I am leading the Deep Learning Group. The group’s mission is to advance the state-of-the-art on deep learning and its application to natural language and image understanding, and for making progress on conversational models and methods. Our research interests are:
Neural language modeling for natural language understanding and generation. Some ongoing projects are MT-DNN, UniLM, DeBERTa, question-answering, long text generation, etc.
Neural symbolic computing. We are developing next-generation architectures to bridge gap between neural and symbolic representations with neural symbols. Some ongoing projects are relational encoding using Tensor-Product Representations, AI for Code, etc.
Vision-language grounding and understanding. Some ongoing projects are vision-language pre-training, OSCAR, VIVO, VinVL, vision language navigation, image editing and generation, image commenting and captioning, etc.
Conversational AI. Some ongoing projects are conversation learner and SOLOIST which enable you to build task-oriented dialog system via machine teaching, ConvLab which is an open-source multi-domain dialog system platform, and response generation for social bots such as Microsoft XiaoIce, etc.