Dr. Andi Chen | Artificial Intelligence | Research Excellence Award
Vice President of the Student Union | Nanjing University | China
Dr. Andi Chen is an emerging researcher in computer science and artificial intelligence, with a strong focus on machine learning, deep learning architectures, and pattern recognition. His research interests center on hybrid quantum-inspired neural networks, particularly the integration of ResNet and DenseNet models to improve feature representation, classification performance, and computational efficiency in complex data environments. He demonstrates solid research skills in AI algorithm design, deep neural network modeling, pattern recognition, data analysis, and experimental evaluation, with applications relevant to intelligent systems and next-generation computing. Dr. Chen’s scholarly contributions include publications in reputable venues such as Neurocomputing, reflecting growing visibility in the AI research community. While no major awards or funded projects are currently reported, his work shows strong potential for future recognition. According to Scopus, his research profile records 3 documents, 1 citation, and an h-index of 1. In conclusion, Dr. Chen’s research trajectory highlights promising contributions to advanced AI methodologies and quantum-inspired intelligent computing.
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Featured Publications
Image Compression and Reconstruction Based on Quantum Network
– IEEE International Parallel and Distributed Processing Symposium, 2024 (Citations: 5)
Hybrid Quantum-Inspired ResNet and DenseNet for Pattern Recognition
– Neurocomputing, 2025 (Citations: 3)
Quantum Sparse Coding and Decoding Based on Quantum Network
– Applied Physics Letters, 2024 (Citations: 1)
A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
– arXiv Preprint, 2025