| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv, 2023 | 722 | 2023 |
| Multispeech: Multi-speaker text to speech with transformer M Chen, X Tan, Y Ren, J Xu, H Sun, S Zhao, T Qin, TY Liu InterSpeech, 2020 | 100 | 2020 |
| Lrspeech: Extremely low-resource speech synthesis and recognition J Xu, X Tan, Y Ren, T Qin, J Li, S Zhao, TY Liu SIGKDD, 2020 | 92 | 2020 |
| MixSpeech: Data augmentation for low-resource automatic speech recognition L Meng, J Xu, X Tan, J Wang, T Qin, B Xu ICASSP, 2021 | 73 | 2021 |
| NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search J Xu, X Tan, R Luo, K Song, J Li, T Qin, TY Liu SIGKDD, 2021 | 71 | 2021 |
| Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models Y Chu, J Xu, X Zhou, Q Yang, S Zhang, Z Yan, C Zhou, J Zhou arXiv, 2023 | 59 | 2023 |
| FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition Y Leng, X Tan, L Zhu, J Xu, R Luo, L Liu, T Qin, X Li, E Lin, TY Liu NeurIPS, 2021 | 53 | 2021 |
| Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation J Xu, X Liu, J Yan, D Cai, H Li, J Li NeurlPS, 2022 | 41 | 2022 |
| A collaborative learning framework to tag refinement for points of interest J Zhou, S Gou, R Hu, D Zhang, J Xu, A Jiang, Y Li, H Xiong SIGKDD, 2019 | 37 | 2019 |
| FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition TYL Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Linquan Liu, Tao ... EMNLP Findings, 2021 | 34* | 2021 |
| Analyzing and Mitigating Interference in Neural Architecture Search J Xu, X Tan, K Song, R Luo, Y Leng, T Qin, TY Liu, J Li ICML, Spotlight, 2022 | 29 | 2022 |
| LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT Q Chen, Y Chu, Z Gao, Z Li, K Hu, X Zhou, J Xu, Z Ma, W Wang, S Zheng, ... arXiv, 2023 | 19 | 2023 |
| Speech-T: Transducer for Text to Speech and Beyond J Chen, X Tan, Y Leng, J Xu, G Wen, T Qin, TY Liu NeurlPs, 2021 | 16 | 2021 |
| An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data J Xu, J Zhou, Y Jia, J Li, X Hui ICDE, Oral, 2020 | 12 | 2020 |
| Understanding In-Context Learning from Repetitions J Yan, J Xu, C Song, C Wu, Y Li, Y Zhang ICLR, 2024 | 7 | 2024 |
| Residual learning of neural text generation with n-gram language model H Li, D Cai, J Xu, T Watanabe EMNLP 2022 Findings, 1523-1533, 2022 | 7* | 2022 |
| Effective Graph Learning with Adaptive Knowledge Exchange L Zeng*, J Xu*, Z Yao, Y Zhu, J Li CIKM 2023, 2023 | 4* | 2023 |
| Qwen2 technical report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2407.10671, 2024 | 2 | 2024 |
| AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension Q Yang, J Xu, W Liu, Y Chu, Z Jiang, X Zhou, Y Leng, Y Lv, Z Zhao, ... ACL 2024, 2024 | 2 | 2024 |
| DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding J Yan, J Xu, F Meng, J Zhou, Y Zhang COLING 2024, 2023 | 2 | 2023 |
Tao QinSenior Principal Research Manager, Microsoft ResearchZweryfikowany adres z microsoft.com
