Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Natural language processing, Question answering, Computational linguistics, and Inference.
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
Automating code review activities by large-scale pre-training
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
ProQA: Structural Prompt-based Pre-training for Unified Question Answering
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Mask Attention Networks: Rethinking and Strengthen Transformer
Syntax-Enhanced Pre-trained Model
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Reasoning Over Semantic-Level Graph for Fact Checking
Neural Deepfake Detection with Factual Structure of Text
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
Knowledge Aware Semantic Concept Expansion for Image-Text Matching
Improving Question Answering by Commonsense-Based Pre-training
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
arXiv (Cornell University) 2019cited by 27position: middle
Visual Question Generation as Dual Task of Visual Question Answering
Dialog-to-action: conversational question answering over a large-scale knowledge base
Neural Information Processing Systems 2018cited by 87position: middle