交互式虚拟现实与机器学习实验室 Interactive Virtual reality and Machine leanring Lab
🔥Official Webpage 🔥DBLP 🔥ORCID
🚀期刊论文↑
  1. Wangyu Shen, Wen Zhou, A novel Internet of medical things framework for absorbing bioresorbable vascular scaffold towards healthcare monitoring based on improving YOLO paradigms[J]//Knowledge-based Systems,2025,113696. (CCF-C期刊)[DOI]
  2. Wen Zhou,Wangyu Shen, Xinyi Meng, An improved social force model-driven multiagent generative adversarial imitation learning framework for pedestrian trajectory prediction[J]// Computer Animation and Virtual Worlds, 2025, 36(1): e2035.(CCF-C期刊)[DOI]
  3. 张晨,蒋文英,陈思源, 周文, 闫丰亭, 基于双层DQN的多智能体路径规划算法[J]//中国图象图形学报, 2023,28(7):2167-2181. (通讯作者)[DOI]
  4. Siyuan Chen, Xiaowu Hu, Wenying Jiang, Wen Zhou, Xintao Ding, Novel learning framework for optimal multi-object video trajectory tracking[J]//Virtual Reality and Intelligent Hardware,2023,5(5):422-438.[DOI][cited:1]
  5. W. Zhou, C. Zhang, S. Chen, Dual deep Q-learning network guiding a multiagent path planning approach for virtual fire emergency scenarios[J]//Applied Intelligence, 2023, 53:21858–21874.(CCF-C期刊)[DOI][cited:11]
  6. Huang C., Xu G., Chen S., Zhou Wen, NG E. Y., & de Albuquerque, Victor Hugo C. de Albuquerque, An Improved Federated Learning Approach Enhanced Internet of Health Things Framework for Private Decentralized Distributed Data[J]//Information Sciences, 2022, 614: 138-152. (CCF-B期刊,通讯作者)[DOI]
  7. C. Huang, S. Chen, Y. Zhang, Zhou Wen, J. Rodrigues and V. H. C. de Albuquerque, A robust approach for privacy data protection: IoT security assurance using generative adversarial imitation learning[J]//IEEE Internet of Things Journal,2022,9(18):17089 – 17097. (CCF-C期刊)[DOI][cited:28][IF:6.8/Q1]
  8. Zhou Wen, W. Jiang, B. Jie, W. Bian, Multiagent Evacuation Framework for a Virtual Fire Emergency Scenario Based on Generative Adversary Imitation Learning[J]//Computer Animation and Virtual Worlds, 2022,33(1):e2035. (CCF-C期刊)[DOI][cited:7][IF:1.7/Q3]
  9. Zhou Wen, J. Jia, W. Jiang, C. Huang, Sketch Augmentation-driven Shape Retrieval Learning Framework Based on Convolutional Neural Networks[J]//IEEE Transactions on Visualization and Computer Graphics, 2021,27(8):3558 – 3570. (CCF-A期刊)[DOI][cited:8]
  10. Zhou Wen, J. Jia, Training convolutional Neural Network for sketch recognition on large-scale datasets[J]//The International Arab Journal of Information Technology,2020,17(1):82-89. (SCI).[DOI][cited:9]
  11. Zhou Wen, J. Jia,Training Deep Convolutional Neural Networks to Acquire the Best View of a 3D Shape[J]//Multimedia Tools and Applications. 2020, 79(1):581-60 (CCF-C期刊)[DOI][cited:4]
  12. W. Zhou, J. Jia, C. Huang, Y. CHENG,Web3D learning framework for 3D Shape retrieval based on hybrid Convolutional Neural Networks[J]//Tsinghua Science and Technology,2020, 25(1): 93-102.[DOI][cited:22]
  13. Zhou Wen, J. Jia, A Learning Framework for Shape Retrieval Based on Multilayer Perceptrons[J]//Pattern Recognition Letters , 2019,1(117):119-130.(CCF-C期刊)[DOI][cited:22][IF:3.3/Q2]
  14. 周文,贾金原,一种SVM学习框架下的Web3D轻量级模型检索算法[J]//电子学报,2019,47(1):92-99.[DOI][cited:4]
  15. Zhou Wen, K. TANG, J. Jia, S-LPM: Segmentation Augmented Light-weighting and Progressive Meshing for the Interactive Visualization of Large Man-made Web3D Models[J]//World Wide Web Journal, 2018,21(5):1425–1448 (CCF-B期刊)[DOI][cited:11][IF:3.4/Q2]
  16. Zhou Wen, Jia J, Su X, A novel compression-driven lightweight framework for medical skeleton model visualization[J]// IEEE Access, 2018, 6: 47627-47635.
