期刊论文

  1. Siyuan Chen, Xiaowu Hu, Wenying Jiang, Wen Zhou*, Xintao Ding, "Novel learning framework for optimal multi-object video trajectory tracking"[J], Virtual Reality & Intelligent Hardware,2023,5(5):422-438. (EI, 通讯作者)[paper][doi]
  2. 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  (SCI, CCF-C类期刊)[paper][doi]
  3. 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.Information Sciences, 2022, 614: 138-152. (SCI, CCF-B类期刊，通讯作者)[paper][doi]
  4. 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(07):2167-2181. (CCF-B类中文期刊，通讯作者)[paper][doi]
  5. C. Huang, S. Chen, Y. Zhang, W. Zhou*, J. J. P. C. 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(SCI 1区, Corresponding author 通讯作者)[paper][doi].
  6. W. Zhou,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. (SCI, CCF-C期刊,WOS:000713866500001)[paper][doi]
  7. W. Zhou, 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. (SCI, CCF-A期刊,WOS:000668831500016)[paper][doi]
  8. W. Zhou, J. Jia “Training Deep Convolutional Neural Networks to Acquire the Best View of a 3D Shape” [J]. Multimedia Tools and Applications. 2020, 79(1):581-601 (SCI, CCF-C期刊，EI: 20193007231156, WOS:000517987600023) [paper][doi]
  9. W. ZHOU, W. JIANG, W. BIAN, B. JIE “WebVR Human-centered Indoor Layout Design Framework using a Convolutional Neural Network and Deep Q-learning” [J]. IEEE Access, 2019, 7(1):185773-185785(SCI, WOS:000510024300003)[paper][doi]
  10. 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 ,2019, 25(1): 93-102(SCI, EI: 20193007231156，WOS:000516758000009).[paper][doi]
  11. W. ZHOU, F. CHEN, Y. ZONG, D. ZHAO, B. JIE, Z. WANG, C. HUANG, Eddie Y.K N.G. “Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-shaped Convolutional Neural Network[J]”. IEEE Access. 2019，7(1):94424 - 94430 (SCI，WOS:000478676600022).
  12. W. ZHOU, J. JIA “Training convolutional Neural Network for sketch recognition on large-scale datasets” [J]. International Arab Journal of Information Technology，2020,17(1):82-89. (SCI，WOS:000504051200011).[paper][doi]
  13. W. ZHOU, J. JIA, “A Learning Framework for Shape Retrieval Based on Multilayer Perceptrons” [J]. Elsevier, Pattern Recognition Letters, 2019,1(117):119-130. (SCI，CCF-C类期刊，WOS:000455196900017, IF : 1.952).[paper][doi]
  14. W. ZHOU, J. JIA, X. SU “A Novel Compression-driven Lightweight Framework for Medical Skeleton Model Visualization” [J]. IEEE Access, 2018(6):47627-47635(SCI，WOS:000445427300001).
  15. W. ZHOU, K. TANG, J. JIA “S-LPM: Segmentation Augmented Light-weighting and Progressive Meshing for the Interactive Visualization of Large Man-made Web3D Models” [J]. Springer, World Wide Web Journal, 2018,21(5):1425–1448(SCI, CCF-B类期刊, WOS: 000442231700010)[paper][doi]
  16. C. Huang, Yisha Lan, Sirui Chen, Qing Liu, Xin Luo, Gaowei Xu, W. Zhou, Fan Lin, Yonghong Peng, Eddie Y. K. Ng, Yongqiang Cheng, Nianyin Zeng, Guokai Zhang, and Wenliang Che “Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography”[J]. Complex, 2019:01-10. (SCI，WOS:000506022200001)
  17. Gaowei Xu, Yisha Lan, W. ZHOU, et al. An IoT-Based Framework of WebVR Visualization for Medical Big Data in Connected Health[J]//IEEE Access,2019(7):173866-173874. (SCI)
  18. Chenxi HUANG, W. Zhou, Yisha LAN, Fei CHEN, Yongtao HAO, Yongqiang CHENG, Yonghong PENG. “A Novel WebVR-based Lightweight Framework for Virtual Visualization of Blood Vasculum”[J].IEEE Access, 2018(6):27726-27735(SCI，WOS:000435513600001, IF: 3.557).
  19. Chenxi Huang, Yisha Lan, Yuchen Liu, W. Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao,Yonghong Peng. A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles[J], Complexity, November 2018,2018(3):1-17. (SCI, WOS:000450219600001，IF：1.829)
  20. M.WANG, B.JIE, W. Bian, X. DING, W. Zhou et al. Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks[J], IEEE Access,2019(7):35001-350011. (SCI)
  21. 周文 等 “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. (EI, 20191406739053).[paper][doi]
  22. W. Zhou, J. JIA. “S-LCM: Compression-driven Web3D Lightweight framework for Mesh Visualization” [C]. Proceedings - 2017 International Conference on Virtual Reality and Visualization (ICVRV 2017),2019:315-320 (EI, 20192407048176)
  23. W. ZHOU, J. JIA , S. 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)
  24. W. ZHOU, J. 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)
  25. 周文等.“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(9):2176-2185.
  26. 周文等.“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(10):2514-2524.
  27. 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(1):12-17.

主要科研项目

  1. 国家自然科学基金青年项目NSFC (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 (结题)
  2. 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 (结题)
  3. 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",2023.9-2025.8,主持 (在研)

教研项目

  1. 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
  2. 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
  3. 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
  4. 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, 2022-2025, 参与

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][cnki]
  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][cnki]

发明专利

  1. 一种虚拟火灾场景下多智能体情景规划方法.(申请号：202110978546.4)
  2. 一种面向 Web3D 的人造模型网页轻量级可视化方法.(申请号：201811446227.3)
  3. 新一代云技术框架下海量三维模型集成平台.(申请号：201811590873.7)
  4. 基于循环神经网络的虚拟现实场景下人机交互方法及系统.(申请号：201811592245.2)

  1. 虚拟火灾逃生演练系统V1.0. (登记号：2022SR0438966)
  2. 虚拟教室自动布局设计系统v1.0. (登记号：2022SR0973155)

学术审稿

  • 2018-now: IEEE Access
  • 2018-now: Journal of Grid computing
  • 2020-now: Virtual Reality & Intelligent Hardware
  • 2022-now: 计算机学报
  • 2023-now: Knowledge-based System
  • 2021-2022: PC member of the 6TH, and 7TH International Symposium on Emerging Technologies for Education (SETE)
  • 2022-2023: PC member of the 2022 18th ACM SIGGRAPHlnternational Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI2022)
  • 2022-2023: PC member of 2023 9th International Conference on Virtual Reality (ICVR 2023)
  • 2023: PC member of 2023 COMPUTER GRAPHICS INTERNATIONAL (CGI 2023)
  • 2024-now: ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)
  • 2023-2024: PC member of 10th International Conference on Virtual Reality (ICVR 2024), Bournemouth, UK, July 20-22,2024

Latest update by March 2024