学术发表

代表性学术论文:

2019

[1]  Yilin, W., Hong, C., Jing, Q., Anren, Z., & Hongchen, H. The AIDER System and Its Clinical Applications. SCIENCE CHINA Information Sciences.

http://engine.scichina.com/publisher/scp/journal/SCIS/doi/10.1007/s11432-019-9917-0?slug=abstract

[2] Wang, Y., Cheng, H., and Hou, L. (2019). c2AIDER: A Cognitive Cloud Exoskeleton System and Its Applications. Cognitive Computation and Systems, 1(2), 33-39.

https://digital-library.theiet.org/content/journals/10.1049/ccs.2018.0012

[3]  Rui Huang, Hong Cheng, Jing Qiu, Jianwei Zhang. Learning Physical Human-Robot Interaction with Coupled Cooperative Primitives for a Lower Exoskeleton [J].

IEEE Trans. Automation Science and Engineering 16(4): 1566-1574 (2019)https://ieeexplore.ieee.org/document/7759787

[4]  Qiming Chen, Hong Cheng, Rui Huang, Jing Qiu, Xinhua Chen. Learning and Planning of Stair Ascent for Lower-Limb Exoskeleton Systems [J].

Industrial Robot 46(3): 421-430 (2019)https://www.emerald.com/insight/content/doi/10.1108/IR-03-2018-0054/full/html

[5] Chaobin Zou, Rui Huang, Hong Cheng, Qiming Chen, Jing Qiu. Adaptive Gait Planning for Walking Assistance Lower Limb Exoskeletons in Slope Scenarios [C].

ICRA 2019: 5083-5089. https://ieeexplore_ieee.xilesou.top/abstract/document/8793863

[6] Yan Liu, Xiangzhu zeng, Ling Wang, Zheng Wang, Qiang Wang. Comparison and Analyzation of Different Feature Parameters for Alzheimer's Disease

Identification [C].  International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.7.23-2019.7.26. 

https://ieeexplore.ieee.org/document/8856358

[7] Jianmei Su, Hong Cheng, Hongliang Guo, Zhinan Peng. Robust Quadratic Programming for MDPs with uncertain observation noise[J].

Neurocomputing 370: 28-38 (2019). https://sciencedirect.xilesou.top/science/article/abs/pii/S092523121931183X

[8] Wang Ling, Chen Kesong. The Performance Analysis of Second Order Band-pass Filter [C]. 2019 3rd International Conference on Circuits, System and Simulation

(ICCSS 2019), 2019.6.13-2019.6.15. 

[9] Huiqin Zhan ,Ling Cheng .Lane detection image processing algorithm based on FPGA for intelligent vehicle [C]. Chinese Automation Conference,

CAC2019, Nov.22-24, Hangzhou, China

[10] Lei Zhu, Shuguang Li, Yaohua Li, Min Wang, Chenyang Zhang, Yanyu Li, Jin Yao, Hao Ji. Analysis of Braking Intention based on fNIRS in Driving Simulation

Experiments[J]. The Institution of Engineering and Technology, volume 13, Issue 7, July 2019, p.1181-1189.

 https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5304

[11] Zhinan Peng, Yiyi Zhao, Jiangping Hu, Bijoy Kumar Ghosh. Data-driven optimal tracking control of discrete-time multi-agent systems with two-stage policy

iteration algorithm [J]. Information Sciences, 2019, 481: 189-202. https://www.sciencedirect.com/science/article/pii/S0020025518310326?via%3Dihub

[12]  Zhinan Peng, Jiangping Hu, Kaibo Shi, Rui Luo, Rui Huang, et al., A novel optimal bipartite consensus control scheme for unknown multi-agent systems via

model-free reinforcement learning [J]. Appl. Math. Comput.  doi: 10.1016/j.amc.2019.124821.

 https://sciencedirect.xilesou.top/science/article/abs/pii/S0096300319308136

[13] Zhinan Peng, Jiefu Zhang, Jiangping Hu, Rui Huang, Bijoy Kumar Ghosh. Optimal containment control of continuous-time multi-agent systems with unknown

disturbances using data-driven approach [J], SCIENCE CHINA Information Sciences. 

http://engine.scichina.com/publisher/scp/journal/SCIS/doi/10.1007/s11432-019-9868-2?slug=abstract

[14] Tianhao Wu, Ao Luo, Rui Huang, Hong Cheng, Yang Zhao. End-to-end Driving Model for Steering Control of Autonomous Vehicles with Future Spatiotemporal

Features [C].  International Conference on Intelligent Robots and Systems (IROS 2019). 

