PING LIU

Cited by

	All	Since 2016
Citations	1501	1337
h-index	15	12
i10-index	18	15

560

280

140

420

20132014201520162017201820192020202117 45 77 100 150 151 273 554 107

Co-authors

Yan TongAssociate Professor of Computer Science and Engineering, University of South CarolinaVerified email at mailbox.sc.edu
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
Zibo Meng (孟子博)Innopeak Technology Inc.; University of South CarolinaVerified email at innopeaktech.com
Yawei LuoHuazhong University of Science and Technology; Zhejiang UniversityVerified email at hust.edu.cn
Joey Tianyi ZhouInstitute of High Performance ComputingVerified email at ihpc.a-star.edu.sg
Linchao ZhuUniversity of Technology SydneyVerified email at uts.edu.au
Tao GuanHuazhong University Of Science And TechnologyVerified email at hust.edu.cn
Ivor W. TsangResearch Director & Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Yu WuUniversity of Technology SydneyVerified email at student.uts.edu.au
Hanwang Zhang (张含望）Assistant Professor, SCSE, Nanyang Technological UniversityVerified email at ntu.edu.sg
Guanghan NingJD DigitsVerified email at jd.com
Min ChenAssociate Professor, Computing and Software Systems, School of STEM, University of WashingtonVerified email at uw.edu
Jian DongNational University of SingaporeVerified email at nus.edu.sg
Shuicheng Yan, Fellow of ACM, SAEn...Director@Sea AI Labs (SAIL); Group Chief Scientist@Sea; NUSVerified email at sea.com
Zongxin YangPh.D student, University of Technology SydneyVerified email at student.uts.edu.au
Mingliang Xu (徐明亮)Professor of Computer Science，Zhengzhou UniversityVerified email at zzu.edu.cn
Weihong DengProfessor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Chenyou FanThe Chinese University of Hong Kong (Shenzhen), Indiana UniversityVerified email at indiana.edu
Xin YuPhD, The University of Technology Sydney (UTS)Verified email at uts.edu.au
Yuewei LinBrookhaven National LaboratoryVerified email at bnl.gov

PING LIU

Institute of High Performance Computing; University of Technology Sydney

Verified email at uts.edu.au - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Facial Expression Recognition via a Boosted Deep Belief Network P Liu, S Han, Z Meng, Y Tong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	521	2014
Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration Y He, P Liu, Z Wang, Y Yang IEEE Conference on Computer Vision and Pattern Recognition, 2019	256*	2019
Identity-Aware Convolutional Neural Network for Facial Expression Recognition Zibo Meng, Ping Liu, Jie Cai, Shizhong Han, Yan Tong IEEE International Conference on Automatic Face and Gesture Recognition, 2017	150*	2017
Bag-of-words representation for biomedical time series classification J Wang, P Liu, MFH She, S Nahavandi, A Kouzani Biomedical Signal Processing and Control 8 (6), 634-644, 2013	142	2013
Feature disentangling machine-a novel approach of feature selection and disentangling in facial expression analysis P Liu, JT Zhou, IWH Tsang, Z Meng, S Han, Y Tong European Conference on Computer Vision, 151-166, 2014	62	2014
Pose-Guided Feature Alignment for Occluded Person Re-Identification J Miao, Y Wu, P Liu, Y Ding, Y Yang IEEE International Conference on Computer Vision, 2019	57	2019
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation Y Luo, P Liu, T Guan, J Yu, Y Yang IEEE International Conference on Computer Vision, 2019	41	2019
Entangled Transformer for Image Captioning G Li, L Zhu, P Liu, Y Yang IEEE International Conference on Computer Vision, 2019	40	2019
Human action recognition based on pyramid histogram of oriented gradients J Wang, P Liu, MFH She, A Kouzani, S Nahavandi 2011 IEEE International Conference on Systems, Man, and Cybernetics, 2449-2454, 2011	30	2011
Human action recognition based on 3D SIFT and LDA model P Liu, J Wang, M She, H Liu 2011 IEEE Workshop on Robotic Intelligence In Informationally Structured …, 2011	23	2011
Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model J Wang, P Liu, MFH She, S Nahavandi, A Kouzani Computer methods and programs in biomedicine 111 (3), 629-641, 2013	22	2013
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration Y He, Y Ding, P Liu, L Zhu, H Zhang, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	17	2020
Sparse representation of local spatial-temporal features with dimensionality reduction for motion recognition J Wang, X Sun, P Liu, MFH She, L Kong Neurocomputing 115, 150-160, 2013	16	2013
Improving facial expression analysis using histograms of log-transformed nonnegative sparse representation with a spatial pyramid structure P Liu, S Han, Y Tong 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013	16	2013
Supervised learning probabilistic latent semantic analysis for human motion analysis J Wang, P Liu, MFH She, A Kouzani, S Nahavandi Neurocomputing 100, 134-143, 2013	15	2013
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild J Cai, Z Meng, AS KHAN, Z Li, J O'Reilly, S Han, P Liu, M Chen, Y Tong IEEE 2nd International Conference on Multimedia Information Processing and …, 2019	13	2019
Facial grid transformation: A novel face registration approach for improving facial action unit recognition S Han, Z Meng, P Liu, Y Tong Image Processing (ICIP), 2014 IEEE International Conference on, 1415--1419, 2014	11	2014
Very Long Natural Scenery Image Prediction by Outpainting Z Yang, J Dong, P Liu, Y Yang, S Yan IEEE International Conference on Computer Vision, 2019	10	2019
Improving speech related facial action unit recognition by audiovisual information fusion Z Meng, S Han, P Liu, Y Tong IEEE transactions on cybernetics 49 (9), 3293-3306, 2018	9	2018
Human action categorization using conditional random field J Wang, P Liu, M She, H Liu 2011 IEEE Workshop on Robotic Intelligence In Informationally Structured …, 2011	9	2011

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