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  • 日期：2022-09-22
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  1. Jialing Dai, Jianming Zhu, Guoqing Wang. Opinion influence maximization problem in online social networks based on group polarization effect[J]. Information Sciences, 2022, 609：195-214. (SCI/SSCI, Q1, IF:8.233, CCF-B, FMS B)(Scopus CiteScore: 12.1，中科院一区)
  2. Ni, P., Zhu, J. & Wang, G. Misinformation influence minimization by entity protection on multi-social networks[J]. Applied Intelligence (2022). (SCI,  IF: 5.019)
  3. Li, J. Zhu, J. Jiao and Q. Zhang. Competitive Influence Minimization in Multi-Group Social Networks: An Opinion - Based Solution[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(4): 2617-2630. (SCI, JCR 1区, IF: 5.213, 3/106; Scopus CiteScore: 2.65, 51/224，中科院一区)
  4. 李文钰,朱建明,王国庆.基于最大可达概率的虚假信息溯源问题研究[J].系统工程理论与实践, 2022, 42(7): 1941--1951.（CSSCI,EI，CAA-B类）（CSSCI,EI，CAA-B类，FMS-T1类）
  5. Wei Gao, Fang Wan, Jun Yue, Songcen Xu, Qixiang Ye, 2021. Discrepant multiple instance learning for weakly supervised object detection . Pattern Recognition (PR)，2021.[pdf]
  6. Feng Liu, Xiaosong Zhang, Fang Wan, Xiangyang Ji, Qixiang Ye, 2021. Domain Contrast for Domain Adaptive Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，2021.[pdf][source code]
  7. Chang Liu*, Yunjie Tian*, Jianbin Jiao, Qixiang Ye. Adaptive Linear Span Network for Object Skeleton Detection. IEEE Transactions on Image Processing (TIP), 2021.[pdf]
  8. Xiaosong Zhang, Fang Wan, Chang Liu, Xiangyang Ji, Qixiang Ye. Learning to Match Anchors for Visual Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.[pdf]
  9. Qixiang Ye, Fang Wan, Chang Liu, Qingming Huang, Xiangyang Ji. Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.[pdf]
  10. Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu and Qixiang Ye. Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021[pdf][source code]
  11. Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji and Qixiang Ye. Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021[pdf][source code]
  12. Binghao Liu, Jianbin jiao, and Qixiang Ye. Harmonic Feature Activation for Few-shot Semantic Segmentation. IEEE Transactions on Image Processing (TIP), 2021[pdf][source code]
  13. Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye. Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[pdf][source code]
  14. Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, and Qixiang Ye, Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented andDensely Packed Object Detection, (CVPR), 2021.[pdf][source code]
  15. Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye. Multiple Instance Active Learning for Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[pdf][source code]
  16. Jianming Zhu; Peikun Ni; Guoqing Wang; Yuan Li. Misinformation Influence Minimization Problem Based on Group Disbanded in Social Networks[J]. Information Sciences. 2021, 572(3): 1-15. (SCI/SSCI, Q1, IF:8.233, CCF-B, FMS B)(Scopus CiteScore: 12.1，中科院一区)
  17. Ling, D. Cui, G. Tong and J. Zhu. On Forecasting Dynamics In Online Discussion Forums. 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428382. （CCF B类, EI）
  18. Jianming Zhu, Peikun Ni, Guangmo Tong, Guoqing Wang and Jun Huang. Influence Maximization Problem with Echo Chamber Effect in Social Network. IEEE Transactions on Computational Social Systems, 2021, 8(5): 1163-1171. (SCI, CAA-A类，Scopus CiteScore: 4, 8/255)
  19. Zhu, Jianming, Ghosh, S., Wu, W. et al. Non-submodular Model for Group Profit Maximization Problem in Social Networks. Computational Social Networks, 8, 2 (2021). https://doi.org/10.1186/s40649-020-00085-6. （EI）
  20. Jianming Zhu, S. Ghosh and W. Wu. Robust Rumor Blocking Problem with Uncertain Rumor Sources in Social Networks. World Wide Web-Internet & Web Information Systems, 2021, 24(1): 229-247. https://doi.org/10.1007/s11280-020-00841-8(SSCI/SCI, Q1, IF:2.892,CCF-B类)
  21. 徐锡伟,王中根,许冲,赵宇.我国主要城市群自然灾害风险分析与防范对策[J].城市与减灾,2021(06):1-6.
