Address: Jiang'an Campus, Sichuan University, Chengdu, China | Phone: 18501384113 | Email: [email protected], [email protected]
- Master of Science in Electrical & Computer Engineering (Major: Software Development)
- School of Computing Summer Workshop 2022 | GPA: A-
- Main Course: Introduction to Computation and Optimization for Statistics
- Main Course: Introduction to Computation and Optimization for Statistics
- Bachelor of Engineering in Sichuan University | Computer Science | GPA(WES): 3.84/4.0
- National Scholarship (2/252) for the academic year 2021-2022 | Sept.2022
- Freshman comprehensive ranking: 28/254
- Sophomore comprehensive ranking: 9/254
- Course: Java Programming (96), Data Structure and Algorithm Analysis (93), Discrete Mathematics (99), Operating System (92), Principle of Database System (94), Practice in Advanced Software Engineering (95), Principle of Compiler (91).
- National Second Prize (15%), The 11th Asia and Pacific Mathematical Contest in Modeling (APMCM) | Nov. 2021
- Provincial First Prize (5%-7%), 2021 China Undergraduate Mathematical Contest in Modeling | Oct. 2021
- Provincial Excellent Evaluation, 2021 National College Student Computer Design Competition | June. 2021
- National First Prize (5%), The 11th MathorCup College Mathematical Modeling Challenge | Apr. 2021
- Two Provincial Excellence Awards, 2020~2021 National College Student Innovation and Entrepreneurship Project | Apr. 2021
- Meritorious Winner (6.9%), Mathematical Contest in Modeling (MCM) | Feb. 2021
- Provincial Third Prize, 2020 China Undergraduate Mathematical Contest in Modeling | Oct. 2020
- Comprehensive second-class scholarship (3.5%), Sichuan University (2020~2021) | Sept. 2021
- Comprehensive third-class scholarship (11%), Sichuan University (2019~2020) | Sept. 2020
- First class award, Sichuan University-The Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction (2020~2021) | Sept. 2021
Project: Optimize the mRNA vaccine sequence algorithm for the covid-19
Supervisor: Prof. Xiaobo Zhou
- Investigated a multilingual machine translation model and applied it to the joint translation of the 3'UTR and 5'UTR of mRNA.
- Redesigned the pre-training task of DNABERT, which could end up with better sequence embedding vectors.
- Inserted the pre-trained DNABERT weights to the bert2bert model for the translation task, which brought the BLEU score to 33.8. Compared with the traditional model without pre-training to test the effectiveness of NLP migration to the DNA translation task.
- Explored parameter sharing in multilingual machine translation.
Project: Exploration ofOptimal Structure Prediction Based on Random Forest and Cluster Geometric Configuration
- Led a team ofthree in project planning, modeling, programming, and paper writing.
- Used the K-means algorithm to cluster chemical molecules, and results were brought into SVM for verification.
- Employed supervised learning method to obtain the prediction accuracy to verify the classification effect.
- Made predictions using random forest models.
- Referred to the literature to introduce auxiliary quantities of atomic density and cluster volume to characterize their influence on energy values.
Project: Disaster-Prevention-Treasure App
- Served as Project Leader and took charged of needs analysis front-end development.
- Responsible for the writing of the application form, which includes the technical route, project feasibility, and project planning, and was rated as the first place in the evaluation of the establishment of the project.
- Realized mobile terminal development based on flutter-UI framework and dart language, and familiarized with various components and dart syntax.
- Obtained the software copyright of the Disaster-Prevention-Treasure app, which is the outcome of this project.
Project: Beat the Vespa Mandariniz: Interpretation and Exploration ofSighting Report
- Led a team ofthree in the overall planning, modeling, programming, and paper writing.
- Carried out the construction of the overall rating model, feature value extraction, and data processing.
- Performed text conversion (tf idf) and used K means for text classification.
- Implemented difference processing on time series data and used ARIMA to make predictions based on time series to determine ARIMA model parameters.
- In the face of unbalanced small samples, the sample size is expanded through operations such as translation and rotation, and a CNN is built for image classification.
- Responsible for daily data acquisition and production of reports(SQL, EXCEL)
- Data filling with Python
- Monitoring third-party data
- Supervised and coordinated the distribution of physical test volunteers of Sichuan University.
- Responsible for the promotion of the association's public account and daily publicity.
- Awarded as the Excellent Volunteer of Sichuan University "Pentium Young Volunteer" in 2019~2020.
- Used VR and high-tech tools to perform science lectures on disaster prevention and mitigation to residents.
- Conducted questionnaire surveys related to disaster prevention and mitigation.
- Organize residents to conduct earthquake drills.