Di He
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Computational Drug Discovery Methods
Most-Cited Works
- → A Theoretical Analysis of NDCG Type Ranking Measures(2013)254 cited
- Dual Learning for Machine Translation(2016)
- → Incorporating BERT into Neural Machine Translation(2020)173 cited
- → Multilingual Neural Machine Translation with Knowledge Distillation(2019)129 cited
- Rethinking Positional Encoding in Language Pre-training(2021)
- Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation(2018)
- → Multilingual Neural Machine Translation with Language Clustering(2019)109 cited
- → Representation Degeneration Problem in Training Natural Language\n Generation Models(2019)105 cited
- → A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening(2022)84 cited
- → Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature(2019)80 cited