[15] yuan liu, Zhibin Cui, Hong Cheng. Pedestrian Detection and Behavior Recognition Based on Vision [C]. IEEE International Conference on Intelligent Transportation

Systems(ISTC2019). October 27-30, 2019, Auckland, New Zealand. 

[16] Guangkui Song, Rui Huang, Hong Cheng, Jing Qiu, Qiming Chen, Shuai Fan. Leaning Continuous Coupled Multi-controller Coefficients based on

Actor-Critic Algorithm for Lower Limb Exoskeleton [J]. SCIENCE CHINA Information Sciences. 

http://engine.scichina.com/publisher/scp/journal/SCIS/doi/10.1007/s11432-018-9779-6?slug=abstract

[17] Yang Zhao, Long Wen, Shuangguang Li, Hong Cheng. A View-invariant Skeleton Map with 3DCNN for Action Recognition [C]. Chinese Automation

Conference,CAC2019, Nov.22-24,Hangzhou,China. 

[18] Yang Zhao, Shuangguang Li, Hong Cheng. A Reinforcement LSTM for Highway Trajectory Prediction [C]. Chinese Automation Conference,

CAC2019, Nov.22-24,Hangzhou,China.

[19]  Long Wen, Yang Zhao, Shuangguang Li, Hong Cheng. MST-ResNet: A Multiscale Spatial Temporal ResNet for Steering Prediction [C].  2019 2nd China Symposium

on Cognitive Computing and Hybrid Intelligence (CCHI), 21-22 Sept. 2019, Xi'an, China.

https://ieeexplore.ieee.org/document/8901931

[20]  Huiqin Zhan .A new detector for on-line wear debris detection in lubrication oil [C]. Chinese Automation Conference,CAC2019, Nov.22-24,Hangzhou,China.

[21] Chenyang Zhang, Shuguang Li, Yaohua Li, Jin Yao, Lei Zhu, Min Wang. Differences of the Motion Sickness Associated Brain Activity Regions based on the Driving

Simulator and fNIRS [J]. Journal of Automotive Safety and Energy. Accepted in Oct, 2019. 

[22] Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng. Hybrid Graph Neural Networks for Crowd Counting [C]. In AAAI, 2020.

Accepted in Nov, 2019.

[23] Hongqin Xie, Guillaume Krebs, Maya Hage Hassan, Man Zhang, Claude Marchand, Zhuoxiang Ren. A New Reluctance Network-Based Method with Complementary

Distributed Magnetomotive Forces [J]. IEEE Transactions on Magnetics, 2019, 55(6): 8103805https://ieeexplore.ieee.org/document/8698856

[24]  Man Zhang, Imen Bahri, Xavier Mininger, Cristina Vlad, Hongqin Xie*, Eric Berthelot. A New Control Method for Vibration and Noise Suppression in Switched [J].

Energies 2019, 12(8), 1554https://www_mdpi.xilesou.top/1996-1073/12/8/1554

[25] Hongqin Xie, Guillaume Krebs, Maya Hage Hassan, Man Zhang, Claude Marchand, Zhuoxiang Ren. Linear Interpolation-based Method with Branch Connection

Constraints for Movement in Reluctance Network Model [C].  22nd International Conference on the Computation of Electromagnetic Fields - COMPUMAG2019. 2019,

Paris, France. 

[26] Su, Jianmei and Cheng, Hong and Guo, Hongliang and Huang, Rui and Peng, Zhinan. An Approximate Quadratic Programming for  Efficient Bellman Equation

Solution[J]. IEEE Access,2019,7:126077--126087https://ieeexplore.ieee.org/document/8822946

[27] Ling Wang, Yan Liu, Xiangzhu Zeng, Hong Cheng, Zheng Wang, Qiang Wang, Region-of-Interest Based Sparse Feature Learning Method for Alzheimer's Disease [J].

