百晓学者学者目录

唐振民

南京理工大学计算机科学与工程学院

个人简介

唐振民，南京理工大学计算机科学与工程学院教授、博士生导师，研究方向为计算机软件及计算机应用、自动化技术、无线电电子学，主要从事智能机器人、模式识别、计算机视觉等领域研究。

精选作品

期刊论文

  1. 吴汶憶，张二华，唐振民（2025）. 基于分层聚类算法的说话人识别. 《计算机与数字工程》.
  2. 李勇，张二华，唐振民（2025）. 基于麦克风线阵的语音分离算法研究. 《计算机与数字工程》.
  3. Yifan Wu, Erhua Zhang, Chunxia Hou, Zhenmin Tang (2025). Speaker Recognition Based on Locality Sensitive Hashing. Lecture notes in computer science.DOI
  4. Yiyou Gao, Zeren Sun, Yazhou Yao, Xiruo Jiang, Zhenmin Tang (2024). Delving Deeper Into Clean Samples for Combating Noisy Labels. Lecture notes in computer science.DOI
  5. Erhua Zhang, Yifan Wu, Zhenmin Tang (2024). SC-EcapaTdnn: ECAPA-TDNN with Separable Convolutional for Speaker Recognition. IFIP advances in information and communication technology.DOI
  6. 侯锐，唐振民（2023）. 基于深度学习的多步骤道路遗留物检测方法. 《计算机与数字工程》.
  7. 赵婷婷，张二华，唐振民（2023）. 基于循环神经网络的声学模型研究. 《计算机与数字工程》.
  8. 李黎，张二华，唐振民（2023）. 基于ASA的单声道双人混合语音浊音分离. 《计算机与数字工程》.
  9. 杨鑫，王琼，姚亚洲，唐振民（2023）. 基于Faster R-CNN改进的光学遥感图像飞机检测. 《激光与光电子学进展》.
  10. 陈秉沃，张二华，唐振民（2023）. 基于模型聚类的说话人识别研究. 《计算机与数字工程》.
  11. 倪广义，唐振民（2023）. 基于深度学习的高速公路团雾检测方法. 《计算机与数字工程》.
  12. Zeyu Jia, Yichao Zhou, Xiyuan Hu, Zhenmin Tang (2023). SCGRNet: shape completion-guided registration network for face point cloud.DOI
  13. Zhenhuang Cai, Huafeng Liu, Dan Huang, Yazhou Yao, Zhenmin Tang (2023). Co-mining: Mining informative samples with noisy labels. Signal Processing.DOI
  14. 汤爽，张二华，唐振民（2022）. 基于小波包的回放语音检测算法. 《计算机与数字工程》.
  15. 郑睿智，盛猛猛，蔡鑫浩，姚亚洲，唐振民，王琼（2022）. 基于深度学习的农田害虫目标检测算法的研究与应用. 《数学建模及其应用》.
  16. Xiangrui Li, Andong Wang, Xiyuan Hu, Zhenmin Tang (2022). Orientation Invariant Tensor Completion In Both Spectual And Space Domains. IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).DOI
  17. Yi Wang, Xiaobo Shen, Zhenmin Tang, Ming Zhang (2022). Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval. IET Computer Vision.DOI
  18. Guhua Chen, Gensheng Pei, Yin Tang, Tao Chen, Zhenmin Tang (2022). A Novel Multi-Sample Data Augmentation Method for Oriented Object Detection in Remote Sensing Images. IEEE International Workshop on Multimedia Signal Processing (MMSP).DOI
  19. Zhenhuang Cai, Guo-Sen Xie, Xingguo Huang, Dan Huang, Yazhou Yao, Zhenmin Tang (2022). Robust learning from noisy web data for fine-Grained recognition. Pattern Recognition.DOI
  20. Qingze Yin, Guan’an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang (2022). Rapid Person Re-Identification via Sub-space Consistency Regularization. Neural Processing Letters.DOI
  21. Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang (2022). Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation. Lecture notes in computer science.DOI
  22. Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, Zhenmin Tang (2022). Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. IEEE Transactions on Multimedia.DOI
  23. Qingze Yin, Guan’an Wang, Jinlin Wu, Haonan Luo, Zhenmin Tang (2022). Dynamic Re-Weighting and Cross-Camera Learning for Unsupervised Person Re-Identification. Mathematics.DOI
  24. Yuhua Ding, Zhenmin Tang, Fei Wang (2022). Single-Sample Face Recognition Based on Shared Generative Adversarial Network. Mathematics.DOI
  25. 徐启文，唐振民，姚亚洲（2021）. 基于改进SURF算法的图像拼接研究. 《南京理工大学学报》.DOI
  26. Chuanyi Zhang, Qiong Wang, Guo-Sen Xie, Qi Wu, Fumin Shen, Zhenmin Tang (2021). Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition. IEEE Transactions on Multimedia.DOI
  27. Chen Wang, Yazhou Yao, Qiong Wang, Zhenmin Tang (2021). Local Self-Attention on Fine-grained Cross-media Retrieval. ACM Multimedia Asia (MMAsia).DOI
  28. Chuanyi Zhang, Yazhou Yao, Xing Xu, Jie Shao, Jingkuan Song, Zechao Li, Zhenmin Tang (2021). Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition. ACM International Conference on Multimedia (ACM MM).DOI
  29. Huafeng Liu, Haofeng Zhang, Jianfeng Lu, Zhenmin Tang (2021). Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection. IEEE Transactions on Multimedia.DOI
  30. Zeren Sun, Huafeng Liu, Qiong Wang, Tianfei Zhou, Qi Wu, Zhenmin Tang (2021). Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise. IEEE Transactions on Multimedia.DOI
  31. Tao Chen, Shuihua Wang‎, Qiong Wang, Zheng Zhang, Guo-Sen Xie, Zhenmin Tang (2021). Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation. IEEE Transactions on Multimedia.DOI
  32. Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xian‐Sheng Hua (2021). Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology.DOI
  33. Yimeng Zhang, Xiuyi Jia, Zhenmin Tang (2021). Information-theoretic measures of uncertainty for interval-set decision tables. Information Sciences.DOI
  34. Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang (2021). Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.DOI
  35. Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang (2021). Jo-SRC: A Contrastive Approach for Combating Noisy Labels. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.DOI
  36. Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang (2021). Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation. IEEE Transactions on Multimedia.DOI
  37. Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang (2021). Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. IEEE Transactions on Multimedia.DOI
  38. Qingze Yin, Guan’an Wang, Guodong Ding, Shaogang Gong, Zhenmin Tang (2021). Multi-View Label Prediction for Unsupervised Learning Person Re-Identification. IEEE Signal Processing Letters.DOI
  39. 李业良，张二华，唐振民（2020）. 基于混合式注意力机制的语音识别研究. 《计算机应用研究》.DOI
  40. Jin Seong Hong, Haonan Luo, Yazhou Yao, Zhenmin Tang (2020). Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval. International Conference on Vision, Image and Signal Processing (ICVISP).DOI
  41. Chuanyi Zhang, Yazhou Yao, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu (2020). Data-driven Meta-set Based Fine-Grained Visual Recognition. ACM International Conference on Multimedia (ACM MM).DOI
  42. Zeren Sun, Yazhou Yao, Jimin Xiao, Lei Zhang, Jian Zhang, Zhenmin Tang (2020). Exploiting textual queries for dynamically visual disambiguation. Pattern Recognition.DOI
  43. Jiarou Lu, Huafeng Liu, Yazhou Yao, Shuyin Tao, Zhenmin Tang, Jianfeng Lu (2020). Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation. IEEE International Conference on Multimedia and Expo (ICME).DOI
  44. Tao Chen, Jian Zhang, Guo-Sen Xie, Yazhou Yao, Xiaoshui Huang, Zhenmin Tang (2020). Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation. IEEE International Conference on Multimedia and Expo (ICME).DOI
  45. Chuanyi Zhang, Yazhou Yao, Jiachao Zhang, Jiaxin Chen, Pu Huang, Jian Zhang, Zhenmin Tang (2020). Web-Supervised Network for Fine-Grained Visual Classification. IEEE International Conference on Multimedia and Expo (ICME).DOI
  46. Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang (2020). Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  47. Yuhua Ding, Fan Liu, Zhenmin Tang, Tao Zhang (2020). Uniform Generic Representation for Single Sample Face Recognition. IEEE Access.DOI
  48. Pengzhen Du, Zeren Sun, Yazhou Yao, Zhenmin Tang (2020). Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification. IEEE Access.DOI
  49. 张二华，王明合，唐振民（2019）. 加性噪声条件下鲁棒说话人确认. 《电子学报》.
