Haoqin Sun, Geng Chen, Qingyue Wang, Zhen Zhao*, Xugang Lu, Longbiao Wang. "Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions". Proc. of Interspeech 2023:1893-1897.
18. Zhongjie Li, Gaoyan Zhang*, Longbiao Wang, Jianwu Dang*. "Discrimination of the Different Intents Carried by the Same Text Through Integrating Multimodal Information". Proc. of Interspeech 2023:2423-2427.
19. Kai Yang, Zhuang Xie, Di Zhou, Longbiao Wang, Gaoyan Zhang*. "Auditory Attention Detection in Real-Life Scenarios Using Common Spatial Patterns from EEG". Proc. of Interspeech 2023:1154-1158.
20. Zhe Yu, Di Jin, Xiaobao Wang*, Yawen Li, Longbiao Wang, Jianwu Dang. “Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection” , Proc.of IJCAI 2023:2423-2431.
21. Yiwei Wei, Shaozu Yuan, Meng Chen*, Longbiao Wang. “Enhancing Multimodal Alignment with Momentum Augmentation for Dense Video Captioning”. Proc.of ICASSP 2023:1-5.
22. Haoyu Lu, Nan Li∗ , Tongtong Song, Longbiao Wang∗, Jianwu Dang, Xiaobao Wang, Shiliang Zhang. “Speech and Noise Dual-Stream Spectrograms Refiner Network with Speech Distortion Loss for Robust Speech Recognition”. Proc.of ICASSP 2023:1-5.
23. Yuhao Liu, Cheng Gong, Longbiao Wang, Xixin Wu, Qiuyu Liu, Jianwu Dang. “VF-TACO2: Towards Fast and Lightweight Synthesis For Autoregressive Models with Variation Autoencoder and Feature Distillation”. Proc.of ICASSP 2023:1-5.
24. Xiaohui Liu, Meng Liu, Longbiao Wang∗, Kong Aik Lee∗, Hanyi Zhang, Jianwu Dang . “Leveraging Positional-Related Local-Global Dependency for Synthetic Speech Detection". Proc.of ICASSP 2023:1-5.
25. Hao Shi, Masato Mimura, Longbiao Wang, Jianwu Dang, and Tatsuya Kawahara. “Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder”. Proc.of ICASSP 2023:1-5.
26. Zhongjie Li, Bin Zhao, Gaoyan Zhang*, Longbiao Wang, Jianwu Dang*. “Brain network features differentiate intentions from different emotional expressions of the same text”. Proc.of ICASSP 2023:1-5.
27. Meng Liu, Kong Aik Lee*, Longbiao Wang*, Hanyi Zhang, Chang Zeng, Jianwu Dang. “Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification”. Proc.of ICASSP 2023:1-5.
28. Hui Chen, Hanyi Zhang, Longbiao Wang∗, Kong Aik Lee∗, Meng Liu, Jianwu Dang. “Self-Supervised Audio-Visual Speaker Representation with Co-Meta Learning”. Proc.of ICASSP 2023:1-5.
29. Yao Sun, Hanyi Zhang, Longbiao Wang*, Kong Aik Lee*, Meng Liu, Jianwu Dang. “Noise-Disentanglement metric learning for Robust Speaker Verification”. Proc.of ICASSP 2023:1-5.
30. Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li*, Longbiao Wang, Jianwu Dang.“Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection”. Proc.ofAAAI-23 (CCF-A类会议长文，Oral): 4702-4710
31. Siqing Qin, Longbiao Wang*, Sheng Li, Yuqin Lin, Jianwu Dang, "Finer-grained modeling units-based meta-learning for low-resource Tibetan speech recognition ", Proc.of Interspeech 2022:2133-2137.
32. Hao Shi, Longbiao Wang*, Sheng Li, Jianwu Dang, and Tatsuya Kawahara*. “Monaural speech enhancement based on spectrogram decomposition for convolutional neural network-sensitive feature extraction.” Proc.of Interspeech 2022:221-225.
33. Jiaxu He, Cheng Gong, Longbiao Wang*, Di Jin,Xiaobao Wang,Junhai Xu, Jianwu Dang,"Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training",Proc.of Interspeech 2022:5538-5542.
34. Kai Li, Sheng Li, Xugang Lu, Masato Akagi, Meng Liu, Lin Zhang, Chang Zeng, Longbiao Wang, Jianwu Dang and Masashi Unoki.“Data augmentation using McAdams-coefficient-based speaker anonymization for fake audio detection.” Proc.of Interspeech 2022:664-668.
35. Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang*, Longbiao Wang*, Lei Zhang, Lin Qiu, Jianwu Dang,“MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources.” Proc.of Interspeech 2022:891-895.
36. Xiao Wei, Yuke Si*, Shiquan Wang, Longbiao Wang* and Jianwu Dang,"Hierarchical Tagger with Multi-task Learning for Cross-domain Slot Filling", Proc.of Interspeech 2022:3273-3277.
37. Nan Li, Meng Ge*, Longbiao Wang*, Masashi Unoki, Sheng Li, Jiang Dang "Global Signal-to-noise Ratio Estimation Based on Multi-subband Processing Using Convolutional Neural Network." Proc.of Interspeech 2022:361-365.
38. Yanjie Fu, Meng Ge*, Haoran Yin, Xinyuan Qian, Longbiao Wang*, Gaoyan Zhang, Jianwu Dang. "Iterative Sound Source Localization for Unknown Number of Sources", Proc.of Interspeech 2022:896-900.
39. Junjie Li, Meng Ge, Zexu Pan, Longbiao Wang*, Jianwu Dang,"VCSE: Time-Domain Visual-Contextual Speaker Extraction Network", Proc.of Interspeech 2022:906-910.
40. Shiquan Wang, Yuke Si*, Xiao Wei, Longbiao Wang*, Zhiqiang Zhuang, Xiaowang Zhang,Jianwu Dang"TopicKS: Topic-driven Knowledge Selection for Knowledge-grounded Dialogue Generation", Proc.of Interspeech 2022:1121-1125.
41. Qiang Xu, Tongtong Song, Longbiao Wang*, Hao Shi*, Yuqin Lin, Yongjie Lv, Meng Ge, Qiang Yu and Jianwu Dang “Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model”, Proc.of Interspeech 2022:1716-1720.
42. Tongtong Song, Qiang Xu, Meng Ge, Longbiao Wang*, Hao Shi*, Yongjie Lv, Yuqin Lin and Jianwu Dang "Language-specific Characteristic Assistance for Code-switching Speech Recognition", Proc.of Interspeech 2022:3924-3928.
43. Yuan Gao, Shogo Okada*, Longbiao Wang*, Jiaxing Liu, Jianwu Dang, "Domain-invariant Feature Learning For Cross Corpus Speech Emotion Recognition", Proc.of ICASSP 2022:6427-6431.
44. Yaodong Song, Jiaxing Liu, Longbiao Wang*, Ruiguo Yu*, Jianwu Dang, "Multi-stage Graph Representation Learning For Dialogue-level Speech Emotion Recognition", Proc.of ICASSP 2022:6432-6436.
45. Yongjie,Lv, Longbiao Wang*, Meng Ge, Sheng Li*, Chenchen Ding, Lixin Pan，Yuguang Wang, Jianwu Dang, Kiyoshi Honda, "Compressing Transformer-based ASR Model by Task-driven Loss and Attention-based Multi-level Feature Distillation",Proc.of ICASSP 2022:7992-7996.
46. Kaili Zhang, Cheng Gong, Wenhuan Lu*, Longbiao Wang*, Jianguo Wei, Dawei Liu, "Joint And Adversarial Training With Asr For Expressive Speech Synthesis", Proc.of ICASSP 2022:6322-6326.
47. Jianshu Qi, Yuke Si*, Longbiao Wang*, Jianwu Dang, "Cache: Modeling Contribution-aware Context Hierarchically For Long-range Dialogue State Tracking", Proc.of ICASSP 2022:6697-6701.
48. Xiangyu Zhao, Longbiao Wang*, Jianwu Dang, "Improving Dialogue Generation Via Proactively Querying Grounded knowledge", Proc.of ICASSP 2022:6577-6581.
49. Hanyi Zhang, Longbiao Wang*, Kong Aik Lee*,Meng Liu, Jianwu Dang,Hui Chen, "Learning Domain- Invariant Transformation For Speaker Verification", Proc. of ICASSP 2022:7177-7181.
50. Meng Ge, Chenglin Xu*, Longbiao Wang*, Eng Siong Chng, Jianwu Dang, Haizhou Li, "L-SpEx:Localized Target Speaker Extraction", Proc.of ICASSP 2022 :7287-7291.
51. Cheng Gong, Longbiao Wang*, zhenhua Ling, Ju Zhang, Jianwu Dang, "Using Multiple Reference Audios And Style Embedding Constraintsfor Speech Synthesis", Proc. of ICASSP 2022:5724-5728.
52. Junjie Li, Meng Ge, Longbiao Wang, Jianwu Dang, “Deep Multi-task Cascaded Acoustic Echo Cancellation and Noise Suppression” , Proc.of ISCSLP 2022.