Computer Methods and Programs in Biomedicine,2019, Accepted.
 

2018

[1] Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li, Multi-Scale Bidirectional FCN for Object Skeleton Extraction, AAAI, 2018.

[2] Ling Wang, Hong Cheng, Zhicheng Liu. A Set-to-Set Nearest Neighbor Approach for Robust and Efficient Face Recognition with Image Sets, Journal of Visual Communication and Image Representation, 2018.

[3] Jingren Tang, Hong Cheng, Yang Zhao, Hongliang Guo. Structured Dynamic Time Warping for Continuous Hand Trajectory Gesture Recognition, Pattern Recognition, 2018.

[4] Rui Huang, Zhinan Peng, Hong Cheng, Jiangping Hu, Jing Qiu, Chaobin Zou, Qiming Chen, Learning-based Walking Assistance Control Strategy for a Lower Limb Exoskeleton with Hemiplegia Patients, IROS, 2018.

[5] Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen, Contour Knowledge Transfer for Salient Object Detection, ECCV, 2018.

[6] Huang Rui, Cheng Hong, Guo Hongliang, Lin Xichuan, Hierarchical Learning Control with Physical Human-Exoskeleton Interaction, INFORMATION SCIENCES, 2018.

[7] Chen Qiming, Cheng Hong, Yue Chunfeng, Dynamic Balance Gait for Walking Assistance Exoskeleton,  APPLIED BIONICS AND BIOMECHANICS, 2018.

[8] Li Zhan, Guiraud David, Andreu David, Real-Time Closed-Loop Functional Electrical Stimulation Control of Muscle Activation with Evoked Electromyography Feedback for Spinal Cord Injured Patients, INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2018.

[9] Li Zhan, Yin Ziguang, A Method for Controlling Parallel and Series RLC Circuits with Time-Varying Resistance, Inductance and Capacitance, CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018.

[10] Li Zhan, Yin Ziguang, Zhang Dynamics based Tracking Control of Knee Exoskeleton with Timedependent Inertial and Viscous Parameters, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2018.

[11] Su Jianmei, Cheng Hong, Yang Lu, Luo Ao, Robust spatial-temporal Bayesian view synthesis for video stitching with occlusion handling, MACHINE VISION AND APPLICATIONS, 2018.

[12] Qiu Jing, An Adaptive and Jointless Hand Exoskeleton System Design, ICARCV, 2018.

[13] Guangkui Song, Rui Huang, Hong Cheng, Qiming Chen, Shuai Fan. Learning Coupled Parameters with Continuous Domains for Human-powered Lower Exoskeleton, ICARM, 2018.

[14] Guangkui Song, Rui Huang, Hong Cheng, Jing Qiu Qiming Chen, Shuai Fan. Adaptive Compensation Learning for Lower-Limb Exoskeleton Systems, ICCSIP, 2018.

[15] Guoxiong Wu, Rui Huang, Jiasheng Hao, Hong Cheng, Shanren Wang. Gait Phase Optimization of Swing Foot for a Quadruped Robot, ICCSIP, 2018.

[16] Wenhao Ma, Hong Cheng, Rui Huang, Qiming Chen. Gait Planning with Dynamic Movement Primitives for Lower Limb Exoskeleton Walking Up Stairs,  ROBIO, 2018.

[17] Yiqun Kuang, Learning Jumping Skills from Human with a Fast Reinforcement Learning Framework, ICACI, 2018.

2017

[1] Chengguang Yang, Kunxia Huang, Hong Cheng, Yanan Li, Zhijun Li, and Chunyi Su, Haptic Identification by ELM Controlled Uncertain Manipulator, IEEE TSMC-A, 2017 (Submitted).

[2] Abusabah Ishag Almahi,Hong Cheng,et al.,On-line Walking Speed Control in Human-Powered Exoskeleton Systems Based on Dual Reaction Force Sensors",  Journal of Intelligent & Robotic Systems, 2017 (accepted).

[3] Fan Yang,Xin Li,Hong Cheng,Jianping Li,Leting Chen.Object-Aware Dense Semantic Correspondence,IEEE CVPR,2017 (accepted).

