| Pyramid vision transformer: A versatile backbone for dense prediction without convolutions W Wang, E Xie, X Li, DP Fan, K Song, D Liang, T Lu, P Luo, L Shao ICCV 2021, 2021 | 4651 | 2021 |
| Pvt v2: Improved baselines with pyramid vision transformer W Wang, E Xie, X Li, DP Fan, K Song, D Liang, T Lu, P Luo, L Shao Computational Visual Media 8 (3), 415-424, 2022 | 1675 | 2022 |
| Mpnet: Masked and permuted pre-training for language understanding K Song, X Tan, T Qin, J Lu, TY Liu NeurIPS 2020, 2020 | 1218 | 2020 |
| Mass: Masked sequence to sequence pre-training for language generation K Song, X Tan, T Qin, J Lu, TY Liu ICML 2019, 2019 | 1201 | 2019 |
| HuggingGPT: Solving AI tasks with ChatGPT and Its Friends in Huggingface Y Shen, K Song, X Tan, D Li, W Lu, Y Zhuang NeurIPS 2023, 2023 | 1075 | 2023 |
| Connecting large language models with evolutionary algorithms yields powerful prompt optimizers Q Guo, R Wang, J Guo, B Li, K Song, X Tan, G Liu, J Bian, Y Yang ICLR 2024, 2023 | 178 | 2023 |
| NaturalSpeech 3: Zero-shot speech synthesis with factorized codec and diffusion models Z Ju, Y Wang, K Shen, X Tan, D Xin, D Yang, Y Liu, Y Leng, K Song, ... ICML 2024, 2024 | 130 | 2024 |
| 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 KDD 2021, 2021 | 86 | 2021 |
| SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint Z Sheng, K Song, X Tan, Y Ren, W Ye, S Zhang, T Qin AAAI 2021, 2020 | 73 | 2020 |
| Bi-modal progressive mask attention for fine-grained recognition K Song, XS Wei, X Shu, RJ Song, J Lu IEEE Transactions on Image Processing 29, 7006-7018, 2020 | 65 | 2020 |
| DiffusionNER: Boundary Diffusion for Named Entity Recognition Y Shen, K Song, X Tan, D Li, W Lu, Y Zhuang ACL 2023, 2023 | 57 | 2023 |
| DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling L Xue, K Song, D Wu, X Tan, NL Zhang, T Qin, WQ Zhang, TY Liu ACL 2021, 2021 | 41 | 2021 |
| Prompttts 2: Describing and generating voices with text prompt Y Leng, Z Guo, K Shen, X Tan, Z Ju, Y Liu, Y Liu, D Yang, L Zhang, ... ICLR 2024, 2023 | 39 | 2023 |
| Easytool: Enhancing llm-based agents with concise tool instruction S Yuan, K Song, J Chen, X Tan, Y Shen, R Kan, D Li, D Yang NAACL 2025, 2024 | 36 | 2024 |
| Generating adversarial examples with conditional generative adversarial net P Yu, K Song, J Lu 2018 24th international conference on pattern recognition (ICPR), 676-681, 2018 | 36 | 2018 |
| Taskbench: Benchmarking large language models for task automation Y Shen, K Song, X Tan, W Zhang, K Ren, S Yuan, W Lu, D Li, Y Zhuang NeurIPS 2024, 2023 | 35 | 2023 |
| 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 2022, 2021 | 32 | 2021 |
| Mixed-phoneme bert: Improving bert with mixed phoneme and sup-phoneme representations for text to speech G Zhang, K Song, X Tan, D Tan, Y Yan, Y Liu, G Wang, W Zhou, T Qin, ... INTERSPEECH 2022, 2022 | 25 | 2022 |
| Learning domain invariant prompt for vision-language models C Zhao, Y Wang, X Jiang, Y Shen, K Song, D Li, D Miao IEEE Transactions on Image Processing, 2024 | 22 | 2024 |
| SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition Y Leng, X Tan, W Liu, K Song, R Wang, XY Li, T Qin, E Lin, TY Liu AAAI 2023, 2022 | 22 | 2022 |
Xu TanPrincipal Researcher and Research Manager, MicrosoftVerified email at microsoft.com