蔡珣，博士，教授 ，硕博导师

主要从事计算机领域以及和材料计算交叉学科领域的研究，研究方向主要包括：机器学习、人工神经网络及深度学习、材料计算、图像处理及识别和工业软件仿真等。

在《计算机学报》、《电子学报》、 《计算机研究与发展》、《Neural Processing Letters》、《IEEE TMM》等国际国内A级及ACM MM、ICASSP、IJCNN、CVPR等计算机人工智能领域CCF认可的及国际重要会议上发表SCI 和EI收录近50篇，授权第一发明专利15项，登记软著11项，参与国家自然科学基金面上项目“Web图像的语义表示及在聚类和排序中的应用”，主持省科技攻关项目1项-“高性能PAN原丝制备工艺计算机模拟和信息管理系统”，主持国家重大研发计划子课题1项-“AUV智慧型复合材料壳体设计与加工”，参与国家基金面上项目“高性能碳纤维原丝制备工艺人工智能优化技术研究”，参与省重点研发计划1项，参与国家级“863”计划若干项及横向课题10余项，主编十二五规划教材-“材料处理工艺计算机控制”，获山东省科技进步一等奖2项，二等奖1项，中国纺织联合会科技进步二等奖1项，山东省新材料产业智能制造大赛一等奖等。

在教学上，自1997秋年入校以来，主讲过的本科课程主要有《数字信号处理原理》（双语）、《机器学习》（双语）、《机器学习课程设计》、《多媒体信息处理》（双语）、《Python语言及大数据分析》、《智能制造》、《自动驾驶及机器学习》、《计算机网络及应用》、《数据仓库》、《自动驾驶》、《C语言》、《计算思维》、《计算机文化基础》等13门课程。

2025年招生：学术型硕士3名，专业型硕士2名，欢迎广大考生报名！

电子邮箱：caixunzh@sdu.edu.cn; QQ邮箱：1250066965@qq.com

• 1989-09-01-1993-07-01
  山东工业大学
  工业自动化
• 1999-09-01-2002-12-01
  山东大学
  计算机应用
• 2003-09-22-2007-06-22
  山东大学
  软件与理论

• 2018-01 — 2500-01
  山东大学软件学院
• 2003-01 — Now
  计算机科学与技术学院山东大学
  副教授
• 2009-08 — 2010-09
  电子电力系美国德克萨斯大学阿灵顿分校
  访问学者
• 1997-01 — 2001-09
  计算机系山东工业大学
  讲师
• 1993-07 — 1997-03
  信息科济南市农行历下区支行
  科员

1. 图像视频处理及识别

2. 人工智能

(1)蔡珣. An Optimization based on Cyclic Check Network for the Process Simulation of Polyacrylonitrile .International Joint Conference on Neural Networks .2025

(2)王天佑. A Fourier priors-Guided Diffusion Model for Image Harmonization with Structure-Preservation and Illumination-Consistency .IEEE International Conference on Multimedia& Expo .2025

(3)高艳博. Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation .IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY .2025 (10.1109/TCSVT.2025.3580746)

(4)蔡珣. A Bi-Directional Prediction based on Multi-Stage Deep Multilayer Perceptron for the Productive Process of Polyacrylonitrile Precursor .27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024 .2024 :705-710

(5)高艳博. Position-Guided Multi-Head Alignment and Fusion for Video Super-Resolution .ELECTRONICS .2024 ,13 (22)

(6)高艳博. Approximately Invertible Neural Network for Learned Image Compression .IEEE Transaction on Image processing .2025 (0)

(7)高艳博. Color and Geometric Contrastive Learning Based Intra-Frame Supervision for Self-Supervised Monocular Depth Estimation .IEEE Signal Processing Letters .2024 ,31 (31)

(8) MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation .IEEE Conference on Computer Vision and Pattern Recognition (CVPR) .2025

(9)李帅. Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis .ACM International Conference on Multimedia .2022

(10)孙娜. 3-isocyanatopropyltriethoxysilane block-graft engineering tailoring carbon fiber surface to manipulate interface properties of carbon fiber/polyamide 6 composites .Colloids and Surfaces A: Physicochemical andEngineering Aspects .2024 ,682 (1)

(11)蔡珣. A Bi-Directional Prediction based on Multi-Stage Deep Multilayer Perceptron for the Productive Process of Polyacrylonitrile Precursor .The 27th IEEE International Conference on Computer Supported Cooperative Work in Design .2024

