About

Hi👋, welcome to visit my academic website! I am a Ph.D. candidate at Institute of Computing Technology(ICT), Chinese Academy of Sciences(CAS), majoring in Computer Science and Technology. I work on Large Language Model Reasoning and Graph Data Mining.


Interests
  • Large Language Model
  • Graph Data Mining
  • Adversarial Attack
Education
  • Ph.D Candidate, 2024-202X

    Institute of Computing Technology

  • B.S. in Computer Science, 2020-2024

    North China University of Technology

Experience

 
 
 
 
 
Microsoft Software Technology Center (STC) Asia
Software Engineer Intern
May 2024 – Present Beijing, China
 
 
 
 
 
Research Institute of Tsinghua University in Shenzhen
Machine Learning Engineer Intern
August 2023 – February 2024 Beijing, China
 
 
 
 
 
Institute of Computing Technology,Chinese Academy of Sciences
Guest Student
August 2023 – Present Beijing, China

Accomplish­ments

NCUT
National Scholarship
PaddlePaddle,Baidu
Active Open-source Contributor of Paddle Neural Network

Publications

🔍 Quickly discover relevant content by filtering publications.
(2024). Graph Descriptive Order Improves Reasoning with Large Language Model.

PDF

(2024). Frequency-Importance Gaussian Splatting for Real-Time Lightweight Radiance Field Rendering. Multimedia Tools and Applications(JCR Q2, CCF-C).

PDF DOI

(2024). Frequency-Importance Gaussian Splatting for Real-Time Lightweight Radiance Field Rendering. Multimedia Tools and Applications(JCR Q2, CCF-C).

PDF DOI

(2023). Unsupervised one-point attack based on differential evolution. AANN2023.

DOI

(2023). 面向游戏与动漫的黑白漫画风格非真实感实时渲染方法. 系统仿真学报(CCF-T1).

PDF DOI

Projects

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基于TSSW 时空聚类、FCNN 和RNN 的时空大数据分析系统
小学期课设项目, 分析、处理、识别由中国移动提供的OD数据
自动驾驶与智能交通领域中协同感知算法研究与实践
协同感知领域的背景介绍和DiscoGraph的论文解读
基于数据特征的无监督对抗攻击方法
本方法通过控制扰动的L0和L∞实现对攻击扰动点数和幅度的限制以达到稀疏攻击。本方法利用特征提取和主成分分析方法对数据集各坐标进行降维,使用无监督算法搜索数据集中敏感点的坐标。然后根据频率定理破坏敏感点的高频信息生成对抗样本
Unix V6源码剖析
该项目基于XV6系列OS教学计划, 旨在让同学们阅读并理解Unix内核源码

Recent & Upcoming Talks

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