刘宏，北京大学教授 “万人计划”首批专家

人物经历

刘宏，北京大学教授、博士生导师，国家“万人计划”首批入选专家，国家“中青年科技创新领才”，北京大学深圳研究生院科研处处长，智能机器人开放实验室主任，深圳物联网智能感知技术工程实验室主任。计算机科学学士（1990年）、计算机科学硕士（1993年）、机电控制及自动化博士（1996年），计算机科学博士后出站（1998年），先后师从蔡鹤皋院士、王选院士、石青云院士等著名专家。多次赴美国、加拿大、法国、日本、新加坡等国家和地区的多所著名大学和研究机构访问交流，在IROS、ICRA、ROBIO、IIHMSP等多个重要国际学术会议上担任Keynote Speaker、Co-Chair、PC Member和Session Chair等。

1996年起在北京大学任教，先后担任视觉与听觉信息处理国家重点实验室副主任、北京大学智能科学系副主任、信息科学中心副主任，北京大学深圳研究生院教务处处长、科研处处长，参与创建国内第一个智能科学系和智能科学技术专业。兼任中国人工智能学会常务理事、副秘书长、全国智能机器人专业委员会副主任，中国自动化学会智能自动化专业委员会委员，中国计算机学会计算机视觉专业组委员，中国人工智能学会全国青年论坛YOUFIST首任主席，CAAI Transaction on Intelligence Technology国际期刊主编。

2012年9月15日，刘宏到西华大学机械工程学院作了题为“物联网感知与机器人社会”的学术报告。

主要成就

科研成就

长期从事计算机视觉听觉、模式识别与图像处理、智能机器人等领域的教学科研和产业化工作，先后承担10余项国家863课题、973课题和国家自然科学基金项目，在上述领域发表学术论文140多篇，其中100余篇进入SCI/EI检索。研究成果被国内外著名同行研究机构引用数百次，相关成果申报/获得国家发明专利30余项。获韩国KAIST资助的安重根奖、国家航天科技进步奖、吴文俊人工智能科学技术奖、日内瓦国际发明博览会奖、北京大学教学优秀奖、安泰奖和北京大学“十佳教师”候选人等荣誉。2009年入选深圳市首批“高层次专业人才”、2012年入选科技部“中青年科技创新领才”、2013年入选《国家高层次人才特殊支持计划》（“万人计划”，全国机器人领域共五位学者入选）。

近年来承担的主要科研项目：

·国家自然科学基金（联合基金）重点项目：面向服务机器人的视听感知融合与多模态人机交互关键技术

·国家自然科学基金项目:基于麦克风阵列的移动机器人实时声源定位方法研究

·国家自然科学基金项目:面向智能人机交互的移动机器人双耳声源定位研究

·国家自然科学基金项目：人机互动环境下机器人实时运动规划研究

·国家自然科学基金项目:面向人体目标实时跟踪的视觉注意转移机制研究

·国家863课题：面向HRI的机器人视听觉注意机制及运动规划技术

·国家863课题：基于多源信息融合的交通事件自动检测技术

·科技部创新人才推进计划:面向复杂场景人机交互的嵌入式仿生视觉技术

·教育部博士点基金课题:面向显著事件主动感知的仿生立体视觉研究

·广东省重大产业攻关项目：新一代家用服务机器人关键技术突破及集成应用示范

·创业链+产业链融合专项扶持计划：智能电视生产流水线的视觉检测和定位方法

·深圳市战略新兴产业项目：网络环境下智能监控系统公共技术平台

·深圳市战略新兴产业项目：物联网智能感知技术工程实验室

·深圳市基础研究重点项目：面向复杂场景人机交互的仿生视觉技术与系统

科研成果

发表的主要学术论文:

[1]Mengyuan Liu, Hong Liu(刘宏), and Chen Chen, 3D action recognition using multi-scale energy-bad global ternary image, Accepted by IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 28(8): 1824-1838 (2018) （多媒体领域顶级国际学术期刊）