(12)袁晓敏. High-performance and stable potassium-sulfur batteries enabled by free-standing CNTs film-based composite cathodes .Journal of Electronic Materials .2021 (50)

(13)袁晓敏. Feasible Catalytic-Insoluble Strategy Enabled by Sulfurized Polyacrylonitrile with In Situ Built Electrocatalysts for Ultrastable Lithium–Sulfur Batteries .ACS Applied Materials & Interfaces .2021 (13)

(14)袁晓敏. Free-standing, flexible and stable potassium-sulfur battery enabled by controllable porous carbon cloth .JOURNAL OF POWER SOURCES .2020 (480)

(15)袁晓敏. Tunable synthesis of biomass-based hierarchical porous carbon scaffold@MnO2 nanohybrids for asymmetric supercapacitor .Chemical Engineering Journal .2019 ,393

(16)袁晓敏. Free-standing, flexible and stable potassium -sulfur battery enabled by controllable porous carbon cloth .JOURNAL OF POWER SOURCES .2020 ,480

(17)袁晓敏. Electrochemical Insights, Developing Strategies, and Perspectives toward Advanced Potassium-Sulfur Batteries .Small .2020 ,16 (42)

(18)蔡珣. A Structure-Preserving and Illumination-Consistent Cycle Framework for Image Harmonization .IEEE Transaction on Multimedia .2023 ,26 (1):51

(19)闫书涵. Photocatalytic Application of TiO2-Loaded Viscose-Based Activated Carbon Fibers Composite Catalyst: Degradation of Low Concentration Formaldehyde and Simultaneous Anti-Microbe .ECS Journal of Solid State Science and Technology .2021 ,10 (1)

(20)张烨. Rapid In Situ Polymerization of Polyacrylonitrile/Graphene Oxide Nanocomposites as Precursors for High-Strength Carbon Nanofibers .ACS Applied Materials & Interfaces .2021 ,13 (14):16846

(21)虞军伟. Precise control of ultramicropore structure of activated carbon fiber for the application of Cu(II) adsorption/electro-adsorption .JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING .2021 ,9 (4)

(22)袁晓敏. High-Performance Stable Potassium-Sulfur Batteries Enabled by Free-Standing CNT Film-Based Composite Cathodes .Journal of ELECTRONIC MATERIALS .2021 (00)

(23)袁晓敏. Recent advance of biomass-derived carbon as anode for sustainable potassium ion battery .Chemical Engineering Journal .2021 ,405

(24)袁晓敏. Biomass bone-derived, N/P-doped hierarchical hard carbon for high-energy potassium-ion batteries .Materials Research Bulletin .2021 ,139 (00)

(25)蔡珣. Deep Marginal Fisher Analysis based CNN for Image Representation and Classification .ACM MM'21 .2021

(26)蔡珣. A Novel Gaussian–Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction .Neural Processing Letters .2019 ,49 (1):305

(27)蔡珣. Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction .2016

(28)蔡珣. 二阶Newton法训练RBF神经网络算法研究 .《计算机研究与发展》 .2015

(29)蔡珣. An Efficient Conjugate Gradient Based Learning Algorithm For Multiple Optimal Learning Factors of Multilayer Perceptron Neural Network .proceeding: 2014 International Joint Conference on Neural Networks (IJCNN),2014 .2014

(30)蔡珣. 基于支持向量机的多特征彩色图像边缘检测 .计算工程与设计 .2012 ,33 (2):639

(31)蔡珣. Training multilayer perceptron by using optimal input normalization .Proceeding of 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 .2011 :2771

(32)蔡珣. A new neural network algorithm based on conjugate gradient and output weight optimization .2011 7th International Conference on Natural Computation, ICNC 2011 .2011 :38

(33)蔡珣. An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation .2011 :3120

(34)蔡珣. 一种基于物理反射模型颜色不变性的阈值分割算法 .《中国计算机学报》 .2009 ,32 (2):282

(35)蔡珣. Background color constancy algorithm based on neural network .2009 ,2 :272

(36) A new region Gaussian background model for video surveillance .4th International Conference on Natural Compu .2008 ,6 (1):123

(37)蔡珣. A new image segmentation for virtual background reconstruction .Chinese Journal of Electronics(电子学报英文版) .2008 ,17 (2):223

(38) 一个新的基于区域的高速公路多车辆跟踪方案 .《光电工程》 .2006 ,33 (6):20

(39) Video-based Virtual-Reality Game System .《Journal of Computational Information Systems》 .2006 ,2 (2):745

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