Xingcheng Yao
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Complex Network Analysis Techniques, Recommender Systems and Techniques, Advanced Graph Neural Networks
Most-Cited Works
- → SimCSE: Simple Contrastive Learning of Sentence Embeddings(2021)2,438 cited
- → CogDL: A Comprehensive Library for Graph Deep Learning(2023)16 cited
- CogDL: An Extensive Toolkit for Deep Learning on Graphs(2021)
- → NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework(2021)11 cited
- → Kimi-VL Technical Report(2025)1 cited
- → Muon is Scalable for LLM Training(2025)1 cited
- → SOAER: Self-Obstacle Avoiding Escape Routing for Paper-Based Digital Microfluidic Biochips(2023)1 cited
- → A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images(2019)