Me
Daoze Zhang (张道泽)
College of Computer Science, ZJU

About

Hello, my name is Daoze Zhang and I am currently pursuing a Master's degree in Zhejiang University, fortunately advised by Prof. Yang Yang in DCD Lab. My research interests include deep learning and data mining in the healthcare field and for time series analysis. Additionally, I am actively exploring more cutting-edge technologies in the field of large language models and multimodal language models. If you are looking for any form of academic cooperation, please feel free to touch me. Futhermore, I am currently seeking job opportunities in industry. Please do not hesitate to contact me if you have any leads. Thank you!

Research Topics

Machine Learning for Healthcare
Time Series Analysis
(Multimodal) Large Language Models
Recommendation System

Education

Zhejiang University
  • Academic Master, AI Institute, College of CS, 26'
  • Bachelor, Computer Science, College of CS, 23'
Xi'an Tieyi High School
  • Hua Luogeng Science Elite Class, 19'

Milestone

Oct. 2024
Awards
National Scholarship
as 1st place among Masters of the AI Institute
May. 2024
Research
1 paper accepted by SIGKDD 2024 (first author)
1 paper posted on arXiv preprint (second author)
Sept. 2023
Research
1 paper accepted by NeurIPS 2023 (first author)
1 paper accepted by NeurIPS 2023 (co-first author)
Jul. 2023
Awards
Outstanding Undergraduate Graduate of Zhejiang Province
Outstanding Undergraduate Graduate of ZJU
May. 2022
Research
As the leader of the SRTP National Innovation Project, our work was rated as “Excellent” (the highest level)
Jul. 2021
Awards
Zhejiang Provincial Government Scholarship
First-class Scholarship of ZJU
Outstanding Student Scholarship of CTZ Edu Fdn
Sept. 2020
Admission
Admitted to the Computer Science major at ZJU
Sept. 2019
Admission
Admitted to the Qiushi Science Class (Physics) at Chu Kochen Honors College, ZJU

Selected Honors

  • National Scholarship, 2024 (1st place among Masters of the AI Institute, Top 1%)
  • Outstanding Postgraduate Students, 2024
  • Outstanding Undergraduate Graduate of Zhejiang Province, 2023 (Top 5%)
  • Xiaomi Scholarship, 2022
  • Zhejiang Provincial Government Scholarship, 2021 (Top 3%)
  • First-class Scholarship of Zhejiang University, 2021 (Top 3%)
  • Outstanding Student Scholarship of CTZ Education Foundation, 2021
  • Outstanding Student of Zhejiang University, 2021
  • First Prize in the Zhejiang Province College Physics Competition, 2020 (Top 5%)
  • Outstanding Youth League Member of Zhejiang University, 2020

Publications

Large Language Models: Automatic Review of Documents

Re^2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
TLDR: We introduce the largest consistency-ensured peer review and rebuttal dataset from 24 conferences and 21 workshops.
Daoze Zhang, Zhijian Bao, Sihang Du, Zhiyi Zhao, Kuangling Zhang, Dezheng Bao, Yang Yang
arXiv preprint
[Paper] [Code]
PD^3: A Project Duplication Detection Framework via Adapted Multi-Agent Debate
TLDR: We propose a multi-agent debate-based framework for detecting project duplication by simulating expert discussions.
Dezheng Bao, Yueci Yang, Xin Chen, Zhengxuan Jiang, Zeguo Fei, Daoze Zhang, Xuanwen Huang, Junru Chen, Chutian Yu, Xiang Yuan Yang Yang
arXiv preprint
[Paper]


AI for Healthcare: Deep Learning on Neural Signals

Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
TLDR: This review systematically examines recent advances in deep learning approaches for EEG/iEEG-based neurological diagnostics.
Jiahe Li, Xin Chen, Fanqi Shen, Junru Chen, Yuxin Liu, Daoze Zhang, Zhizhang Yuan, Fang Zhao, Meng Li, Yang Yang
arXiv preprint
[Paper] [Code]
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
TLDR: We propose a self-comparison mechanism to mitigate the domain shifts on seizure patterns between subjects.
Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang
NeurIPS 2024
[Paper]
Brant-X: A Unified Physiological Signal Alignment Framework
TLDR: We propose a unified physiological signal alignment framework to learn representations from various physiological data.
Daoze Zhang, Zhizhang Yuan, Junru Chen, Kerui Chen, Yang Yang
SIGKDD 2024
[Paper] [Homepage]
Brant-2: Foundation Model for Brain Signals
TLDR: We propose a foundation model for brain signals, which can be applied to various scenarios of both iEEG and EEG.
Zhizhang Yuan, Daoze Zhang, Gefei Gu, Junru Chen, Yang Yang
arXiv preprint
[Paper] [Code]
Brant: Foundation Model for Intracranial Neural Signal
TLDR: We propose a foundation model for modeling intracranial recordings, providing a large-scale, off-the-shelf model for medicine.
Daoze Zhang*, Zhizhang Yuan*, Yang Yang, Junru Chen, Jingjing Wang, Yafeng Li
(* equal contribution)
NeurIPS 2023
[Paper] [Homepage] [Code]
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
TLDR: We propose a pretraining-based model to conduct patient-independent seizure detection on SEEG in the clinical scenario.
Zhizhang Yuan*, Daoze Zhang*, Yang Yang, Junru Chen, Yafeng Li (* equal contribution)
NeurIPS 2023
[Paper] [Code]

Teaching & Academic Service

Conference
  • Program committee member of NeurIPS 2025
  • Oral presentation at KDD 2024 to introduce the paper of Brant-X
Teaching Assistant Peer Tutoring Mentor
  • CS 211C0010: Object-oriented Programming, with Prof. Weiwei Xu (2021)
  • CS 211G0280: Fundamentals of C Programming (2020)

Miscellaneous

In life, I have a passion for history🏺, geography🌎, and classical music🎼. I have also studied traditional arts such as seal carving and Chinese painting🎨. At the age of 13, I was honored to receive the gold medal🥇 in the Peace Cup Youth Painting and Calligraphy Competition held in the United States.

LGM

During my two years as a member and deputy minister of the Arts Department in CKC Honors College Student Union, I fell in love with organizing and managing everything related to events and performances🌟. Together with the team members, I was responsible for organizing multiple singing competitions, New Year's ceremonies, and graduation ceremonies.

LGM

Furthermore, I have had the opportunity to take on the role of video editing🎬 for the ZJU English version of "The Wave", which garnered recognition and promotion from various institutions including Zhejiang News, Qianjiang Evening News, Foreign Language Research Press, Sina, Sohu, and more. bilibili

LGM

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