YING WANG | Personal Website

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ABOUT

PERSONAL DETAILS

2205 Dartmouth St, 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 third-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.

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.
HONORS AND AWARDS
2019

College Station, TX
GHC STUDENT SCHOLARSHIP

GHC Scholarship Committee
For attending the 2019 Grace Hopper Conference on Celebration of Women in Computing in Orlando, FL.
2019

College Station, TX
TRAVEL AWARDS

Department of Computer Science and Engineering, Texas A&M University
For participating as a presenter of 2019 Siggraph Conference in Los Angeles, CA.
2018

College Station, TX
GRACE HOPPER SCHOLARSHIP

Department of Computer Science and Engineering, Texas A&M University
For attending the 2018 Grace Hopper Conference on Celebration of Women in Computing in Houston, TX.
2015

Beijing, China
MERIT SCHOLARSHIP

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

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PUBLICATIONS

PUBLICATIONS LIST

ALL

ALL
CONFERENCES

SORTING BY DATE

1 July 2019

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

SIGGRAPH 2019 - LOS ANGELES

We propose an efficient and flexible approach that works in reduced/maximal coordinates with fully implicit two-way coupling of articulated and deformable bodies.

Conferences Ying Wang, Nicholas J. Weidner, Margaret A. Baxter, Yura Hwang, Danny M. Kaufman, Shinjiro Sueda.

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

Ying Wang, Nicholas J. Weidner, Margaret A. Baxter, Yura Hwang, Danny M. Kaufman, Shinjiro Sueda. Conferences Physical simulation

We propose an efficient and flexible approach that works in reduced/maximal coordinates with fully implicit two-way coupling of articulated and deformable bodies.

Poster

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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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TEACHING

CURRENT
NOW
2019

TEACHING ASSISTANT

TEXAS A&M UNIVERSITY
(FALL 2019) CSCE-315 Programming Studio
Instructor: Prof. Robert Lightfoot

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PROJECTS

Research

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

We propose a new approach that is capable of solving the linearly implicit equations of motion in near linear time. Our method, which we call Red/Max, is built using a combined reduced/maximal coordinate formulation. This hybrid model enables direct flexibility to apply arbitrary combinations of constraints and contact modeling in both reduced and maximal coordinates, as well as mixtures of implicit and explicit forces in either coordinate representation. We highlight Red/Max's flexibility with seamless integration of deformable objects with two-way coupling, at a standard additional cost. We further highlight its flexibility by constructing an efficient internal (joint) and external (environment) frictional contact solver that can leverage bilateral joint constraints for rapid evaluation of frictional articulated 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.

Physically Based Modeling

Cloth Simulation

This project implements a springy system.

Software Engineering

Football Bingo

Football Bingo Website

WHOOP, or Football Bingo, will be a mobile application hosted via 12thmanlive.com allowing football fans the opportunity to engage with each other and the game in real-time. Every player will have one free bingo card for a sports game, the card will contain carefully selected 'chips' defining a particular condition that, if true about the respective game, will be awarded to the player. Some such chips, when awarded, will be 'instant winners' giving the player immediate rewards, but the goal of this application is to keep users engaged in the sports game as they attempt to achieve a bingo! Which will reward a small selection of winners with larger prizes.
Stakeholders include fans, sponsors, and the TAMU Athletics department. The goal of this application is to increase TAMU sports fans' exposure to 12thmanlive.com, encourage camaraderie amongst fans, and as a method of understanding more about the sports fan base through registration rates, feedback, etc. (admin login: email:admin@gmail.com, pwd: 123456)

Computational Fabrication

3D Printable Kirby

3D Printable Kirby

A movable 3D Kirby model designed using OPENSCAD.

Computer Vision

A Neural Algorithm of Artistic Style

A Neural Algorithm of Artistic Style

We want to maintain the global arrangement from the original photograph and apply the colors and local structure of the artwork to it. We end up with a new synthetic image which has the style of the artwork and the content of the photograph.

Tic Tac Toe Robot

Tic Tac Toe Robot

Tic-Tac-Toe Robot by Flexible Control and Image Recognition

This project we assembled the robot and simulated the motion in Solidworks. We also devised a C program in AVR Studio to control the movement and provide an algorithm for the robot. We finally accomplished the image recognition process both in MATLAB and OpenCV.

Computer Vision

Feature Detection and Matching

Feature Detection and Matching

This project is to detect discriminating features in an image and find the best matching features in other images. The features are reasonably invariant to translation, rotation, illumination, and scale.

