Hello! I’m Juekai Lin (zh: 林觉凯), an undergraduate at the School of Computer Science and Technology, Tongji University, majoring in Software Engineering with a focus on Machine Intelligence. My research interests lie in Multimodal Intelligence, Large Language Models and Time Series Modeling.
Over the past one and a half years, I have been actively conducting research at the MAIL-TAII (Multi-agent Artificial Intelligence Laboratory and Trustworthy Artificial Intelligence Institution), jointly affiliated with Tongji University and East China Normal University. I have had the privilege to be advised by Assoc. Prof. Bo Jin and Asst. Prof. Wenhao Li, and to collaborate closely with senior colleague Yunyang Cao. I am deeply grateful for their guidance and support, which have greatly enriched my undergraduate research experience and helped me build a solid foundation for pursuing advanced studies in AI.
During my undergraduate studies, I achieved a comprehensive ranking of 9/197 (top 5%), which qualified me for postgraduate recommendation. I am expected to pursue my Master’s degree in Artificial Intelligence at the Digital Media Computing & Design Lab (DCD Lab), Zhejiang University, under the supervision of Researcher Wenqiao Zhang (ZJU 100 Young Professor).
Currently, I am undertaking an internship at the Shanghai AI Laboratory (Shanghai AI Lab), where I work with the OpenDataLab team (OpenDataLab) under the supervision of Dr. Lijun Wu.
🔥 News
- 2025.09: 🎉🎉 One paper passed the first-round review of AAAI 2026.
- 2025.07: 🥈 Won the Second Prize at the 18th China Undergraduate Computer Design Competition.
- 2025.05: 🎉 One paper was accepted by ECML-PKDD 2025.
📝 Publications
Interpretable Hybrid-Rule Temporal Point Processes
Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin
MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
Yunyang Cao, Juekai Lin, Wenhao Li, Bo Jin
🎖 Honors and Awards
- 2025.11 🥇 First-class Scholarship, Outstanding Undergraduate Student, Tongji University
- 2025.07 🥈 Second Prize, 18th China Undergraduate Computer Design Competition
- 2025.05 🥈 Second Prize, 17th Shanghai Collegiate Computer Application Ability Competition
- 2025.01 🥉 Third Prize, Tongji Cup General Education Paper Competition
- 2024.12 🥈 Second Prize, Shanghai Division of National Mathematical Contest in Modeling
- 2024.12 🥈 Second-class Scholarship, Outstanding Undergraduate Student, Tongji University
- 2023.12 🥇 First-class Scholarship, Outstanding Undergraduate Student, Tongji University
- 2023.11 🥈 Silver Award, Tongji University Innovation and Entrepreneurship Competition
- 2023.05 🥈 Second Prize, Tongji Cup General Education Paper Competition
📖 Educations
- 2022.09 – 2026.06 (expected), B.Eng. in Software Engineering (Machine Intelligence Track)
School of Computer Science and Technology, Tongji University
Supervised by Assoc. Prof. Bo Jin and Asst. Prof. Wenhao Li
🧩 Projects
SuiAn ZhiKong: Intelligent Tunnel Safety Inspection System
This project focuses on tunnel disease detection and safety monitoring, integrating computer vision and 3D modeling methods:
- Applied image stitching techniques to construct panoramic tunnel views.
- Utilized multiple YOLO-based models for detecting various types of tunnel defects.
- Built interactive 3D tunnel models using the PyVista library for visualization and analysis.
Achievements:
- Selected as a Provincial Undergraduate Innovation Project (2025)
- 🥈 Second Prize, Algorithm Application Track, 17th Shanghai Collegiate Computer Application Ability Competition (Provincial level)
- 🥈 Second Prize, Algorithm Application Track, 18th China Undergraduate Computer Design Competition (National level)
SmartPulse: Intelligent Medical Auxiliary Diagnosis Platform
This project develops an AI-driven medical diagnosis system combining interpretable temporal modeling and patient stratification:
- Applied Clock Logic Neural Network (CLNN) for interpretable temporal event modeling.
- Used LSTM + K-Means clustering to perform patient stratification.
- Built a full-stack system with Flask (backend) and Vue (frontend), enabling real-time medical assistance.
Achievements:
- Selected as a University-level Undergraduate Innovation Project (2024)
- 🥈 Second Prize, Big Data Track, 18th China Undergraduate Computer Design Competition (National level, extended by other teammates)
Deep Learning-based Battery Health Evaluation and Prediction
This project represents my first participation in a research-oriented development project, focusing on battery health assessment and prediction:
- Implemented CNN, RNN, and LSTM models to evaluate and predict battery performance.
- Designed an interactive visualization interface using Vue.js for result presentation.
Achievements:
- Ranked 1st place among projects of the same level in the 2023 Shanghai Innovation and Entrepreneurship Program.
- 🥈 Silver Award, Tongji University Innovation and Entrepreneurship Competition .
💻 Internships
- 2024.06 – 2025.09, MAIL-TAII, Tongji University & East China Normal University, Shanghai, China
- 2025.11 – present, Shanghai AI Laboratory (Shanghai AI Lab), Shanghai, China