BIN ZHOU
Professor
Dr. Zhou Bin is a professor at the School of Information Science and Engineering of Shandong University, and the CTO of Ascend Computing Business, Huawei. He has B.Sc., M.Sc., and Ph.D. degrees in electronic engineering from Tsinghua University and an M.Sc. in computer engineering from George Mason University. His research covers a wide range of fields, including the heterogeneous computing system and architecture, deep learning and machine le... More+
Paper Publications
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[1] 孙鹏. Multiparameter Joint GNSS Spoofing Detection Based on TSVAE. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 61, 3373, 2025.
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[2] 丁奉乾. Bridging pre-trained models to continual learning: A hypernetwork based framework with parameter-efficient fine-tuning techniques. Information Sciences, 674, 2024.
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[3] . 3DOPFormer: 3D Occupancy Perception from Multi-Camera Images with Directional and Distance Enhancement. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 1-12, 2023.
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[4] . Running ahead of evolution-AI-based simulation for predicting future high-risk SARS-CoV-2 variants. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2022.
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[5] Running ahead of evolution-AI based simulation for predicting future high-risk SARS-CoV-2 variants. bioRxiv, 2022.
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[6] OL-JCMSR: A Joint Coding Monitoring Strategy Recommendation Model Based on Operation Log. MATHEMATICS, 10, 2022.
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[7] Image Segmentation from Sparse Decomposition with a Pretrained Object-Detection Network. ELECTRONICS, 11, 2022.
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[8] Computing infrastructure construction and optimization for high-performance computing and artificial intelligence. CCF Transactions on High Performance Computing, 2021.
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[9] Surveillance Personnel Behavior Analysis Technology based on Operation Log. 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2021.
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[10] Multi-transformation Consistency Regularization for Semi-supervised Medical Image Segmentation. International Conference on Artificial Intelligence and Big Data, 2021.
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[11] Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator. 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Dat...,
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[12] Recognizing terrain features on terrestrial surface using a deep learning model: An example with crater detection. Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery,
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[13] Research on pedestrian crossing behaviors at unsignalized multi-lane mid-block crosswalk: a case study in China.
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[14] Multi-transformation consistency regularization for semi-supervised medical image segmentation. 2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD),
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[15] Performance improvement techniques for geospatial web services in a cyberinfrastructure environment–A case study with a disaster management portal. Computers, Environment and Urban Systems, 54, 314-325, 2015.
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[16] GPGPU accelerated fast convolution back-projection for radar image reconstruction. Tsinghua Science and Technology,
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[17] Distributed geospatial information processing: sharing distributed geospatial resources to support Digital Earth. International Journal of Digital Earth,
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[18] High-performance computing for the simulation of dust storms. Computers, Environment and Urban Systems,
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[19] Implementations and optimizations of pipeline FFTs on Xilinx FPGAs. 2008 International Conference on Reconfigurable Computing and FPGAs,
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[20] Pipeline FFT architectures optimized for FPGAs. Hindawi Limited London, UK, United Kingdom, 2009.