  50. 张倚萌，贾修一，唐振民（2019）. 基于条件信息熵的区间集决策信息表不确定性度量. 《南京理工大学学报》.DOI
  51. 诸葛程晨，许劲松，唐振民（2019）. 基于支持向量机的局部路径规划算法. 《哈尔滨工程大学学报》.
  52. 应海宁，唐振民，韩旭（2019）. 基于两次聚类的PWARX驾驶行为辨识模型. 《重庆交通大学学报(自然科学版)》.
  53. Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao (2019). SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. IEEE/CVF International Conference on Computer Vision (ICCV).DOI
  54. Yuhua Ding, Fan Liu, Ting Rui, Zhenmin Tang (2019). Patch based Semi-supervised Linear Regression for Face Recognition. KSII Transactions on Internet and Information Systems.DOI
  55. Huafeng Liu, Yazhou Yao, Zeren Sun, Xiangrui Li, Ke Jia, Zhenmin Tang (2019). Road segmentation with image-LiDAR data fusion in deep neural network. Multimedia Tools and Applications.DOI
  56. Yimeng Zhang, Xiuyi Jia, Zhenmin Tang, Xianzhong Long (2019). Uncertainty measures for interval set information tables based on interval δ-similarity relation. Information Sciences.DOI
  57. Guodong Ding, Shanshan Zhang, Salman Hameed Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli (2019). Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification. IEEE Transactions on Multimedia.DOI
  58. Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang, Wankou Yang (2019). Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image. Pattern Recognition Letters.DOI
  59. Fei Ma, Xiao‐Yuan Jing, Xiao Ke Zhu, Zhenmin Tang, Zhiping Peng (2019). True-Color and Grayscale Video Person Re-Identification. IEEE Transactions on Information Forensics and Security.DOI
  60. Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang (2019). Statistical performance of convex low-rank and sparse tensor recovery. Pattern Recognition.DOI
  61. Yuan Zhang, Qiong Wang, Zhenmin Tang (2019). Pedestrian Attribute Recognition with Occlusion in Low Resolution Surveillance Scenarios. Studies in computational intelligence.DOI
  62. Guodong Ding, Salman Khan, Zhenmin Tang, Fatih Porikli (2019). Feature mask network for person re-identification. Pattern Recognition Letters.DOI
  63. Guodong Ding, Salman Hameed Khan, Zhenmin Tang (2019). Dispersion based Clustering for Unsupervised Person Re-identification.
  64. Yichao Zhou, Zhenmin Tang, Lianyong Qi, Xuyun Zhang, Wanchun Dou, Shaohua Wan (2019). Intelligent Service Recommendation for Cold-Start Problems in Edge Computing. IEEE Access.DOI
  65. Yuan Zhang, Qiong Wang, Zhenmin Tang (2019). Pedestrian Attribute Recognition with Occlusion in Low Resolution Surveillance Scenarios. The Internet of Things.
  66. 蔡云飞，石庭敏，唐振民（2018）. 基于双多线激光雷达的非结构化环境负障碍感知技术. 《自动化学报》.DOI
  67. 张玉雪，唐振民，钱彬，徐威（2018）. 基于稀疏表示和多特征融合的路面裂缝检测. 《计算机科学》.
  68. Ying He, Xiaoping Guang, Zhenmin Tang, Ying He (2018). Design and Realization of Vehicle Navigation and Monitoring System Based on GPS and GIS. International Conference on Computer Science and Application Engineering.DOI
  69. Huafeng Liu, Xiaofeng Han, Xiangrui Li, Yazhou Yao, Pu Huang, Zhenmin Tang (2018). Deep representation learning for road detection using Siamese network. Multimedia Tools and Applications.DOI
  70. Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang (2018). Robust CNN-based Gait Verification and Identification using Skeleton Gait Energy Image. Digital Image Computing: Techniques and Applications.DOI
  71. Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao (2018). Extracting Privileged Information for Enhancing Classifier Learning. IEEE Transactions on Image Processing.DOI
  72. Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian‐Sheng Hua, Zhenmin Tang (2018). Extracting Privileged Information from Untagged Corpora for Classifier Learning. International Joint Conference on Artificial Intelligence.DOI
  73. Guodong Ding, Shanshan Zhang, Salman A. Khan, Zhenmin Tang (2018). Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification. IEEE International Conference on Multimedia & Expo Workshops (ICMEW).DOI
  74. Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao (2018). Extracting Multiple Visual Senses for Web Learning. IEEE Transactions on Multimedia.DOI
  75. Yazhou Yao, Wankou Yang, Pu Huang, Qiong Wang, Yunfei Cai, Zhenmin Tang (2018). Exploiting textual and visual features for image categorization. Pattern Recognition Letters.DOI
  76. Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang, Zhenmin Tang (2018). Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  77. Lu Zhao, Guangwei Bai, Hang Shen, Zhenmin Tang (2018). Strong barrier coverage of directional sensor networks with mobile sensors. International Journal of Distributed Sensor Networks.DOI
  78. Minghe Wang, Erhua Zhang, Zhenmin Tang (2018). Speech Enhancement Based on NMF Under Electric Vehicle Noise Condition. IEEE Access.DOI
  79. 张涛，唐振民（2017）. 一种基于非负低秩稀疏图的半监督学习改进算法. 《电子与信息学报》.
  80. 吴士力，唐振民，陈成勇（2017）. 一种基于数据流趋势与相关性分析的汽油机空燃比故障实时检测方法. 《汽车工程》.
  81. 吴士力，唐振民，胡俊（2017）. 基于在线HHT和SVM的汽油机轻微漏气故障识别方法. 《数学的实践与认识》.
  82. 刘家银，唐振民，王安东，石朝侠（2017）. 基于多激光雷达与组合特征的非结构化环境负障碍物检测. 《机器人》.
  83. Zhenmin Tang, Qiushi Wang, G. Karady (2017). Pilot Backup Protection Based on Wireless Communication. Green Technologies Conference.DOI
  84. Shi-Li Wu, Zhenmin Tang, Zhaosong Guo (2017). Lightweight mixture faults detection method for gasoline engine using on-line trend analysis. International journal of automotive technology.DOI
  85. S. Wu, Zhenmin Tang, Q. Liu (2017). Recognition Applications for Air Fuel Ratio Faults of Gasoline Engines Using Sparse Representation Classification Based on Optimization of Dictionary Coherence.
