Curriculum Vitae

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Education

Feb. 2024 – Present
Newark, DE, USA

University of Delaware

Ph.D. in Computer Science

Advisor: Prof. Guangmo Tong

Research Area: Generative AI, Deep Learning, Combinatorial Optimization, Graph Learning, Computer Vision

GPA: 3.97/4

Relevant Courses: Machine Learning, Artificial Intelligence, Algorithms, Computer Vision, Operating Systems.

Sep. 2018 – Jun. 2022
Changsha, China

Central South University

B.Sc. in Electrical Engineering

Dean's ListFirst-Class Scholarship

Advisor: Prof. Hui Liu

GPA: 92.45/100

Academic Experience

Feb. 2024 – Present
Newark, DE, USA

University of Delaware

Graduate Research Assistant – Computational Data Science Lab

Advisor: Prof. Guangmo Tong

Research Area: Vision-based graph property detection, Set function learning

Responsibilities: Developed a vision-based framework for graph property detection (Hamiltonian cycle, planarity, claw-freeness), achieving state-of-the-art performance vs. Graphormer. Published the first comprehensive survey on set function learning (ACM Computing Surveys).

Sep. 2024 – Present
Newark, DE, USA

University of Delaware

Teaching Assistant & Undergraduate Research Supervisor

Responsibilities: Led recitations and grading for CISC621 (Algorithm Design) and CISC320 (Introduction to Algorithms). Supervised undergraduate researchers in the Computational Data Science Lab.

Jan. 2022 – Aug. 2023
Changsha, China

Central South University

Research Assistant – Institute of Artificial Intelligence & Robotics

Advisor: Prof. Hui Liu

Research Area: Multi-objective optimization, Robot-driven manufacturing, Bioinformatics

Responsibilities: Applied multi-objective optimization to high-speed train head-shape design, achieving 15.6% air resistance reduction. Developed a clustering-based combinatorial auction for multi-robot task allocation (Recipient of Excellent Bachelor's Thesis Award). Contributed to Mendelian randomization studies on gut microbiome–COVID-19 causality (published in Frontiers in Immunology, Journal of Oral Rehabilitation).

Feb. 2020 – Apr. 2021
Changsha, China

Central South University

Research Assistant – Digital Prototype and Digital Twin Lab

Advisor: Prof. Bing Yi

Research Area: Topology optimization of high-speed train body structures

Responsibilities: Conducted structural topology optimization and lightweight design for high-speed train body structures. Co-filed a patent on related innovations.

Competencies

LLMs & GenAI

PromptingRAGLoRA/QLoRARLHF/DPOEvals (hallucination/grounding)

ML & Deep Learning

Transformers (BERT, Graphormer, ViTs)Diffusion modelsGANsVAEsGNNsCNNsRNNsReinforcement Learning

Algorithms & Optimization

Graph algorithmsDynamic programmingMeta-heuristics (differential evolution)

Data Science

Statistical modelingCausal inferencePCAt-SNEEDAPredictive modeling

Languages & Tools

Python (PyTorch, TensorFlow, scikit-learn)CUDAC++RSQLMATLABDockerGitAWSLaTeX

Language Proficiency

English (Fluent)Chinese (Native)