  17. Huang C, Zhou W*, Lan Y, et al, A novel WebVR-based lightweight framework for virtual visualization of blood vasculum[J]// IEEE Access, 2018, 6: 27726-27735.
  18. Huang C, Lan Y, Liu Y, Zhou Wen,et al, A new dynamic path planning approach for unmanned aerial vehicles[J]// Complexity, 2018, 2018(1): 8420294.
  19. 周文, 贾金原. 启发式轮廓线不变的网格自适应简化算法[J]//系统仿真学报, 2016, 28(9): 2176-2185.[WEB]
  20. 周文,贾金原,温来祥,等,轻量级三维模型素材库及其关键技术的研究[J]//系统仿真学报, 2015, 27(10): 2514-2524.[WEB]
  21. 赵双燕,贾金原,周文,Web3D家居素材库的轻量化技术研究[J]//郑州大学学报(工学版),2019,40(01):12-17.[WEB]
🚀会议论文↑
  1. Wangyu Shen, Wen Zhou, Focus-YOLO: An improved multiobject analysis framework for crop monitoring and pest prevention[C]//International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE 2025),September,2025,Hiroshima University,Japan.
  2. Chuanyu Yao, Wen Zhou,Attention Graph Neural Controlled Differential Equations approach for Traffic Flow Forecasting[C]//The 6th International Conference on Pattern recognition and Machine learning (PRML 2025)June 2025,Chongqing,China.[DOI]
  3. Wangyu Shen, Xinyi Meng, Wen Zhou,Multiagent Virtual Community Drill Approach Based on A3C Paradigm[C]//The 6th International Conference on Computer Science,Engineering, and Education (CSEE 2025),Feburary,2025,Nanjing,China.[DOI]
  4. Wen ZHOU, Jinyuan JIA,S-LCM: Compression-driven Web3D Lightweight framework for Mesh Visualization [C]// Proceedings - 2017 International Conference on Virtual Reality and Visualization (ICVRV 2017) (EI, 20192407048176)[DOI]
  5. Wen ZHOU, Jinyuan JIA and Shuang Liang,View-dependent simplification for Web3D triangular mesh based on voxelization and saliency[C]//Proceedings - 2016 International Conference on Virtual Reality and Visualization(ICVRV 2016), 2017: 280–285.(EI,20173003980152)[DOI]
  6. Wen ZHOU , Jinyuan JIA, Lightweight Web3D Visualization Framework Using Dijkstra-Based Mesh Segmentation[C]//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017:138–151. (EI,20174404357376)[DOI]
🚀科研项目↑
  1. 国家自然科学基金青年项目 (No.61902003) ,面向WebVR的轻量级三维模型检索关键技术研究,2020.1-2022.12,主持 (已结题)
  2. 安徽省高校科研重点项目(No.2023AH050142),面向虚拟场景的虚实融合学习和交互方法的研究,2023.9-2026.8,主持 (在研)
  3. 国家自然科学基金面上项目(No.61976006),面向功能磁共振成像的动态脑网络分析及应用研究,2020.1-2023.12,参与 (已结题)
🚀教研论文↑
  1. 周文.多媒体技术教学方法的探索[J]//电脑知识与技术,2019,15(10):184-185.[DOI]
  2. 周文,数字图像处理课程实践能力培养的教学改革探索[J]//电脑知识与技术,2024,20(1):173-176.[DOI]
