Ping LIU

Dr. Ping LIU is a research scientist, II, at Institute of High Performance Computing (IHPC), Agency for Science, Technology, and Research (A*STAR), Singapore. He works closely with Dr. Joey Tianyi Zhou, Assistant Professor. Yunchao Wei, and Professor. Ivor Tsang. Before joining IHPC, he was a research fellow and a contract lecturer at University o Technology Sydney (UTS), under the supervision from Professor. Yi Yang. He received his Ph.D degree under the supervision from Associate Professor. Yan Tong, Department of Computer Science and Engineering, University of South Carolina (SC). Before joining SC, he was a research assistant in the Intelligent Systems and Biomedical Robotics Group (ISBRG), University of Portsmouth, UK. He got his Master Degree from Huazhong University of Science and Technology (HUST), WuHan, China; Bachelor Degree (EE) from Wuhan University of Technology (WUT), WuHan, China.

Education: Ph.D. (CSE, SC) M.Eng. (HUST) B.Eng. (EE, WUT)

Email: pino.pingliu at {gmail.com}

RESEARCH PHILOSOPHY

    • "Theory without Practice is empty; but Practice without Theory is blind" - Immanuel Kant

INTEREST

Machine Learning, Computer Vision, Deep Learning:

  • face related problems, unsupervised domain adaptation, model compression

PUBLICATIONS

  • Ping Liu, Yuewei Lin, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang, Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild, arXiv, 2020

  • Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang, Omni-supervised Facial Expression Recognition: A Simple Baseline, arXiv, 2020

  • Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu, VividGAN: Face Hallucination with Finishing Touches, arXiv, 2020

  • Bingwen Hu, Zhedong Zheng, Ping Liu, Wankou Yang, Mingwu Ren, Unsupervised Eyeglasses Removal in the Wild, IEEE Transactions on Cybernetics, 2020

  • Yawei Luo, Rongrong Ji, Tao Guan, Junqing Yu, Ping Liu, Yi Yang, Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning, Pattern Recognition, 2020

  • Peike Li, Pingbo Pan, Ping Liu, Yi Yang, Multi-Granularity Temporal Modeling for Video-based Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology, 2020

  • Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang, Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation, Conference on Neural Information Processing Systems (NeurIPS), 2020

  • Chenyou Fan, Ping Liu, Federated Generative Adversarial Learning, The Third Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2020

  • Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang, Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

  • Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang, Adversarial Localized Energy Networks for Structured Prediction, AAAI Conference on Artificial Intelligence (AAAI), 2020

  • Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang, Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation, International Conference on Computer Vision(ICCV), 2019

  • Guang Li, Linchao Zhu, Ping Liu, Yi Yang, Improving the Image Captioning Transformer with Entangled Attention, International Conference on Computer Vision(ICCV), 2019

  • Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang, Pose-Guided Feature Alignment for Occluded Person Re-identification, International Conference on Computer Vision(ICCV), 2019

  • Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan, Very Long Image Prediction by Outpainting, International Conference on Computer Vision(ICCV), 2019

  • Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang, Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

  • Jie Cai, Zibo Meng, Ahmed-Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Ping Liu, Min Chen, Yan Tong, Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild, IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (MIPR), 2019.

  • Zibo Meng, Shizhong Han, Ping Liu, Yan Tong, Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion, IEEE Transactions on Cybernetics, 2018.

  • Guanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang, A Top-down Approach to Articulated Human Pose Estimation and Tracking, European Conference on Computer Vision (ECCV) Workshop, PoseTrack Challenge, 2018

  • Zibo Meng*, Ping Liu*, Jie Cai, Shizhong Han, Yan Tong, Identity-Aware Convolutional Neural Network for Facial Expression Recognition, IEEE International Conference on Automatic Face and Gesture Recognition(FG), 2017.

  • Improving Feature Learning, Feature Selection, and Classification in Facial Expression Analysis, Ph.D Dissertation, USA, 2015

  • Ping Liu, Joey Tianyi Zhou, Ivor Tsang, Zibo Meng, Shizhong Han, Yan Tong, Feature Disentangling Machine – A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis, European Conference on Computer Vision (ECCV), 2014

  • Ping Liu*, Shizhong Han*, Zibo Meng, Yan Tong, Facial Expression Recognition via a Boosted Deep Belief Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

  • Shizhong Han, Zibo Meng, Ping Liu, Yan Tong, Facial Grid Transformation: A Novel Face Registration Approach for Improving Facial Action Unit Recognition, IEEE International Conference on Image Processing (ICIP), 2014

  • Ping Liu, Shizhong Han, Yan Tong, Improving Facial Expression Analysis using Histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013

  • Ping Liu, Jin Wang, Mary F.H. She, Honghai Liu, Human Action Recognition based on 3D SIFT and LDA model, IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), 2011

* means equal contribution or corresponding author.

SERVICES

  • Reviewer for IEEE Conference on Computer Vision and Pattern Recognition(CVPR)2019-2021

  • Reviewer for International Conference on Computer Vision(ICCV)2017-2019

  • Reviewer for European Conference on Computer Vision(ECCV)2020

  • Reviewer for International Conference on Machine Learning(ICML)2018-2020

  • Reviewer for Neural Information Processing Systems(NeurIPS)2016-2019

  • Reviewer for AAAI Conference on Artificial Intelligence(AAAI)2017-2018, 2020-2021

  • Reviewer for International Joint Conferences on Artificial Intelligence(IJCAI)2021

  • Reviewer for International Conference on Learning Representations(ICLR)2018,2020-2021

  • Reviewer for Artificial Intelligence and Statistics(AISTAS)2017-2021

  • Reviewer for IEEE International Conference on Multimedia and Expo(ICME)2018-2020

  • Reviewer for IEEE International Conference on Automatic Face and Gesture Recognition(FG)2020

  • Reviewer for Winter Conference on Applications of Computer Vision(WACV)2021

  • Reviewer for Asian Conference on Computer Vision(ACCV)2020

  • Reviewer for Asian Conference on Machine Learning(ACML)2016, 2019

  • Reviewer for International Conference of Pattern Recognition(ICPR)2016

  • Reviewer for International Journal of Computer Vision (IJCV)

  • Reviewer for IEEE Transactions on Image Processing (TIP)

  • Reviewer for IEEE Transactions on Multimedia

  • Reviewer for IEEE Transactions on Circuits and Systems for Video Technology

  • Reviewer for IEEE Transactions on Neural Networks and Learning Systems

  • Reviewer for IEEE Transactions on Affective Computing

  • Reviewer for IEEE Transactions on Cybernetics

  • Reviewer for IEEE Transactions on Industrial Electronics

  • Reviewer for Pattern Recognition

  • Reviewer for Pattern Recognition Letters

  • Reviewer for Knowledge-Based Systems

  • Reviewer for Journal of Image and Graphics (Chinese)

  • PC member for EAI Mobimedia 2020, AAAI 2017

  • Senior PC member for AAAI 2021, IJCAI 2021

  • NeurIPS 2019 Top 50% Highest-Scoring Reviewers

Hobby

  • Video games (Halo 2/3/4/5/Reach, Call of Duty...)

  • Science fictions (Three Body, and etc.)