CV

Engineer Intern, Automotive IVI/ADAS

Qualcomm

Built an agentic RAG-driven failure triage pipeline processing 10K+ IVI/ADAS tests per day, blending LLM log summarization with LangChain, ChromaDB, and FAISS to deliver structured diagnostics for the Automotive IVI/ADAS team.

Research Assistant

North Carolina State University

Designed evidence-preserving perception middleware for autonomous driving, pairing JPEG and H.264 pipelines with NVENC/NVDEC acceleration and V4L2 capture while advancing trustworthy active-learning research for edge autonomy.

Research Assistant

Southern University of Science and Technology

Engineered a Carla-based remote simulation platform with an HTTP streaming backend for ROS sensor data, enabling multi-codec delivery and cutting remote driving latency from seconds to 50 ms using Python Flask, FFmpeg, and Docker.

Software Engineer Intern

JD.com — Jingdong AI Research Center

Implemented Java-based automated testing atop the JD JSF RPC framework for the Jingxiaozhi AI customer service system, reaching 100% API coverage and informing NLP feature deployments across two production cycles.

Ph.D.

North Carolina State University

Computer Science

M.S.

North Carolina State University

Computer Science

B.E.

Southern University of Science and Technology

Computer Science and Technology

Outstanding Undergraduate Thesis

Southern University of Science and Technology

A Fisheye Camera-Based Large Construction Vehicle Blind-spot Warning System

Meritorious Prize

COMAP's Mathematical Contest in Modeling

Meritorious Prize in the international MCM competition.

Bridging Data and Knowledge: A Neurosymbolic Framework for Reliable Network Analysis

2025 IEEE Global Communications Conference (Globecom)

FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems

2025 ACM/IEEE Symposium on Edge Computing (SEC)

AdaptAV: Continuous Adaption of Vision Models for Autonomous Vehicles Using Cloud-based Oracle

IEEE Vehicular Technology Conference (VTC) 2024-Fall