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  • Carnegie Mellon University
  • Pittsburgh, United States
  • LinkedIn in/stephenw624
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WangHewei16/README.md

Hi 👋, I'm Stephen H. Wang

Hi! I am Stephen H. Wang👋, a master's student at Carnegie Mellon University, School of Computer Science (CMU SCS). I am working as Computer Vision Student Researcher at Meta Reality Labs and Research Assistant at CMU Robotics Institute supervised by Ioannis Gkioulekas. My interests lie in computer vision, geometry, machine learning, and deep learning. I originally graduated from University College Dublin (UCD) in Ireland, earning a Bachelor’s in Software Engineering. During UCD, I took on a role as an ML/CV research intern in THEIA lab and collaborated with Nanyang Technological University (NTU), supervised by Assoc Prof Yee Hui Lee and Dr. Soumyabrata Dev. My endeavors have culminated in 10+ works with 150+ citations published and delivered in esteemed conferences, journals, and workshops including CVPR, AAAI, CIKM, BMVC, IEEE, SCI, and Elsevier.

👨‍🎓 Obtained First Class Honor at UCD, and as an undergraduate researcher at the UCD THEIA lab advised by Dr. Soumyabrata Dev.
💼 Worked as a machine learning engineer intern at Institute of Automation, Chinese Academy of Sciences (CASIA).
💡 I'm interested in computer vision and machine learning, particularly 3D scene construction and 3D-aware image synthesis.
🔥 Recently, I am fascinated by hybrid optical-electronic CNN, especially its low-power application in image processing.
🔍 Linkedin | Google Scholar | ResearchGate

Github stats

General Skills

GitHub Git GitLab Netlify VS Code MacOS Windows Figma Jira Slack

Frontend Skills

HTML5 CSS3 JavaScript TypeScript React Vue.js Sass TailwindCss Android Swift

Backend Skills

Java Golang NodeJS Express C++ C# Python Spring Boot Flask Django Webpack Rollup Jest ESlint Rust Ruby PHP Scala Kotlin GraphQL FastAPI Apollo GraphQL RESTful API

Database and Message Queue

MySQL Redis RabbitMQ PostgreSQL MongoDB Kafka Cassandra

DevOps and Cloud Services

Docker Jenkins Maven Nginx Linux AWS Azure Kubernetes Travis CI Google Cloud Ansible

AI and Machine Learning Skills

TensorFlow PyTorch Keras Scikit-Learn OpenCV NLTK GPT Pandas Numpy Matplotlib Seaborn Jupyter DataBricks Spacy OpenCV OpenGL BERT YOLO Tesseract Computer Vision Natural Language Processing

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  1. DMCNet-for-Video-Engagement-Understanding DMCNet-for-Video-Engagement-Understanding Public

    [Elsevier SOCL2022] Investigate in ML/DL-ensembled models and visualize features by dimension reduction techniques like PCA and t-SNE, measure performance via multiple metrics (e.g., Gini Index, AG…

    Jupyter Notebook 25 2

  2. AMDCNet-for-Stereo-Matching AMDCNet-for-Stereo-Matching Public

    [Elsevier Displays 2022] Propose visual sensitivity regularization in cost calculation stage and multi-directional aggregation template, optimize parallax through left-right consistency detection.

    C++ 24 6

  3. 3D-VistaNet-Purificatory-LoFTR-and-DKM-with-Test-Time-Augmentation-for-Scalable-Image-Matching 3D-VistaNet-Purificatory-LoFTR-and-DKM-with-Test-Time-Augmentation-for-Scalable-Image-Matching Public

    [CVPR2022 Image Matching Workshop (IMW) Top6%] Propose a model registering two images from diverse viewpoints with coarse-to-fine attention, use LoFTR for local feature matching and DKM for regress…

    Jupyter Notebook 20 3

  4. CassavaNet-An-EfficientNet-Vision-Transforer-for-Real-Time-Leaf-Disease-Identification CassavaNet-An-EfficientNet-Vision-Transforer-for-Real-Time-Leaf-Disease-Identification Public

    [Kaggle2020 Competition Top1.59% Silver Medal🥈] Develop an EfficientNet-based DL network consisting MBConv modules and a ViT backbone to classify the disease types of cassava leaf.

    Jupyter Notebook 10 2

  5. MelodyDreambit-AI-driven-Musical-Instrument-E-commerce-Website MelodyDreambit-AI-driven-Musical-Instrument-E-commerce-Website Public

    [Website based on Flask/SpringBoot+Vue2] Develope a multi-lingual trade website with customer and staff portals; enabled end-to-end functions such as online chatting, order placement, shipment trac…

    JavaScript 1

  6. Stroke-Prediction-from-Electronic-Health-Records Stroke-Prediction-from-Electronic-Health-Records Public

    Forked from Soumyabrata/EHR-features

    [Elsevier Healthcare Analytics 2022] Analyze vital factors in EHR to predict stroke, perform correlation analysis and adopt PCA to identify patterns in low-dimension subspace of the feature space.

    PostScript 8