53. Yanbing Yang, Hao Shi, Yuqin Lin, Meng Ge, Longbiao Wang, Qingzhi Hou, Jianwu Dang, “Adaptive Attention Network with Domain Adversarial Training for Multi-Accent Speech Recognition” , Proc.of ISCSLP 2022.
54. Hao Shi, Yuchun Shu, Longbiao Wang, Jianwu Dang, Tatsuya Kawahara, “Fusing Multiple Bandwidth Spectrograms for Improving Speech Enhancement”, Proc.of APSIPA ASC 2022 .
55. Hao Shi, Longbiao Wang, Sheng Li, Jianwu Dang, Tatsuya Kawahara, “Subband-based Spectrogram Fusion for Speech Enhancement by Combining Mapping and Masking Approaches” , Proc.of APSIPA ASC 2022 .
56. Xiaohui Liu, Meng Liu, Lin Zhang, Linjuan Zhang, Chang Zeng, Kai Li, Nan Li, Kong Aik Lee, Longbiao Wang, Jianwu Dang, “Deep Spectro-temporal Artifacts for Detecting Synthesized Speech” , Proc.of DDAM 2022 .
57. Nan Li, Meng Ge, Longbiao Wang, Jianwu Dang, “Dual-stream Speech Dereverberation Network Using Long-term and Short-term Cues”, Proc.of IJCNN 2022.
58. Yibo Wu, Longbiao Wang*, Kong Aik Lee*, Meng Liu, Jianwu Dang, "Joint Feature Enhancement and Speaker Recognition with Multi-Objective Task-Oriented Network," Proc. of Interspeech 2021:1993-1997.
Yuan Gao, JiaXing Liu, Longbiao Wang*, Jianwu Dang, "Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition," Proc. of Interspeech 2021:616-620.
59. Jiaxing Liu, Yaodong Song, Longbiao Wang*, Jianwu Dang and Ruiguo Yu, "Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-level Speech Emotion Recognition," Proc. of Interspeech 2021:591-595.
60. Li Tang , Yuke Si, Longbiao Wang*, Jianwu Dang, "Domain-Specific Multi-Agent Dialog Policy Learning in Multi-Domain Task-Oriented Scenarios," Proc. of Interspeech 2021. :256-260.
61. Xudong Dai, Cheng Gong, Longbiao Wang* and Kaili Zhang, "Information Sieve: Content Leakage Reduction in End-to-End Prosody Transfer for Expressive Speech Synthesis," Proc. of Interspeech 2021:131-135.
62. Cheng Gong, Longbiao Wang*, Ju Zhang*, Shaotong Guo, Yuguang Wang and Jianwu Dang, "TacoLPCNet: Fast and Stable TTS by Conditioning LPCNet on Mel Spectrogram Predictions," Proc. of Interspeech 2021:111-115.
63. Hao Shi*, Longbiao Wang, Sheng Li, Cunhang Fan, Jianwu Dang, Tatsuya Kawahara, "Spectrograms Fusion-based End-to-end Robust Automatic Speech Recognition," Proc. of APSIPA 2021 : 438-442.
64. Sen Chen, Zhilei Liu*, Jiaxing Liu , Zhengxiang Yan, Longbiao Wang*. Talking Head Generation with Audio and Speech Related Facial Action Units. submitted to In British Machine Vision Conference (BMVC), 2021
65. Luya Qiang, Hao Shi, Meng Ge*, Haoran Yin, Nan Li, Longbiao Wang*, Sheng Li, Jianwu Dang: Speech Dereverberation Based on Scale-aware Mean Square Error Loss. Proc.of ICONIP 2021:55-63.
66. Haoran Yin, Hao Shi, Longbiao Wang*, Luya Qiang, Sheng Li, Meng Ge, Gaoyan Zhang, Jianwu Dang: Simultaneous Progressive Filtering-based Monaural Speech Enhancement. Proc. of ICONIP 2021:213-221.
67. Dawei Liu, Longbiao Wang*, Sheng Li, Haoyu Li, Chenchen Ding, Ju Zhang, Jianwu Dang: Exploring Effective Speech Representation via ASR for High-Quality End-to-End Multispeaker TTS. Proc. of ICONIP 2021:110-118.
68. Meng Liu, Longbiao Wang*, Kong Aik Lee*, Hanyi Zhang, Chang Zeng, Jianwu Dang: DeepLip: A Benchmark for Deep Learning-Based Audio-Visual Lip Biometrics. ASRU 2021:122-129.
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