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Welcome to my GitHub ๐Ÿ‘‹

  • ๐Ÿ“– I'm a student from ZJU-UIUC Institute majoring in Computer Engineering and currently studying at the University of Illinois Urbana-Champaign...

  • โญ๏ธ My interests are quite diverse, spanning from prompt engineering to autonomous vehicle safety, software architecture, and wireless network analysis...

  • ๐Ÿ”ญ I'v conducted a comprehensive research on open-source software communities and effectiveness, as well as working on autonomous vehicle safety testing...

  • ๐ŸŒฑ Iโ€™m diving deeper into advanced topics like Multimodality LLM + Automated Driving

  • ๐Ÿ“ซ You can reach me at: [email protected]

  • โšก Fun fact: Beyond my love for technology, I also have a passion for coffee and art. Sipping a cup of coffee while exploring new ideas is one of my favorite ways to relax.

  • โ˜• New club: In ZJU, I set up a new club named "PhiloCoffee" in ZJUI. Feel free to share issue if you have any idea! https://PhiloCoffee.github.io

  • Now, I am applying for the graduate schools in United States. Continuing my research and coursework, I want to concentrate on the possiblity of AI agent in Autonomous Driving.

Tony Wang's Projects

clip-study icon clip-study

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

ece385-digital-systems-lab icon ece385-digital-systems-lab

The goal of ECE 385 course is to teach students to design, build, and test/debug a digital system, which can be a 16-bit microprocessor, a dedicated logic core, or a system-on-a-chip (SoC) platform

ece449-mot-lm-project icon ece449-mot-lm-project

A four-person course project for Machine Learning course. We do investigation on the SOTA model together.

ece449-rmot-project icon ece449-rmot-project

ECE449 Project Fork of [CVPR2023] Referring Multi-Object Tracking, doing domain adaptation

ece470_robotics icon ece470_robotics

My course record in ECE470: Introduction to Robotics, uiuc course website: http://coecsl.ece.illinois.edu/ece470/

grounded-sam_study icon grounded-sam_study

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

howtouiuc icon howtouiuc

Guide for surviving at UIUC (under development)

llm-scientific-feedback icon llm-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

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