Linfeng Liu

1. Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data
   2022/10/01 by Linfeng Liu, Siyu Liu, Liu, Linfeng +9 · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Multimodal Machine Learning Applications #electronic engineering #information engineering
2. Preference Discerning with LLM-Enhanced Generative Retrieval
   2024/12/11 by Fabian Paischer, Paischer, Fabian, Yang Liu +26 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Rough Sets and Fuzzy Logic
3. Large language model-based biological age prediction in large-scale populations
   2025/07/23 by Yanjun Li, Qi Huang, Jin Jiang +21 · 1 voice · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Epigenetics and DNA Methylation #Health, Environment, Cognitive Aging #Machine Learning in Healthcare
4. TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction
   2023/07/14 by Linfeng Liu, Liu, Linfeng, Junyan Lyu +9 · 1 citation
   Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Machine Learning in Healthcare #Biomedical Text Mining and Ontologies
5. Async Learned User Embeddings for Ads Delivery Optimization
   2024/06/09 by Mingwei Tang, Tang, Mingwei, Meng Liu +35 · 1 citation
   Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Consumer Market Behavior and Pricing #Customer churn and segmentation #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques