Dan Zhang

ORCID: 0000-0003-4982-9162
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About
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Research Areas
  • Grey System Theory Applications
  • Advanced Graph Neural Networks
  • Land Use and Ecosystem Services
  • Recommender Systems and Techniques
  • Urban Heat Island Mitigation
  • Urban Green Space and Health
  • Advanced Decision-Making Techniques
  • Advanced Malware Detection Techniques
  • Neural Networks and Applications
  • Network Security and Intrusion Detection
  • Spam and Phishing Detection

Suqian University
2022

Graph Contrastive Learning (GCL), as a primary paradigm of graph self-supervised learning, spurs fruitful line research in tackling the data sparsity issue by maximizing consistency user/item embeddings between different augmented views with random perturbations. However, diversity, crucial metric for recommendation performance and user satisfaction, has received rather little attention. In fact, there exists challenging dilemma balancing accuracy diversity. To address these issues, we...

10.1609/aaai.v39i16.33852 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

Malicious social bots achieve their malicious purposes by spreading misinformation and inciting public opinion, seriously endangering security, making detection a critical concern. Recently, graph-based bot methods have achieved state-of-the-art (SOTA) performance. However, our research finds many isolated poorly linked nodes in networks, as shown Fig.1, which cannot effectively detect. To address this problem, focuses on utilizing node semantics network structure to jointly detect sparsely...

10.48550/arxiv.2406.08762 preprint EN arXiv (Cornell University) 2024-06-12

As people’s awareness of the environment gradually increases and their requirements for comfort living space become higher, landscape design has also ushered in a golden period development. With increasing investment construction urban development, area park green been increasing. A is place that provides recreation relaxation public. However, mere pursuit quality artistic effects without effective cost control will eventually lead to rise costs. Therefore, this study explores main...

10.1155/2022/2762554 article EN cc-by Computational Intelligence and Neuroscience 2022-09-30

In recent years, with the rapid development of key elements and core technologies artificial intelligence, large-scale pre-training model (large model) has achieved remarkable effects. As specific practice progresses large model, it is useful to realize universality generalizability respond strategic goal building a strong framework. From perspective theory, this article explores support points in theories intrinsic subspace, effective complexity, low rank decomposition. We discuss research...

10.1109/ccis57298.2022.10016400 article EN 2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) 2022-11-26
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