教师简介

周斌是山东大学信息科学与工程学院教授,华为昇腾计算业务CTO。他本硕博毕业于清华大学电子工程系,并拥有George Mason University计算机工程硕士学位。他的研究方向包括异构计算系统和体系架构、深度学习和机器学习、并行计算和信号处理、基于深度学习的目标检测、分类、识别和跟踪等研究等。

他曾担任商汤科技深度学习科学家,Novumind全球副总裁, 2013年被评为全球第12位NVIDIA CUDA Fellow ,中国人工智能学会工业人工智能专业委员会第一届副主任委员,2022年荣获浙江省科技进步一等奖。他长期从事异构加速计算方面的研究。他曾在中国科学技术大学、乔治梅森大学等学术机构担任客座或者讲席学者。

周斌教授拥有超过10项的国内外专利,论文20多篇,主持多项重大科研项目,包括GPU版本的天气预报模式Grapes、人脸检测识别系统和视频处理系统、人工智能处理器芯片等。


教育经历
  • 2000-8 — 2004-8
    清华大学
    电子信息工程
    工学学士学位
  • 2004-8 — 2006-8
    清华大学
    信息与通信工程
    工学硕士学位
  • 2007-1 — 2008-8
    乔治梅森大学
    计算机工程
    工学硕士学位
  • 2006-8 — 2011-9
    清华大学
    信息与通信工程
    工学博士学位
研究方向
论文成果

(1) 3DOPFormer: 3D Occupancy Perception from Multi-Camera Images with Directional and Distance Enhancement.IEEE Transactions on Intelligent Vehicles.2023 :1-12

(2) Running ahead of evolution-AI-based simulation for predicting future high-risk SARS-CoV-2 variants.INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS.2022 (1741-2846)

(3) Running ahead of evolution-AI based simulation for predicting future high-risk SARS-CoV-2 variants.bioRxiv.2022

(4) OL-JCMSR: A Joint Coding Monitoring Strategy Recommendation Model Based on Operation Log.MATHEMATICS.2022,10 (13)

(5) Image Segmentation from Sparse Decomposition with a Pretrained Object-Detection Network.ELECTRONICS.2022,11 (4)

(6) Computing infrastructure construction and optimization for high-performance computing and artificial intelligence.CCF Transactions on High Performance Computing.2021

(7) Surveillance Personnel Behavior Analysis Technology based on Operation Log.2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).2021

(8) Multi-transformation Consistency Regularization for Semi-supervised Medical Image Segmentation.2021

(9) 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 Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

(10) 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

(11) Research on pedestrian crossing behaviors at unsignalized multi-lane mid-block crosswalk: a case study in China

(12) Multi-transformation consistency regularization for semi-supervised medical image segmentation.2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)

(13) Performance improvement techniques for geospatial web services in a cyberinfrastructure environment–A case study with a disaster management portal.Computers, Environment and Urban Systems.2015,54 (Nov.):314-325

(14) GPGPU accelerated fast convolution back-projection for radar image reconstruction.Tsinghua Science and Technology

(15) Distributed geospatial information processing: sharing distributed geospatial resources to support Digital Earth.International Journal of Digital Earth

(16) High-performance computing for the simulation of dust storms.Computers, Environment and Urban Systems

(17) Implementations and optimizations of pipeline FFTs on Xilinx FPGAs.2008 International Conference on Reconfigurable Computing and FPGAs

(18) Pipeline FFT architectures optimized for FPGAs.Hindawi Limited London, UK, United Kingdom.2009

专利
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