Shengfeng Pan
Ji Hua Laboratory(CN)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Text and Document Classification Technologies, Sentiment Analysis and Opinion Mining, Machine Learning and Data Classification
Most-Cited Works
- → RoFormer: Enhanced transformer with Rotary Position Embedding(2023)1,145 cited
- → Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention(2021)103 cited
- → Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition(2022)65 cited
- → ZLPR: A Novel Loss for Multi-label Classification(2022)26 cited
- → BERT-ASC: Auxiliary-sentence construction for implicit aspect learning in sentiment analysis(2024)17 cited
- → Towards Robust Learning with Noisy and Pseudo Labels for Text Classification(2024)11 cited
- → Rank-Aware Negative Training for Semi-Supervised Text Classification(2023)9 cited
- → Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation(2021)6 cited
- → BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models(2021)5 cited