CV
EDUCATION
Sichuan University (SCU)
B.S. in Cyber Science and Engineering
2022 - 2026
Chengdu, China
- GPA: 3.86/4.0; Rank: 1/161.
- Courses: Introduction to Artificial Intelligence (95), Linear Algebra (94), Discrete Mathematics (94), Big Data Analysis (93), Calculus (92), Network Attack and Defense Technology (91), Cybersecurity Technology (90), etc.
- Service: Class President, Reaserch Assistant,Student Club President, etc.
- Honors: Outstanding Student Award (23FA, 24FA), Second-Class Scholarship (23FA, 24FA).
PROJECTS
qqgjyx.com/mheatmap 
- A Python package for advanced heatmap visualization and matrix analysis, featuring mosaic heatmap, confusion matrix post-processing, and spectral reordering capabilities.
JayLon1022/llmDataG
- High-Quality Tabular Data Generation with Large Language Models
JayLon1022/GCN4ETD
- A Python method of Encrypted Traffic Detection based on Graph Convolutional Networks.
- Replication Study of Paper “GCN-ETA: High-Efficiency Encrypted Malicious Traffic Detection”
PUBLICATIONS
[TBD] Juntang Wang, Hao Wu, Runkun Guo, Yihan Wang, Dongmian Zou, Shixin Xu. "Mixing Configurations for Downstream Prediction." 2025 Conference and Workshop on Neural Information Processing Systems (NeurIPS 2025). 1(1).
Hao Wu, Jiangchuan Chen, Wengang Ma, Ping He, Xiaolong Lan, Tao Li and Junjiang He. "LLM-Based Immune Detection Method for Unknown Network Attacks in ICS Under Few-Shot Conditions." 2025 International Conference on Intelligent Computing (ICIC 2025).
RESEARCH EXPERIENCE
LLM-Based Immune Detection Method for Unknown Network Attacks in ICS Under Few-Shot Conditions
Bachelor Research @ SCU, PI: Prof. Junjiang He
Oct'24 - Apr'25
Chengdu, China
- Investigated spatial analysis capabilities of LLMs to guide antibody detector generation in NSA.
- Developed a method enabling effective detection of unknown attacks under few-shot conditions.
- Authored a research paper received in 2025 Internation Conference On Intelligent Computing (ICIC).
Mixing Configurations for Downstream Prediction
Intern Research Assistant @ DKU, PI: Prof. Shixin Xu, Prof. Dongmian Zou
Dec'24 - Dec'25
Kunshan, China
- Proposed a prompt-based LLM few-shot feature fitting method.
- Developed an LLM-based immune detector generation method.
- Produced 1 CCF-A paper.
A Bridging Anomaly Detection and Traceback System for Multi-source Heterogeneous Data in Smart Grids
National College Student Innovation and Entrepreneurship Competition, PI: Hao Wu
Oct'23 - Oct'24
Chengdu, China
- Implemented negative selection algorithm with biological immune bridging for antibody mapping concatenation.
- Enabled bridging detection and anomaly tracing of multi-source heterogeneous data in power grid environments.
- Deployed a prototype system for industrial applications.
- Produced 1 patent as side product in the early stage.
Competitions
National Second in CUMCM 2023
Optimal Design of Heliostat Field Based on Nonlinear Programming
- A Python method of Encrypted Traffic Detection based on Graph Convolutional Networks.
- Replication Study of Paper “GCN-ETA: High-Efficiency Encrypted Malicious Traffic Detection”
Provincial Second in CUMCM 2024
Movement Analysis of Bench Dragon Based on the Bisection Method
- A Python method of Encrypted Traffic Detection based on Graph Convolutional Networks.
- Replication Study of Paper “GCN-ETA: High-Efficiency Encrypted Malicious Traffic Detection”
SKILLS
Programming: Python · MATLAB · Java · C/C++ · Javascript · PHP Development: MySQL · HTML/CSS Cybersecurity: Sangfor Certified Security Associate - Security (SCSA-S) Other Tools: LaTeX · Markdown · AIGC tools Languages: English (Fluent) · Mandarin (Native)
- Interests: Music, ACG, gym.