[2]Chen Pang, Hong Liu(刘宏), Jie Zhang, Binaural Sound Localization Bad on Reverberation Weighting and Generalized Parametric Mapping, Accepted by IEEE Transaction on Audio, Speech and Language Processing(TASLP)VOL.25:1618-1632, 2017（机器听觉领域顶级国际学术期刊）

[3]Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasr Kehtarnavaz, Multi-Temporal Depth Motion Maps-Bad Local Binary Patterns for 3-D Human Action Recognition. IEEE Access 5: 22590-22604 (2017) （顶级国际学术期刊）

[4]Mengyuan Liu, Hong Liu(刘宏), Chen Chen, Robust 3D Action Recognition Through Sampling Local Appearances and Global Distributions. IEEE Transaction on Multimedia(TMM) 20(8): 1932-1947 (2018) （多媒体领域顶级国际学术期刊）

[5]Ringwei Ding, Qinqin He, Hong Liu(刘宏), Mengyuan Liu,Combining Adaptive Hierarchical Depth Motion Maps with Skeletal Joints for Human Action Recognition. IEEE Access (2018) （顶级国际学术期刊）

[6]Jiayao Ma, Weiwei Wan, Kensuke Harada, Qiuguo Zhu, Hong Liu(刘宏), Regrasp Planning Using Stable Object Pos Supported by ComplexStructures. IEEE Transactions on Cognitive and Developmental Systems(TCDS) (2018)（人工智能领域重要国际学术期刊）

[7]Pingping Wu, Hong Liu, Chao Xu, Yuan Gao, Zheyuan Li, Xuewu Zhang, How do you smile? Towards a comprehensive smile analysis system. Neurocomputing 235: 245-254 (2017) （人工智能领域重要国际学术期刊）

[8]Mengyuan Liu, Hong Liu(刘宏), and Chen Chen, Enhanced skeleton visualization for view invariant human action recognition, Pattern Recognition(PR) 68: 346-362 (2017)（模式识别领域顶级国际学术期刊）

[9]Pingping Wu, Hong Liu (刘宏), Xiaofei Li, A Novel Lip Descriptor for Audio-Visual Keyword Spotting Bad on Adaptive Decision Fusion, IEEE Transactions on Multimedia (TMM). vol.18(3): 326-338, 2016. （多媒体领域顶级国际学术期刊）

[10]Qianru Sun, Hong Liu, Liqian Ma, Tianwei Zhang, A novel hierarchical Bag-of-Words model for compact action reprentation. Neurocomputing 174: 722-732 (2016) （人工智能领域重要国际学术期刊）

[11]Yuan Gao, Hong Liu(刘宏), Pingping Wu P. A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios. Neurocomputing. vol.174: 1077-1086, 2016. （人工智能领域重要国际学术期刊）

[12]Qianru Su, Hong Liu(刘宏), Tatsuya Harada, Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes, Pattern Recognition(PR) 64: 187-201, 2017.（模式识别领域顶级国际学术期刊）

[13]Mengyuan Liu, Hong Liu(刘宏), Depth Context: a new descriptor for human activity recognition by using sole depth quences. Neurocomputing. vol.175: 747-758, 2016. （人工智能领域重要国际学术期刊）

[14]Qianru Sun Q, Hong Liu(刘宏), Liqian Ma, A novel hierarchical Bag-of-Words model for compact action reprentation. Neurocomputing. vol.174: 722-732, 2016. （人工智能领域重要国际学术期刊）

[15]Jie Zhang, Hong Liu (刘宏), Robust Acoustic Localization Via Time-Delay Compensation and Interaural Matching Filter, IEEE Transactions on Signal Processing(TSP), vol.63, no.18, pp. 4771-4783, 2015. （多媒体信号处理领域顶级国际学术期刊）

[16]Qianru Sun, Hong Liu(刘宏), Mengyuan Liu, Human activity prediction by mapping grouplets to recurrent Self-Organizing Map. Neurocomputing, vol.177: 427-440, 2015. （人工智能领域重要国际学术期刊）

[17]Xiaofei Li, Hong Liu (刘宏), Sound Source Localization for HRI Using FOC-bad Time Difference Feature and Spatial Grid Matching, IEEE Transactions on Cybernetics(TCYB), vol. 43，no.4, pp.1199-1212, 2013. （智能控制领域顶级国际学术期刊）

