Deep and Reinforcement Learning Group

In this project, we focus on developing RL algorithms, especially deep RL algorithms for real-world applications. We are interesting in the following topics. Distributional Reinforcement Learning. Distributional Reinforcement Learning focuses on developing RL algorithms which model the return distribution, rather…

We design an AI for Mahjong, named Suphx, based on deep reinforcement learning with some newly introduced techniques including global reward prediction, oracle guiding, and run-time policy adaptation.

We are working on neural machine translation, using deep neural networks for machine translation. We achieved human parity in translating news from Chinese to English. Our Papers Xu Tan, Yi Ren, Di He, Tao Qin, Tie-Yan Liu, Multilingual Neural Machine…

成立: 2018年11月1日

We are working on neural network based text to speech (TTS). including acoustic model, vocoder, frontend, and end-to-end text-to-wave model. Our research works have been transferred in Microsoft Azure TTS service to improve the product experiences. Product Transfer (Azure TTS…

成立: 2019年8月1日

Muzic is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence. Muzic is pronounced as [ˈmjuːzeik] and '谬贼客' (in Chinese). Besides the logo in image version (see above), Muzic also has…

We are working on deep learning. We focus on developing new learning strategies and more efficient algorithms, designing better neural network structures, and improving representation learning. Efficient Deep Learning Xiang Li, Tao Qin, Jian Yang, and Tie-Yan Liu, LightRNN: Memory…

Introduction to Learning to Teach AutoML, which aims to automate a machine learning system, has attract a lot of attention in research community and made a lot of noise in industry and media . Different approaches have been proposed for…

Introduction to Dual Learning Many AI tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, question answering vs. question generation, and image classification vs. image generation. While structural duality is common…