  22. 倪培昆, 朱建明, 王国庆. 在线社交网络虚假信息交互量最小化的边阻断策略研究. 中国管理科学, 2021,29(09):188-200.  (CSSCI，FMS-T1类)
  23. 李元，张栖，朱建明，焦建彬. 基于多层次深度模型的社交网络核心谣言传播节点识别. 中国科学院大学学报，已录用.
  24. 马天佚, 朱建明, 张驰, 杨霖, 武岳. 配电设备实时故障风险评估方法. 运筹与管理, 已录用.
  25. 徐康, 朱建明, 王国庆, 李京. 自然灾害下基于受损线路复电路径的配电网抢修优化研究. 运筹与管理, 已录用.
  26. 朱建明, 王瑞, 灾害救援中基于民众心理感知的应急物资多阶段分配问题研究[J].  中国安全生产科学技术, 2020, 16(2): 5-10.
  27. 李京, 王国庆, 朱建明, 徐康. 冰雪灾害背景下电网投资优化和韧性提升模型[J]. 中国管理科学, 2020, 28(03): 122-131. (CSSCI，FMS-T1类)
  28. 马天佚,朱建明,杨霖,张驰.基于故障概率的配电设备排查路径规划[J].电力大数据,2020,23(04):1-7.
  29. 朱建明,陈洪钧,王国庆,黄钧.多故障点多应急队伍的电网抢修任务分配[J].安全与环境学报,2020,20(05):1803-1810.
  30. Zhang, Q. Ye, B. Zhang, J. Liu, X. Zhang, Q. Tian. Feature Calibration Network for Occluded Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems (TITS), 2020.[pdf]
  31. Yao Yuan, Liu Chang, Luo Dezhao, Zhou Yu, Ye Qixiang. Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning (CVPR), 2020.[pdf]
  32. Yanzhao Zhou, Xing Wang, Jianbin Jiao, Trevor Darrell, and Fisher Yu. Learning Saliency Propagation for Semi-Supervised Instance Segmentation (CVPR), 2020.[pdf]
  33. Boyu Yang and Chang Liu and Bohao Li and Jianbin Jiao, and Ye, Qixiang Prototype Mixture Models for Few-shot Semantic Segmentation (ECCV), 2020[pdf][source code]
  34. Dezhao Luo*, Chang Liu*, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang. Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.[pdf]
  35. Yifei Zhang*, Chang Liu*, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye. Progressive Cluster Purification for Unsupervised Feature Learning. (ICPR) 2020.[pdf]
  36. Yuanqiang Cai, Chang Liu, Peirui Cheng, Dawei Du, Libo Zhang, Weiqiang Wang, Qixiang Ye. Scale-residual Learning Network for Scene Text Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.[pdf]
  37. Jianming Zhu, Peikun, Ni, Guoqing Wang. Activity Minimization of Misinformation Influence in Online Social Network[J]. IEEE Transactions on Computational Social Systems, 2020, 7(4): 897-906.(SCI, CAA-A类，Scopus CiteScore: 4, 8/255)
  38. Ji Yamin, Qi Mingliang. A Robust Optimization Approach for Decontamination Planning of Emergency Planning Zone: Facility Location and Assignment Plan[J]. Socio-Economic Planning Sciences, 2020, 70: 1-15.