[18]Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu(刘宏) , Shaohua Teng, Data Uncertainty in Face Recognition. IEEE Trans. Cybernetics (TCYB) 44(10): 1950-1961, 2014. （智能控制领域顶级国际学术期刊）

[19]Yangxi Li, Chao Zhou, Bo Geng, Chao Xu, Hong Liu(刘宏), “A Comprehensive Study on Learning to Rank for Content-bad Image Retrieval”, Signal Processing(SP), 93(6): 1426-1434 , 2013. （信号处理领域顶级国际学术期刊）

[20]Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu(刘宏), “Coar to Fine K Nearest Neighbor Classifier”, Pattern Recognition Letters(PR Letters), 34(9): 980-986, 2013. （模式识别领域重要国际学术期刊）

[21]Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu(刘宏), Yonggang Wen, “Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification”, IEEE Trans. Neural Networks and Learning Systems(TNNLS), 24(5): 709-722, 2013. （人工智能领域重要国际学术期刊）

[22]Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu(刘宏), “Using the Original and ‘Symmetrical Face’ Training Samples to Perform Reprentation bad Two-step Face Recognition”, Pattern Recognition (PR), 46(4): 1151-1158, 2013. （模式识别领域顶级国际学术期刊）

[23]Yuan Gao, Hong Liu(刘宏), Xiaohu Sun. Violence detection using Oriented VIolent Flows. Image u0026 Vision Computing (IVC), 2016. （机器视觉领域重要国际学术期刊）

[24]Zhi Wang, Hong Liu(刘宏), Feature Points Selection With Flocks of Features Constraint for Visual Simultaneous Localization and Mapping, Internal Journal of Advanced Robotic Systems, vol.14, no. 1, 2016. 11. （智能机器人领域重要国际学术期刊）

[25]Chengcheng Zhong, Hong Liu(刘宏), A Region-specific Hybrid Sampling Method for Optimal Path Planning, Internal Journal of Advanced Robotic Systems, vol.13, 2016. （智能机器人领域重要国际学术期刊）

[26]Hong Liu(刘宏), Mengdi Yue, Bi-direction Interaural Matching Filter and Decision Weighting Fusion for Sound Source Localization in Noisy Environments, IEICE Transactions on Information and Systems pp.3192-3196, vol. E99D, no. 12, 2016.（电子信息领域重要国际学术期刊）

[27]Hong Liu(刘宏), Zilin Liang, Qianru Sun, “Robust Tracking with Discriminative Ranking Middle-level Patches”, International Journal of Advanced Robotic Systems (IJARS), 11:68, 2014, doi: 10.5772/58430. （智能机器人领域重要国际学术期刊）

[28]Can Wang, Hong Liu(刘宏), Liqian Ma, “Depth Motion Detection - A Novel RS-Trigger Temporal Logic bad Method”, IEEE Signal Processing Letters (SPL), 21(6): 717-721, 2014. （多媒体信号处理领域重要国际学术期刊）

[29]Can Wang, Hong Liu(刘宏), Yuan Gao, “Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking”, IEEE Signal Processing Letter(SPL), 21(6): 697-701, 2014. （多媒体信号处理领域重要国际学术期刊）

[30]Xiaofei Li, Miao Shen, Wenmin Wang, Hong Liu(刘宏), “Real-time Sound Source Localization for Mobile Robot Bad on Guided Spectral-Temporal Position Method”, International Journal of Advanced Robotic Systems (IJARS), 9:78, 2012. （智能机器人领域重要国际学术期刊）

[31]Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci, Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. CVPR 2018: 3917-3925 （计算机视觉领域顶级国际学术会议）

[32]Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha, Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. ECCV (7) 2018: 262-277（计算机视觉领域顶级国际学术会议）

[33]Hao Tang, Hong Liu(刘宏), Wei Xiao, A Novel Feature Matching Strategy for Large Scale Image Retrieval, International Joint Conference on Artificial Intelligence (IJCAI), New York City2016.8. （人工智能领域顶级国际学术会议）

