Biography
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
Jul. 2021
Awards
Zhejiang Provincial Government Scholarship
First-class Scholarship of ZJU
Outstanding Student Scholarship of CTZ Edu Fdn
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 of Zhejiang University, 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.
arXiv preprint

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.
arXiv preprint
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.
arXiv preprint

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.
NeurIPS 2024

Brant-X: A Unified Physiological Signal Alignment Framework
TLDR: We propose a unified physiological signal alignment framework to learn representations from various physiological data.
SIGKDD 2024

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.
arXiv preprint

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.
NeurIPS 2023

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.
NeurIPS 2023
Teaching & Academic Service
Conference- Program committee member of NeurIPS 2025
- Oral presentation at KDD 2024 to introduce the paper of Brant-X
- CS 21121340: Computer Networks, with Prof. Xiqun Lu (2023)
- CS 21121340: Computer Networks, with Prof. Xiqun Lu (2022)
- CS 211C0010: Object-oriented Programming, with Prof. Weiwei Xu (2021)
- CS 211G0280: Fundamentals of C Programming (2020)
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