Chen Wu
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Distributed and Parallel Computing Systems
Most-Cited Works
- → StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding(2019)100 cited
- → A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance(2023)59 cited
- → A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer(2019)53 cited
- → ITI-Gen: Inclusive Text-to-Image Generation(2023)42 cited
- → Incorporating External Knowledge into Machine Reading for Generative Question Answering(2019)38 cited
- → DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization(2022)31 cited
- → DALiuGE: A graph execution framework for harnessing the astronomical data deluge(2017)29 cited
- IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.(2019)
- → EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training(2021)29 cited
- → PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation(2020)20 cited