  86. Zhenmin Tang (2017). Novel Pilot Directional Protection for the FREEDM Smart Grid System.
  87. Cheng-Chen Zhuge, Zhenmin Tang (2017). A Real-Time local path planning method based on SVM for UGV.
  88. Chengchen Zhuge, Yunfei Cai, Zhenmin Tang (2017). A Novel Dynamic Obstacle Avoidance Algorithm Based on Collision Time Histogram. Chinese Journal of Electronics.DOI
  89. Shuyin Tao, Wende Dong, Zhenmin Tang, Qiong Wang (2017). Fast non-blind deconvolution method for blurred image corrupted by poisson noise.DOI
  90. Shuyin Tao, Wende Dong, Zhenmin Tang, Qiong Wang (2017). Blind image deconvolution using the Gaussian scale mixture fields of experts prior.DOI
  91. Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang (2017). Robust Gait Recognition under Unconstrained Environments Using Hybrid Descriptions. International Conference on Digital Image Computing: Techniques and Applications (DICTA).DOI
  92. Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang (2017). Statistical Performance of Convex Low-Rank and Sparse Tensor Recovery. IAPR Asian Conference on Pattern Recognition (ACPR).DOI
  93. Bin Qian, Lei Tong, Zhenmin Tang, Xiaobo Shen (2017). Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing. International Journal of Wavelets Multiresolution and Information Processing.DOI
  94. Jiayin Liu, Zhenmin Tang, Ying Cui, Guoxing Wu (2017). Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing. Sensors.DOI
  95. Tao Zhang, Zhenmin Tang, Qing Liu (2017). Robust subspace clustering via joint weighted Schatten-p norm and Lq norm minimization. Journal of Electronic Imaging.DOI
  96. Bin Qian, Zhenmin Tang, Xiaobo Shen, Zhenqiu Shu (2017). Local and global regularized concept factorization for image clustering. Journal of Electronic Imaging.DOI
  97. Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu (2017). Deep Learning for Person Reidentification Using Support Vector Machines. Advances in Multimedia.DOI
  98. Tao Zhang, Zhenmin Tang, Xiaobo Shen (2017). A Fast Generalized Low Rank Representation Framework Based on $L_{2,p}$ Norm Minimization for Subspace Clustering. IEEE Access.DOI
  99. 钱彬，唐振民，沈肖波，郭剑辉，吕建勇（2016）. 基于多特征流形学习和矩阵分解的路面裂缝检测. 《仪器仪表学报》.DOI
  100. 吴士力，唐振民，刘永（2016）. 基于变结构过程RBF网络的发动机故障识别. 《计算机工程与设计》.
  101. 王健，唐振民（2016）. 面向领域特征的云取证模型. 《南京理工大学学报》.
  102. 吴允刚，唐振民（2016）. 分布式航迹融合中约束方差滤波的容许基线测量误差. 《南京理工大学学报》.
  103. 张涛，唐振民，吕建勇（2016）. 一种基于低秩表示的子空间聚类改进算法. 《电子与信息学报》.
  104. 王健，唐振民（2016）. 基于协议验证的时间自动机取证模型. 《南京邮电大学学报(自然科学版)》.
  105. 李静，唐振民，谭业发，石朝侠，刘家银（2016）. 基于人机协同的无人地面车辆智能决策支持系统构建与优化. Proceedings of 2016 International Conference on Electrical Engineering, Mechanical Engineering and Automation (ICEEMEA2016).
  106. 李静，唐振民，谭业发，蔡云飞，刘家银（2016）. 无人地面车辆自主性能力评价研究. Proceedings of 2016 International Conference on Electronic Engineering and Computer Science (ICEECS2016).
  107. 钱彬，唐振民，李雪，徐威（2016）. 基于流形鉴别信息的特征选择及其结构化稀疏表示. 《控制与决策》.DOI
  108. 周舟，唐振民，吕建勇，钱彬（2016）. 基于稀疏表示分类的路面裂缝检测和识别算法. 《信息技术》.
  109. 陆胜伟，唐振民，吕建勇（2016）. 基于时间因子的Slope One协同过滤推荐算法. 《信息技术》.
  110. 李静，唐振民，谭业发，石朝侠，刘家银（2016）. 无人地面车辆乡村典型工作环境复杂度评价. 《网络安全与数据治理》.
  111. 李静，唐振民，谭业发，石朝侠（2016）. 无人地面车辆自主性评价指标体系研究. 《网络安全与数据治理》.
  112. Qiushi Wang, Zhenmin Tang, I. Knežević, Jicheng Yu, G. Karady (2016). Power system protection education and digital relay training based on a physical platform. North American Power Symposium.DOI
  113. Jing Li, Zhen-Min Tang, Ye-fa Tan, Yun-Fei Cai, Jiayin Liu (2016). Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles.DOI
  114. Jing Li, Zhen-Min Tang, Ye-fa Tan, Zhao Shi, Jiayin Liu (2016). Build and Optimization of an Intelligent Decision Support System for UGVs Based on the Human-Robot Coordination.DOI
  115. Yazhou Yao, Jian Zhang, Xian‐Sheng Hua, Fumin Shen, Zhenmin Tang (2016). Extracting Visual Knowledge from the Internet: Making Sense of Image Data. Lecture notes in computer science.DOI
  116. Yazhou Yao, Jian Zhang, Fumin Shen, Xian‐Sheng Hua, Jingsong Xu, Zhenmin Tang (2016). A new web-supervised method for image dataset constructions. Neurocomputing.DOI
  117. Yichao Zhou, Xiyuan Hu, Zhenmin Tang, Andrew C. Ahn (2016). Sparse representation-based ECG signal enhancement and QRS detection. Physiological Measurement.DOI
  118. Bin Qian, Xiaobo Shen, Yanyang Gu, Zhenmin Tang, Yuhua Ding (2016). Double Constrained NMF for Partial Multi-View Clustering. International Conference on Digital Image Computing: Techniques and Applications (DICTA).DOI
  119. Yazhou Yao, Xian‐Sheng Hua, Fumin Shen, Jian Zhang, Zhenmin Tang (2016). A Domain Robust Approach For Image Dataset Construction. ACM International Conference on Multimedia (ACM MM).DOI
  120. Yimeng Zhang, Xiuyi Jia, Zhenmin Tang (2016). Minimum cost attribute reduction in incomplete systems under decision-theoretic rough set model. International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).DOI
  121. Shuyin Tao, Wende Dong, Zhihai Xu, Zhenmin Tang (2016). Fast total variation deconvolution for blurred image contaminated by Poisson noise. Journal of Visual Communication and Image Representation.DOI
  122. Yunfei Cai, Zhenmin Tang, Yuhua Ding, Bin Qian (2016). Theory and application of multi-robot service-oriented architecture. IEEE/CAA Journal of Automatica Sinica.DOI
  123. Bin Qian, Xiaobo Shen, Zhenmin Tang, Tao Zhang (2016). Deep Convex NMF for Image Clustering. Lecture notes in computer science.DOI
  124. Minghe Wang, Erhua Zhang, Zhenmin Tang (2016). Robust Principal Component Analysis Based Speaker Verification Under Additive Noise Conditions. Communications in computer and information science.DOI
  125. Huajun Liu, Cailing Wang, Jianfeng Lu, Zhenmin Tang, Jingyu Yang (2016). Maximum Likelihood Estimation of Monocular Optical Flow Field for Mobile Robot Ego-Motion. International Journal of Advanced Robotic Systems.DOI
  126. Tao Zhang, Zhenmin Tang, Bin Qian (2016). A Semi-supervised Learning Algorithm Based on Low Rank and Weighted Sparse Graph for Face Recognition. Lecture notes in computer science.DOI
  127. 王明合，张二华，唐振民，许昊（2015）. 基于Fisher线性判别分析的语音信号端点检测方法. 《电子与信息学报》.
  128. 徐威，唐振民（2015）. 融合相位一致性与二维主成分分析的视觉显著性预测. 《电子与信息学报》.
  129. 吕建勇，唐振民（2015）. 一种基于图的流形排序的显著性目标检测改进方法. 《电子与信息学报》.
  130. 吕建勇，唐振民（2015）. 一种改进的马尔科夫吸收链显著性目标检测方法. 《南京理工大学学报》.
  131. 陈念，唐振民，帅小应（2015）. GOS+MU:一种查询对象选择新方法. 《计算机应用与软件》.
  132. 徐威，唐振民（2015）. 利用层次先验估计的显著性目标检测. 《自动化学报》.
  133. 成新田，唐振民（2015）. 基于主动鉴别字典学习的自主导航偏离控制算法. 《控制与决策》.DOI
  134. 刘梓，宋晓宁，唐振民（2015）. 整合原始人脸图像和其虚拟样本的人脸分类算法. 《计算机科学》.
  135. 钱彬，唐振民，徐威（2015）. 基于稀疏自编码的路面裂缝检测. 《北京理工大学学报》.
  136. 钱彬，唐振民，徐威，陶玉婷（2015）. 子块鉴别分析的路面裂缝检测. 《中国图象图形学报》.
  137. 刘梓，宋晓宁，唐振民（2015）. 稀疏表示和贪婪搜索的人脸分类. 《中国图象图形学报》.
  138. 徐威，唐振民，徐丹，吴国星（2015）. 融合多特征与格式塔理论的路面裂缝检测. 《计算机辅助设计与图形学学报》.
  139. 刘家银，唐振民，吴国星（2015）. 基于MVSVM和超像素的可通行区域检测方法. 《华中科技大学学报(自然科学版)》.
  140. 张明，程科，杨习贝，唐振民（2015）. 基于加权粒度的多粒度粗糙集. 《控制与决策》.
  141. Jing Li, Zhenmin Tang, Yan Fang, Ye-fa Tan (2015). Autonomy Evaluation Methods for the Autonomous Ground Vehicles. International Congress of Mathematicans.DOI
  142. Shihui Wu, Zhen-Min Tang, Yong Liu (2015). Application of RBF neural network based on AP clustering in engine fault diagnosis. Cyber ...DOI
  143. Minghe Wang, Ying Chen, Zhenmin Tang, Erhua Zhang (2015). I-vector based speaker gender recognition. IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).DOI
  144. Yungang Wu, Zhenmin Tang (2015). Consensus Filtering Algorithm with Incomplete Measurements. International Journal of Distributed Sensor Networks.DOI
  145. Fan Liu, Jinhui Tang, Yan Song, Liyan Zhang, Zhenmin Tang (2015). Local Structure-Based Sparse Representation for Face Recognition. ACM Transactions on Intelligent Systems and Technology.DOI
  146. Yichao Zhou, Xiyuan Hu, Zhenmin Tang, Andrew C. Ahn (2015). Denoising and baseline correction of ECG signals using sparse representation. SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems.DOI
  147. Lu Zhao, Guangwei Bai, Hang Shen, Zhenmin Tang (2015). Energy efficient barrier coverage in hybrid directional sensor networks. International Conference on Wireless Communications and Signal Processing (WCSP).DOI
  148. Hang Shen, Guangwei Bai, Ding Ma, Lu Zhao, Zhenmin Tang (2015). C2EM: cloud-assisted complex event monitoring in wireless multimedia sensor networks. EURASIP Journal on Wireless Communications and Networking.DOI
  149. Ying Chen, Zhenmin Tang (2015). Speaker Recognition of Noisy Short Utterance Based on Speech Frame Quality Discrimination and Three-stage Classification Model. International Journal of Control and Automation.DOI
  150. Zi Liu, Xiaoning Song, Zhenmin Tang (2015). Integrating virtual samples and fuzzy discriminant analysis for sparse representation-based face classification. Journal of Electronic Imaging.DOI
  151. Zi Liu, Xiaoning Song, Zhenmin Tang (2015). Fusing hierarchical multi-scale local binary patterns and virtual mirror samples to perform face recognition. Neural Computing and Applications.DOI
  152. Dong‐Jun Yu, Jun Sheng Hu, Qianmu Li, Zhenmin Tang, Jing-Yu Yang, Hong‐Bin Shen (2015). Constructing Query-Driven Dynamic Machine Learning Model With Application to Protein-Ligand Binding Sites Prediction. IEEE Transactions on NanoBioscience.DOI
  153. Fan Liu, Ye Bi, Yan Cui, Zhenmin Tang (2015). Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person. Lecture notes in computer science.DOI
  154. 杜鹏桢，唐振民，孙研（2014）. 一种混合蜂群算法的自适应细菌觅食优化算法. 《计算机工程》.
  155. 杜鹏桢，唐振民，陆建峰，孙研（2014）. 不确定环境下基于改进萤火虫算法的地面自主车辆全局路径规划方法. 《电子学报》.
  156. 陈念，唐振民（2014）. QBC主动采样学习在垃圾邮件在线过滤中的应用. 《计算机工程与应用》.
  157. 刘梓，宋晓宁，於东军，唐振民（2014）. 基于多成分字典和稀疏表示的超分辨率重建算法. 《南京理工大学学报》.
  158. 成新田，唐振民（2014）. 一种尺度自适应的机器人目标跟踪算法. 《计算机科学》.
  159. 诸葛程晨，唐振民，石朝侠（2014）. 基于多层Morphin搜索树的UGV局部路径规划算法. 《机器人》.
  160. 徐丹，唐振民，徐威（2014）. 融合颜色属性和空间信息的显著性物体检测. 《中国图象图形学报》.
  161. 杜鹏桢，唐振民，孙研（2014）. 一种面向对象的多角色蚁群算法及其TSP问题求解. 《控制与决策》.
  162. 沈航，白光伟，谢珊珊，唐振民（2014）. 基于独占区域的无线传感器网络连通支配集. 《北京邮电大学学报》.
  163. Yun-Fei Cai, Zhen-Min Tang, Chun-Sheng Li, Xiu-Yi Jia (2014). Vehicle outline and wheel base automatic measuring system and measuring algorithm.
  164. Yun-Fei Cai, Zhen-Min Tang, Chun-Xia Zhao (2014). New Layered SOA-Based Architecture for Multi-Robots Cooperative Online SLAM. Chinese journal of electronics.DOI
  165. Hang Shen, Guangwei Bai, Lu Zhao, Jinfeng Ge, Zhenmin Tang (2014). L2OR: Low-Cost Low-Complexity Opportunistic Routing for Wireless Sensor Networks. Wireless Personal Communications.DOI
  166. Zi Liu, Xiaoning Song, Zhenmin Tang (2014). A novel SRC fusion method using hierarchical multi-scale LBP and greedy search strategy. Neurocomputing.DOI
  167. Jingsong Xu, Qiang Wu, Jian Zhang, Boreak Silk, Gia Thuan Ngo, Zhenmin Tang (2014). Efficient People Counting with Limited Manual Interferences. International Conference on Digital Image Computing: Techniques and Applications (DICTA).DOI
  168. Fan Liu, Jinhui Tang, Yan Song, Xinguang Xiang, Zhenmin Tang (2014). Local structure based sparse representation for face recognition with single sample per person. Proceedings - International Conference on Image Processing.DOI
  169. Lei Xu, Yaping Li, Qianmu Li, Yuwang Yang, Zhenmin Tang, Xiaofei Zhang (2014). Proportional fair resource allocation based on hybrid ant colony optimization for slow adaptive OFDMA system. Information Sciences.DOI
  170. Ying Chen, Zhenmin Tang (2014). Research on Noise Processing and Speech Frame Classification Model of Noisy Short UtteranceSignal Processing. International Journal of Signal Processing Image Processing and Pattern Recognition.DOI
  171. Lei Xu, Yaping Li, Yuwang Yang, Xiaofei Zhang, Zhenmin Tang, Shaohua Lan (2014). Proportional fairness resource allocation scheme based on quantised feedback for multiuser orthogonal frequency division multiplexing system. IET Communications.DOI
  172. Bin Qian, Zhenmin Tang, Wei Ya Xu (2014). Pavement crack detection based on improved tensor voting. International Conference on Computer Science & Education (ICCSE).DOI
  173. Ye Bi, Ting Rui, Fan Liu, You Zhou, Zhenmin Tang (2014). Local Geometry Feature Extraction for Face Sketch Recognition.DOI
  174. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang (2014). Boosting Separability in Semisupervised Learning for Object Classification. IEEE Transactions on Circuits and Systems for Video Technology.DOI
  175. Jingsong Xu, Qiang Wu, Jian Zhang, Zhenmin Tang (2014). Exploiting Universum data in AdaBoost using gradient descent. Image and Vision Computing.DOI
  176. Pu Huang, Caikou Chen, Zhenmin Tang, Zhangjing Yang (2014). Feature extraction using local structure preserving discriminant analysis. Neurocomputing.DOI
  177. Pu Huang, Caikou Chen, Zhenmin Tang, Zhangjing Yang (2014). Discriminant similarity and variance preserving projection for feature extraction. Neurocomputing.DOI
  178. Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang (2014). Fast approximate L∞ minimization: Speeding up robust regression. Computational Statistics & Data Analysis.DOI
  179. Lu Zhao, Guangwei Bai, Yanhui Jiang, Hang Shen, Zhenmin Tang (2014). Optimal Deployment and Scheduling with Directional Sensors for Energy-Efficient Barrier Coverage. International Journal of Distributed Sensor Networks.DOI
  180. Wei Zhao, Zhenmin Tang, Yuwang Yang, Lei Wang, Shaohua Lan (2014). Cooperative Search and Rescue with Artificial Fishes Based on Fish-Swarm Algorithm for Underwater Wireless Sensor Networks. The Scientific World JOURNAL.DOI
  181. Yan Zhang, Zhenmin Tang, Yanping Li, Yang Luo (2014). A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement. The Scientific World JOURNAL.DOI
  182. Dan Xu, Wei Dong Xu, Zhenmin Tang, Fan Liu (2014). Exploiting Visual Saliency and Bag-of-Words for Road Sign Recognition. IEICE Transactions on Information and Systems.DOI
  183. 黄璞，唐振民（2013）. 无参数局部保持投影及人脸识别. 《模式识别与人工智能》.