See results -->

Computer Vision

Panorama Mosaic Stitching

Panorama Mosaic Stitching

Basicly, the workflow of generating panoramic photos is as follows: Take a bunch of photos. Warp them to spherical coordinate system. Align them properly. Stitch, crop and blend them to generate the final panorama.

See results-->

Computer Vision

Eigen Faces

Eigen Faces

In this project we create a face recognition system. The program reduces each face image to a vector, then uses Principal Component Analysis (PCA) to find the space of faces. This space is spanned by just a few vectors, which means each face can be defined by just a set of coefficients weighting these vectors.

See results-->

Computer Vision

Single View Modeling

Single View Modeling

We fill in various routines and ultimately create 3D texture-mapped models from a single image using the single view modeling method discussed in class. The steps of the project are: 1. Image acquisition 2. Calculate vanishing points 3. Choose reference points 4. Compute 3D coordinates of several points in the scene 5. Define polygons based on these points. 6. Compute texture maps for the polygons and output them to files. 7. Create a 3D texture-mapped VRML model

See results-->

Computational Photography

Eulerian Video Magnification

Eulerian Video Magnification

The intuitive approach to motion magnification is to identify points of interest between frames, track their movements and generate an optical flow field, and then amplify said field to produce the magnification effect. This is the core of the "Laplacian" method used in Liu et al. 2015. However, it is computationally intensive to derive and amplify said fields accurately, leading to the developments of the "Eulerian" approach utilized by Wu et al. 2012. The difference between the two approaches is analogous to the contrasting Laplacian and Euclidian perspectives in fluid mechanics. While the Laplacian approach tracks the movement of individual fluid particles, the Euclidian approach generalizes the same properties by analyzing the flow through voxels of fluid instead. Similarly, Eulerian Video Magnification does not identify explicit particles and track their movements, but instead analyzes the periodic intensity change of individual pixels over time and amplifies them.

Computational Photography

Eulerian Video Magnification

Motion or Video

The project considers video input data, and ways to either extend a short video clip or summarize a video in a small image

Computational Photography

Image Quilting for Texture Synthesis and Transfer

Image Quilting for Texture Synthesis and Transfer

In this project we implement Image Quilting for Texture Synthesis and Transfer, a SIGGRAPH 2001 paper by Alexei A. Efros and William T. Freeman. The paper presents a simple image-based method to do texture synthesis and texture transfer. Texture synthesis is the process of creating an image of arbitrary size from a small sample (grass sample above). Texture Transfer means re-redering an image in the style of another one (Abraham Lincoln above).

Computational Photography

Gradient-Domain Fusion

Gradient-Domain Fusion

This project explores gradient-domain processing, a simple technique with a broad set of applications including blending, tone-mapping, and non-photorealistic rendering. For the core project, we will focus on "Poisson blending"; tone-mapping and NPR can be investigated. The primary goal is to seamlessly blend an object or texture from a source image into a target image.

Computational Photography

Image Alignment with Pyramids

Image Alignment with Pyramids

Automatic color aligning and compositing of the Prokudin-Gorskii photo collection.

Computational Geometry

Sweep Line Algorithm Applet

A Simple Applet to Construct Trapezoidal Map using Sweep Line Algorithm

This project is an simple applet showing the plane sweep algorithm to construct a trapezoidal map. It shows the sweep line itself, the known events, and the segments that are on the sweep line, and highlights the changes that happen during events. (You might need to open it using Internet Explorer.)

