Oct. 2013 ~ 

Nov. 2014

FDUROP Project: 'The development of an inaccurate graph isomorphism algorithm and its application in prototype machine' (Exhibited on 2014 Shanghai Industrial Exhibition)

 Advisor: Prof. Bin Wang, Key Laboratory of EMW information, Fudan University

 Building a prototype machine which uses contour extraction algorithms to determine the location of products in images captured from production line and sort them according to their shape. 

• Funded 6000 RMB by FuDan Undergraduate Research Opportunity Program(FDUROP)

                          Cooperated with Shanghai GO-WELL Electrical Technology CO.

• Used Matlab and OpenCV for the algorithm and executed on multi-platform (PC, raspberry, DSP)

• Endured noises and overlaps, high recognition of different products on the same production line

Feb. 2014 ~

Dec. 2014

Research: 'An improved method of acquaintance immunization strategy in complex network'(published on JTB (IF:2.116), First Author)

 Advisor: Prof. Xiang Li, Adaptive Networks and Control Lab (CAN), Fudan University

 A research to find an improved method to effectively immune a virus spreading in complex network.

• A new Index of NSI is presented to value the structure and importance of nodes in network

• Improved the classical acquaintance immunization strategy using NSI to protect 14.9% more nodes and decrease the spread rate by 27.6% (compared to classical strategy in our simulation)

• Simulated in various network structures. Best in most random graph compared to other immunization strategies in the perspective of maximum percentage of infected nodes

Sep. 2014 ~ 

Mar. 2015

Research: 'An Adaptive Computer-aided Tongue Diagnosis Method using Color-calibration Preprocessing and Multiple Feature Synthesis based on Android' (published on IJWMC, First Student Author)

 Advisor: Prof. Huiliang Shang, Circuit Theory and Application Lab, Fudan University

 A research on diagnosing disease by taking a picture from tongue based on Android phone.

• Used QCGP to solve the problem of white balance

• Adapted HSV model in Tongue brim pixels searching

• Adapted inverted pentagonal four-line tongue outline searching and linking algorithm

• Accuracy and effectiveness corroborated with professional clinicians

Oct. 2014 ~

Feb. 2015

Research: 'The Application Characteristics of Traditional Chinese Medical Science Treatment on Vertigo Based on Data Mining Apriori Algorithm' (published on IJWMC, First Student Author)

 Advisor: Prof. Huiliang Shang, Circuit Theory and Application Lab, Fudan University

 To investigate statistical law in Traditional Chinese Medical(TCM) Treatment on vertigo using data mining technique

• Created a database of TCM treatment prescriptions where 100 cases of prescriptions are selected.

•  Mobile app letting clinicians upload new diagnosis results and view updating data-mining results.

• Using Apriori algorithm for association rules mining in SPSS to find interrelationships among TCM syndromes, symptoms, and herbal medicine for vertigo, helping research on vertigo using TCM

Jan. 2015 ~

Jun. 2015

Research: 'A Novel Automatic Tongue Image Segmentation Algorithm: Color Enhancement Method Based on L*a*b* Color Space'(published in Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, First Author)

 Advisor: Prof. Huiliang Shang, Circuit Theory and Application Lab, Fudan University

 Utilize potential advantages of specific characteristics in three color-spaces to find a new method to detect tongue contour in the tongue diagnosis image.

• In HSV space, using a hue threshold control function to determine a proper threshold value for preliminary separation of tongue region

• In RGB space, performing color enhancement to obtain a better luminance which is more suitable for tongue segmentation

• In L*A*B* space, using the luminance sensitivity of L channel to constrain the area of interest

• Cooperated with Shanghai Traditional Chinese Medicine University and series of local hospitals

Jun. 2015 ~

Oct. 2015

Application: 'Structure light 3D modeling system' (Commercial Product)

 Internship in Figoo Automation company

 Building a system using structure light to obtain 3D Point Cloud model with camera and projector.

• Project light with stripe patterns on object surface to detect concave and convex

• Statistical filter and z-index pass-through filter to remove noises

• SIFT algorithm used to extract characteristic points; ICP algorithm to merge faces; Greedy Triangulation algorithm for smooth visualization

• Friendly user interface coded with Qt software