Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li, Multi-Scale Bidirectional FCN for Object Skeleton Extraction, AAAI, 2018.
 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.
 Jingren Tang, Hong Cheng, Yang Zhao, Hongliang Guo. Structured Dynamic Time Warping for Continuous Hand Trajectory Gesture Recognition, Pattern Recognition, 2018.
 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).
 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).
 Fan Yang,Xin Li,Hong Cheng,Jianping Li,Leting Chen.Object-Aware Dense Semantic Correspondence,IEEE CVPR,2017 (accepted).
 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).
 Hong Cheng,Yaqi Liu,Wenhao Fu,Yanli Ji,Lu Yang,Yang Zhao,Jie Yang,Gazing Point Dependent Eye Gaze Estimation,Pattern Recognition,2017.(accepted).
 Xin Li, Fan Yang, Hong Cheng, Junyu Chen, Yuxiao Guo, Leiting Chen, Multi-Scale Cascade Network for Salient Object Detection, ACM MM, 2017.
 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.
 Rui Huang, Hong Cheng, Hongliang Guo, Xichuan Lin, Jianwei Zhang.Hierarchical learning control with physical human-exoskeleton interaction, Information Sciences,2017.
 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.
 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.
 Jianmei Su, Hong Cheng, Lu Yang, Ao Luo, Bayesian View Synthesis For Video Stitching, In ICME Workshop, 2016.
 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.
 Jing Qiu, Fukui Wang, Long Gao, Hong Cheng, Zhan Li, Intention Recognition of Human Movement Based on EEG, Chinese Control Conference, 2016.
 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.
 Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li, Sparse Bayesian learning with a Gaussian hierarchical model, Signal Processing, 2016(Accepted).
 Ratha Pech, Dong Hao, Liming Pan, Hong Cheng, Tao Zhou, Link Prediction via Matrix Completion, Social and Information Networks, arXiv:1606.06812, 2016.
 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.
 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。
 Dian Huang, Hong Cheng and Lu Yang, Interactive Banknotes Recognition For The Visual Impaired With Wearable Assistive Devices, Chinese Conference on Pattern Recognition, 2016.
 Jing Li, Hong Cheng, Runzhou Wang and Lu Yang, Real-time Object Tracking using Dynamic Measurement Matrix, Chinese Conference on Pattern Recognition, 2016.
 Kunxia Huang, Chenguang Yang, Hong Cheng, Object Property Identification Using Uncertain Robot Manipulator, Chinese Conference on Pattern Recognition, 2016.
 Abusabah I. A. Ahmed, Hong Cheng, Xichuan Lin, Motion Planing and Control of Maneuverable Human-Powered Exoskeleton Systems, in IROS Workshop, 2016.
 Yuansheng Luo, Hong Cheng and Lu Yang, Size-Invariant Fully Convolutional Neural Network for Vessel Segmentation of Digital Retinal Images, APSIPA, 2016.
 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
 Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz,Global and Local Structure Preserving Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection, Pattern Recognition,2016,53:87-101
 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.
 Rui Huang, Hong Cheng, Yi Chen, Xichuan Lin, Jing Qiu, Optimisation of Reference Gait Trajectory of a Lower Limb Exoskeleton, International Journal of Social Robotics, 2016,8(2):223-235
 Toan Huu Tran, Hong Cheng, Rui Huang, Xichuan Lin, Qiming Chen, Evaluation of a fuzzy-based impedance control strategy on a powered lower exoskeleton, International Journal of Social Robotics, 2016,8(1):103-123
 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
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.
 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.
 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.
 Yang Zhao, Hong Cheng, Lu Yang, 3D Sparse Quantization for Feature Learning In Action Recognition, China SIP, 2015.
 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
 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)
 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
 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)
 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)
 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
 Chengyu Peng, Hong Cheng, Manchor Ko, An Efficient Two-Stage Sparse Representation Method, International Journal of Pattern Recognition and Artificial Intelligence, 2015
 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.
Hong Cheng, Rongchao Yu, Zicheng Liu, Lu Yang, Xuewen Chen, Kernelized Pyramid Nearest Neighbor Search for Object Categorization, Machine Vision and Applications, February 2014.
 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.
 Hong Cheng, Jun Luo, Xuewen Chen, Windowed Dynamic Time Warping for 3D Hand Trajectory Gesture Recognition, ICME 2014.
Lu Yang, Hong Cheng, Jianan Su, Xuewen Chen, Pixel-to-Model Background Modeling in Crowded Scenes, ICME 2014.
Hong Cheng, Haoyang Zhuang, Yanli Ji, Guo Ye, Yang Zhao, 3D Medial Axis Distance for Hand Detection, ICME Workshop, 2014.
Yanli Ji, Guo Ye, Hong Cheng, Interactive Body Part Contrast Mining for Human Interaction Recognition, ICME Workshop, 2014.
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.
Rui Huang, Hong Cheng, Hangming Zheng, Qiming Chen and Xichuan Lin, Study on Master-Slave Control Strategy of Lower Extremity Exoskeleton Robot, WCICA 2014.
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.
 Y. Wang, H. Cheng, Y. Zheng, L. Yang, Face recognition in the wild by mining frequent feature itemset, CCPR2014.
 Wenrong Zeng, Xuewen Chen, Hong Cheng, Pseudo Labels for Imbalanced Multi-Label Learning, DSAA2014.
 Melih S. Aslan, Xuewen Chen, Hong Cheng, Learning Sparse and Scale-free Networks, DSAA2014.
 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.
 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]
 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.
 Wenrong Zeng, Xue-Wen Chen, Hong Cheng and Jing Hua, Multi-Space Learning for Image Classification Using AdaBoost and Markov Random Fields, Solving Comeplex Machine Learning Problems with Ensemble Methods Workshop, 2013.
 Hong Cheng, Zicheng Liu, Lu Yang, Xuewen Chen, Sparse Representation and Learning in Visual Recognition: Theory and Applications, Signal Processing, Elsevier, Vol. 93, No. 6, pp. 1408-1425, June 2013.
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-norm, Visual Computer, Vol. 29, No. 5, pp. 421-431, May 2013.
 Hong Cheng, Zicheng Liu, Yang Zhao, Guo Ye, Xinghai Sun, Real World Activity Summary for Senior Home Monitoring, Multimedia Tools and Applications, Springer, July 2012.
 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.
 Hong Cheng, Zicheng. Liu, Jie Yang. Multi-support-region image descriptors and its application to street landmark localization, Machine Vision and Applications, Vol. 23, No. 4, pp. 805-819, July 2012.
 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]
 Ling Wang and Hong Cheng, Robust Sparse PCA via Weighted Elastic Net, In Chinese Conference on Pattern Recognition ,July 2012.
 Yiguang Liu, Bingbing Liu, Yifei Pu, Xiaohui Chen, Hong Cheng. Low-rank Matrix Decomposition in L1-norm by Dynamic Systems, Image and Vision Computing, Vol. 30, No. 11, pp. 915-921, July 2012.
 Yang Zhao,Zicheng Liu ,Hong Cheng,.Lu Yang. Combing RGB and Depth Map Features for human activity recognition, Signal & Information Processing Association Annual Summit and Conference , 3-6 Dec. 2012
 Yali Zheng, et al., Structure from motion blur in low light, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
 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.
 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。
 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.
 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).
 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).
 Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang. A Deformable Local Image Descriptors, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
 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,.
 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.
 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.
 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.
 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.
 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.