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CONCERTS

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MOVIES

Blade Runner
Blade Runner 2049
The Matrix
Chungking Express
Farewell My Concubine
2001: A Space Odyssey
Trainspotting
Mysterious Skin
American Beauty
The Lion King
Mulan
Lotus Lantern
Atlantis: The Lost Empire
Ghost in the Shell
Swallowtail Butterfly
Merry Christmas Mr. Lawrence
Man with a Movie Camera
Pulp Fiction
The Fifth Element
Lost in Translation
Interstellar
The Phantom of the Opera
The Great Gatsby
The Perks of Being a Wallflower
Slumdog Millionaire
Kokuhaku/Confessions
Akira
Paprika
Millennium Actress
Hunter x Hunter
Steamboy
Perfect Blue
Eden of the East
Drive
The Boat That Rocked
One Flew Over the Cuckoo's Nest
Pride & Prejudice
The Lord of the Rings: The Fellowship of the Ring
Nodame Cantabile
The Painted Veil
The Shining
The Truman Show
Rear Window
Factory Girl
True Detective Season 1
T2:Trainspotting
Amadeus
Nocturnal Animals
Night on Earth
Life of Pi
Atonement
Frantz
Submarine
Get Out
Metropolis
La La Land
Le herisson
La boum
Jeux d'enfants
Leon
Le fabuleux destin d'Amelie Poulain
Manchester by the Sea
Great Expectations
Norwegian Wood
A Chinese Ghost Story: The Tsui Hark Animation
The Girl Who Leapt Through Time
The Prince of Egypt
Whisper of the Heart
Spirited Away
Princess Mononoke
Omohide poro poro / Only Yesterday
Howl's Moving Castle
Laputa: Castle in the Sky
Paradise Kiss
Kara no Kyoukai: The Garden of Sinners
TOUCH
Love Actually
Velvet Goldmine
When Harry Met Sally... Mountains May Depart
Live Forever: The Rise and Fall of Brit Pop
Kotonoha no Niwa/The Garden of Words
(500) Days of Summer
Blue Gate Crossing
Big Fish
Being John Malkovich
The Polar Express
The Reluctant Fundamentalist
Philadelphia
Green Snake
King of the Children
Avatar
Coraline
Edward Scissorhands
Roman Holiday
Les choristes
Titanic
A Beautiful Mind
Scent of a Woman
La vita e bella
V for Vendetta
Se7en
Annihilation
Burning
Frances Ha
Coherence
Arizona Dream
Mustang
Taste of Cherry
Once Upon a Time in America
The Last Emperor
PicNic
Brokeback Mountain
Inception
Minority Report
Edge of Tomorrow
The Crucible

ABOUT

BIO

ABOUT ME

HOBBIES

INTERESTS

RESUME

COMPUTER SCIENCE - PHD

Texas A&M University

COMPUTER SCIENCE - MS

Washington University in St. Louis

MECHANICAL ENGINEERING - BS

Beijing University of Posts and Telecommunications

GRADUATE RESEARCH ASSISTANT

TEXAS A&M COMPUTER GRAPHICS LABORATORY

GRADUATE STUDENT RESEARCHER

WASHINGTON UNIVERSITY COMPUTATIONAL BIOIMAGING LABORATORY

LAB ASSISTANT

CHINESE ACADEMY OF SCIENCES NATIONAL LABORATORY OF PATTERN RECOGNITION

GHC STUDENT SCHOLARSHIP

GHC Scholarship Committee

TRAVEL AWARDS

Department of Computer Science and Engineering, Texas A&M University

GRACE HOPPER SCHOLARSHIP

Department of Computer Science and Engineering, Texas A&M University

MERIT SCHOLARSHIP

Beijing University of Posts and Telecommunications

PUBLICATIONS

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

SIGGRAPH 2019 - LOS ANGELES

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

RESEARCH

COMPUTER VISION LAB SERIES

COMPUTATIONAL PHOTOGRAPHY LAB SERIES

COMPUTATIONAL GEOMETRY

WEB DEVELOPMENT LAB SERIES

TEACHING

TEACHING ASSISTANT

TEXAS A&M UNIVERSITY

PROJECTS

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

REDMAX: Efficient & Flexible Approach for Articulated Dynamics

Rigid Body Simulation

Rigid Body Simulation

CFD simulation

CFD Simulation

2D SPH Simulation

2D SPH system

3D SPH Simulation

3D SPH system

Cloth Simulation

Cloth Simulation

Football Bingo

Football Bingo Website

3D Printable Kirby

3D Printable Kirby

A Neural Algorithm of Artistic Style

A Neural Algorithm of Artistic Style

Tic Tac Toe Robot

Tic-Tac-Toe Robot by Flexible Control and Image Recognition

Feature Detection and Matching

Feature Detection and Matching

Panorama Mosaic Stitching

Panorama Mosaic Stitching

Eigen Faces

Eigen Faces

Single View Modeling

Single View Modeling

Eulerian Video Magnification

Eulerian Video Magnification

Eulerian Video Magnification

Motion or Video

Image Quilting for Texture Synthesis and Transfer

Image Quilting for Texture Synthesis and Transfer

Gradient-Domain Fusion

Gradient-Domain Fusion

Image Alignment with Pyramids

Image Alignment with Pyramids

Sweep Line Algorithm Applet

A Simple Applet to Construct Trapezoidal Map using Sweep Line Algorithm

CONCERTS