[4] Ling Wang, Yan Liu, Hong Cheng, Xiangzhu Zeng, Zheng Wang,Elastic Net based sparse feature learning and classification for Alzheimer's disease identification,EMBC,2017,(accepted).

[5] Hong Cheng,Yaqi Liu,Wenhao Fu,Yanli Ji,Lu Yang,Yang Zhao,Jie Yang,Gazing Point Dependent Eye Gaze Estimation,Pattern Recognition,2017.(accepted).

[6] Xin Li, Fan Yang, Hong Cheng, Junyu Chen, Yuxiao Guo, Leiting Chen, Multi-Scale Cascade Network for Salient Object Detection, ACM MM, 2017.

[7] Lu Yang , Jing Li , Yuansheng Luo , Yang Zhao,Hong Cheng, Jun Li, Deep Background Modeling Using Fully Convolutional Network, IEEE Transactions on Intelligent Transportation Systems, 2017.

[8] Rui Huang, Hong Cheng, Hongliang Guo, Xichuan Lin, Jianwei Zhang.Hierarchical learning control with physical human-exoskeleton interaction, Information Sciences,2017.

2016

[1] Rui Huang, Hong Cheng, Hongliang Guo, Xichuan Lin, Qiming Chen, Fuchun Sun, Learning Cooperative Primitives with Physical Human-Robot Interaction for a Human-Powered Lower Exoskeleton, IROS, 2016.

[2] Huang R, Cheng H, Guo H, et al. Hierarchical Interactive Learning for a HUman-Powered Augmentation Lower EXoskeleton. IEEE International Conference on Robotics and Automation. 2016: 257-263.

[3] Jianmei Su, Hong Cheng, Lu Yang, Ao Luo, Bayesian View Synthesis For Video Stitching, In ICME Workshop, 2016.

[4] Wang L, Cheng H, Lan H, et al. Automatic Recognition of Pertrochanteric Bone Fractures in Femur Using Level Sets.Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. IEEE, 2016: 3851-3854.

[5] Jing Qiu, Fukui Wang, Long Gao, Hong Cheng, Zhan Li, Intention Recognition of Human Movement Based on EEG, Chinese Control Conference, 2016.

[6] Mien Ka, Hong Cheng, Huu Toan Tran, Qiu Jing, Minimizing Human-Exoskeleton Interaction Force Using Compensation for Dynamic Uncertainty Error with Adaptive RBF Network, Journal of Intelligent and Robotic Systems, Vol. 82, No. 3, pp. 413-433, 2016.

[7] Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li, Sparse Bayesian learning with a Gaussian hierarchical model, Signal Processing, 2016(Accepted).

[8] Ratha Pech, Dong Hao, Liming Pan, Hong Cheng, Tao Zhou, Link Prediction via Matrix Completion, Social and Information Networks, arXiv:1606.06812, 2016.

[9] Yanxia Zhang, Lu Yang, Binghao Meng, Hong Cheng, Yong Zhang, Qian Wang and Jiadan Zhu,On the Quantitative Analysis of Sparse RBMs, 17th Pacific-Rim Conference on Multimedia (PCM), 2016.

[10] 张良伟,程洪,岳春峰,黄瑞,陈启明。 面向下肢外骨骼机器人的地面特性识别及其系统实现。中国控制会议(CCC),2016。

[11] Dian Huang, Hong Cheng and Lu Yang, Interactive Banknotes Recognition For The Visual Impaired With Wearable Assistive Devices, Chinese Conference on Pattern Recognition, 2016.

[12] Jing Li, Hong Cheng, Runzhou Wang and Lu Yang, Real-time Object Tracking using Dynamic Measurement Matrix, Chinese Conference on Pattern Recognition, 2016.

[13] Kunxia Huang, Chenguang Yang, Hong Cheng, Object Property Identification Using Uncertain Robot Manipulator, Chinese Conference on Pattern Recognition, 2016.

[14] Abusabah I. A. Ahmed, Hong Cheng, Xichuan Lin, Motion Planing and Control of Maneuverable Human-Powered Exoskeleton Systems, in IROS Workshop, 2016.

[15] Yuansheng Luo, Hong Cheng and Lu Yang, Size-Invariant Fully Convolutional Neural Network for Vessel Segmentation of Digital Retinal Images, APSIPA, 2016.

