Luanzheng Guo/Anzheng Guolu

I am a third-year Ph.D. student in Computer Science at UC Merced where I am advised by Professor Dong Li. Currently my research interests lie in resilience problems on large-scale parallel systems. Previously I was working on Computer Vision topics with machine learning methods with Professor Jun Chu and Professor Chuhong Pan and Professor Shiming Xiang.


  • 04/2017

    Anzheng will start an intern at LLNL in May

  • 04/2017

    Anzheng received the Bobcat Fellowship from EECS!

  • 03/2017

    Anzheng received a traveling scholarship to join the ACM 50th Celebration of the Turing Award held at Westin St. Francis Hotel in San Francisco in June!

  • 11/2016

    Anzheng's poster is nominated as the Best Poster Finalist in SC16!

  • 10/2016

    Anzheng presents his work on the National Labs' Day held in UC Merced


  • 2015 - 2017

    Bobcat Fellowship at UC Merced

  • 2011 - 2014

    Outstanding Researcher Award at Institute of Computer Vision for master students

  • 2007 - 2010

    Superior Student Award in Nanchang Hangkong University

  • 2007 - 2009

    Award for Outstanding Student Leader of the University


  • Understanding Ineffectiveness of Application-Level Fault Injection. Best Poster Finalist

    Luanzheng Guo, Jing Liang, and Dong Li.

    Poster in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC 16’), 11/15/2016.

    Pdf Bibtex
    @inproceedings { LGuo : fault_injection_16, author = "Luanzheng Guo and Jing Liang and Dong Li", title = "{Understanding Ineffectiveness of Application-Level Fault Injection}", booktitle = "{ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16)}", month = "Nov", year = "2016", }
  • Indoor Frame Recovering Via Line Segments Refinement and Voting.

    Jun Chu, Anzheng GuoLu, Lingfeng Wang, Chunhong Pan, and Shiming Xiang.

    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 26/05/2013.

    Pdf Bibtex
    @inproceedings { JChu : frame_recovery_13, author = "Jun Chu and Anzheng GuoLu and Lu Wang", title = "{Indoor Frame Recovering Via Line Segments Refinement and Voting}", booktitle = "{IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2013)}", month = "May", year = "2013", }
    Code-link1 Code-link2
  • Chessboard corner detection under Image physical coordinate.

    Jun Chu, Anzheng GuoLu, and Lu Wang.

    Optics and Laser Technology, 48(0): 599-605, 2013.

    Pdf Bibtex
    @article { JChu : physical_coordinate_13, author = "Jun Chu and Anzheng GuoLu and Lu Wang", title = "{Chessboard corner detection under Image physical coordinate}", journal = "Optics and Laser Technology", volume = 48, number = 0, pages = "599-605", year = {2013}, }
    Code-link1 Code-link2
  • Chessboard corner detection based on circular template.

    Jun Chu, Anzheng GuoLu, and Guihua Zhao.

    Optics and Precision Engineering, 21(1): 189-196, 2013.

    Pdf Bibtex
    @inproceedings { JChu : circular_template_13, author = "Jun Chu and Anzheng GuoLu and Guihua Zhao", title = "{Chessboard corner detection based on circular template}", journal = "Optics and Precision Engineering", volume = 21, number = 1, pages = "189-196", year = {2013}, }
    Code-link1 Code-link2


“Building the Detailed Dynamic Dependency Graph (DDDG) for Applications” Advisor: Prof. Dong Li, Ignacio Laguna. (On-going)

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Constructing the DDDG graph for an entire application instead of only one function, one module, or one loop, in which the values for registers and memories, and the dynamic control flows are visible.

“Identification of the fault resilience logic for machine learning like algorithms on large scale system”, Mentor: Ignacio Laguna, Prof. Dong Li. (On-going)

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The target is to recognize the inner logic of some algorithms that why they can tolerate underneath faults of large scale system derived from device worn, cosmos radiation like neutrons, and temperature. And then coming up with a methodology to automatically detect the fault resilience logic of the algorithms.

