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Journal papers

  1. Zhiyuan Tang, Lantian Li, Dong Wang, Ravichander Vipperla, "Collaborative Joint Training With Multitask Recurrent Model for Speech and Speaker Recognition", IEEE TASLP 2017, vol 25, no.3. online
  2. Zhiyuan Tang,Dong Wang,Yixiang Chen,Lantian Li,Andrew Abel, "Phonetic Temporal Neural Model for Language Identification", IEEE TASLP 2017. online

Conference papers

  1. Yang Zhang and Lantian Li and Dong Wang, "VAE-based regularization for deep speaker embedding", Interspeech 2019 [1].
  2. Lantian Li,Zhiyuan Tang,Ying Shi,Dong Wang, "Gaussian-Constrained Training for Speaker Verification", ICASSP 2019[2]
  3. Jiyuan Zhang,Dong Wang, "Chinese Poetry Generation with Flexible Styles", ISCSLP 2018[3].
  4. Jiyuan Zhang,Zheling Zhang,Shiyue Zhang, Dong Wang,"VV-COUPLET: AN OPEN SOURCE CHINESE COUPLET GENERATION SYSTEM", APSIPA 2018. [4]
  5. Zhiyuan Tang,Dong Wang,Qing Chen, "AP18-OLR CHALLENGE: THREE TASKS AND THEIR BASELINES",APSIPA 2018.[5]
  6. Ying Shi,Zhiyuan Tang, Lantian Li,Zheling Zhang,Dong Wang, "MAP AND RELABEL: TOWARDS ALMOST-ZERO RESOURCE SPEECH RECOGNITION",APSIPA 2018.[6]
  7. Miao Zhang, Xiaofei Kang, Yanqing Wang, Lantian Li, Zhiyuan Tang, Haisheng Dai, Dong Wang*, HUMAN AND MACHINE SPEAKER RECOGNITION BASED ON SHORT TRIVIAL EVENT, ICASSP 2018 arXiv
  8. Lantian Li, Zhiyuan Tang, Dong Wang, Thomas Fang Zheng, FULL-INFO TRAINING FOR DEEP SPEAKER FEATURE LEARNING, ICASSP 2018.arXiv
  9. Lantian Li, Dong Wang*, Yixiang Chen, Ying Shing, Zhiyuan Tang, Thomas Fang Zheng, DEEP FACTORIZATION FOR SPEECH SIGNAL, ICASSP 2018 arXiv
  10. Dong Wang, Thomas Fang Zheng, Zhiyuan Tang, Ying Shi, Lantian Li, Shiyue Zhang Hongzhi Yu, Guanyu Li, Shipeng Xu, Askar Hummdulla, Mijit Ablimit, Gulnigar Mahmut, M2ASR: AMBITIONS AND FIRST YEAR PROGRESS, O-COCOSDA 2017. pdf
  11. Yang Feng, Shiyue Zhang, Andy Zhang, Dong Wang and Andrew Abel, Memory-augmented Neural Machine Translation, EMNLP 2017 [7] .
  12. Lantian Li, Yixiang Chen, Dong Wang, Thomas Fang Zheng, A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification, Interspeech 2017 [8].
  13. Lantian Li, Yixiang Chen, Ying Shi, Zhiyuan Tang, Dong Wang, "Deep Speaker Feature Learning for Text-independent Speaker Verification", Interspeech 2017[9].
  14. Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrw Abel, Shiyue Zhang, Andi Zhangi, "Flexible and Creative Chinese Poetry Generation Using Neural Memory", ACL 2017 [10]
  15. Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, and Shiyue Zhang, "Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition", ICASSP 2017.[11]
  16. Zhiyuan Tang, Dong Wang, Yixiang Chen, Qing Chen, AP17-OLR Challenge: Data, Plan, and Baseline, APSIPA 2017, link: arXiv
  17. Shiyue Zhang, Gulnigar Mahmut, Dong Wang, Askar Hamdulla, Memory-augmented Chinese-Uyghur Neural Machine Translation, APSIPA 2017, link: arXiv
  18. Shipeng Xu , Hongzhi Yu, Thomas Fang Zheng and Jinghao Yan, Language Resource Construction for Mongolian, APSIPA 2017, pdf
  19. Guanyu Li, Hongzhi Yu, Thomas Fang Zheng, Jinghao Yan, Free Linguistic and Speech Resources for Tibetan, APSIPA 2017, link: pdf
  20. Ying Shi, Askar Hamdulla, Zhiyuan Tang, Dong Wang, Thomas Fang Zheng, A Free Kazak Speech Database and a Speech Recognition Baseline, APSIPA 2017, link: pdf
  21. Mijit Ablimit, Sardar Parhat, Askar Hamdulla, Thomas Fang Zheng , A Multilingual Language Processing Tool for Uyghur, Kazak and Kirghiz, APSIPA 2017, link: pdf
  22. Aodong Li, Shiyue Zhangy, Dong Wangz and Thomas Fang Zheng, Enhanced Neural Machine Translation by Learning from Draft, APSIPA 2017, link: pdf
  23. Lantian Li, Dong Wang, Askar Rozi, Thomas Fang Zheng, Cross-lingual Speaker Verification with Deep Feature Learning, APSIPA 2017, link: arXiv
  24. Dong Wang, Lantian Li, Zhiyuan Tang, Thomas Fang Zheng, Deep Speaker Verification: Do We Need End to End?, APSIPA 2017, link: arXiv
  25. Miao Zhang, Yixiang Chen, Lantian Li and Dong Wang, Speaker Recognition with Cough, Laugh and “Wei”, APSIPA 2017, link: arXiv
  26. Jinghao Yan, Hongzhi Yu, Guanyu Li,"Tibetan acoustic model research based on TDNN", APSIPA ASC 2018