[16] Nan Zhou, Hong Cheng, Huaping Liu, Witold Pedryczb, Discriminative Sparse Subspace Learning and Its Application to Unsupervised Feature Selection, ISA Transactions, 2016, 61:104–118

[17] Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz,Global and Local Structure Preserving Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature SelectionPattern Recognition,2016,53:87-101

[18] Lu Yang, Hong Cheng, Jianan Su, Xuelong Li, Pixel-to-Model Distance for Robust Background Reconstruction, IEEE Transactions on Circuits and Systerms for Video Technology, 2016,26(5):903-916.

[19] Rui Huang, Hong Cheng, Yi Chen, Xichuan Lin, Jing Qiu, Optimisation of Reference Gait Trajectory of a Lower Limb ExoskeletonInternational Journal of Social Robotics, 2016,8(2):223-235

[20] Toan Huu Tran, Hong Cheng, Rui Huang, Xichuan Lin, Qiming Chen, Evaluation of a fuzzy-based impedance control strategy on a powered lower exoskeletonInternational Journal of Social Robotics, 2016,8(1):103-123

[21] Hong Cheng, Lu Yang , Zicheng Liu, A Survey on 3D Hand Gesture Recognition, IEEE Transactions on Circuits and Systerms for Video Technology, 2016,26(9):1-1

[22]Cheng H, Liu Z, Hou L, et al. Sparsity-Induced Similarity Measure and Its Applications. IEEE Transactions on Circuits & Systems for Video Technology, 2016, 26(4):613-626.

[23] Hong Cheng, Zhongjun Dai, Zicheng Liu Yang Zhao, An Image-to-Class Dynamic Time Warping Approach for both 3D Static and Trajectory Hand Gesture Recognition, Pattern Recognition, Dec. 2016,55(C):137-147.

2015

[1] Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun, Robust Kernel Dictionary Learning using A Whole Sequence Convergent Algorithm, International Joint Conference on Artificial Intelligence (IJCAI), 2015.

[2] Yang Zhao, Hong Cheng, Lu Yang, 3D Sparse Quantization for Feature Learning In Action Recognition, China SIP, 2015.

[3] Rui Huang, Hong Cheng, Qiming Chen, HUU TOAN TRAN, Xichuan Lin, Interactive Learning for Sensitivity Factors of a Human-powered Augmentation Lower Exoskeleton, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015

[4] Zhan Li, Hong Cheng, Muscle Synergy Analysis of a Set of Lower Extremity Movements in Quiet Standing Scenario,  IEEE International Conference on Information and Automation 2015 (Oral Paper)

[5] Dekun Hu, Binghao Meng, Shengyi Fan, Hong Cheng, Lu Yang, Yanli Ji, Real-Time Understanding of Abnormal Crowd  Behavior on Social Robots, 16th Pacific-Rim Conference on Multimedia (PCM), 2015

[6] Jingren Tang, Hong Cheng, Lu Yang, Recognizing 3D Continuous Letter Trajectory Gesture Using Dynamic Time Warping,  16th Pacific-Rim Conference on Multimedia (PCM), 2015. (Oral Paper)

[7] Lu Yang, Hong Cheng, Jiasheng Hao, Yanli Ji, Yiqun Kuang, A Survey on Media Interaction in Social Robotics, 16th  Pacific-Rim Conference on Multimedia (PCM), 2015. (Oral Paper)

[8] Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, Siwei Lyu, Fast online upper body pose estimation from video, British Machine Vision Conference (BMVC), 2015

[9] Chengyu Peng, Hong Cheng, Manchor Ko, An Efficient Two-Stage Sparse Representation Method, International Journal of  Pattern Recognition and Artificial Intelligence, 2015

2014

[1] Ling Wang,  Hong Cheng, Zicheng Liu, Ce Zhu, A Robust Elastic Net Approach for Feature Learning ,

Journal of Visual Communication and Image Representation, Vol. 25, No. 2,  pp. 313-321, February 2014.

[2]Hong Cheng, Rongchao Yu, Zicheng Liu, Lu Yang, Xuewen Chen, Kernelized Pyramid Nearest Neighbor Search for Object Categorization, Machine Vision and Applications, February 2014.

