Ziyue Qiao

1. A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge
   2023/10/18 by Le Ma, Ma, Le, Ran Zhang +37 · 4 voices · 15 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Data Management and Algorithms #Graph Theory and Algorithms #cs.AI #cs.DB
2. Large Language Model Agent: A Survey on Methodology, Applications and Challenges
   2025/03/27 by Junyu Luo, Weizhi Zhang, Luo, Junyu +47 · 58 citations
   Computer Science · #Topic Modeling
3. Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
   2022/12/27 by Meng Xiao, Dongjie Wang, Xiao, Meng +13 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
4. SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
   2024/05/23 by Weiyu Guo, Guo, Weiyu, Ying Sun +9 · 4 citations
   Computer Science · Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Hand Gesture Recognition Systems #Hearing Impairment and Communication #Human-Computer Interaction (cs.HC) #Signal Processing (eess.SP) #Tactile and Sensory Interactions #electronic engineering #information engineering
5. Graph Soft-Contrastive Learning via Neighborhood Ranking
   2022/09/28 by Zhiyuan Ning, Ning, Zhiyuan, Pengfei Wang +13 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification
   2021/06/16 by Zheng-Zheng Tang, Ziyue Qiao, Tang, Zhengzheng +11 · 1 citation
   Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
7. LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
   2021/02/22 by Zhiyuan Ning, Ning, Zhiyuan, Ziyue Qiao +7 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
8. Cluster-guided Contrastive Class-imbalanced Graph Classification
   2024/12/17 by Wei Ju, Zhengyang Mao, Ju, Wei +15 · 2 citations
   Computer Science · Health Professions · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Text and Document Classification Technologies
9. Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy
   2024/06/11 by Xiaohan Huang, Huang, Xiaohan, Dongjie Wang +15 · 1 citation
   Computer Science · #AI-based Problem Solving and Planning #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
10. Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
    2025/04/24 by Xiaohan Huang, Huang, Xiaohan, Dongjie Wang +17 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research
11. GCAL: Adapting Graph Models to Evolving Domain Shifts
    2025/05/22 by Ziyue Qiao, Qianyi Cai, Qiao, Ziyue +13 · 2 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) #Machine Learning in Healthcare
12. Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction
    2026/07/17 by Jiazhen Huang, Zhiming Liu, Changhu Wang +3
    #cs.CV #cs.LG