“Analysis on application-level fault tolerance on large scale system”, advisor: Prof. Dong Li. (On-going)

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soft errors (transient faults) due to reasons like cosmic rays are already making an impact in industry, and so many internet companies suffer from it. Generally, the damage brought by soft errors can be rolled back with great overhead, so what should we do to solve the problem? One feasible way is to protect the data and make the program more robust. Our goal is to propose a metric to evaluate the vulnerability of data within specific program, which will be used as the criterion to estimate the degree of protection on each data.

“Target Tracking Based on Context-aware and Sparse Representation”, advisor: Prof. Lingfeng Wang.

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prior research on classifying human beings on depth information.
1) read papers related to the specific research area and make a conclusion on existing methods; 2) try to propose a novel model to solve the problem from a new prospect.

“Gesture Recognition based on 2D and 3D Information” (course project)

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Identifying different gestures based on their 2D and 3D information.
1) fetching the 2D and 3D information of gestures with Kinect; 2) extracting the palm area out of the background based on depth discrimination; 3) smoothing the 3D mesh and extract the outline of gestures; 4) calculating the convex-hull for gestures based on their outline; 5) using an Adaboost classifier to recognize different gestures.

“Urban building modeling by integrating 2D and 3D information”, advisor: Prof. Chunhong Pan.

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Reasoning the framework of Indoor Scenes from a single image.
1) conducted some researches into the most essential part of indoor scene recognition, known as indoor frame recovery; 2) address difficulties such as illumination variations, weak boundaries and partial occlusions; 3) proposed an approach based on line segment refinement and voting; 4) refined detected line segments by revising, connecting, and adding operations; 5) utilized an iterative voting mechanism to select from refined line segments, where a cross ratio constraint is enforced to build the frame.

“Theories of Linear Reconstruction Natural Scenes Based on Spatial Invariants”, advisor: Prof. Jun Chu.

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calibrating the panorama cameras stably under complex scenes. (Coding with Matlab)
1) considered approaches based on chessboard panel; 2) proposed two algorithms of chessboard corner detectors based on a round template and a circular template, respectively, under image physical coordinate; 3) the physical coordinates allowed detected chessboard corners to reach the sub-pixel level in only one step; 4) experiment results prove that our algorithms can achieve better results in complex scenes.

“Key techniques for modeling the lunar surface for exploration and patrol”, advisor: Prof. Ouyang Ziyuan.

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finding a stable and efficient approach to calibrate the cameras fixed on the mobile robot. (Coding with C++)
1) there are four cameras, two panorama cameras and two navigation cameras. For the navigation cameras, I fixed their focal lengths. But for the panorama camera, the focal length could not be fixed; 2) discovered a problem that the calibration parameters of the panorama cameras could vary, as the robot is moving; 3) to address that, each time before taking pictures in 360 degrees, I stopped the robot and calibrated the panorama cameras with a fixed chessboard panel on the robot.


  • Ph.D. Student in Computer Science, University of California, Merced, U.S., Current GPA: 3.8/4.0
    Aug. 2015-present
  • M.S. in Vision and Pattern Recognition, Nanchang Hangkong University, China, GPA: 3.5/4.0
    Sep. 2011- Jun. 2014
    B.S. in Computer Science, Nanchang Hangkong University, China, GPA: 3.2/4.0
    Sep. 2007- Jun. 2011


Traveling Scholarship to join the ACM 50th Celebration of the Turing Award

Student Volunteer at SC’16, Salt Lake City, U.S (Fall, 2016)

Attendee at SC’15, Austin, TX, U.S (Fall, 2015)

Attendee at ICASSP’13, Vancouver, Canada (Summer, 2013)


  • Dong Li, Assistant Professor, University of California, Merced.
    Email: dli35[at]
  • Ignacio Laguna, Computer Scientist, LLNL.
    Email: lagunaperalt1[at]
  • Jun Chu, Professor, Nanchang Hangkong Unviersity.
    Email: chujun[at]
  • Chunhong Pan, Professor, Chinese Academy of Sciences.
    Email: chpan[at]
  • Shiming Xiang, Professor, Chinese Academy of Sciences.
    Email: smxiang[at]

Contact Info

4049 Notre Dame Ave
Merced, CA 95348
213, S&E 2
University of California, Merced
5200 North Lake Road
Merced, CA 95343

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