[3] Yali Zheng, Hong Cheng, Yuan Yan Tang, Bin Fang, Optimized Trajectory Recovery of On-road Vehicles from Monocular Videos with Multiple Constraints IEEJ Transactions on Electronics, Information and Systems, Vol. 9,   No. 2, pp.200-206, March 2014.

[4] Hong Cheng, Jun Luo, Xuewen Chen, Windowed Dynamic Time Warping for 3D Hand Trajectory Gesture Recognition, ICME 2014.

[5]Lu Yang, Hong Cheng, Jianan Su, Xuewen Chen, Pixel-to-Model Background Modeling in Crowded Scenes, ICME 2014.

[6]Hong Cheng, Haoyang Zhuang, Yanli Ji, Guo Ye, Yang Zhao, 3D Medial Axis Distance for Hand Detection, ICME Workshop, 2014.

[7]Yanli Ji, Guo Ye, Hong Cheng,  Interactive Body Part Contrast Mining for Human Interaction Recognition, ICME Workshop, 2014.

[8]Huu-Toan Tran, Hong Cheng and Mien-Ka Duong, Learning the Relation of Physical Interaction to Dynamic Factors during Human-Exoskeleton Collaboration,  IEEE International Conference on Multisensor Fusion and Integration, 2014.

[9]Rui Huang, Hong Cheng, Hangming Zheng, Qiming Chen and Xichuan Lin, Study on Master-Slave Control Strategy of Lower Extremity Exoskeleton Robot, WCICA 2014.

[10]Huu-Toan Tran, Hong Cheng, XiChuan Lin, Mien-Ka Duong, Rui Huang, The relationship between physical human-exoskeleton interaction and dynamic factors: using a learning approach for control applications, Science China information Sciences, October 2014.

[11] Y. Wang, H. Cheng, Y. Zheng, L. Yang, Face recognition in the wild by mining frequent feature itemset, CCPR2014.

[12] Wenrong Zeng, Xuewen Chen, Hong Cheng, Pseudo Labels for Imbalanced Multi-Label Learning, DSAA2014.

[13] Melih S. Aslan, Xuewen Chen, Hong Cheng, Learning Sparse and Scale-free Networks, DSAA2014.

[14] Huu Toan Tran, Hong Cheng, Mien Ka Duong and Hangming Zheng, Fuzzy-based Impedance Regulation for Control of the Coupled Human-Exoskeleton System, IEEE ROBIO 2014.

2013

[1] Hong Cheng, Zhongjun Dai,  Zicheng Liu, Image-to-class dynamic time warpping for 3D hand gesture recognition, In IEEE International Conference on Multimedia and Expo, July 2013.[slides]

[2] Yang Zhao, Zicheng Liu, Hong Cheng, RGB-Depth Feature for 3D Human Activity Recognition, China Communication, Vol. 10, No. 7, pp. 93-103, July 2013.

[3] Wenrong Zeng, Xue-Wen Chen, Hong Cheng and Jing Hua, Multi-Space Learning for Image Classification Using AdaBoost and Markov Random FieldsSolving Comeplex Machine Learning Problems with Ensemble Methods  Workshop, 2013.

[4] Hong Cheng, Zicheng Liu, Lu Yang, Xuewen Chen, Sparse Representation and Learning in Visual Recognition: Theory and ApplicationsSignal Processing, Elsevier, Vol. 93, No. 6, pp. 1408-1425, June 2013.

[5]Yiguang Liu, Liping Cao, Chunling Liu, Yifei Pu, Hong Cheng, Recovering Shape and Motion by a Dynamic Systems for Low-rank Matrix Approximation in L1-normVisual Computer, Vol. 29, No. 5, pp. 421-431, May 2013.

2012

[1] Hong Cheng, Zicheng Liu, Yang Zhao, Guo Ye, Xinghai Sun, Real World Activity Summary for Senior Home MonitoringMultimedia Tools and Applications, Springer, July  2012.

[2] Hong Cheng, Zicheng Liu, Lei Hou, Jie Yang, Sparsity Induced Similarity and Its Applications,  Circuits and Systems for Video Technology, IEEE Transactions on, Vol. 26, No. 4, pp. 613-626, September, 2012.