  39. Zhang, Z. Han, H. Xu, B. Zhang, Q. Ye. CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019.[pdf]
  40. Ye, T. Zhang, W. Ke. Progressive Latent Models for Self-Learning Scene-Specific Pedestrian Detectors. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019.[pdf]
  41. Wang, Z Xiao, C. Liu, D. Zhao, Z. Yao: Deep-Learning for Picking Seismic Arrival Times. Journal of Geophysical Research: Solid Earth[pdf]
  42. Wan, C. Liu, W. Ke, X. Ji, J Jiao, Q. Ye: C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral, 2019.[pdf]
  43. Liu, F. Wan, W. Ke, Z Xiao, Y. Yao, X. Zhang, Q. Ye: Orthogonal Decomposition Network for Pixel-Wise Binary Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.[pdf]
  44. Miao, L. Xie, F. Wan, C. Su, H. Liu, J. Jiao, Q. Ye. SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019[pdf]
  45. Zhu, Y. Zhou, H. Xu, Q. Ye, D. Doermann, J. Jiao. Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.[pdf]
  46. Jiang, Y. Zhang, D. Luo, C. Liu, Y. Zhou, Z. Han: Feature Hourglass Network for Skeleton Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2019.[pdf]
  47. Liu, D. Luo, Y. Zhang, W. Ke, F. Wan, Q. Ye: Parametric Skeleton Generation via Gaussian Mixture Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, oral, 2019.[pdf]
  48. Zhang, F. Wan, C. Liu, R. Ji, Q. Ye: FreeAnchor: Learning to Match Anchors for Visual Object Detection. Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2019. [pdf]
  49. Xue, C. Liu, F. Wan, J. Jiao, X Ji and Q. Ye. DANet: Divergent Activation for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV) 2019 [pdf]
  50. Ding, Y. Zhou, Y. Zhu, Q. Ye and J. Jiao. Selective Sparse Sampling for Fine-grained Image Recognition. IEEE International Conference on Computer Vision (ICCV) 2019. [pdf]
  51. Zhu, Jianming, Zhu Junlie, Ghosh Smita, et al. Social Influence Maximization in Hypergraph in Social Networks[J]. IEEE Transactions on Network Science and Engineering, 2019, 6(4): 801-811.  (SCI, JCR 1区, IF: 5.213, 3/106; Scopus CiteScore: 2.65, 51/224，中科院一区)
  52. Zhu Jianming, Ghosh S, Wu W, et al. Profit Maximization Under Group Influence Model in Social Networks[C]//International Conference on Computational Data and Social Networks. Springer, Cham, 2019: 108-119. (EI)
  53. Ghosh S, Zhu, Jianming, Wu W. Composed Influence Maximization in Social Networks[M]//Nonlinear Combinatorial Optimization. Springer, Cham, 2019: 251-264.
  54. Jianming Zhu, S. Ghosh, J. Zhu and W. Wu. Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks[J]. IEEE Access, 2019, 7(1): 142488-142497. （SCI, JCR 1区, IF: 4.08）(Scopus CiteScore: 4.96, 9/275)
  55. Zhu, Jianming, Liu S, Ghosh S. Model and Algorithm of Routes Planning for Emergency Relief Distribution in Disaster Management with Disaster Information Update [J]. Journal of Combinatorial Optimization, 2019, 38(1): 208-223. （SCI, JCR 2区）
  56. Jianming Zhu, S. Ghosh and W. Wu. Group Influence Maximization Problem in Social Networks [J]. IEEE Transactions on Computational Social Systems, 2019, 6(6): 1156-1164. doi: 10.1109/TCSS.2019.2938575 (SCI, CAA-A类，Scopus CiteScore: 4, 8/255)
  57. 肖智文, 王国庆, 朱建明, 陈洪钧. 面向突发事件的电网韧性能力评价及构建方法[J]. 系统工程理论与实践, 2019, 39 (10): 2637-2645.
  58. 徐锡伟,白鸾曦,魏雷鸣,陈桂华,于贵华.华北克拉通破坏区最新构造运动起始时间讨论[J].地球科学,2019,44(05):1647-1660.
  59. 王晶, 刘昊天, 朱建明. 基于韧性城市视角的冰雪天气下路网恢复问题研究[J]. 中国管理科学, 2018, 26(3): 177-187.
  60. 景阳, 李立, 朱建明. 模糊层次分析法评估核电DCS系统研发进度风险[J]. 核电子学与探测技术, 2018, 6: 834-838.
  61. 覃道光，朱建明. 有线电视安全播出风险识别与评价研究[J]. 广播与电视技术, 2018, 45(3):114-120.
  62. 徐锡伟,陈桂华.活动断层避让问题探讨与建议[J].城市与减灾,2018(01):8-13.
