Yijie Drew Jin

Yijie Drew Jin

Shanghai University (SHU)

Hello there! My name is Yijie Jin (金义杰). I am currently an undergraduate student at the Department of Computer Science and Technology, School of Computer Engineering and Science, Shanghai University (SHU), supervised by Prof. Junjie Peng.

My English name is Drew. In English-speaking contexts, I prefer to use Drew as my middle name, so my full name can be Yijie Drew Jin. Feel free to address me by any of these names—whether it’s Yijie, Drew, or Jin—I’m happy to respond to any of them!

I am passionate about advancing Machine Learning Systems (MLSys), with a strong focus on Efficient Large Language Models (LLMs). Additionally, I used to explore traditional NLP and multimodal learning, particularly in the domain of Multimodal Sentiment Analysis (MSA). My first paper, which integrates these research areas (both MLSys and MSA), has been submitted to ACL 2025 and is currently under review, with a meta score 4 in ARR Dec. Round.

Recently,

  • I have been serving as an intern with Prof. Zhijie Deng at Shanghai Jiaotong University (SJTU), diving into Edge LLM deployment with all sorts of LLM reasoning & inference optimization.

🤓 Blogs

All my blogs are posted on Zhihu. Feel free to follow me: Drew.

I regularly update my blog with a variety of content, including experience sharing, technical coding tutorials, academic paper discussions, personal career insights, and casual life reflections—all written in a relaxed and conversational style.

🔥 News

  • 2025.03:  🎉🎉 I and our team win the First Prize (NO.5 Worldwide) in the Preliminary Round of 2025 ASC Student Supercomputer Challenge (ASC25).

📝 Publications

ACL 2025 (Under Review)
sym

Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs

Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng

Project

  • Efficiency and Effectiveness: 1/3 number of parameters without additional computational overhead compared with traditional MulTs.
  • Block-Sparse Attention (Triton Kernel) and All-Modal-In-One Fusion.

🎖 Honors and Awards

  • 2025.03 First Prize of ASC 25 (NO.5 Worldwide).
  • 2023.09 Shanghai University Academic Excellence Top Scholarship (Rank 15 in 1500).

📖 Educations

  • 2022.09 - (now), Undergrad., Shanghai University.

💬 Invited Talks

  • Still working on it.

💻 Internships

  • 2024.03 - (now), Research Intern, SJTU DengLab, Shanghai Jiaotong University, Shanghai, China.

⚽️ Hobbies

Sports

  • Soccer: Paris Saint-Germain (PSG), Neymar Jr.

  • Basketball: Golden State Warriors (GSW), Stephen Curry.

Music

Honestly speaking, I love music, especially American music.

Listen to albums instead of singles

  • Pop: Taylor Swift, Ed Sheeran, Justin Bieber, etc.

  • Hip-Hop: Kanye West (Ye), Eminem, etc.

  • Rock: Coldplay, etc.

  • R&B: Usher, The Weekend, Ariana Grande, etc.

  • Folk: Leonard Cohen, Bon Iver, etc.

  • Country: Alison Krauss, Alan Jackson, etc.

  • ELectronic: The Chainsmokers, Martin Garrix, Marshmello, etc.

  • CN Pop: Jay Chou, David Tao, Weibird, etc.

Movies

  • Science Fiction: Star Wars, Star Trek, Wandering Earth, Intesteller, Inception, The Matrix, etc.

  • Super Hero: All DC (Zack Snyder Directed), All Marvel (End Game and earlier pieces), Batman Series (Christopher Nonan Directed), Watchmen, etc.

  • Others: all of the classic movies.

Books

  • Science Fiction: The Three-Body Problem Trilogy, Foundation Series, Robot Series, Dune, Hyperion Cantos, etc.

  • Fantasy: ​A Song of Ice and Fire, Harry Potter, The Chronicles of Narnia, etc.

  • Chinese Fantasy: Battle Through the Heavens, Dragon Raja, Shanghai Fortress (the novel, not the movie), etc.

  • Others: The Century Trilogy, and most of the classic books.