Liu, Zemin
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
2023/02/16 by Liu, Zemin, Yu, Xingtong, Fang, Yuan +1 · 22 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
2023/02/22 by Qiheng Mao, Zemin Liu, Mao, Qiheng +5 · 7 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
- Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
2023/11/26 by Xingtong Yu, Yu, Xingtong, Zhenghao Liu +9 · 7 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
2023/12/04 by Xingtong Yu, Yuan Fang, Yu, Xingtong +5 · 7 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
2024/02/04 by Mao, Qiheng, Liu, Zemin, Liu, Chenghao +2 · 6 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
2023/08/26 by Zemin Liu, Yuan Li, Liu, Zemin +9 · 5 citations
Computer Science · Engineering · Health Professions · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Electricity Theft Detection Techniques #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
- On Generalized Degree Fairness in Graph Neural Networks
2023/02/08 by Zemin Liu, Trung‐Kien Nguyen, Liu, Zemin +3 · 4 citations
Social Sciences · #Ethics and Social Impacts of AI
- A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
2024/02/02 by Xingtong Yu, Yu, Xingtong, Yuan Fang +13 · 6 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Topological Recurrent Neural Network for Diffusion Prediction
2017/11/28 by Wang, Jia, Zheng, Vincent W., Liu, Zemin +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
2023/09/27 by Chen, Mouxiang, Liu, Chenghao, Liu, Zemin +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Partitioning Message Passing for Graph Fraud Detection
2024/11/16 by Wei Zhuo, Zemin Liu, Zhuo, Wei +11 · 2 citations
Computer Science · #Graph Labeling and Dimension Problems #Advanced Graph Theory Research #Complexity and Algorithms in Graphs
- Enhanced Structured Lasso Pruning with Class-wise Information
2025/02/13 by Liu, Xiang, Li, Mingchen, Li, Xia +7 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
2025/05/14 by Wei‐Zhong Han, Han, Wenkang, Lin, Wang +13 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Educational Technology and Assessment #FOS: Computer and information sciences
- One-shot Federated Learning Methods: A Practical Guide
2025/02/13 by Xiang Liu, Zhenheng Tang, Liu, Xiang +15 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data