  184. 马勇，成谢锋，唐振民，张少白（2013）. 野外场景分析与水体识别新方法的研究. 《电子学报》.
  185. 王水平，唐振民，陈北京，蒋晔（2013）. 复杂环境下语音增强的复平面谱减法. 《南京理工大学学报》.
  186. 黄璞，唐振民（2013）. 最小距离鉴别投影及其在人脸识别中的应用. 《中国图象图形学报》.
  187. 阎岩，唐振民，刘家银（2013）. 基于不确定性分析的自主导航轨迹评测方法. 《机器人》.
  188. 徐威，唐振民，吕建勇（2013）. 基于图像显著性的路面裂缝检测. 《中国图象图形学报》.
  189. Yan Yan, Zhenmin Tang, Jiayin Liu (2013). Autonomous Navigation Trajectory Evaluation Method Based on Uncertainty Analysis.DOI
  190. Guodong Gu, Xinlong Mao, Zhen-Min Tang (2013). A VR Based Anti-accident Training System for Airport’s Power.DOI
  191. Wei Zhao, Zhen-Min Tang, Yu-Wang Yang, Lei Wang (2013). Network Coding Based Reliable Multi-path Routing in Wireless Sensor Network.DOI
  192. Lei Xu, Yaping Li, Zhenmin Tang (2013). Hybrid‐genetic‐algorithm‐based resource allocation for slow adaptive OFDMA system under channel uncertainty. Electronics Letters.DOI
  193. Pu Huang, Zhenmin Tang, Caikou Chen, Zhangjing Yang (2013). Local maximal margin discriminant embedding for face recognition. Journal of Visual Communication and Image Representation.DOI
  194. Yan Kui Sun, Zhenmin Tang, Jianfeng Lu, Pengzhen Du (2013). Optimal Multilevel Thresholding using Improved Gravitational Search Algorithm for Image Segmentation.DOI
  195. Pu Huang, Zhenmin Tang, Zhangjing Yang, Jun Shi (2013). Feature extraction using graph discriminant embedding. International Congress on Image and Signal Processing (CISP).DOI
  196. Pengzhen Du, Zhenmin Tang, Jianfeng Lu, Yan Kui Sun (2013). An improved Gravitational Search Algorithm based on single dimension swimming.DOI
  197. Dan Xu, Zhenmin Tang, Wei Xu (2013). Salient Object Detection Based on Regional Contrast and Relative Spatial Compactness. KSII Transactions on Internet and Information Systems.DOI
  198. Hang Shen, Guangwei Bai, Zhenmin Tang, Lu Zhao (2013). QMOR: QoS-Aware Multi-sink Opportunistic Routing for Wireless Multimedia Sensor Networks. Wireless Personal Communications.DOI
  199. Wei Ya Xu, Zhenmin Tang, Jun Wei Zhou, Jundi Ding (2013). Pavement crack detection based on saliency and statistical features. Proceedings - International Conference on Image Processing.DOI
  200. Fan Liu, Jinhui Tang, Zhenmin Tang (2013). An Eye States Detection Method by Using WLBP. IEEE International Conference on Semantic Computing (ICSC).DOI
  201. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang (2013). Training boosting-like algorithms with semi-supervised subspace learning. Proceedings - International Conference on Image Processing.DOI
  202. Hang Shen, Guangwei Bai, Zhenmin Tang, Lu Zhao, Miao Yu (2013). Flow-correlation-aware opportunistic network coding for video streaming over wireless networks. International Conference on Communications and Networking in China (ChinaCom).DOI
  203. Yi Gong, Yong Liu, Zhenmin Tang (2013). Path tracking of unmanned vehicle based on parameters self-tuning fuzzy control. IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems.DOI
  204. Fan Liu, Zhenmin Tang, Jinhui Tang (2013). WLBP: Weber local binary pattern for local image description. Neurocomputing.DOI
  205. Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang (2013). On an optimization representation of decision-theoretic rough set model. International Journal of Approximate Reasoning.DOI
  206. Dong‐Jun Yu, Jun Sheng Hu, Xiaowei Wu, Hong‐Bin Shen, Jun Chen, Zhenmin Tang, Jian Jun Yang, Jing-Yu Yang (2013). Learning protein multi-view features in complex space. Amino Acids.DOI
  207. Zhengli Zhao, Fangzhou Liu, Xiaochen Xie, Xiaohui Liu, Zhenmin Tang (2013). Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach. Neurocomputing.DOI
  208. Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang (2013). Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis. IEEE Transactions on Image Processing.DOI
  209. Dong‐Jun Yu, Jun Sheng Hu, Yan Huang, Hong‐Bin Shen, Yong Qi, Zhenmin Tang, Jingyu Yang (2013). TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble. Journal of Computational Chemistry.DOI
  210. Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang (2013). Inductive Hashing on Manifolds.
  211. Ying Chen, Zhenmin Tang (2013). The Speaker Recognition of Noisy Short Utterance. Lecture notes in computer science.DOI
  212. Dong‐Jun Yu, Jun Sheng Hu, Xiaoning Song, Yong Qi, Zhenmin Tang (2013). Supervised Kernel Self-Organizing Map. Lecture notes in computer science.DOI
  213. Fan Liu, Jinhui Tang, Yan Song, Xinguang Xiang, Ting Rui, Zhenmin Tang (2013). Real-Time Head Pose Estimation by RGB-D Camera. Lecture notes in computer science.DOI
  214. 蔡云飞，唐振民，赵春霞（2012）. 一种改进的多机器人协作实时FastSLAM算法. 《计算机研究与发展》.
  215. 吴刚，唐振民，杨静宇（2012）. 融合李群理论与特征子空间基的图像目标跟踪. 《控制理论与应用》.
  216. 赵炜，唐振民，纪淑标，古力，杨余旺（2012）. 基于网络编码的传感网多径路由模型分析. 《计算机工程与设计》.
  217. 阎岩，唐振民（2012）. 基于云模型的地面智能机器人自主性评价方法. 《南京理工大学学报》.
  218. 蔡云飞，唐振民，赵春霞，杨静宇（2012）. 基于柔性结构的多机器人编队系统架构. 《模式识别与人工智能》.
  219. 吴海涛，唐振民（2012）. 一种环形结构的XML文档动态标注方案. 《南京理工大学学报》.
  220. 朱杰，杨万扣，唐振民（2012）. 基于字典学习的核稀疏表示人脸识别方法. 《模式识别与人工智能》.
  221. 张明，唐振民，徐维艳，杨习贝（2012）. 可变多粒度粗糙集模型. 《模式识别与人工智能》.
  222. 吴允刚，唐振民（2012）. 量化量测下约束方差滤波的容许量化水平研究. 《兵工学报》.
  223. 吴刚，唐振民（2012）. RGB空间应用灰度无关图降噪的彩色图像阴影抑制. 《山东科技大学学报(自然科学版)》.
  224. 阎岩，唐振民（2012）. 基于含熵期望曲线的云模型相关性度量方法. 《华中科技大学学报(自然科学版)》.
