Yang Zhang

     PhD Student (CV)

     Computer Science&Engineering Department

     The Ohio State University

    Email: zhang.863@osu.edu

    Phone: 443-852-3168

    Mailing Address: 2015 Neil Avenue #395,Columbus,OH 43210, U.S.


    Education:
    2009-present:   PhD Student (advised by Prof. Srinivasan Parthasarathy), Dept. of Computer Science and Engineering, The Ohio State University, USA
    2005-2009:   Bachelor of Engineering, Computer Science College, Zhejiang University, China
    2005-2009:   Mixed Class (honor degree), Zhejiang University, China

    Research Interest:
    My current research interest is Data Mining and Information Visualization.
    My previous research interest is Computer Graphics.

    Publications

  • Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks (PDF) (Code)
    Yang Zhang and Srini Parthasarathy
    To appear in the International Conference on Data Engineering (ICDE) 2012.

  • Shape Matching based Real-time Simulation on Adaptive Lattice (PDF)
    Yang Zhang, Jin Huang, Hujun Bao
    Accepted as poster in ACM SIGGRAPH Symposium on interactive 3D Graphics and Games (ACM I3D) 2009.

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    Projects

  • Topics Exploration in Large Scale Graph

    • In a wikipedia graph data set with more than 100,000 nodes, we calculate the "density" of each node, and pick up the nodes in the densest areas, then merge them into super nodes, the nodes merged in the same super node usually exhibit similar topic. We layout these super nodes in the following figure, and the super nodes clustered together usually exhibit a specific area (such as social science), we could make use of the super nodes as “topic indicators” to guide users to visually explore topics in other sparse areas in a large network.

     

  • Multi-layer network visualization

    • The following pictures display a co-author network from the coarser layer to the finer layer, when users zoom in, they could get more details of the network.

     

    Computer Graphics Projects (undergraduate study)

  • Shape Matching based Real-time Simulation on Adaptive Lattice
    Shape matching based deformation method can simulate elastic effect efficiently and robustly. We propose an adaptive scheme to accelerate it by reducing the number of nodes greatly. After embedding the input model into an adaptive octree according to its shape, we adaptively add a few nodes and their associated basis functions during the simulation to capture deformation details. An efficient method is introduced to integrate the values in neighbor region which is discretized by the adaptive lattice accompanied with trilinear basis. PDF

 

  • Discrete Differential Geometry
    I self-studied Discrete Differential Geometry, and in the picture below, the swirl of snowfall is passively advected by flowing fluid, which is simulated using the method proposed in Discrete Differential Geometry course in Siggraph 2005(Chapter 9: Stable, Circulation-Preserving, Simplicial Fluids). Download Video Here