Cloud Travel Planner Platform Using AWS Services

Team Member, CU

IceBerg: Commercial Reimbursement System

Team Member, CU

Rule-based Marketing Platform to Manage Call Detail Record (CDR)

Team Member, CU

Programming Language and Translator Design for Smart Contract

Team Member, CU

• Designed lexical convention and content free grammar for our smart contract language
• Implemented parser and semantic check using Ocaml; translated our semantically checked AST to Minic IR; provided pretty printing function in each stages; converted code in our language to bytecode for EVM; provided unit tests
• Built EVM using ganache-cli package and tested compiled program in bytecode using Javascript on this EVM

Web Application for Video Object Segmentation and Visualization

Team Member, CU

High Dynamical Range (HDR) Video Recovering Algorithm

Deputy Team Leader, SJTU; Company Sponsor: OTC/SSG/Intel

Different Machine-Learning Methods to Predict Movie Popularity

Team Member, CU

• Analysed dataset and visualized features of conventional and social media features
• Reproduced the results of the original paper by recreating all the model using R code
• Implemented multiple models to predict movie ratings, such as linear regression, LDA&QDA, Naive Bayesian, Decision Tree, SVM and so on

Music Recommendation System Analyzed from Million Song Dataset (MSD)

Team Member, SJTU

• Extracted songs information from 160GB MSD and preprocessed data using hadoop and drill
• Built similar artist adjacent matrix using MapReduce in hadoop and Spark and compared two methods
• Used Naive Bayes to guide the scaling data and investigated features inside data using clustering methods
• Constructed the pipeline of music recommendation based on adjacent matrix and features

Bayesian Analysis based on Sample Point Data Using Julia

Team Member, SJTU

Deep Learning Face Super-Resolution with Facial Prior

Team Member, SJTU

• Re-implemented FSRNet in TensorFlow to reconstruct face high resolution images
• Dealt with facial landmarks in Helen Dataset and generated and augmented data with different methods
• Illustrated the significance of using facial prior in face SR tasks with three metrices, MSE, SSIM, PSNR

Multi-threaded and Efficient Programming in Database

Team Member, SJTU

• Implemented table management queries and data manipulation in C++ and handled exceptions in query error
• Accelerated database using multi-threading and optimizing data structure, enabling 50% faster speed

Model Analysis of Effect Factors on Rental Price

Individual Project, SJTU

• Downloaded 958 Mb data from Airbnb and then cleaned, classified and processed data by R
• Used GAM and GLM to match and explain data; checked model assumptions, outliers, high leverage points and so on to achieve an excellent model effect

MCM/ICM: Problem B: Turnpike Toll Plaza Model Based on Queuing Theory

Team Leader, SJTU

• Built inflow model and merging queue model to generate the incoming cars and calculate the throughput when vehicles exit the toll plazas
• Designed two new toll plazas: reversible plaza and separate plaza to improve the efficiency
• Used C++ to realize visualization and MATLAB to generate data and found solutions to different conditions