[3] Hong Cheng, Zicheng. Liu, Jie Yang. Multi-support-region image descriptors and its application to street landmark localizationMachine Vision and Applications, Vol. 23, No. 4, pp. 805-819, July 2012.

[4] Hong Cheng, Rongchao Yu, Zicheng Liu, Yiguang Liu. A Pyramid Nearest Neighbor Search Kernel for Object Categorization, In IEEE International Conference on Pattern Recognition, 2012.[slides

[5] Ling Wang and Hong Cheng, Robust Sparse PCA via Weighted Elastic Net, In Chinese Conference on Pattern Recognition ,July 2012.

[6] Yiguang Liu, Bingbing Liu, Yifei Pu, Xiaohui Chen, Hong Cheng. Low-rank Matrix Decomposition in L1-norm by Dynamic SystemsImage and Vision Computing, Vol. 30, No. 11, pp. 915-921, July 2012.

[7] Yang Zhao,Zicheng Liu ,Hong Cheng,.Lu Yang. Combing RGB and Depth Map Features for human activity recognitionSignal & Information Processing Association Annual Summit and Conference , 3-6 Dec. 2012

2011

[1] Yali Zheng, et al., Structure from motion blur in low light, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

[2] Hong Cheng, Zicheng Liu, Yang Zhao, Guo Ye. Real World Activity Summary for Senior Home Monitoring. In IEEE International Conference on Multimedia and Expo (ICME), 2011.

[3] 叶果,程洪,赵洋,电影中吸烟活动识别 ,智能系统学报,2011年05期,第六卷,440-444页。

2010

[1] Hong Cheng, Zicheng Liu, Jie Yang. Learning Feature Transforms for Object Detection from Panoramic Images, In IEEE International Conference on Multimedia and Expo (ICME), 2010.

2009

[1] Hong Cheng, Zicheng Liu, Jie Yang. Sparsity Induced Similarity Measure for Label Propagation, In IEEE International Conference on Computer Vision (ICCV), 2009(Oral Paper, 3% accept rate).

[2] Lei Yang, Nanning Zheng, Jie Yang, Mei Chen, Hong Cheng. A Biased Sampling Strategy for Object Categorization, In IEEE International Conference on Computer Vision (ICCV), 2009 (Poster paper, about 20% accept rate).

2008

[1] Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang. Deformable Local Image Descriptors, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

2007

[1] Hong Cheng, Nanning Zheng, Xuetao Zhang, Junjie Qin, Huub van de Wetering. Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems: Frameworks and Algorithms. In IEEE Transaction on Intelligent Transportation Systems Vol. 8, No. 1, pp. 157-167, March 2007,.

[2] Zhaohui Wu, Qing Wu, Hong Cheng, Gang Pan, Minde Zhao, Jie Sun. ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space. In IEEE Transaction on Intelligent Transportation Systems, Vol. 8, No. 1, pp. 121-132, March 2007.

[3] Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang. Enhancing a Driver's Situation Awareness using a Global View Map. In International Conference Multimedia Explo 2007: 1019-1022.

[4] Lin Ma, Nanning Zheng, Fan Mu, Yi Dong, Hong Cheng, Yong-Jian He. Geometric and Statistic Constraints in Dynamic Re-orienation of On-board Camera: Inherent Vanishing Points. In IEEE Intelligent Vehicles Symposium, June 2007.

2006

[1] Hong Cheng, Nanning Zheng, Chong Sun, and Huub van de Wetering. Boosted Crucial Gabor Features Applied to Vehicle Detection, In International Conference on Pattern Recognition, August 20-24, 2006, Hong Kong.

[2] Hong Cheng, Nanning Zheng, Chong Sun, and Huub van de Wetering. Vanishing Point and Gabor Feature based Multi-resolution On-Road Vehicle Detection, In International Conference on Neural Networks, May 29-31, 2006}, May 28-31,2006.

教材和专著:

《数字信号处理》

郑南宁,程洪

清华大学出版社

2007年9月

Autonomous Intelligent Vehicles

程洪

德国Springer出版社,

2011年12月(英文)

Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications

程洪

德国Springer出版社,

2015年7月(英文)