Fuzhen Zhuang

Khon Kaen University — Thailand

Computer Science · Physical Sciences

37h-index10.1kcitations182works3.62yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(44), Topic Modeling(38), Recommender Systems and Techniques(34), Text and Document Classification Technologies(30), Machine Learning and ELM(26)

Publications182 total

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent With Multi-Modality Observation Data in Cloud-Native Systems
IEEE Transactions on Services Computing·2025
Trend-aware structure relearning framework for water quality prediction with coupled noise governance
Expert Systems with Applications·2025
Integrating temporal and static features: a novel deep learning architecture for accurate sales prediction
2025
MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation
ArXiv.org·2025Open Access
PCRec: A Multi-Interest News Recommendation Framework with Prompt-Guided Cross-View Contrastive Learning
Journal of Computer Science and Technology·2025· 1 cited
AgriCHN: A Comprehensive Cross-domain Resource for Chinese Agricultural Named Entity Recognition
arXiv (Cornell University)·2025Open Access
TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
arXiv (Cornell University)·2025Open Access
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation
ACM Transactions on Information Systems·2025· 3 cited
LSTM-RVFL-Attention: A Novel Hybrid Deep Learning Model for Accurate Sales Prediction
2025
Trend-Aware Structure Relearning Framework for Water Quality Prediction with Coupled Noise Governance
SSRN Electronic Journal·2025Open Access
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
arXiv (Cornell University)·2024Open Access
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
arXiv (Cornell University)·2024Open Access
A comprehensive survey of federated transfer learning: challenges, methods and applications
Frontiers of Computer Science·2024· 47 citedOpen Access
Graph Dimension Attention Networks for Enterprise Credit Assessment
arXiv (Cornell University)·2024Open Access
Universal high-frequency monitoring methods of river water quality in China based on machine learning
The Science of The Total Environment·2024· 16 cited
Open-category referring expression comprehension via multi-modal knowledge transfer
Neurocomputing·2024· 1 cited
A syntactic evidence network model for fact verification
Neural Networks·2024· 5 citedOpen Access
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
arXiv (Cornell University)·2024Open Access
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
arXiv (Cornell University)·2024· 5 citedOpen Access
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Frequent Co-authors

Qing He(33), Hui Xiong(17), Zhongzhi Shi(16), Ping Luo(15), Hengshu Zhu(6), Yuhong Xiong(6), Changying Du(5), Yongchun Zhu(4), Deqing Wang(4), Xin Jin(4), Xiang Ao(4), Tianfeng Shang(3), Xing Xie(3), Ying Sun(3), Zhiyuan Qi(2), Keyu Duan(2), Dongbo Xi(2), Xiaohu Cheng(2), Sinno Jialin Pan(2), Zhiyong Shen(2)