[34]Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu(刘宏). 3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector, International Joint Conference on Artificial Intelligence (IJCAI), New York City2016.8（人工智能领域顶级国际学术会议）

[35]Hao Tang, Hong Liu(刘宏), Wei Xiao, Gender Classification Using Pyramid Segmentation for Unconstrained Back-facing Video Sequences, ACM Conference on Multimedia Conference(ACMMM). pp.1183-1186, October 26-30, 2015, Brisbane, Australia. （多媒体领域顶级国际学术会议）

[36]Hong Liu(刘宏), Weipeng Huang, Body Structure Bad Triplet Convolutional Neural Network for Person Re-identification, International Conference on Acoustics, Speech and Signal Processing（ICASSP）, pp.1772-1776, 2017. （语音处理领域重要国际学术会议）

[37]Hong Liu(刘宏), Weibo Huang, Zhi Wang, A novel re-tracking strategy for monocular SLAM, International Conference on Acoustics, Speech and Signal Processing（ICASSP）, pp.1942-1946, 2017.（语音处理领域重要国际学术会议）

[38]Hong Liu(刘宏), Bing Yang, Cheng Pang, Multiple sound source localization bad on TDOA clustering and multi-path matching pursuit, International Conference on Acoustics, Speech and Signal Processing（ICASSP）, pp.3241-3245, 2017. （语音处理领域重要国际学术会议）

[39]Hong Liu(刘宏), Qiao Guan, LPCV: Learning projections from corresponding views for person re-identification, International Conference on Acoustics, Speech and Signal Processing（ICASSP）, pp.1777-1781, 2017. （语音处理领域重要国际学术会议）

[40]Hong Liu(刘宏), Qinqin He, Mengyuan Liu, Human Action Recognition Using Adaptive Hierarchical Depth Motion Maps and Gabor Filter, International Conference on Acoustics, Speech and Signal Processing（ICASSP）, pp.3246-3240, 2017.（语音处理领域重要国际学术会议）

[41]Hong Liu(刘宏), Bing Yang, Chen Pang Multiple Sound Source Counting and Localization Bad on Spatial Principal Eigenvector, Interspeech, 2017.8. （语音处理领域重要国际学术会议）

[42]Fanyang Meng, Hong Liu, Yongsheng Liang, Liu Wei, Jihong Pei, A bidirectional adaptive bandwidth mean shift strategy for clustering. ICIP 2017: 2448-2452

[43]Mengyuan Liu, Qinqin He, Hong Liu, Fusing shape and motion matrices for view invariant action recognition using 3D skeletons. ICIP 2017: 3670-3674

[44]Mengyuan Liu, Chen Chen, Hong Liu, Time-ordered spatial-temporal interest points for human action classification. ICME 2017: 655-660

[45]Mengyuan Liu, Chen Chen, Hong Liu, Learning informative pairwi joints with energy-bad temporal pyramid for 3D action recognition. ICME 2017: 901-906

[46]Mengyuan Liu, Chen Chen, Hong Liu, 3D action recognition using data visualization and convolutional neural networks. ICME 2017: 925-930

[47]Hong Liu(刘宏), Mengdi Yue, Probabilistic Binaural Multiple Sources Localization Bad on Time-delay Compensation Estimator Clustering Analysis, IEEE International Conference on Intelligent Robots and Systems (IROS), pp. 4537-4544, October 09th-14th, 2016. （智能机器人领域重要国际学术会议）

[48]Hong Liu(刘宏), Shuning Tao, Saliency Detection via Global- Object- Seed- Guided Cellular Automata, IEEE International Conference on Image Processing (ICIP), pp.2772-2776, September 25th-28th, 2016.（图像处理领域重要国际学术会议）

[49]Hong Liu(刘宏), Xiaohu Sun, Linear Canonical Correlation Analysis Bad Ranking Approach for Facial Age Estimation, IEEE International Conference on Image Processing (ICIP), pp.3249-3253, September 25th-28th, 2016.（图像处理领域重要国际学术会议）

[50]Hong Liu(刘宏), Xiuling Wang, Multi-Channel Linear Prediction Bad on Binaural Coherence for Speech Dereverberation, The 17th Annual Conference of the International Speech Communication Association (Interspeech), pp. 1735-1739, September 8th-12th, 2016. （语音处理领域重要国际学术会议）

