A platform that extracts visual information from the scientific literature and makes it available for use in new information retrieval applications and for studies that look at patterns of visual information across millions of papers.

PhyloParser: A Hybrid Algorithm for Extracting Phylogenies from Dendrograms

PhyloParser, a fully automated, end-to-end system for automatically extracting species relationships from phylogenetic tree diagrams using a multi-modal approach to digest diverse tree styles. Our approach automatically identifies phylogenetic tree figures in the scientific literature, extracts the key components of tree structure, reconstructs the tree, and recovers the species relationships.

Journal Visual Signature

Journals Clustering Using Deep Mapping
  • We developed a pipeline for mapping the visual literature.
  • We present preliminary results that show how patterns in figure use have changed over time, relate to impact, and vary by field.

DataLab - Office of Global Affairs

Global Impact of University of Washington Faculty

Global Impact Visualization
In this project, we were working on finding the global impact of UW faculty. We were mining open source Microsoft publication data to find the collaboratios between UW faculty and non-UW faculty, futher develep a matrics and visualization of global impact of University of Washington.

Organic Semiconductor Lab

Hydro-gel light-guiding conjunction for absorptive-type multi-ions detection

We present a novel miniaturized solid state sensor produced by embedding two optical fibers in a sensing hydro gel conjunction. The conjunction is a poly (2-hydroxyethyl methacrylate) (poly HEMA) hydro gel mixed with two kinds of selective fluorescent probes. Meso-2,6-Dichlorophenyltripyrrinone (TPN-Cl2) is used to react with zinc ion (Zn2+) and the synthesized “Chemosensor 1” is used to detect ferric ion (Fe3+). This hydro gel conjunction can serve as a light-guiding waveguide that allows light signals to transfer between two fibers. By using a multi-wavelength excitation light, a mixed solution that contains Zn2+ and Fe3+ can be detected in real-time. This miniaturized sensor develops an image for real-time monitoring of Zn2+ and Fe3+ ions in vivo.

Porous Organic PQT-12 Diode Ammonia Sensor

  • Fig.1 PQT-12 chemical structure and the structur of our sensor diode
  • javascript slider
  • Fig.3 Current response to ammonia of the device
Fig.1 PQT-12 chemical structure and the structur of our sensor diode1 Fig.2 Electrical property of the diode in N2 environment2 Fig.3 Current response to ammonia of the device3
jquery slider plugin by v8.2

We designed a PQT-12 porous vertical diode and conceptual verify the possiblity of this diode to be an ammonia sensor. PQT-12 is an light organic polymer which has high carrier mobility and high stability in the air.(Fig.1 PQT-12 chemical structure and the structur of our sensor diode) The project verify that PQT-12 can serve as ammonia sensing material. (Fig.2 Electrical property of the diode in N2 environment)(Fig.3 Current response to ammonia of the device) The porject won the "Award for Outstanding Performance in Research Project" from the Department of Photonics, NCTU.

Nano sensor group

  • Group photo of Nano Sensor Group in Spring 2014 at UIUC
  • jquery image slider
  • Fig.3 The simulation result
Group photo of Nano Sensor Group in Spring 2014 at UIUC1 Fig.2 The interface of the program.2 Fig.3 The simulation result3
jquery slider plugin by v8.2

During my only semester at UIUC, I designed 3D-printing models for microfluidic channel chips using Cero Parametric and developed the process of microfluidic experiments. Moreover, I designed a program in MATLAB to simulate the particle flooding phenomenon in microfluidic environment.(Fig.2 The interface of the program. Fig.3 The simulation under one random condition.) The concepts and the equations in the program refers to "Mass transport and surface reactions in microfluidic systems".