- I am so proud that I reported a bug (issue #11978) to vLLM, and my fix has been merged into the main branch (PR #11979). Now, I am a small contributor to vLLM. 😎
- About to be filled.
🎓 Education
Shanghai University
B.E. in Artificial Intelligence (School of Computer Engineering and Science)
09/2021 - 06/2025
GPA: 3.82/4.0 (93.94/100)
Ranking: 1/52 (1/31 in class)
Key courses: Calculus(94), Linear Algebra(100), Object Oriented Programs(94), Probability and Statistics(95), Data Structure(97), Pattern Recognition(90), Computer Vision(91), Operations and Optimization(88), Data Mining and Knowledge Processing(94), Mathematical Logic(95), Principles and Techniques of LLMs(95), Principle and Algorithm of AI(93)
🔬 Research & Internship
AI intern (NLP focus) in Huawei
Location: Huawei Lianqiu Lake R&D Center, Shanghai
12/2024 - 03/2025
SHU Brain-like Computing Center Lab
AI for Recognizing Preference
Advisor: Prof. Huiran Zhang (Shanghai University)
Project undisclosed
04/2024 - 09/2024
- Proposed a novel ERP composite formula for analyzing human preferences.
- Achieved effective classification of preferences using AI methods combined with the developed formula.
- Authored a paper as the first author, which is under review.
Research Intern in Westlake University
Rule Discovery in Physical Data/Video
Advisor: Prof. Tailin Wu (Westlake University), Prof. Sebastian Musslick (Brown University)
Project undisclosed
07/2023 - 06/2024
- Developed a transformer-based model and programmed to experiment with symbolic regression tasks.
- Modeled and transferred symbolic regression tasks to the domain of videos.
- Explored the discovery of physical system patterns from videos to empower scientific discovery tasks.
Research in Shanghai University
Video Frame Interpolation with PVT
Advisor: Prof. Hang Yu (Shanghai University)
04/2023 - 06/2023
- Reviewed relevant literature according to task requirements and established a PVT-based encoder U-net model.
- Wrote code and conducted experiments, achieving state-of-the-art results in terms of SSIM performance.
💻 Projects
- Proposed and implemented a method to quickly align pre-trained models from different modalities.
- Designed a twin neural network similarity module to align pretrained models with varying embedding dimensions.
- Achieved rapid model alignment between text and image modalities with minimal training on a standard image classification dataset, rather than requiring a large "image-description" dataset typical for models like CLIP.
- Experimentally demonstrated the project's ability to align quickly with minimal GPU requirements and satisfactory performance.
- Reproduced and experimented with the TextCNN model.
- Performed tokenization and encoding of sentence content, followed by padding or truncating sentence lengths.
- Implemented word embedding and utilized multiple convolutional kernels of varying sizes for feature extraction, pooling, and final classification through fully connected layers.
- Developed a network model based on CNN for video frame feature extraction and LSTM for sequential frame feature computation.
- Compared the classification performance of KNN and ANN after freezing the feature extraction model parameters.
- Achieved 92% accuracy on a public dataset, comparable to results from another study using a non-public dataset.
- Independently designed and coded a system utilizing VGG16 for signature feature extraction.
- Achieved 100% accuracy on the CEDAR dataset using Siamese neural networks for classification.
- Developed frontend-backend interaction programs enabling the utilization of training results on web platforms.
🏆 Awards
- ICPC (International Collegiate Programming Contest) Asia Regional Contest (Hefei) Bronze Medal 🥉 11/2023
- ICPC (International Collegiate Programming Contest) Asia Regional Contest (Nanjing) Bronze Medal 🥉 11/2022
- ASC Student Supercomputer Challenge National Second Prize 🥈 02/2024
- Group A of C/C++ Division of Blue Bridge Programming Cup National Third Prize 🥉 06/2023
- Group A of C/C++ Division in Shanghai Division of Blue Bridge Programming Cup First Prize 🥇 04/2023
- CCPC (China Collegiate Programming Contest) Shanghai Programming Contest Silver Medal 🥈 10/2022
📚 Papers
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components.
Under Review
- Authors: Siyuan Li, Xiangze Meng, Yijian Yang, Yiwen Xu, Yunfei Wang, Chenghu Qiu, Hanyi Jiang, Pin Wu, Shengbo Chen, Xiao Wei, Hao Wang, Lan Ni, Huiran Zhang.
Research advanced in offline handwritten signature verification.
Applied and Computational Engineering, 6(1), 1244-1252. DOI: 10.54254/2755-2721/6/20230653
- Co-authors: Yuhang Guo, Siyuan Li (Co-first author), Jinxuan Wu
🛠️ Skills
- Programming languages: Python (Advanced), C++ (Proficient), Matlab (Familiar)
- Software: Git, Office Word, LATEX, Markdown, Remote SSH of VSCode
- AI-related skills: Pytorch (Advanced), Transformers (Proficient), LLM (General)
🌟 Scholarships & Honors
- First-class Academic Scholarship 11/2023 & 11/2022
- Leadership Scholarship 11/2023 & 11/2022
- Innovation Scholarship 11/2023 & 11/2022
- Loving Heart Volunteer Scholarship 11/2023 & 11/2022
- Outstanding Student of Shanghai University 11/2023 & 11/2022
- Top 100 Outstanding Students of Shanghai University 05/2023
🤝 Extracurricular & Volunteer Activities
New Media Center, School of Computer Engineering and Science
Chairman
01/2022 - 01/2023
- Managed content publication on the School of Management's official WeChat account and coordinated daily tasks.
- Organized and managed recruitment presentations, student representative meetings, and other related affairs.
ByteDance
Campus Ambassador
03/2022 - 06/2022
- Assisted in promoting spring recruitment and summer internships.
- Distributed local push manuals and internal push codes.
Volunteer time: 100h+ ⏳