  63. Liu*, W. Ke*, F. Qin, Q. Ye. Linear Span Network for Object Skeleton Detection. ECCV, 2018. *-indicates equal contributions[pdf][source code]
  64. Zhou, Y. Zhu, Q. Ye, Q. Qiu, and J. Jiao. Weakly Supervised Instance Segmentation using Class Peak Response. CVPR(Spotlight), 2018.[pdf][source code]
  65. Wan, P. Wei, J. Jiao, Z. Han and Q. Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection. CVPR, 2018.[pdf][source code]
  66. Deng, L. Zheng, Q. Ye, G. Kang, Y. Yang, and J. Jiao. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. CVPR, 2018.[pdf][source code]
  67. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao. Soft Proposal Networks for Weakly Supervised Object Localization. ICCV, 2017.[pdf][source code]
  68. Liu, W. Ke, J. Jiao, and Q. Ye. RSRN: Rich Side-output Residual Network for Medial Axis Detection. ICCV Workshop, 2017.[pdf]
  69. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao and Q. Ye. Correlated Topic Vector for Scene Classification, IEEE Transactions on Image Processing (TIP), 2017.[pdf]
  70. Ke, J. Chen, J. Jiao, and Q. Ye. SRN: Side-output Residual Network for Object Symmetry Detection in the Wild. CVPR(Oral), 2017.[pdf][source code]
  71. Zhou, Q. Ye, Q. Qiu, and J. Jiao. Oriented Response Networks. CVPR, 2017.[pdf][source code]
  72. Ye, T. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro. Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CVPR, 2017.[pdf][source code]
  73. Shi, F. Qin, Q. Ye, Z. Han, and J. Jiao, "A scalable convolutional neural network for task-specified scenarios via knowledge distillation," in IEEE ICASSP 2017. [pdf]
  74. Zhang, Z. Li, X. Cao,Q. Ye, C. Chen, L. Shen, A. Perina, and R. Ji,"Output Constraint Transfer for Kernelized Correlation Filter in Tracking," in IEEE WACV 2017 [pdf]
  75. Xiao Z, Wang G, Zhu J. Model and Algorithm for Rescue Resource Assignment Problem in Disaster Response Based on Demand-Ability-Equipment Matching[C]//International Conference on Queueing Theory and Network Applications. Springer, Cham, 2017: 246-261.
  76. 蔡冬雪, 朱建明, 王国庆. 基于情景分析的应急装备多层级协同布局问题研究[J]. 中国管理科学, 2017, 25(10): 72-79.
  77. 王国庆,肖智文,朱建明,秦红江.基于WBS-RBS的突发事件应急资源需求匹配研究[J].中国安全生产科学技术,2017,13(10):59-63.
  78. 徐锡伟,陈桂华,王启欣,陈立春,任治坤,许冲,魏占玉,鲁人齐,谭锡斌,董绍鹏,石峰.九寨沟地震发震断层属性及青藏高原东南缘现今应变状态讨论[J].地球物理学报,2017,60(10):4018-4026.
  79. 刘舒悦, 朱建明, 黄钧, 孙军红. 地震救援中基于信息实时更新的两阶段应急物资调配模型. 中国管理科学, 2016, 24(9): 124-132.
  80. 王晶, 易显强, 朱建明. 考虑道路修复的应急资源配送可靠路径选择问题研究[J]. 运筹与管理, 2016, 25(6):99-104.
  81. Li, Z. Han, Q. Ye, Person re-identification via adaboost ranking ensemble, IEEE International Conference on Image Processing (ICIP), 2016, 4269-4273. [pdf]
  82. Wan, P. Wei, Z. Han, K. Fu, Q. Ye, Weakly supervised object detection with correlation and part suppression, IEEE International Conference on Image Processing (ICIP), 2016, 3638-3642. [pdf][source code]
  83. Ke, T. Zhang, J. Chen, F. Wan, Q. Ye, Z. Han, Texture Complexity Based Redundant Regions Ranking for Object Proposal, IEEE Conference on Computer Vision and Pattern Workshop, 2016. [pdf]
  84. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.37, No.3, pp.1480-1500, 2015.[pdf]
  85. Gao, Z. Han, C. Li, Q. Ye, J. Jiao, "Real-time Multi-pedestrian Tracking in Traffic Scenes via an RGB-D based Layered Graph Model," IEEE Transactions on Intelligent Transportation Systems, 2015.[pdf]
  86. Ke, Y. Zhang, P. Wei, Q. Ye, J. Jiao, “Pedestrian Detection via PCA Filters Based Convolutional Channel Features,” IEEE Int'l Conf. Acoustic, Speech and Signal Processing (ICASSP), 2015. [pdf][source code]
  87. Zhu, X. Chen, W. Dai, K. Fu, Q. Ye, J. Jiao, "Orientation Robust Object Detection in Aerial Images Using Deep Convolutional Neural Network," IEEE Int'l Conf. Image Processing, 2015.[pdf]
