YING WANG | Personal Website

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ABOUT

PERSONAL DETAILS

1601 Holleman Dr, College Station, TX, 77840

ying.wang@tamu.edu

314 858 0235

Hello. I am a Researcher Programmer
I am passionate about programming and coding
Welcome!

Bio
Hobbies

BIO

ABOUT ME

My name is Ying. I am a second-year Ph.D. student in Texas A&M University. I am currently seeking an opportunity to be a research intern in the computer graphics industry.

I love physics-based simulation.

HOBBIES

INTERESTS

Concerts.

Violin.

Rock Climbing.

Painting.

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RESUME

EDUCATION
2017
2022

College Station, TX
COMPUTER SCIENCE - PHD

Texas A&M University
2015
2017

St. Louis, MO
COMPUTER SCIENCE - MS

Washington University in St. Louis
2011
2015

Beijing, China
MECHANICAL ENGINEERING - BS

Beijing University of Posts and Telecommunications
ACADEMIC AND PROFESSIONAL POSITIONS
2017
2018

College Station, TX
GRADUATE RESEARCH ASSISTANT

TEXAS A&M COMPUTER GRAPHICS LABORATORY
Working on muscle simulation under Dr. Shinjiro Sueda's guidance.
2016
2016

St. Louis, MO
GRADUATE STUDENT RESEARCHER

WASHINGTON UNIVERSITY COMPUTATIONAL BIOIMAGING LABORATORY
Applied deep learning technique to signal detection task algorithms under Dr. Mark Anastasio's guidance.
2014
2015

Beijing, China
LAB ASSISTANT

CHINESE ACADEMY OF SCIENCES NATIONAL LABORATORY OF PATTERN RECOGNITION
Applied machine learning algorithms to obtain the 3D mesh decomposition under Dr. Huaiyu Wu's guidance. Achieved cascaded merging based on features between neighboring super-patches. Optimized the segmentation results and improved the efficiency of the process.
HONORS AND AWARDS
2015

Beijing, China
MERIT SCHOLARSHIP

Beijing University of Posts and Telecommunications
Competitive award for academic excellence.
2018

College Station, TX
GRACE HOPPER SCHOLARSHIP

Department of Computer Science and Engineering, Texas A&M University
Competitive scholarship for attending the 2018 Grace Hopper Conference on Celebration of Women in Computing in Houston, TX.
2019

College Station, TX
TRAVEL AWARDS

Department of Computer Science and Engineering, Texas A&M University
Competitive scholarship for participating as a presenter of 2019 Siggraph Conference in Los Angeles, CA.

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PUBLICATIONS

PUBLICATIONS LIST

ALL

ALL
CONFERENCES

SORTING BY DATE

July 2019

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

SIGGRAPH 2019 - LOS ANGELES

Conditionally accepted.

Conferences Physical simulation

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

Conferences Physical simulation

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RESEARCH

RESEARCH PROJECTS

COMPUTER VISION LAB SERIES

- Project #1: Feature Detection and Matching: Implemented a feature detector that robustly compare images with differences in position, orientation, and illumination.

- Project #2: Panorama Mosaic Stitching: Built a image stitching software to create 360 degree panoramas.

- Project #3: Eigen Faces: Applied Eigenfaces to do face verification, recognition, and detection.

- Project #4: Single View Modeling: Built a single view modeling system for creating 3D models from single images.

- Project #5: A Neural Algorithm of Artistic Style: Applied CNN methods in texture transfer.

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SKILLS

PROGRAMMING SKIILLS

LEVEL : INTERMEDIATE

C++PythonMATLABMathematicsLaTeXPHPJavaScript

OFFICE SKILLS

LEVEL : ADVANCED

Ms excelMs wordMs powerpoint

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PROJECTS

Research

Starfish simulation with fully implicit two-way coupling

Starfish Simulation

A starfish with a skeleton consisting 752 of 20 joints and a coarse FEM mesh consisting of 221 vertices. For display and collision, a fine mesh is embedded with 7909 vertices 754 inside the coarse simulation mesh.
1. The material model is co-rotated elasticity, but any material model can be used. To avoid inversion in large deformation, invertible FEM method is applied.
2. The animation is controlled by RED/MAX hybrid dynamics. The locomotion of starfish is controlled procedurally by prescibing joints and some specific points on the skeleton.
3. The rest of the skeleton and the FEM mesh are passively simulated with fully implicit two-way coupling.

Research

Hand simulation with coupled interphalangeal joint motions

Hand Simulation

We simulate a human hand using hyper reduced coordinates on the most distal joint(DIP) / the second most distal joint(PIP) of the four fingers.
1. The animation is controlled by RED/MAX hybrid dynamics.
2. The fingertip positions are prescribed using maximal inverse dynamics.
3. The elbow angle is prescribed using reduced inverse dynamics.

Physically Based Modeling

Rigid Body Simulation

The rigid body simulator simulates the dynamics of rigid body linkage system using maximal coordinates and reduced coordinates. The user can:
1. Decide the number of rigid bodies, the tree structure of the joints (branching, loop, etc).
2. Add constraints such as joint angle limits.
3. Add springy object such as springs, deformable objects, etc.

Realtime Fluid Simulation

CFD simulation

CFD Simulation

The CFD simulator allows the user to load a background image and paint density/obstruction into the scene. The user can:
1. Interactively change several related parameters: gravity constant, the size of time step, the number of Gauss-Seidel iteration desired, the number of iterations of Iterated Orthogonal Projections desired, etc.
2. Turn on/off three forces in the density field: Bouyant gravity force, Surface tension force, Vorticity confinement force.
3. Change between three advection schemes and compare their differences: Semi-Lagrangian, BFECC, Modified MacCormack(MM).

Realtime Fluid Simulation

3D SPH Simulation

3D SPH system

This project implements a 3D SPH system. The forces include the Tait equation of state, viscosity, and gravity. The simulator can run with thousands of particles, and allows interactive (keyboard) adjustment of the following set of parameters: kernel radius, viscosity strength, gravity strength, Tait parameters for strength, power, and base density.