Zhou, Long

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Li, J., Kanda, N., Yoshioka, T., Xiao, X., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,926

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

GraphCodeBERT: Pre-training Code Representations with Data Flow

Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 480

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Wang, C., Chen, S., Wu, Y., Zhang, Z., Zhou, L., Liu, S., Chen, Z., Liu, Y., Wang, H., Li, J., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 250

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Ren, S., Guo, D., Lu, S., Zhou, L., Liu, S., Tang, D., Sundaresan, N., Zhou, M., Blanco, A., & Ma, S. (2020) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 214

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

Wang, R., Bai, Q., Ao, J., Zhou, L., Xiong, Z., Wei, Z., Zhang, Y., Ko, T., & Li, H. (2022) · Interspeech 2022

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 40

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Ao, J., Wang, R., Zhou, L., Wang, C., Ren, S., Wu, Y., Liu, S., Ko, T., Li, Q., Zhang, Y., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 30