Hi, I’m Erdong (陈尔栋), and you can also call me Anthony. I was a BS(2020-2023) / MS(2024) student at Washington University in St. Louis where I majored in Computer Science. My research interest includes Computer Vision (CV), Natural Language Processing (NLP), and Mobile Health (mHealth). Specifically, I am engaged in the fields of visual understanding, multi-modal studies, and gait analysis.
Besides, I am good at delivering mobile applications. I’ve been participating in research studies at Dr. Greenberg’s Lab in WashU Med School to build a mHealth application called SynapTrack that evaluates and tracks disease severity for degenerative cervical myelopathy using gait analysis, dexterity tests, and stability tests.
Research
Exploring Semantic Coexistentence in Open-Vocabulary Segmentation
Our work uses pretrained vision-language model and referral segmentation architecture that exploits semantic coexistence in the joint visual-linguistic space.
Jul 11, 2024
Image Segmentation
Vison-Language Model
CLIP
Instruction-aware Visual Feature Extraction for Multimodal Large Language Model
Our work uses pretrained vision-language model and referral segmentation architecture that exploits semantic coexistence in the joint visual-linguistic space.
Jan 1, 2025
Visual Instruction Tuning
Efficient Training
iOS mHealth APP: SynapTrack for Cervical Myelopathy
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SynapTrack aims to evaluate and track disease severity for degenerative cervical myelopathy (DCM) using accelerometers, gyroscopes, and screen touches. We uses the data collected from iPhone to see impairment in dexterity, gait, and balance, which are particularly common symptoms of DCM.
Sep 14, 2024
mHealth
Neurosurgery
DCM
Gait Analysis
Data Science
LLM generated Code Detection based on Probability Curve
Zero-shot detection on AI-generated code and its generalization. Our work proved the effectiveness of the method throughout LLMs and found comment deletion attack is effective to the method.
May 30, 2024
AGC Detection
LLM
Claude-3
GPT-4-0314
Llama-3
APPs
iOS APP - Camos
Camos (Capture the moments of Sound) is a social app that blends music and maps. With Camos, you can drop music pins at any location you’ve visited, sharing the songs that defined your experience. You can pick up music pins left by others, uncovering the memories and melodies they’ve tied to each spot.
Dec 16, 2023
Life-style
iOS
Social
Music
Map
iOS APP - PixBit
PixBit is a life-style app that combines goal tracking and ai-drawing. Users set goals and receive daily motivation through unlocking portions of their personalized AI-generated art piece.
Jul 12, 2023
AI-drawing
Lifestyle
Motivation
iOS
Swift