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刘文予
2023-05-11 03:31
  • 刘文予
  • 刘文予 - 教授 博士生导师-华中科技大学-电子信息与通信学院-个人资料

近期热点

资料介绍

个人简历


主讲课程:
“数据结构” 本科生
“软件课程设计” 本科生
“视觉计算” 博士生
科研项目:
主持完成8项国家自然科学基金,正在承担国家自然科学基金重点项目“面向网络信息安全的图像视频中的文字语义理解理论与方法”、国家重点研发计划等纵向项目,与多家知名企业建立联合实验室,承担华为、腾讯、平安保险等横向项目。

研究领域


人工智能、机器学习、计算机视觉、机器人等""

近期论文


[1]Mengting Chen, Xinggang Wang, Bin Feng, Wenyu Liu: Structured random forest for label distribution learning. Neurocomputing 320: 171-182(2018)
[2]Yuan Li, Xinggang Wang, Wenyu Liu, Bin Feng: Deep attention network for joint hand gesture localization and recognition using static RGB-D images. Inf. Sci. 441: 66-78 (2018)
[3]Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki: DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks. Medical Image Analysis 45: 121-133
[4]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu: Revisiting multiple instance neural networks. Pattern Recognition 74: 15-24 (2018)
[5]Yingying Zhu, Minghui Liao, Mingkun Yang, Wenyu Liu: Cascaded Segmentation-Detection Networks for Text-Based Traffic Sign Detection. IEEE Trans. Intelligent Transportation Systems 19(1): 209-219 (2018)
[6]Baoguang Shi, Xiang Bai, Wenyu Liu, Jingdong Wang: Face Alignment With Deep Regression. IEEE Trans. Neural Netw. Learning Syst. 29(1): 183-194(2018)
[7]Chao Li, Xinggang Wang, Wenyu Liu: Neural features for pedestrian detection. Neurocomputing 238: 420-432 (2017)
[8]Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu: Learning extremely shared middle-level image representation for scene classification. Knowl. Inf. Syst. 52(2): 509-530 (2017)
[9]Sihua Yi, Wenyu Liu: Multiscale salient region-based visual tracking. Mach. Vis. Appl. 28(3-4): 327-339 (2017)
[10]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu: Deep patch learning for weakly supervised object classification and discovery. Pattern Recognition71: 446-459 (2017)
[11]Jiaoyan Chen, Bang Wang, Wenyu Liu, Laurence T. Yang, Xianjun Deng: Rotating Directional Sensors to Mend Barrier Gaps in a Line-Based Deployed Directional Sensor Network. IEEE Systems Journal 11(2): 1027-1038 (2017)
[12]Bang Wang, Qiao Kong, Wenyu Liu, Laurence T. Yang: On Efficient Utilization of Green Energy in Heterogeneous Cellular Networks. IEEE Systems Journal11(2): 846-857 (2017)
[13]Bin Feng, Fangzi He, Xinggang Wang, Yongjiang Wu, Hao Wang, Sihua Yi, Wenyu Liu: Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. IEEE Trans. Human-Machine Systems 47(4): 511-523 (2017)
[14]Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu: Learning Multi-Instance Deep Discriminative Patterns for Image Classification. IEEE Trans. Image Processing 26(7): 3385-3396 (2017)
[15]Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan Latecki: Similarity Fusion for Visual Tracking. International Journal of Computer Vision 118(3): 337-363 (2016)
[16]Sihua Yi, Nan Jiang, Xinggang Wang, Wenyu Liu: Individual adaptive metric learning for visual tracking. Neurocomputing 191: 273-285 (2016)
[17]Yingying Zhu, Chengquan Zhang, Duoyou Zhou, Xinggang Wang, Xiang Bai, Wenyu Liu: Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing 214: 758-766 (2016)
[18]Juntao Liu, Chenhong Sui, Dewei Deng, Junwei Wang, Bin Feng, Wenyu Liu, Caihua Wu: Representing conditional preference by boosted regression trees for recommendation. Inf. Sci. 327: 1-20 (2016)
[19]Yang Wang, Xinggang Wang, Wenyu Liu: Unsupervised local deep feature for image recognition. Inf. Sci. 351: 67-75 (2016)
[20]Sihua Yi, Nan Jiang, Bin Feng, Xinggang Wang, Wenyu Liu: Online similarity learning for visual tracking. Inf. Sci. 364-365: 33-50 (2016)
[21]Caihua Wu, Junwei Wang, Juntao Liu, Wenyu Liu: Recurrent neural network based recommendation for time heterogeneous feedback. Knowl.-Based Syst. 109: 90-103 (2016)
[22]Xin Yang, Hung Le Minh, Kwang-Ting (Tim) Cheng, Kyung Hyun Sung, Wenyu Liu: Renal compartment segmentation in DCE-MRI images. Medical Image Analysis 32: 269-280 (2016)
[23]Bang Wang, Jiaoyan Chen, Wenyu Liu, Laurence T. Yang: Minimum Cost Placement of Bistatic Radar Sensors for Belt Barrier Coverage. IEEE Trans. Computers 65(2): 577-588 (2016)
