| 2026 | PAKDD | CadST: Correlation-aware Alignment and Disentanglement in Multi-modal Spatio-Temporal Traffic Prediction. | Limei Liu, Peibo Duan, Zhenliang Ma, Leizhen Wang, Yibo Wang, Jia Rong |
| 2026 | WWW | We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification. | Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang |
| 2025 | COLING | HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. | Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge |
| 2025 | ECAI | CogniSNN: An Exploration to Random Graph Architecture Based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity. | Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu |
| 2025 | ICANN | A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement. | Qingwei Zeng, Peibo Duan, Yongsheng Huang, Changsheng Zhang |
| 2025 | ICASSP | A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. | Zhipeng Liu, Peibo Duan, Mingyang Geng, Bin Zhang |
| 2025 | ICONIP | Gated Fusion Enhanced Multi-scale Hierarchical Graph Convolutional Network for Stock Movement Prediction. | Xiaosha Xue, Peibo Duan, Zhipeng Liu, Qi Chu, Changsheng Zhang, Bin Zhang |
| 2025 | IJCAI | ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. | Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang |
| 2024 | CIKM | Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. | Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang |
| 2024 | MICCAI | 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 |
| 2023 | GLOBECOM | Capacity Analysis of Dedicated Lanes in Mixed Traffic with Human-Driven and Connected and Autonomous Vehicles. | Shuang Tang, Wenwei Yue, Nan Cheng, Peibo Duan, Di Zhou, Changle Li |