Ziyang Liu

School of Future Science and Engineering, Soochow University (Suzhou, Jiangsu) Tsinghua University Qian Xuesen Class & X Institute Joint Training Program (Shenzhen, Guangdong) Hometown: Hefei, Anhui E-mail: ziyannn@yeah.net Contact: +86 13721121001 (WeChat)

Academic and Career Interests: As an undergraduate student graduating in 2026, I am seeking to pursue graduate studies (Master's/Ph.D.) in Artificial Intelligence, Multimodal Analysis, and Statistical Analysis. I warmly welcome discussions with professors and industry professionals. If you are interested in my research direction or experience, please feel free to contact me via email or WeChat.

Personal Introduction

I am an undergraduate student majoring in Statistics at Soochow University and a member of the Tsinghua University Qian Xuesen Class & X Institute Joint Training Program. My research interests primarily focus on artificial intelligence and multimodal sentiment analysis, with particular attention to AI applications in social innovation. In academic research, I have published papers in CCF-A/B conferences and obtained multiple patents. Additionally, I actively participate in various mathematical modeling competitions, dedicated to combining theoretical knowledge with practical applications.

Education

Undergraduate: School of Future Science and Engineering, Soochow University Statistics Major, 2022.09-2026.06

• GPA: 3.71/4.0, Major Core Course GPA: 3.87/4.0, Top 20% in Major

• Key Courses: Mathematical Analysis, Advanced Algebra, Applied Multivariate Analysis, Probability Theory and Mathematical Statistics, Python Programming, Mathematical Modeling and Software

• English Proficiency: CET-6

Joint Training: Tsinghua University Qian Xuesen Class - X Institute, 2024.06-2027.06

• Research Direction: Social Innovation + AI

• Key Programs: ESRT, ORIC, SURF See Qian Class Training Program

• Mentors: Min Tang (Former State Council Counselor), Xiaolei Zuo (Chief Advisor, Galaxy Securities)

Research Projects

Multimodal Sentiment Analysis Project, School of Computer Science and Technology, Soochow University (Project Leader, 2024.02-Present)

• Research Focus: Utilizing multimodal data (text, video, audio) for sentiment analysis, with special attention to robustness improvement in cases of partial modality missing

• Key Contribution: Proposed the Factor-based Semantic Recovery Framework (FSRF), achieving SOTA performance on multiple benchmark datasets

• Applications: Social media sentiment analysis, intelligent customer service, user experience analysis

Student Innovation Project: HeartSync - AI-Powered Emotional Support System for Left-behind Children (Project Leader, 2024.06-2024.12)

• Project Overview: Development of AI-based personalized emotional support and psychological counseling system for left-behind children

• Achievements: Won the 2024 X Institute Excellence Project Award and National College Student Innovation Competition Third Prize

Tsinghua University - Shenzhen X Institute ESRT Project: Research and Implementation of AI Agent System for Intelligent Interaction (Project Leader, 2024.10-Present)

• Project Content: Development of intelligent agents supporting text and voice interaction, achieving task automation and multimodal content generation

• Technical Implementation: Participated in developing WeChat chatbot "Giiso_Wechat", integrating various APIs for intelligent interaction

Published Papers

1. ICME 2025: "FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis" (CCF-B, First Author)

2. CVPR 2025: "MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation" (CCF-A, Second Author)

3. Pattern Recognition: "Hierarchical Factorization-Guided Self-Distillation for Incomplete Multimodal Sentiment Analysis" (JCR Q1, First Author, Under Review)

4. ICIRDC 2024: "Establishment and solution of a multi-stage decision model based on hypothesis testing and dynamic programming algorithm" (Click here to view) (EI, First Author)

Patents

• Utility Model Patent: "AI-Based Portable Glasses" (First Inventor, Granted, Patent No: CN222420684U) (View Patent Certificate)

• Invention Patent: "An AI-Driven Sentiment Analysis System and Method" (First Inventor, Under Substantive Examination, Application No: 2024119020975) (View Examination Notice)

Internship Experience

1. London South Bank University (Visiting Student, 2022.12-2023.01): Participated in Data Science and AI Projects

2. Tsinghua Shenzhen International Graduate School (Research Intern, 2025.01-2025.02): Assisted in integrating GeWechat with Restful API, developing customized chatbots with text and voice interaction capabilities

3. ByteDance (Training Program, 2025.02-2025.04): Participated in AI-driven memoir writing assistance project for the elderly

Competition Awards

• 2024 National College Student Innovation Competition: National Third Prize (Team Leader) (View Certificate)

• 2024 Huashu Cup China Undergraduate Mathematical Contest in Modeling: First Prize (Team Leader) (View Certificate)

• 2024 China Undergraduate Mathematical Contest in Modeling: Jiangsu Province First Prize (Team Leader) (View Certificate)

• 2024 Mathematical Contest in Modeling (MCM): Honorable Mention (Team Leader) (View Certificate)

• 2024 National College Student Statistical Modeling Competition: Jiangsu Province Third Prize (Team Leader) (View Certificate)

• 2023 National Computer Rank Examination: Level 2 (MS Office Advanced Applications) (View Certificate)

Technical Skills

• Programming Languages & Tools: Python (proficient in data analysis and automation scripts), common mathematical modeling software (MATLAB, R, etc.)

• Data Analysis & Visualization: Proficient in Excel, Python (Pandas, Matplotlib, etc.) for data cleaning, visualization, and analysis; mastery of basic data mining and statistical methods

• Algorithms & Mathematical Foundation: Solid understanding of linear algebra, calculus, probability statistics, and their applications in algorithm implementation

• Machine Learning & Deep Learning: Familiar with common machine learning algorithms (regression, classification, clustering, dimensionality reduction) and deep learning frameworks (TensorFlow, PyTorch, scikit-learn); capable of model building and training using CNN, RNN, Transformer networks

• Large Models & Multimodal: Understanding of mainstream large language models (GPT, BERT, etc.) and multimodal models in text, image, and speech applications; project experience in natural language processing, computer vision, and generative tasks

• Model Application & Deployment: Proficient in data preprocessing to model fine-tuning workflow, familiar with Hugging Face platform, capable of model evaluation and inference deployment

• Language Skills: Chinese (Native), English (Fluent), capable of technical documentation reading and project communication in multilingual environments

Outstanding Course Grades

• Mathematics Courses:

  • Mathematical Analysis III: 94/100
  • Probability Theory and Mathematical Statistics I: 96/100
  • Complex Function Theory II: 95/100

• Statistics and Data Analysis Courses:

  • Qualitative Data Analysis: 95/100
  • Applied Regression Analysis: 96/100
  • Applied Multivariate Analysis: 94/100
  • Statistical Computing and SAS Software (Bilingual): 95/100

• Computer Science and Programming Courses:

  • Computer Information Technology (Computational Thinking): 94/100
  • Python Programming: 94/100

• Interdisciplinary Courses:

  • Introduction to Finance: 94/100
  • Taoist Culture and Wellness Wisdom: 96/100

Click here to download CV
Click here to view my transcript
Click here to view my class ranking certification