Chuyan Zhou

Junior Student in CS Major ShanghaiTech University
I’m currently an undergraduate student at ShanghaiTech University majoring in Computer Science & Technology. I am also an undergraduate researcher in the field of NLP, with a focus on LLMs and related areas. Here is my Curriculum Vitae.

Research Interest

Currently, I am most interested in these research topics:

  • Efficient LLMs, such as
    • Parallel Decoding (Speculative/Jacobi/…)
    • Quantization,
    • KV Cache Compression/Pruning,
    • Distillation…
  • Reinforcement Learning & Post-training for LLMs
  • Diffusion-related Methods for LLMs (for NAT-ish Decoding)
  • Combination of Connectionist and Probabilistic/Symbolic Methods for NLP
  • AI for Science, especially AI for Biology where the bold items are which I have been working on. Generally, I am interested in researches in fields involving Natural Language Processing, Machine Learning Systems & Theories, Reinforcement Learning, AI for Biology and Computer Vision.

Language Skills

  • English: Fluent, TOEFL iBT 101/120 (2023.08.26), GRE 331/340 (2025.03.08, V161/Q170)
  • Japanese: Fluent, JLPT N2 170/180 (2024.07)
  • Mandarin: Native

I post blogs here for research, notes and random things such as my traveling: 123 Photo of Tateyama Mountains. Shown in Toyama City, Toyama Prefecture, Japan, in 2025.01.05.

Publications

Coming soon...

Recent Posts

Read More
Featured Image

Paper Reading: Pushdown Layers

 The paper reading note for Pushdown Layers.
2025-03-14
8 min read
Paper Reading
2025 Paper Reading
Featured Image

Facial Keypoint Detection by Regression & Pixelwise Classification

 From IMM Face Database (regression) and iBUG dataset (Gaussian heatmap & Pixelwise classification). (CS280 FA22 Project 5 & CS180 Final Project 1/3)
2024-12-04
9 min read
Projects
UCB FA24 CS180 Computer Vision
Featured Image

Rectified Flow, explained

 A simple explanation for the Rectified Flow framework.
2024-11-20
4 min read
Projects , Paper Reading
UCB FA24 CS180 Computer Vision , 2025 Paper Reading

CS180: Project Webpage Catalog

 The Catalog of Project Showcase Webpages for 2024 Fall UC Berkeley COMPSCI 180 Computer Vision
2024-09-06
1 min read
Projects , Homework
UCB FA24 CS180 Computer Vision

EE229 Lecture Note 2

 Definition of Many Entropies
2024-09-02
2 min read
Notes
UCB FA24 ELENG 229 Info Theory and Coding

Research Experience

Undergraduate Researcher

2023.10 - Present

  • (Semantic Dependency Parsing w/ ML) (2025.2 - Present)

    • Built some baselines and conducted experiments for the baseline model.
    • Worked in a part of paper writing.
    • Coming soon…

  • Other Contributions

    • (2023.12-2025.1, as a main contributor) Developed a binary classification and regression model to predict packaging efficiency leveraging ESM Encoders for synthesis (inpainting) of gene sequence insertions into AAV2 caspid proteins—with the motif for gene therapy vectors.
    • (2024.9-2025.2, as the primary contributor) Investigated the feasibility of a Jacobi decoding method in a continuous fashion; further work (e.g. parallel continuous CoT) is under investigation.

More Projects

Reconstruction and Re-evaluation of SFCNN for PLA Scoring

COMPSCI 177 Research Project · ShanghaiTech University
2025.4 - Present
  • (2025.4) Constructed a PyTorch implementation of the model architecture, training, and evaluation of SFCNN (Scoring Function 3D Convolutional Neural Network) for protein-ligand binding affinity prediction.
  • (2025.4-6, expected) Developed a novel benchmark for similar models to allow inference directly on the 3D structure of protein-ligand complexes instead of on decoupled protein and ligand structures.

LLM-powered Lecture Generation

COMPSCI 194-196 Research Project · University of California, Berkeley
2024.8 - 2024.12
  • (2024.8-9) Independently developed the backend framework of the lecture generation pipeline using FastAPI as a deployable web service. This backend includes asynchronous task execution via multithreading, task management via an API powered by Redis databases, and a metadata system for managing generated data.
  • (2024.9-10) Worked as the main developer to integrate the respective model components on the backend framework.
  • (2024.10-11) Developed an additional LLM-powered QA agent based on the backend that interacts with LLMs using a long context of generated lectures and a RAG system to dynamically index grounding sources (e.g., textbooks).