  225. Yong Liu, Zhen-Min Tang, Qi-Fan Dai, Zhong-Ning Xu (2012). Bridge detecting robot based on negative-pressure absorption.
  226. Zhen-Min Tang (2012). Autonomy Evaluation Method of Ground Intelligent Robot Based on Cloud Model.
  227. Qiong Wang, Yan Yu, Zhen-Min Tang (2012). Architecture Design for Intelligent Vehicle Computing Platform Based on Internet of Vehicles.DOI
  228. Dong‐Jun Yu, Jun Sheng Hu, Zhenmin Tang, Hong‐Bin Shen, Jian Jun Yang, Jing-Yu Yang (2012). Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. Neurocomputing.DOI
  229. Yunfei Cai, Zhenmin Tang, Chunxia Zhao (2012). A new approach of formation navigation derived from multi-robots cooperative online FastSLAM. Journal of Control Theory and Applications.DOI
  230. Fan Liu, Jinhui Tang, Ruizhen Zhao, Zhenmin Tang (2012). Abnormal behavior recognition system for ATM monitoring by RGB-D camera. ACM International Conference on Multimedia (ACM MM).DOI
  231. Wei Li, Yong Dong Xu, Jingyu Yang, Zhenmin Tang (2012). Finding structural patterns in complex networks. IEEE International Conference on Advanced Computational Intelligence.DOI
  232. Fumin Shen, Zhenmin Tang, Jingsong Xu (2012). Locality constrained representation based classification with spatial pyramid patches. Neurocomputing.DOI
  233. Ye Jiang, Kong Aik Lee, Zhenmin Tang, Bin Ma, Anthony Larcher, Haizhou Li (2012). PLDA modeling in i-vector and supervector space for speaker verification. Interspeech (USB).DOI
  234. Dong‐Jun Yu, Xiaowei Wu, Hong‐Bin Shen, Jian Jun Yang, Zhenmin Tang, Yong Qi, Jingyu Yang (2012). Enhancing Membrane Protein Subcellular Localization Prediction by Parallel Fusion of Multi-View Features. IEEE Transactions on NanoBioscience.DOI
  235. Dan Xu, Zhenmin Tang, Xuejun Yan (2012). Real time road sign detection based on rotational center voting and shape analysis. IEEE International Conference on Mechatronics and Automation (ICMA).DOI
  236. Jingsong Xu, Qiang Wu, Jian Zhang, Zhenmin Tang (2012). Fast and Accurate Human Detection Using a Cascade of Boosted MS-LBP Features. IEEE Signal Processing Letters.DOI
  237. Xiuyi Jia, Wenhe Liao, Zhenmin Tang, Lin Shang (2012). Minimum cost attribute reduction in decision-theoretic rough set models. Information Sciences.DOI
  238. Jingsong Xu, Qiang Wu, Jian Zhang, Zhenmin Tang (2012). Object Detection Based on Co-occurrence GMuLBP Features. IEEE International Conference on Multimedia and Expo (ICME).DOI
  239. Yong kang Liu, Heping Chen, Zhenmin Tang, Guoxin Sun (2012). A bat-like switched flying and adhesive robot. IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems.DOI
  240. Ming Zhang, Zhenmin Tang, Weiyan Xu, Xibei Yang (2012). A Variable Muitlgranulation Rough Sets Approach. Lecture notes in computer science.DOI
  241. Xintian Cheng, Zhenmin Tang (2012). The Algorithm for Unstructured Road to Abstract Road Surface based on Color Feature.DOI
  242. 阎岩，唐振民（2011）. UGV协同系统研究进展. 《计算机应用研究》.
  243. 吴海涛，唐振民（2011）. 基于压缩策略的安全XML关键字查询. 《计算机工程与应用》.
  244. 蒋晔，唐振民（2011）. 短语音说话人辨认的研究. 《电子学报》.
  245. 吴刚，唐振民，杨静宇（2011）. 融合典型纹理特征的粒子滤波目标跟踪方法. 《计算机工程与应用》.
  246. 张明，唐振民，杨习贝（2011）. 肯定和否定决策规则的获取及约简. 《系统工程与电子技术》.
  247. Yun Fei Cai, Zhenmin Tang, Chun Xia Zhao (2011). Multi-EKF Localization Algorithm for Multi-Robots Formation Navigation. Advanced materials research.DOI
  248. Pu Huang, Zhenmin Tang, Caikou Chen, Xintian Cheng (2011). Nearest-neighbor classifier motivated marginal discriminant projections for face recognition. Frontiers of Computer Science in China.DOI
  249. Wang Shuiping, Zhenmin Tang, Shiqiang Li (2011). Design and Implementation of an Audio Classification System Based on SVM. Procedia Engineering.DOI
  250. Zhenmin Tang (2011). Research on the Speaker Identification Based on Short Utterance. Dianzi xuebao.
  251. 卢阿丽，唐振民，杨静宇（2010）. 基于信任度传播的体视算法. 《模式识别与人工智能》.
  252. 卢阿丽，唐振民（2010）. 基于分割约束的α扩展体视算法. 《模式识别与人工智能》.
  253. 魏利华，唐振民，丁辉，吴刚（2010）. 不完备目标信息系统中基于差异关系的粗糙集. 《南京理工大学学报》.
  254. 吴刚，唐振民，程勇，朱峰，魏利华（2010）. 灰度共生矩阵纹理特征的运动目标跟踪方法. 《南京理工大学学报》.
  255. 李燕萍，唐振民，丁辉，张燕（2010）. 一种适于说话人辨认的自适应频率尺度变换. 《南京理工大学学报》.
  256. Keke He, Zhenmin Tang, Erhua Zhang (2010). The Almost Sure Convergence of the Auxiliary Particle Filter. Chinese Conference on Pattern Recognition.DOI
  257. Ye Jiang, Zhenmin Tang, Long-Biao Wang (2010). Compensation Approaches for Distant Speaker Identification under Reverberant Environments. Chinese Conference on Pattern Recognition.DOI
  258. Gang Wu, Zhenmin Tang (2010). Adaptive Appearance Tracking Model Using Subspace Learning Method. International Conference on Intelligent Computation Technology and Automation.DOI
  259. Xin Wang, Zhenmin Tang (2010). Modified particle filter-based infrared pedestrian tracking. Infrared Physics & Technology.DOI
  260. Zhenmin Tang (2010). Research on GMM text-independent speaker recognition. Computer Engineering and Applications Journal.
  261. Zhenmin Tang (2010). ASM and Color Gabor Features for Facial Feature Extraction.
  262. Zhenmin Tang (2010). Application of Particle Filter Based on Feature Fusion in Small IR Target Tracking.
  263. Zhenmin Tang, IT Solution (2010). Self-adaptable Granularity Road Network Moving Objects' Clustering Algorithm.
  264. 王晓喃，钱焕延，唐振民（2009）. 利用Anycast技术实现无线传感器网络的路由协议. 《计算机应用研究》.
  265. 王晓喃，唐振民，钱焕延（2009）. IPv6中k-Anycast通信模型的研究与设计. 《通信学报》.
  266. 王鑫，唐振民（2009）. 改进的分形算法在弱小目标检测中的应用. 《系统工程与电子技术》.
  267. 李燕萍，唐振民，钱博，张燕（2009）. 基于仿生模式识别的说话人辨认方法研究. 《系统仿真学报》.DOI
  268. 王晓喃，钱焕延，唐振民（2009）. 在P2P网络中实现Anycast通信模型. 《计算机应用研究》.
  269. 王晓喃，唐振民，钱焕延（2009）. IPv6中k-Anycast通信模型的分析与研究. 《南京理工大学学报》.
  270. 王晓喃，唐振民，钱焕延（2009）. 基于移动IPv6的MANET中Anycast服务的设计与实现. 《南京理工大学学报》.
  271. Zhenmin Tang (2009). Analysis of Similarities and Differences of Operation Control Systems among Several Typical Modes of Rail Traffic.
