Tie‐Yan Liu
Beijing Academy of Artificial Intelligence(CN)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Speech Recognition and Synthesis
Most-Cited Works
- → MASS: Masked Sequence to Sequence Pre-training for Language Generation(2019)580 cited
- → FastSpeech: Fast, Robust and Controllable Text to Speech(2019)580 cited
- → MPNet: Masked and Permuted Pre-training for Language Understanding(2020)503 cited
- → Neural Architecture Optimization(2018)431 cited
- Do Transformers Really Perform Badly for Graph Representation(2021)
- Deliberation Networks: Sequence Generation Beyond One-Pass Decoding(2017)
- → Knowledge-Powered Deep Learning for Word Embedding(2014)162 cited
- → Asynchronous Stochastic Gradient Descent with Delay Compensation(2016)160 cited
- Rethinking Positional Encoding in Language Pre-training(2021)