[51]Hong Liu(刘宏), Xiaohu Sun, A Partial Least Squares Bad Ranker for Fast and Accurate Age Estimation, IEEE International Conference on Acoustics, speech and Signal Processing (ICASSP), pp. 2792-2796, Mar 20th-25th, 2016. （语音处理领域重要国际学术会议）

[52]Hong Liu(刘宏), Xuewu Zhang X, Pingping Wu, Two-Level Multi-Task Metric Learning with Application to Multi-Classification, IEEE International Conference on Image Processing (ICIP), pp. 2756-2760, September 27-30, 2015, Québec, Canada. （图像处理领域重要国际学术会议）

[53]Hong Liu(刘宏), Xuewu Zhang, Pingping Wu, Regression Bad Landmark Estimation and Multi- Feature Fusion for Visual Speech Recognition, IEEE International Conference on Image Processing (ICIP), pp.808-812, September 27-30, 2015, Québec, Canada. （图像处理领域重要国际学术会议）

[54]Hong Liu(刘宏), Liqian Ma, Online Person Orientation Estimation Bad on Classifier Update, IEEE International Conference on Image Processing (ICIP), pp.1568-1572, September 27-30, 2015, Québec, Canada. （图像处理领域重要国际学术会议）

[55]Hong Liu(刘宏), Lu Tian, Mengyuan Liu, SDM-BSM: A fusing depth scheme for human action recognition, IEEE International Conference on Image Processing (ICIP), September 27 -30, 2015, Québec, Canada. （图像处理领域重要国际学术会议）

[56]Cheng Pang, Jie Zhang, Hong Liu(刘宏), Direction of Arrival Estimation Bad on Reverberation Weighting and Noi Error Estimator. The 16th Annual Conference of the International Speech Communication Association (Interspeech), pp.3436-3440, September 6-10, 2015, Dresden, Germany. （语音处理领域重要国际学术会议）

[57]Hong Liu(刘宏), Fang Xiao, Can Wang, A predictive model for narrow passage path planner by using Support Vector Machine in changing environments, IEEE International Conference on Robotics and Automation(ICRA), pp.2991-2996, May 26–30, 2015, Washington, USA. （智能机器人领域顶级国际学术会议）

[58]Hong Liu(刘宏), Cheng Pang, Jie Zhang, Binaural sound source localization bad on generalized parametric model and two-layer matching strategy in complex environments, IEEE International Conference on Robotics and Automation (ICRA), pp.4496-4503, May 26–30, 2015, Washington, USA. （智能机器人领域顶级国际学术会议）

[59]Hong Liu(刘宏), Liqian Ma, Can Wang, Body-Structure Bad Feature Reprentation for Person Re-Identification. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1389-1393, April 19-24, 2015, South Brisbane, Australia. （语音处理领域重要国际学术会议）

[60]Hong Liu(刘宏), Ting Fan, Pingping Wu, “Audio-visual Keyword Spotting for Mandarin Bad on Discriminative Local Spatial-temporal Descriptors”, International Conference on Pattern Recognition (ICPR), August24-28,2014, Stockholm, Sweden. （模式识别领域重要国际学术会议）

[61]Hong Liu(刘宏), Yuan Gao, Pingping Wu, “Smile Detection in Unconstrained Scenarios Using Self-Similarity of Gradients Features”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, France. （图像处理领域重要国际学术会议）

[62]Hong Liu(刘宏), Yuan Gao, Can Wang, “Gender Identification in Unconstrained Scenarios Using Self-Similarity of Gradients Features”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, France. （图像处理领域重要国际学术会议）

[63]Mengyuan Liu, Hong Liu(刘宏) , Qianru Sun, “Action Classification by Exploring Directional Co-occurrence of Weighted STIPS”, International Conference on Image Processing (ICIP), October 27-30, 2014, Paris, France. （图像处理领域重要国际学术会议）

