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photo-ping-luo
Professor LUO, Ping
Associate Professor (by courtesy) HKU Musketeers Foundation Institute of Data Science
Associate Professor Department of Computer Science The University of Hong Kong
 pluo@cs.hku.hk  (852) 2859 2190
About Me
Professor Ping Luo’s researches aim at 1) developing Differentiable/ Meta/ Reinforcement Learning algorithms that endow machines and devices to solve complex tasks with larger autonomy, 2) understanding foundations of deep learning algorithms, and 3) enabling applications in Computer Vision and Artificial Intelligence. Professor Ping Luo received his PhD degree in 2014 in Information Engineering, the Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaoou Tang (founder of SenseTime Group Ltd.) and Prof. Xiaogang Wang. He was a Research Director in SenseTime Research. He has published 70+ peer-reviewed articles (including 20 first author papers) in top-tier conferences and journals such as TPAMI, IJCV, ICML, ICLR, NeurIPS and CVPR. He has won a number of competitions and awards such as the first runner up in 2014 ImageNet ILSVRC Challenge, the first place in 2017 DAVIS Challenge on Video Object Segmentation, Gold medal in 2017 Youtube‐8M Video Classification Challenge, the first place in 2018 Drivable Area Segmentation Challenge for Autonomous Driving, 2011 HK PhD Fellow Award, and 2013 Microsoft Research Fellow Award (ten PhDs in Asia).
Selected Publications
  1. P. Luo, J. Ren, Z. Peng, R. Zhang, J. Li, “Differentiable Switchable Normalization for learning-to-normalize deep representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 
  2. Z. Liu, X. Li, P. Luo*, C. C. Loy, X. Tang, “Deep Learning Markov Random Field for Semantic Segmentation ”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 (*corresponding author)
  3. Z. Zhang, P. Luo*, C. C. Loy, and X. Tang, “Learning Deep Representation for Face Alignment with Auxiliary Attributes”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), No. 05 – May (vol. 38), 2016 (*corresponding author)
  4. S. Yang, P. Luo, C. C. Loy, and X. Tang, “Faceness-Net: Face Detection through Deep Facial Part Responses”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
  5. Z. Zhang, P. Luo, C. C. Loy, and X. Tang, “From Facial Expression Recognition to Interpersonal Relation Prediction”, International Journal of Computer Vision (IJCV), 2018
  6. W. Ouyang, X. Zeng, X. Wang, S. Qiu, P. Luo et al., “DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), No. 07 – July (vol. 39), 2017
Research Interests
Computer Vision, Machine Learning, Deep Learning