Peibo Duan

Joined

June 2023

Names

Peibo Duan (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Associate Professor

School of Software, Northeastern University (neu.edu.cn)

2020 – 2025

Advisors, Relations & Conflicts

Social

Kai Chen

2023 – 2024

Expertise

Intelligent transportation systems

2020 – Present

Reinforcement learning

2020 – 2023

Publications

Toward Robust Feature Space in Long-Tailed Time Series Classification: A Multi-Scale Perspective
Zhipeng Liu, Peibo Duan, Xuan Tang, Xiaowen Ma, Jialu Xu, Yubin Zheng, Bin Zhang, Binwu Wang
- Submitted to ICLR 2026
- Readers: Everyone
Many Eyes, One Mind: Temporal Multi-Perspective and Progressive Distillation for Spiking Neural Networks
Kai Sun, Peibo Duan, Yongsheng Huang, Nanxu Gong, Levin Kuhlmann
- ICLR 2026 Poster
- Readers: Everyone
Implicit-Causality-Exploration-Enabled Graph Neural Networkfor Stock Prediction
Ying Li, Xiaosha Xue, Zhipeng Liu, Peibo Duan, Bin zhang
- OpenReview Archive Direct Upload
- Readers: Everyone
Enhancing Stock Prediction with Sentimental and Relational Information Distilled from Large Models
Zhipeng Liu, Mingyang Geng, Ying Li, Peibo Duan, Xiaosha Xue, Bin zhang
- OpenReview Archive Direct Upload
- Readers: Everyone
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju, Siyuan Yan, Yukun Zhou, Yang Nan, Xiaodan Xing, Peibo Duan, Huimin Lu, Zongyuan Ge
- Submitted to ICLR 2025
- Readers: Everyone
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge
- MICCAI 2024 (Early Accept)
- Readers: Everyone
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang
- NeurIPS 2024 poster
- Readers: Everyone
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone

Co-Authors

View all 38 co-authors