  88. Zhang, X. Song, X. Lv, S. Jiang, Q. Ye, J. Jiao. "Rich image description based on regions". ACM Multimedia Conference, 2015.[pdf]
  89. Zhang, Q. Ye, W. Yang, J. Jiao, “Weld Line Detection and Tracking via Spatial-Temporal Cascaded Hidden Markov Models and Cross Structured Light,” IEEE Transactions on Instrumentation and Measurement, Vol.6, No.4, pp.742-752, 2014.[pdf][source code]
  90. Li, Z. Han, S. Gao, L. Pang, Q. Ye, J. Jiao, "Locality-constrained Sparse Reconstruction for Trajectory Classification," IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  91. Zou, Q. Ye, Y. Cui, D. Doermann, J. Jiao, "A Belief based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes," IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  92. Gao, Z. Han, D. Doermann, J. Jiao,"Depth Structure Association for RGB-D Multi-Target Tracking", IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  93. Ye, D. Doermann, "Robust Scene Text Detection Using Integrated Feature Discrimination," IEEE Int'l Conf. Image Processing, 2014.[pdf][source code]
  94. Zou, Y. Cui, F. Wan, Q. Ye, J. Jiao, "A Cluster Specific Latent Dirichlet Allocation Model for Trajectory Clustering in Surveillance Videos," IEEE Int'l Conf. Image Processing, 2014.[pdf]
  95. 徐锡伟,程佳,许冲,李西,于贵华,陈桂华,谭锡斌,吴熙彦.青藏高原块体运动模型与地震活动主体地区讨论:鲁甸和景谷地震的启示[J].地震地质,2014,36(04):1116-1134.
  96. Q．Ye, Z. Han, J. Jiao, and J. Liu, “Human Detection In Images Via Piecewise Linear Support Vector,” IEEE Transactions on Image Processing, vol.22. no.2, pp.778-789, 2013. [pdf][source code]
  97. Ye, J. Liang, J. Jiao, "Pedestrian Detection In Video Images Via Error Correcting Output Code Classification Of Manifold Subclasses," IEEE Transactions on Intelligent Transportation Systems, vol.1, pp.193-202, 2012.[pdf]
  98. Xu, J. Jiao, B. Zhang, Q. Ye, “Pedestrian Detection in Images via Cascaded L1-Norm Minimization Learning Method,” Pattern Recognition, vol.45, pp.2573-2583, 2012.[pdf]
  99. Gao, X. Chen, Q. Ye, and J. Jiao, "Pedestrian Detection via Part-based Topology Model",IEEE Int'l Conf. Image Processing (ICIP), 2012.[pdf]
  100. 叶齐祥,焦建彬.基于多尺度方向特征的快速鲁棒人体检测算法.软件学报,22(12),pp.3004-3014,2011.[pdf]
  101. Han, J. Jiao, Q. Ye, J. Liu, “Visual Object Tracking Via Sample-Based Adaptive Sparse Representation,” Pattern Recognition, Vol.44, pp.2170-2183, 2011.[pdf]
  102. Han, Q. Ye, J. Jiao, “Combined Feature Evaluation for Adaptive Visual Object Tracking,” Computer Vision and Image Understanding, Vol.115, pp. 69-80, 2011.[pdf]
  103. Han, J. Jiao, and Q. Ye, "A Fast Object Tracking Approach Based on Sparse Representation," IEEE Int'l Conf. Image Processing (ICIP), 2011.[pdf]
  104. Xu, J. Jiao, and Q. Ye, "Nonlinear L1-Norm Minimization Learning for Human Detection," IEEE Int'l Conf. Image Processing (ICIP), 2011.[pdf]
  105. Xu, B. Zhang, Q. Ye, and J. Jiao, "Human Detection in Image via L1-Norm Minimization Learning," IEEE Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2010.[pdf]
  106. Xu, B. Zhang, Q. Ye, and J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR), 2010.[pdf]
  107. Jiao, Q. Ye, and Q. Huang, "A Configurable Method for Multi-Style License Plate Recognition," Pattern Recognition, vol.42, no.3, pp.358-369, 2009.[pdf]
  108. 谢旭阳,田文旗,王云海,张兴凯.我国尾矿库安全现状分析及管理对策研究[J].中国安全生产科学技术,2009,5(02):5-9.
  109. Han, Q. Ye, and J. Jiao, “Online Feature Evaluation for Object Tracking Using Kalman Filter,” IEEE Int'l Conf. Pattern Recognition (ICPR), 2008.[pdf]
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  112. 叶齐祥，高文，王伟强，黄铁军，"一种融合颜色和空间信息的彩色图像分割算法," 《软件学报》, 2004年4月.[pdf]
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