Conan

Renjie(Conan) Liao

37 XueYuan Rd, Beihang University (BUAA), Beijing, P.R.China, 100191
lrjconan at gmail dot com

 

EDUCATION

Beihang University Sep.2011 - Present
M.S. (Exam-free entrance) in School of Automation Science and Electrical Engineering

Beihang University Sep.2007 - Jul.2011
B.E. in School of Automation Science and Electrical Engineering

RESEARCH INTERESTS

Machine Learning, Computer Vision, Statistics, Optimization

RESEARCH EXPERIENCE

2011.5—2011.11 Research Intern
Visual Computing Group, Microsoft Research Asia, Beijing, China
Advisor: Fang Wen(Researcher), Jian Sun(Senior Researcher)
Topic: Image Retrieval
  • Devise and implement new image attributes for Bing image search engine
  • Research towards building middle level features for image understanding through machine learning techniques


  • 2010.10—2011.5 Research Intern
    Intelligent Media Research Division, Sony China Research Laboratory, Beijing, China
    Advisor: Dr. Yuyu Liu(Assistant Manager)
    Topic: Image Super Resolution
  • Surveyed "Reconstruction based Super Resolution" and reproduced the method of P. Milanfer which is based on kernel regression
  • Surveyed "Learning based Super Resolution" and reproduced the method of T.Freeman which is based on Markov Random Fields
  • Proposed a new learning-based super resolution algorithm using local metric learning


  • PUBLICATIONS

    Tao Wan, Renjie Liao, Zengchang Qin, "A Robust Feature Selection Approach Using Low Rank Matrices For Breast Tumors in Ultrasound Images", International Conference on Image Processing (ICIP) 2011 (pdf)

    Renjie Liao, Tao Wan, Zengchang Qin, "Classification of Benign and Malignant Breast Tumors in Ultrasound Images Based on Multiple Sonographic and Textural Features", International Conference on Intelligent Human Machine Systems and Cybernetics (IHMSC) 2011 (pdf)

    Yu Du, Haibin Duan, Renjie Liao, Xihua Li, "Improved Quantum Particle Swarm Optimization by Bloch Sphere", International Conference on Swarm Intelligence (ICSI) 2010 (pdf)

    Renjie Liao, Xueyao Wang, Lun Li, Zengchang Qin, "A Novel Serial Crime Prediction Model Based on Bayesian Learning Theory", International Conference on Machine Learning and Cybernetics (ICMLC) 2010 (pdf)

    Renjie Liao, Xueyao Wang, Zengchang Qin, "A Novel Quantum-inspired Genetic Algorithm with Expanded Solution Space", International Conference on Intelligent Human Machine Systems and Cybernetics (IHMSC) 2010 (pdf)


    PROJECTS

  • Image Supper-Resolution

  • High Resolution
    Learning based image super-resolution using local metric learning.

  • Ultrasound Image Processing

  • Ultrasound Image
    Feature selection and classification of Benign and Malignant Breast Tumors in Ultrasound Images.

  • Gesture Recognition

  • Snapshot
    Gesture recognition system based on nerual network.

    AWARDS

    • Honorable Mention(first 40% global), Mathematical Contest In Modeling(MCM), USA 2011
    • Honorable Mention(first 40% global), Mathematical Contest In Modeling(MCM), USA 2010
    • 3rd prize(20/10000+), China finals in Software Design Competition of Imagine Cup, Microsoft 2010
    • 1st prize(10/3000+), The 20th Fengru Cup, Beihang University 2010 (Author with 1st prize has exam-free graduate entrance for Beihang University)
    • Subject Contest Scholarship, Beihang University 2010
    • Science and Technology Contest Scholarship, Beihang University 2010
    • National 2nd Prize(820/12272), China Undergraduate Mathematical Contest in Modeling(CUMCM) 2009

    ACADEMIC ACTIVITIES

    • Attend "2011 The Third Pao-Lu Hsu Conference: Statistical Machine Learning and Cross-media Retrieval" in Hangzhou, China, 2011.08.04-2011.08.05
    • Attend "Machine Learning Summer School 2011" in Singapore (Funded by the scholarship of National University of Singapore), 2011.06.13-2011.06.17

    PATENTS

    NATIONAL COMPUTER SOFTWARE COPYRIGHT REGISTRATION
    Yu Du, Haibin Duan, Xihua Li, Renjie Liao
    Bloch-coded Quantum Particle Swarm Optimized PID Control System V1.0
    Granted No.2010SR020454 2010
    Copyleft © 2011

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