  3. 周文,数字图像处理课程中工程实践创新教学研究的初探[J]//计算机技术与教育学报,2025,13(1):47-52.[DOI]
🚀教研项目↑
  1. 安徽师范大学人工智能赋能课程教材研究资助课题(校教务处〔2025〕37号),面向新工科的AI+XR融合课程教材体系构建与实践,2025-2028.(主持)
  2. 安徽省质量工程一般项目(No. 2022jyxm563),数字图像处理课程多元混合式教学方法的探索与实践,2023-2025.(主持)
  3. 安徽师范大学教研项目(校教字〔2020〕44 号),'新工科'建设背景下人工智能专业教学模式的研究,2022-2024.(主持)
  4. 安徽省质量工程虚拟仿真实验教学课程(No.2020xfxm23), 计算机组成虚拟实验,2022-2024.(参与)
  5. 安徽省质量工程教学团队(皖教秘高[2020]155号),计算机系统能力培养教学团队, 2020-2022.(参与)
  6. 安徽师范大学教研项目教学团队(校教字〔2020〕44 号),程序设计基础, 2020-2022.(参与)
🚀专利与软著↑
  1. 虚拟火灾逃生演练系统V1.0. (软著登记号:2022SR0438966)[PDF]
  2. 虚拟教室自动布局设计系统v1.0. (软著登记号:2022SR0973155)[PDF]
  3. 基于社交媒体文本分析的区域交通事件实时检测与预警系统(软著登记号:2025SR0563810)[PDF]
🚀学术审稿↑
  1. 2018-now: IEEE Access
  2. 2018-now: Journal of Grid computing
  3. 2020-now: Virtual Reality & Intelligent Hardware
  4. 2021-2025: PC member of the International symposium on Emerging Technologies for Education (SETE)
  5. 2022-2025: PC member of the ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI)
  6. 2022-2025: PC member of The International Conference on Virtual Reality (ICVR)
  7. 2024-now: Knowledge-based Systems
  8. 2025:Engineering science and technology, an international journal
  9. 2025:Process safety and environmental protection.
  10. 2025:程序委员会委员第十届中国图学大会(China Graphics'2025)
🚀数据集↑
  1. 医学配准数据集
    1. OASIS: brain数据集,T1w MRI, Alzheimer’s disease【下载
    2. DIR-Lab: Lung数据集,Breath-hold and 4DCT, Alzheimer’s disease【下载
    3. IXI: brain数据集,T1w, T2w, PDw MRI, 【下载
    4. Lung-CT: 肺部数据集,Inspiratory, expiratory CT, 【下载
    5. ACROBAT: Breast数据集,Pathological images, 【下载
    6. Abdomen-MR-CT: 腹部数据集,CT|MR, 【下载
    7. MM-WHS: 心脏数据集,CT|MRI, 【下载
    8. ACDC: 心脏数据集,4D cine-MRI, 【下载
    9. 更多...
  2. 血管支架Stent OCT
    • Train: 276 OCT images and mask json files, total 342MB
    • Test: 42 OCT images, total 121MB
  3. Car_Damage_detection Dataset
    • Detection based on Box and Mask, including, box: train: 2816 images,test: 374 images,val:810 images, total 4000 images.
  4. Chinese characters classification Dataset(CASIA)
    • 汉字识别数据集.
  5. Eth/UCY Trajectories Dataset
    • ETH/UCY数据集
  6. PEMS California highway flow Dataset
    • PEMS US.California公路数据集,PEMS03/PEMS04/PEMS07/PEMS08.
  7. Britain train Station grandcenter Dataset (GC dataset)
🚀链接↑
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Latest updated: 2025-12-08 14:22