[24]Xiang Bai, Cong Yao, Wenyu Liu: Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition. IEEE Trans. Image Processing 25(6): 2789-2802 (2016)
[25]Song Bai, Xiang Bai, Wenyu Liu: Multiple Stage Residual Model for Image Classification and Vector Compression. IEEE Trans. Multimedia 18(7): 1351-1362 (2016)
[26]Chen Tian, Yi Wang, Yan Luo, Hongbo Jiang, Wenyu Liu, Jie Wu, Hao Yin: Minimizing Content Reorganization and Tolerating Imperfect Workload Prediction for Cloud-Based Video-on-Demand Services. IEEE Trans. Services Computing 9(6): 926-939 (2016)
[27]Wenyu Liu, Caihua Wu, Bin Feng, Juntao Liu: Conditional preference in recommender systems. Expert Syst. & Appl. 42(2): 774-788 (2015)
[28]Bang Wang, Shengliang Zhou, Wenyu Liu, Yijun Mo: Indoor Localization based on Curve Fitting and Location Search Using Received Signal Strength. IEEE Transactions on Industrial Electronics, 62(1): 572-582(2015)
[29]Xianjun Deng, Bang Wang, Wenyu Liu, Laurence T. Yang: Sensor Scheduling for Multi-Modal Confident Information Coverage in Sensor Networks. IEEE Trans. Parallel Distrib. Syst. 26(3): 902-913(2015)
[30]Bang Wang, Han Xu, Wenyu Liu, Laurence T. Yang:The Optimal Node Placement for Long Belt Coverage in Wireless Networks. IEEE Trans. Computers 64(2): 587-592 (2015)
[31]Zhongyuan Lai, Zhe Wang, Zhen Zuo, Zhijun Yao, Wenyu Liu: B-spline-based shape coding with accurate distortion measurement using analytical model. Neurocomputing 149: 1631-1646 (2015)
[32]Juntao Liu, Caihua Wu, Yi Xiong, Wenyu Liu: List-wise probabilistic matrix factorization for recommendation. Information Science. 278: 434-447 (2014)
[33]Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu: Robust Subspace Discovery via Relaxed Rank Minimization. Neural Computation 26(3): 611-635 (2014)
[34]Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, Longin Jan Latecki: Bag of contour fragments for robust shape classification. Pattern Recognition 47(6): 2116-2125 (2014)
[35]Han Xu, Wenyu Liu, Bang Wang: Subarea Localization Performance of the Divide-and-Cover Node Deployment in a Long-Bounded Belt Scenario. IEEE Trans. Computers 63(11): 2842-2850 (2014)
[36]Nan Jiang, Wenyu Liu: Data-Driven Spatially-Adaptive Metric Adjustment for Visual Tracking. IEEE Transactions on Image Processing 23(4): 1556-1568 (2014)
[37]Cong Yao, Xiang Bai, Wenyu Liu: A Unified Framework for Multioriented Text Detection and Recognition. IEEE Transactions on Image Processing 23(11): 4737-4749 (2014)
[38]Pan Chen, Xiang Bai, Wenyu Liu: Vehicle Color Recognition on Urban Road by Feature Context. IEEE Transactions on Intelligent Transportation Systems 15(5): 2340-2346 (2014)
[39]Juntao Liu, Yi Xiong, Caihua Wu, Zhijun Yao, Wenyu Liu: Learning Conditional Preference Networks from Inconsistent Examples. IEEE Trans. Knowl. Data Eng. 26(2): 376-390 (2014)
[40]Juntao Liu, Caihua Wu, Wenyu Liu: Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation. Decision Support Systems 55(3): 838-850 (2013)
[41]Zhongyuan Lai, Wenyu Liu, Fan Zhang, Guang Cheng: Perceptual Distortion Measure for Polygon-Based Shape Coding. IEICE Transactions 96-D(3): 750-753 (2013)
[42]Zhijun Yao, Wenyu Liu: Extracting robust distribution using adaptive Gaussian Mixture Model and online feature selection. Neurocomputing 101: 258-274 (2013)
[43]Chun Wang, Wenyu Liu, Zhongyuan Lai, Hongyuan Wang: Perceptually friendly shape decomposition by resolving segmentation points with minimum cost. J. Visual Communication and Image Representation 24(3): 270-282 (2013)
[44]Juntao Liu, Zhijun Yao, Yi Xiong, Wenyu Liu, Caihua Wu: Learning conditional preference network from noisy samples using hypothesis testing. Knowl.-Based Syst. 40: 7-16 (2013)
[45]Zhou Ren, Junsong Yuan, Wenyu Liu: Minimum Near-Convex Shape Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2546-2552 (2013)
[46]Bang Wang, Han Xu, Wenyu Liu, Hui Liang: A Novel Node Placement for Long Belt Coverage in Wireless Networks. IEEE Trans. Computers 62(12): 2341-2353 (2013)
[47]Bang Wang, X. Deng, Wenyu Liu, L. Yang and H. Chao, \
中国图象图形学会常务理事
中国图象图形学会图象视频处理与通信专业委员会副主任委员
中国自动化学会模式识别与机器智能专业委员会委员
中国人工智能学会模式识别专业委员会委员
中国通信学会通信理论与信号处理专业委员会委员
中国电子教育学会研究生教育分会常务理事

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