[64]Hong Liu(刘宏), Jie Zhang, ZhuoFu, “A New Hierarchical Binaural Sound Source Localization Method Bad on Interaural Matching Filter”, IEEE International Conference on Robotics and Automation (ICRA), pp.1598-1605, May 31 - June 7, Hong Kong, 2014. （智能机器人领域顶级国际学术会议）

[65]Hong Liu(刘宏), Ting Fan, Pingping Wu, “Audio-visual Keyword Spotting Bad on Adaptive Decision Fusion under Noisy Conditions for Human-Robot Interaction”, IEEE International Conference on Robotics and Automation (ICRA), pp.6644-6651, May 31 - June 7, Hong Kong, 2014. （智能机器人领域顶级国际学术会议）

[66]Hong Liu(刘宏), Jie Zhang, “A Binaural Sound Source Localization Model Bad on Time-Delay Compensation and Interaural Coherence”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1438-1442, May 4-9, 2014, Florence, Italy. （信号处理领域重要国际学术会议）

[67]Mengyuan Liu, Hong Liu(刘宏), Qianru Sun, “Learning Directional Co-occurrence for Human Action Classification”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , pp.1244-1248, May 4-9, 2014, Florence, Italy. （信号处理领域重要国际学术会议）

[68]Pingping Wu, Hong Liu(刘宏), Xuewu Zhang, “Spontaneous Versus Pod Smile Recognition Using Discriminative Local Spatial-temporal Descriptors”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , pp.1249-1253, May 4-9, 2014, Florence, Italy. （信号处理领域重要国际学术会议）

[69]Hong Liu(刘宏), Can Wang, “Hierarchical Data Association and Depth-Invariant Appearance Model for Indoor Multiple Objects Tracking”, IEEE International Conference on Image Processing (ICIP), pp.2635-2639, September 15-18, 2013, Melbourne, Australia. （图像处理领域重要国际学术会议）

[70]Hong Liu(刘宏), Xing Liu, “Robust Hands Tracking Bad on Online Learning and Multi-cue Flocks of Features”, IEEE International Conference on Image Processing (ICIP), pp.3725-3729,September 15-18, 2013, Melbourne, Australia. （图像处理领域重要国际学术会议）

[71]Can Wang, Hong Liu(刘宏), “Unusual Events Detection bad on Multi-Dictionary Spar Reprentation using Kinect”, International Conference on Image Processing (ICIP), pp. 2968–2972,September 15-18, 2013, Melbourne, Australia. （图像处理领域重要国际学术会议）

[72]Can Wang, Hong Liu(刘宏), Xing Liu, “Maximally Stable Curvature Regions for 3D Hand Tracking”, International Conference on Image Processing (ICIP), pp.3895–3899 ,September 15-18, 2013, Melbourne, Australia. （图像处理领域重要国际学术会议）

[73]Qianru Sun, Hong Liu(刘宏), “Learning Spatio-Temporal Co-occurrence Correlograms for Efficient Human Action Classification”, IEEE International Conference on Image Processing (ICIP), pp.3220-3224,September 15-18, 2013, Melbourne, Australia. （图像处理领域重要国际学术会议）

[74]Qianru Sun, Hong Liu(刘宏), “Inferring Ongoing Human Activities Bad on Recurrent Self-Organizing Map Trajectory”, the 24th British Machine Vision Conference(BMVC), pp.1-10, September 9-13, 2013, Bristol, British. （机器视觉领域重要国际学术会议）

[75]Can Wang, Hong Liu(刘宏), “Salient-motion-heuristic Scheme for Fast 3D Optical Flow Estimation using RGB-D”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.2272–2276, May 26-31, 2013, Vancouver, Canada. （信号处理领域重要国际学术会议）

[76]Hong Liu(刘宏), Zhuo Fu, Xiaofei Li, “A Time-Delay Compensation Bad Two-layer Probabilistic Model For Binaural Sound Localization”, IEEE International Conference on Robotics and Automation (ICRA), pp.2690-2697, May 6-10, 2013, Karlsruhe, Germany. （智能机器人领域顶级国际学术会议）