  272. Xin Wang, Lei Liu, Zhenmin Tang (2009). Infrared human tracking with improved mean shift algorithm based on multicue fusion. Applied Optics.DOI
  273. Dake Zhou, Zhenmin Tang (2009). Kernel-based improved discriminant analysis and its application to face recognition. Soft Computing.DOI
  274. Xin Wang, Lei Liu, Zhenmin Tang（2009）. 基于分维和三阶特征量的红外小目标检测. Chinese Optics Letters.DOI
  275. Gang Wu, Zhenmin Tang (2009). A New Resampling Strategy about Particle Filter Algorithm Applied in Monte Carlo Framework. International Conference on Intelligent Computation Technology and Automation.DOI
  276. Shuiping Wang, Zhenmin Tang, Yingnan Zhao, Sai Ji (2009). Tone Recognition of Continuous Mandarin Speech Based on Binary-Class SVMs.DOI
  277. Zhenmin Tang, Xin Wang (2009). An Efficient Algorithm for Infrared Small Target Detection. International Conference on Information and Computing Science (ICIC).DOI
  278. Zhenmin Tang (2009). Combining wavelet packet with higher-order statistics for small IR targets detection. Infrared and Laser Engineering.
  279. Zhenmin Tang (2009). Camera calibration based on vanishing points in B-dual-space geometry. Computer Engineering and Applications Journal.
  280. Lihua Wei, Zhenmin Tang, Xibei Yang, Limin Xu (2009). DRSA and reductions in incomplete fuzzy information system. International Journal of Granular Computing Rough Sets and Intelligent Systems.DOI
  281. Zhenmin Tang (2009). Non-parametric transform of color image for stereo matching. Computer Engineering and Applications Journal.
  282. Zhenmin Tang (2009). Scheme on implementing interconnection between wireless sensor networks and IPv6 networks. Journal of Computer Applications.
  283. Haitao Wu, Zhenmin Tang (2009). Effective XML Keyword Search Algorithm for Meaningful Return Information.DOI
  284. Hui Ding, Zhenmin Tang, Lihua Wei, Yanping Li (2009). A study on speaker identification based on weighted LS-SVM. Automatic Control and Computer Sciences.DOI
  285. Ye Jiang, Zhenmin Tang (2009). Design and Implementation of a Real-Time Speaker Identification System with Improved GMM. Chinese Conference on Pattern Recognition.DOI
  286. Dake Zhou, Zhenmin Tang (2009). A modification of kernel discriminant analysis for high-dimensional data—with application to face recognition. Signal Processing.DOI
  287. 王鑫，唐振民（2008）. 一种新的自动路面车辙检测方法. 《计算机工程与应用》.
  288. 徐利敏，唐振民，何可可，钱博（2008）. 基于自适应直方图均衡化的鲁棒性说话人辨认研究. 《自动化学报》.
  289. Zhenmin Tang (2008). A Maglev Transportation Simulation Platform Using UML.
  290. Yanping Li, Zhenmin Tang, Hui Ding, Yan Zhang (2008). DISCRIMINATIVE FEATURE EXTRACTION BASED ON SELF-ADAPTIVE FREQUENCY WARPING FOR ROBUST SPEAKER IDENTIFICATION. International Journal of Information Acquisition.DOI
  291. Lihua Wei, Zhenmin Tang, Runyun Wang, Xibei Yang (2008). Extensions of dominance-based rough set approach in incomplete information system. Automatic Control and Computer Sciences.DOI
  292. Xin Wang, Zhenmin Tang (2008). Automatic image de-weathering using physical model and maximum entropy. IEEE Conference on Cybernetics and Intelligent Systems.DOI
  293. Lihua Wei, Zhenmin Tang, Xibei Yang, Lili Zhang (2008). Dominance-based rough set approach to incomplete fuzzy information system. IEEE International Conference on Granular Computing (GrC).DOI
  294. Dake Zhou, Zhenmin Tang (2008). Kernel discriminant analysis with weighted schemes and its application to face recognition. International Conference on Machine Learning and Cybernetics.DOI
  295. Jiewei Lu, Jiaowei Tang, Zhenmin Tang, Jingyu Yang (2008). Hierarchical initialization approach for K-Means clustering. Pattern Recognition Letters.DOI
  296. Linan Jiao, Zhenmin Tang (2008). A Visibility-Based Algorithm for Multi-Robot Boundary Coverage. International Journal of Advanced Robotic Systems.DOI
  297. Zhenmin Tang (2008). New method for automatic road rut detection. Computer Engineering and Applications Journal.
  298. Zhenmin Tang (2008). A Convex Partition Algorithm for a Polygon with Holes. Acta Armamentarii.
  299. 钱博，李燕萍，唐振民，徐利敏（2007）. 基于频域能量分布分析的自适应元音帧提取算法. 《电子学报》.
  300. 焦立男，唐振民（2007）. 基于局部传感和通讯的多机器人运动规划框架. 《计算机工程与应用》.
  301. 成伟明，唐振民，赵春霞，陆建峰，刘华军（2007）. 复杂环境中基于圆弧区域分解的局部路径规划. 《南京理工大学学报》.
  302. 成伟明，唐振民，赵春霞（2007）. 微小型履带式机器人路径跟踪控制器设计. 《计算机工程与应用》.
  303. 唐磊，赵春霞，唐振民，成伟明，张浩峰（2007）. 基于模糊自适应Kalman滤波的GPS／DR数据融合. 《控制理论与应用》.
  304. 唐振民，汤九斌 陆建峰 唐振民 杨静宇（2007）. 基于层次的K—means初始化算法. 《中国工程科学》, Vol. 9, No. 11.下载原文
  305. Zhenmin Tang (2007). Real-time performance analysis of serial port network gateway based on TCP/IP protocol.
  306. Zhenmin Tang (2007). Simulation of Maglev ATO Control System based on MATLAB.
  307. Zhenmin Tang (2007). Study on Safety Speed Protection of the High Maglev Train.
  308. Zhenmin Tang (2007). Planning method of Beijing future public transit network based on small world network.
  309. Zhenmin Tang (2007). Implementation of serial-production-line operations based on maximum-algebra with Matlab.
  310. Limin Xu, Zhenmin Tang (2007). Speaker identification using multi-step clustering algorithm with transformation-based GMM. Automatic Control and Computer Sciences.DOI
  311. LI Shu-qin, Xiaohua Yuan, Zhenmin Tang, Yang Lu, Jing-Yu Yang (2007). Design and Development of Multi-Robot Architecture and Decision-Making Model. International Conference on Machine Learning and Cybernetics.DOI
  312. Limin Xu, Zhenmin Tang, Keke He, Bo Qian (2007). Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification. Springer eBooks.DOI
  313. Zhenmin Tang (2007). New algorithm of automatic water level measurement based on image processing. Computer Engineering and Applications Journal.
  314. Yan Zhang, Zhenmin Tang, Yanping Li, Bo Qian (2007). Ensemble Learning and Optimizing KNN Method for Speaker Recognition. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  315. Zhenmin Tang (2007). Frame for multi-robot motion planning based on local sensing and communication. Computer Engineering and Applications Journal.
  316. 陆建峰，刘华军，唐振民，杨静宇（2006）. 基于主动式传感器的道路导航. 《计算机工程与应用》.
  317. 唐振民，李淑琴 程显毅 唐振民 杨静宇（2006）. 一个描述机器人团队形成的动态演化模型. 《中国工程科学》, Vol. 8, No. 4.下载原文
  318. 唐振民，刘华军 杨静宇 陆建峰 唐振民 赵春霞 成伟明（2006）. 移动机器人运动规划研究综述. 《中国工程科学》, Vol. 8, No. 1.下载原文
  319. Zhenmin Tang (2006). A Micro-Simulation-based Evaluation System for Thruway Traffic Accidents.
  320. Zhenmin Tang (2006). Design of Data Analysis System of railway station graph.
  321. Zhenmin Tang (2006). Study on the Operation Control System Framework for High-Speed MAGLEV Train.
  322. Zhenmin Tang (2006). Study on Urban Rail Transit Model Based on the Max-Plus Algebraic Theory.
  323. Hui Ding, Bo Qian, Yanping Li, Zhenmin Tang (2006). A Method Combining LPC-Based Cepstrum and Harmonic Product Spectrum for Pitch Detection.DOI
  324. Limin Xu, Bo Qian, Weiming Cheng, Zhenmin Tang (2006). Research on Automatic Speaker Recognition Based on Speech Clustering.DOI
  325. Weiming Cheng, Zhenmin Tang, Chunxia Zhao, Lei Tang, Zhibo Guo (2006). Path Planning for Nonholonomic Car-like Mobile Robots Using Genetic Algorithms.DOI
  326. Linan Jiao, Zhenmin Tang (2006). Building Configuration Space for Multiple UGVs. World Congress on Intelligent Control and Automation.DOI
  327. Yong Dong Xu, Jing-yu Yang, Zhenmin Tang, Chunxia Zhao (2006). Two-Dimensional Technique for Image Presentation and its Application. International Conference on Machine Learning and Cybernetics.DOI
  328. 杨文杰，胡明昊，唐振民，杨静宇（2005）. 一种有效的基于约束的关联规则发现算法. 《南京理工大学学报》.
