Ziyang Liu
|
School of Future Science and Engineering, Soochow University (Suzhou, Jiangsu) |
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
Multi-Agent Reinforcement Learning Project, Department of Electronic Engineering, Tsinghua University (Core Member, 2025.04-2025.06)
Project Description: Focus on collaborative optimization and reinforcement learning of multi-agent systems under complex tasks
Main Work: Construct multi-agent interaction framework, design task environments and implement coordination mechanisms between agents
Technical Contribution: Combined Test-Time Reinforcement Learning (TTRL) for policy training, effectively improving system generalization performance
Research Achievements: Independently completed code module development and debugging, assisted in structural analysis and convergence derivation of TTRL theoretical mechanisms
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
ICME 2025（Oral）: "FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis" (CCF-B, First Author) (Click here to view)
CVPR 2025: "MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation" (CCF-A, Second Author)
Pattern Recognition: "Hierarchical Factorization-Guided Self-Distillation for Incomplete Multimodal Sentiment Analysis" (JCR Q1, First Author, Under Review)
ICIRDC 2024: "Establishment and solution of a multi-stage decision model based on hypothesis testing and dynamic programming algorithm" (EI, First Author) (Click here to view)
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
ByteDance (Training Program, 2025.02-2025.04): Participated in AI-driven memoir writing assistance project for the elderly (Function Introduction Video)
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 (Function Demo Video)
London South Bank University (Visiting Student, 2022.12-2023.01): Participated in Data Science and AI Projects
Competition Awards
2025 Mathematical Contest in Modeling (MCM): Meritorious Winner (Team Leader)
2025 Blue Bridge Cup Python Group A: Jiangsu Province Second Prize
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)
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
🌍 Visitor Map
Welcome visitors from around the world! Circle size represents visit frequency from each region
Data updates may be delayed | Powered by IP-API & Leaflet