[77]Hong Liu(刘宏), Qing Sun, Tianwei Zhang, “Hierarchical RRT for Humanoid Robot Footstep Planning with Multiple Constraints in Complex Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), pp.3187-3194, October 7-12, 2012, Vilamoura, Algarve, Portugal. （智能机器人领域重要国际学术会议）

[78]Hong Liu(刘宏), Tianwei Zhang, Chuangqi Wang, “A ’Capacitor’ Bridge Builder Bad Safe Path Planner for Difficult Regions Identification in Changing Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3179-3186, October 7-12, 2012, Vilamoura, Algarve, Portugal. （智能机器人领域重要国际学术会议）

[79]Hong Liu(刘宏), Qianru Sun, “Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram”, The 11th Asian Conference on Computer Vision (ACCV), pp.425-437, November 5-9, 2012, Daejeon, Korea. （机器视觉领域重要国际学术会议）

[80]Hong Liu(刘宏), Jiang Li, “Unsupervid Multi-Target Trajectory Detection, Learning and Analysis in Complicated Environments”, 21st International Conference on Pattern Recognition(ICPR), pp.3716-3720, November 11-15, 2012, Tsukuba Science City, Japan. （模式识别领域重要国际学术会议）

[81]Hong Liu(刘宏), Xiaofei Li, “Time Delay Estimation for Speech Signal Bad on FOC-Spectrum”, International Conference onINTERSPEECH, pp.1730-1733, September 9-13, 2012, Portland, USA. （语音处理领域重要国际学术会议）

[82]Hong Liu(刘宏), Pingping Wu, “Comparison of Methods for Smile Deceit Detection by Training Au6 and Au12 Simultaneously”, IEEE International Conference on Image Processing (ICIP), pp.1805-1808, September 30-October 3, 2012, Florida, USA.（图像处理领域重要国际学术会议）

[83]Xiaofei Li, Hong Liu(刘宏), Xuesong Yang, “Sound Source Localization for Human-Robot Interaction Bad on Spatial Distribution of Time Difference Feature and Grid Matching”, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), pp.2879-2886, September 25-30, 2011, San Francisco, CA, USA. （智能机器人领域重要国际学术会议）

[84]Zheyuan Li, Hong Liu(刘宏), “Real-time Human Tracking Bad on Switching Linear Dynamic System Combined with Adaptive Meanshift Tracker”, IEEE/RSJ International Conference on Image Processing (ICIP), pp.329-2332, September 11-14, 2011, Brusls, Belgium. （图像处理领域重要国际学术会议）

[85]Hong Liu(刘宏), Weiwei Wan, “A Dynamic Subgoal Path Planner for Unpredictable Environments”, IEEE International Conference on Robotics and Automation (ICRA), pp.994-1001,May 3-8, 2010, Anchorage, Alaska, USA. （智能机器人领域顶级国际学术会议）

[86]Hong Liu(刘宏), Huijun He, “A Salient Feature and Scene Semantics bad Attention Model for Human Tracking on Mobile Robot”, IEEE International Conference on Robotics and Automation(ICRA), pp.4545-4552, May 3-8, 2010, Anchorage, Alaska, USA. （智能机器人领域顶级国际学术会议）

[87]Hong Liu(刘宏), Miao Shen, “Continuous Sound Source Localization bad on Microphone Array for Mobile Robots”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.4332-4339, 2010, October 18-22, Taipei, Taiwan. （智能机器人领域重要国际学术会议）

[88]Hong Liu(刘宏), Weiwei Wan, “Adaptive Replanning in Hard Changing Environment”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.5912-5918, Oct. 18-22, 2010, Taipei, Taiwan. 智能机器人领域重要国际学术会议）

人物评价

作为深圳教育界首位国家“万人计划”学者，刘宏教授的研究特色体现为“视觉听觉感知和机器人运动控制的紧密结合”、“人工智能技术与服务机器人产业的紧密结合”、“技术创新与创业实践的紧密结合”：二十五年来专注于所热爱的人工智能和机器人事业，先后培养100多名硕士、博士研究生和博士后，是我国“智能科学与技术”新学科建设的积极倡导者、智能机器人领域科技创新的潜心实践者。

获得荣誉

2017年10月，中国人工智能学会公布了首批会士名单，刘宏在列。