  329. 杨文杰，胡明昊，唐振民，杨静宇（2005）. 一种基于连接段数的细化算法. 《计算机工程与应用》.
  330. Guang Yang, Zhenmin Tang (2005). The analysis of high-speed wheel-rail train and high-speed maglev train safety systems. Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005..DOI
  331. Yan-Ping Cui, Zhenmin Tang, Hai-Bing Dai (2005). Case-based reasoning and rule-based reasoning for railway incidents prevention. Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005..DOI
  332. Zhenmin Tang (2005). Design of ATS Simulation System of Beijing Line One Subway.
  333. Li-Nan Jiao, Zhen-Min Tang (2005). Building configuration space for multiple UGVs. IEEE International Conference on Vehicular Electronics and Safety, 2005..DOI
  334. Shuqin Li, Lan Shuai, Xianyi Cheng, Zhenmin Tang, Jing-yu Yang (2005). A Descriptive Model of Robot Team and the Dynamic Evolution of Robot Team Cooperation. International Journal of Advanced Robotic Systems.DOI
  335. Shuqin Li, Zhenmin Tang, Chun-Xia Zhao, Jing-Yu Yang (2005). Planning and control strategies of multiple mobile robot moving in column formation.DOI
  336. 唐振民，靳从 唐振民 杨静宇（2004）. 自动标引中自然主题词的切分. 《情报科学》, Vol. 22, No. 3.下载原文
  337. Zhenmin Tang (2004). Inquire on System of Analysis for Expressway Operation.
  338. 刘菲，唐振民（2003）. 基于不变矩的实时人形监测与识别系统. 《小型微型计算机系统》.
  339. 唐振民，赵春霞，杨静宇，张进（2003）. 基于动态规划思想的多机器人路径规划. 《南京理工大学学报》.
  340. 唐振民，赵春霞，孙怀江，陆建峰，杨静宇（2003）. 地面自主移动平台信息融合与路径规划系统. 《南京理工大学学报》.
  341. 靳从，唐振民，杨静宇（2003）. 自动标引中中文姓名的切分. 《计算机工程》.
  342. 徐潼，唐振民（2003）. 多机器人系统中的动态避碰规划. 《计算机工程》.
  343. 高建贞，任明武，唐振民，杨静宇（2003）. 路面裂缝的自动检测与识别. 《计算机工程》.
  344. 杨文杰，唐振民，胡明昊（2003）. BtoB网站用户访问模式挖掘研究. 《计算机工程》.
  345. Zhen-Min Tang (2003). Dynamic Planning of Obstacle Avoidance in Multiple Robots System.
  346. Zhen-Min Tang (2003). RESEARCH ON OBSTACLE AVOIDANCE PLANNING FOR MOBILE ROBOTS IN DYNMIC WORLD.
  347. 刘菲，曹冠华，唐振民（2002）. 基于不变矩的实时人形识别研究. 《计算机工程》.
  348. 赵春霞，唐振民，陆建峰，杨静宇，刘传才（2002）. 面向自主车辆的局部路径规划仿真系统. 《南京理工大学学报》.
  349. Chunli Fan, Ji-Wu Sun, Zhenmin Tang (2002). Study on the real-time communication protocol for MARS-RTCMR.DOI
  350. 韩宏，王鹏，唐振民，杨静宇（2001）. 彩色图像中复杂背景的多人脸检测. 《南京理工大学学报》.
  351. Zhong Jin, Jing-Yu Yang, Zhenmin Tang, Zhong-Shan Hu (2001). A theorem on the uncorrelated optimal discriminant vectors. Pattern Recognition.DOI
  352. Mingwu Ren, Jingyu Yang, Han Sun, Zhenmin Tang (2001). Split-and-merge segmentation using relation stable state. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
  353. 陆建峰，杨静宇，唐振民，叶玉坤，汪栋（2000）. 重叠细胞图像分离算法的设计. 《计算机研究与发展》.
  354. Zhenmin Tang (2000). Image Preprocessing for Ship Detection Under Complex Conditions. Jisuanji gongcheng.
  355. 任明武，曹雨龙，唐振民，胡钟山，杨静宇（1999）. 黑白文档图像的高倍压缩. 《计算机研究与发展》.
  356. Mingwu Ren, Yulong Cao, Zhenmin Tang, Jingyu Yang, Baoshan Wang, Xufei Geng (1999). One effective method for ship recognition in ship locks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
  357. 丁震，胡钟山，杨静宇，唐振民（1998）. 一种基于模糊聚类的快速二值化方法. 《计算机学报》.
  358. 唐振民，王光，丁震，杨静宇（1998）. 一种基于MRF理论去除Range图象噪声的方法. 《计算机研究与发展》.
  359. 陆建峰，李士进，唐振民，杨静宇（1998）. 基于遗传算法的二维熵方法自动阈值. 《南京理工大学学报》.
  360. 刘传才，杨静宇，唐振民（1998）. 多个自主机器人的协作策略研究. 《计算机学报》.
  361. 丁震，胡钟山，杨静宇，唐振民，邬永革（1997）. 一种基于模糊聚类的图象分割方法. 《计算机研究与发展》.
  362. 丁震，胡钟山，杨静宇，唐振民，邬永革（1997）. 一种适用于灰度图像分割的快速FCM算法. 《模式识别与人工智能》.
  363. 胡钟山，丁震，杨静宇，唐振民，邬永革（1997）. 一种改进的 Fuzzy c-means 聚类算法. 《南京理工大学学报》.
  364. 丁震，唐振民，杨静宇，邬永革，柳健（1997）. 一种渐进的立体匹配方法. 《计算机研究与发展》.
  365. Zhen-Min Tang (1997). A NEW APPROACH OF ALV GLOBAL SPEED CONTROL.
  366. 丁震，胡钟山，唐振民，杨静宇（1996）. 从二维图象中恢复距离信息的体视匹配方法. 《南京理工大学学报》.
  367. 唐振民，靳从，杨静宇（1995）. 主题概念评价方法的分析. 《情报学报》, Vol. 14, No. 1.下载原文
  368. Zhenmin Tang, Jing-Yu Yang, Chunli Fan, Bing Wang, Z. Ding (1994). Novel approach of better understanding the complicated environment from the laser radar's range data. Optics & Photonics.DOI
  369. 唐振民，勒从，杨静宇（1993）. 一种知识指导下的主题词自动切分方法——KDMM法. 《情报学报》, Vol. 12, No. 4.下载原文

会议论文

  1. Bo Qian, Yanping Li, Limin Xu, Zhenmin Tang (2006). A Method of Biomimetic Pattern Recognition for Speaker Recognition. Information Hiding.DOI

预印本

  1. Xiangrui Li, Dongxu Wei, Xiyuan Hu, Liming Zhang, Weiping Ding, Zhenmin Tang (2023). Statistical Guaranted Noisy Tensor Recovery by Fusing Low-Rankness on All Orientations in Frequency-Original Domains. SSRN Electronic Journal.DOI

研究方向

计算机软件及计算机应用自动化技术无线电电子学

此主页由公开资料整理，尚未经学者本人认领。