Rijun Liao (廖日军) [Google Scholar] Ph.D. Student in Computer Science Electrical Engineering UMKC Email: rlyfv@mail.umkc.edu; rijun.liao@gmail.com Office: F.H. 262 (last updated: June. 2022) [Publications] [Patents] [Reviewer] [Education] [Experience] [Awards]

I am a Ph.D. student in the Computer and Electrical Engineering department at University of Missouri - Kansas City. I received my master and bachelor degree from Shenzhen University in 2015 and 2018, respectively. I am familiar with human pose and human activity analysis. My main research interests include Deep Learning, Machine Learning, Computer Vision, Image Processing, Biometrics, Gait Recognition and Face Detection.

About
* 6+ years of both theoretical and practical Machine Learning, Computer Vision and Image Processing R&D Experience
* 30+ academic and industrial machine learning projects, like object detection, identification, recognition, tracking, human body segmentation, human parsing, pose estimation, behavior prediction
* 10+ publications with 560+ citations in Google Scholar
* 4+ working experiences in AI company

Publications

A Model-based Gait Recognition Method with Body Pose and Human Prior Knowledge Rijun Liao, Shiqi Yu, Weizhi An, Yongzhen Huang Pattern Recognition, 98, 107069, 2020. [SCI, JCR一区, 中科院一区top期刊, IF: 7.74/2020, citations: 152]. [doi] [pdf]

GaitGANv2: Invariant Gait Feature Extraction Using Generative Adversarial Networks Shiqi Yu (导师), Rijun Liao, Weizhi An, Haifeng Chen, Edel B. Garcia, Yongzhen Huang and Norman Poh Pattern Recognition, vol. 87, pp. 179-189, 2019. . [SCI, JCR一区, 中科院一区top期刊, IF: 7.196/2019, merge citations: 166]. [doi] [pdf]

PoseMapGait: A model-based Gait Recognition Method with Pose Estimation Maps and Graph Convolutional Networks Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, and George York Neurocomputing, vol. 501, pp. 514-528, 2022. [SCI, JCR二区, 中科院二区top期刊, IF: 5.779/2021]. [dio] [pdf]

A Novel View Synthesis Approach based on View Space Covering for Gait Recognition Rijun Liao, Weizhi An, Zhu Li, and Shuvra S. Bhattacharyya Neurocomputing, vol. 453, pp. 13--25, 2021. [SCI, JCR二区, 中科院二区top期刊, IF: 5.719/2020] [dio] [pdf]

Performance Evaluation of Model-based Gait on Multi-view Very Large Population Database with Pose Sequences Weizhi An, Shiqi Yu, Yasushi Makihara, Xinhui Wu, Chi Xu, Rijun Liao, Yang Yu, and Yasushi Yagi IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020, 2(4): 421-430. [pdf]

Discussions on applications of Arnold transformation in binary image scrambling Rijun Liao, Xiongjun Li, Jianjie Xu, Jinlong Li, Jianbiao Xian and Xiaoyu He Journal of Shenzhen University Science and Engineering, vol. 32, no. 4, pp. 428-433, 2015. [doi] [pdf]

Quasi-symmetry and the half-cycle phenomenon in scrambling degrees for images with pixel locations scrambled by Arnold transformation Xiongjun Li (Supervisor), Rijun Liao, Jinlong Li, Jianbiao Xian, Jianjie Xu, Pei Huang and Xiaoyu He Journal of Shenzhen University Science and Engineering, vol. 32, no. 6, pp. 551-562, 2015. [doi] [pdf]

Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN Rijun Liao, Weizhi An, Shiqi Yu, Zhu Li, and Yongzhen Huang 2020 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2020: 1-9. [pdf]

Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms Lei Pan, Rijun Liao, Zhu Li, and Shuvra S. Bhattacharyya Dynamic Data Driven Applications Systems (DDDAS), 2020. [pdf]

Improving Gait Recognition in View Invariance by 3D Pose Estimation Weizhi An, Rijun Liao, Shiqi Yu and Yongzhen Huang Chinese Conference on Biometric Recognition, pp. 137-147, 2018. [EI]. [doi] [pdf]

Pose-Based Temporal-Spatial Network (PTSN) for Gait Recognition with Carrying and Clothing Variations Rijun Liao, Chunshui Cao, Edel B. Garcia, Shiqi Yu and Yongzhen Huang Chinese Conference on Biometric Recognition, pp. 474-483, 2017. [EI]. [doi] [pdf]

Method for detecting human face, device, terminal and medium based on convolutional neural networks Rijun Liao, Lingjun Deng, Shiqi Yu Chinese invention patent, No. CN108062521A, 2017. [link] [pdf]

Low-density high-coding-capcity lattice two-dimensional code integrated with chaos encryption technology Xiongjun Li (my supervisor), Rijun Liao, Jianjie Xu, et al. Chinese invention patent, No. CN105095935A, 2015. [link] [pdf]

• IEEE Transactions on Human-Machine Systems
• IEEE Transactions on Image Processing

• 2020 - Present: Ph.D in Dept. Computer Science & Electrical Engineering, at University of Missouri-Kansas City, USA.
• 2015 - 2018: M.E. in Computer Science and Software Engineering, Shenzhen University, China
• 2012 - 2015: B.S. in Physics Science and Technology, Shenzhen University, Shenzhen University, China (Graduated one year in advance)
• 2015/9 - 2015/11, Machine Leaning Online Course, authorized by Stanford University, offered through Coursera

• 2021/6 – 2022/3: Machine Learning Engineer -- Pedestrian intention and trajectory prediction, InnoPeak Technology, WA, USA.
• 2018/7 – 2019/8: Research Assistant -- Gait Recognition Research, Shenzhen University, Shenzhen, China.
• 2017/8 - 2017/11. Engineer -- Clothes Attributes Analysis, VIPSHOP Company , Guangzhou, China.
• 2017/3 - 2017/7. Engineer -- Gait Recognition Research, Watrix Company , Beijing, China.

• The 14th Challenge Cup for the National Aviation Industry National Students Extracurricular Academic & Scientific Technology Competition, National Second Prize, 2015.
• The 13th Challenge Cup for Guangdong Students Extracurricular Academic & Scientific Technology Competition, Provincial Grand Prize, 2015
• The 9th National Information Technology Application Competition, "STC" SCM system design First Prize, 2014.
• Outstanding Graduate, Shenzhen University, 2017.
• Excelling Student of Academic in Shenzhen University, Top Prize, 2014.
• Excelling Student of Academic in Shenzhen University, Top Prize, 2013.