Dr. Jinhui Lin | Neural Networks | Best Researcher Award
Dr. Jinhui Lin | Neural Networks | Doctor at University of science and technology Beijing | China
Dr. Jinhui Lin is an accomplished researcher at the University of Science and Technology Beijing whose academic contributions and professional achievements demonstrate a strong commitment to advancing the field of computer science and artificial intelligence. He earned his Ph.D. in Computer Science from the University of Science and Technology Beijing, equipping him with a rigorous academic foundation that supports his specialized focus on deep learning, neural networks, quantization techniques, and advanced optimization strategies. Throughout his career, Dr. Jinhui Lin has held academic and research positions that emphasize both independent innovation and collaborative engagement, allowing him to build a research profile that bridges theoretical models with practical implementations in machine learning. His professional experience reflects significant involvement in interdisciplinary projects, particularly in the areas of deep neural network quantization, post-training optimization methods, Gaussian splatting, and multi-view refinement for high-fidelity rendering, each of which has made notable contributions to the broader artificial intelligence research community. Dr. Jinhui Lin’s research interests are diverse yet deeply interconnected, centering on improving the efficiency, accuracy, and deployment of deep neural network models in real-world applications, while also extending into computer vision, pattern recognition, and model compression, areas that are critical for next-generation AI systems. His research skills are demonstrated through a strong command of algorithm design, computational optimization, experimental validation, and cross-disciplinary knowledge integration, enabling him to publish in high-impact journals and reputable international conferences such as the Journal of Engineering Science and IEEE-affiliated proceedings. Among his achievements are influential publications co-authored with leading experts, which have attracted significant citations, showcasing the academic impact and practical relevance of his work. Dr. Jinhui Lin’s awards and honors further highlight his research excellence, with recognition for contributions in artificial intelligence and computer science research, reflecting not only the originality of his studies but also the broader societal relevance of his innovations.
Academic Profile: ORCID | Scopus | Google Scholar
Selected Publications:
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A Survey of Quantization Methods for Deep Neural Network Models – 2023
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Adaptive Rounding Compensation for Post-training Quantization – 2022
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Multi-View Optimization and Refinement for High-Fidelity 4D Gaussian Splatting – 2023