personal information

identification

Singapore Permanent Resident|Chinese citizen

address

17 Jalan Masjid, Singapore

contact

yingxu.he1998@gmail.com|+65 91752741|+86 15063250971

Working Experience

Machine Learning Engineer at Huawei Ltd.

• from Dec 2022 to present

• Built a pipeline to automatically visualize data tables using LSTM network trained on ChatGPT-generated data with pairwise loss method, achieving 80% recall@5 on 100+ internal test cases.

• Designed and implemented a novel SISR method that enhanced WIFI-signal simulations for office buildings by achieving 10x speedup compared to physics-based simulation with negligible loss in accuracy (1% MAE) on over 80 large-scale office layouts.

Machine Learning Research Engineer at Dyson Ltd.

• from Sept 2021 to Dec 2022

• Implemented an object localization model in a few -shot context by semi -supervised training. The model achieved comparable results to professional software with improved adaptability and robustness .

• Designed and implemented an air quality estimation model, using LGBM, Bayesian Regression, etc., with geographical and meteorological features . Demonstrat ed its advantages over spatial interpolated methods
and deployed the pipeline with Metaflow framework on AWS services.

ML Research Assistant at NUS -Singtel Cyber Security Lab

• from Sept 2020 to July 2021

• Identif ied anomalies from system logs leveraging DBSCAN and hierarchical clustering for model training .

• Developed an information retrieval method for web -attack strategy identification from system and firewall logs. The recall@3 rate achieved 80% on 100+ hand -labelled samples .

Data Analyst Intern at GIC Pte. Ltd.

• from Dec 2018 to July 2019

• Deployed an R application that forecasts the mid -term returns of portfolio with visualization using R shiny .

• Optimized the coefficients of a mean reversion forecasting model using the Genetic Algorithm.

Data Analyst Intern at PropertyGuru

• from May 2018 to Aug 2018

• Developed dashboard s in Tableau to analyze the user behaviors and listings’ performance to better match user demand to agents’ recommendations.

• Implemented a POC to calculate and geographically visualize the liveability score for properties .

Education

Master of Computing in Artificial Intelligence at National University of Singapore

• from Aug 2020 to Sept 2021 • School of Computing : CAP 4.42/5.0
• Teaching Assistant : Advanced Analytics and Machine Learning (from Jan 2021 to May 2021)

Bachelor of Science (Hons) in Business Analytics at National University of Singapore

• from Aug 2016 to June 2020
• School of Computing : CAP 4.15/5.0 , Dean’s List in Semester 3 AY 2018/2019
• Distinction : Analytics Techniques Knowledge Area (awarded in Dec 2020) • Teaching Assistant : Programming Methodology in python (from Aug 2017 to June 2018)

Relevant Projects

Distilling ChatGPT for finetuning image captioning models

• from Jan 2023 to Present
• Employed Chain -of-Thought with verification prompting technique on ChatGPT to create 10k+ accurate capt ions from the xView annotations. Fine -tuned a GIT image captioning model and significantly improved the CIDE r score from 11.59 to 85.93 over 2k RSICD samples.

Dialogue Response Generation ( Master Thesis ) at NUS NExT++ Lab

• from Nov 2020 to Aug 2021
• Built an enriched task -oriented response generation by implementing copy -mechanism on GPT -2 using Pytorch. The proposed model is capable of naturally incorporating external tips/user reviews about venues into responses. The generated response outperforms m any state -of-the-art models on user satisfaction.

Property Resale Price Prediction

• from Jan 2021 to May 2021
• Fitted CatBoost, LGBM, XGBoost on 43k pieces of property sales data. Selected features by correlation and information gain. Engineered new features describing properties’ livability. Reduce d data dimensionality
with WOE encoding. The f inal ensemble methods’ accuracy achieved 5th/64 place.

Skills

• Python (Pytorch, Tensorflow), R : Machine Learning, Deep Learning , Data processing
• SQL, Spark: Data query and big data
• Tableau, PowerBI : Visualization development
• Java, Git, Scala, JavaScript, HTML, CSS : Software Development