Peibo Duan

62 papers A* 5A 2B 2Misc 1Journal 43Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
An attributed multiplex network enabled GNN-based stock predictor with observable and non-observable information.
Expert Syst. Appl.
Zhipeng Liu, Peibo Duan, Qi Chu, Levin Kuhlmann, Changsheng Zhang, Wenwei Yue, Xuan Tang, Bin Zhang
2026 J jnl
Enhancing Universal Mixed-Autonomy Channel Modeling With Explainable Artificial Intelligence.
IEEE Trans. Veh. Technol.
Jingli Li, Wenwei Yue, Danwen Zhang, Fa Zhu, Peibo Duan, Di Zhou, Yiyan Ma
2026 J jnl
MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks.
CoRR
Yongsheng Huang, Peibo Duan, Yujie Wu, Kai Sun, Zhipeng Liu, Jiaxiang Liu, Guangyu Li, Changsheng Zhang, Bin Zhang, Mingkun Xu
2026 J jnl
TimeFormer: Transformer with attention modulation empowered by temporal characteristics for time series forecasting.
Expert Syst. Appl.
Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang
2026 A* conf
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification.
WWW
Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang
2026 J jnl
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification.
CoRR
Zhipeng Liu, Peibo Duan, Xuan Tang, Haodong Jing, Mingyang Geng, Yongsheng Huang, Jialu Xu, Bin Zhang, Binwu Wang
2025 Misc conf
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction.
ICASSP
Zhipeng Liu, Peibo Duan, Mingyang Geng, Bin Zhang
2025 J jnl
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction.
CoRR
Zhipeng Liu, Peibo Duan, Mingyang Geng, Bin Zhang
2025 — conf
A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement.
ICANN (4)
Qingwei Zeng, Peibo Duan, Yongsheng Huang, Changsheng Zhang
2025 J jnl
A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection.
Appl. Soft Comput.
Zhipeng Liu, Peibo Duan, Xiaosha Xue, Changsheng Zhang, Wenwei Yue, Bin Zhang
2025 J jnl
AGHINT: Attribute-guided representation learning on heterogeneous information networks with transformer.
Knowl. Based Syst.
Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He
2025 J jnl
CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity.
CoRR
Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu
2025 A conf
CogniSNN: An Exploration to Random Graph Architecture Based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity.
ECAI
Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu
2025 J jnl
CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks.
CoRR
Yongsheng Huang, Peibo Duan, Yujie Wu, Kai Sun, Zhipeng Liu, Changsheng Zhang, Bin Zhang, Mingliang Xu
2025 J jnl
DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification.
CoRR
Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang
2025 A* conf
DisMS-TS: Eliminating Redundant Multi-scale Features for Time Series Classification.
ACM Multimedia
Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang
2025 J jnl
EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Algorithms.
CoRR
Leizhen Wang, Peibo Duan, Hao Wang, Yue Wang, Jian Xu, Nan Zheng, Zhenliang Ma
2025 J jnl
Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction.
CoRR
Xiaosha Xue, Peibo Duan, Zhipeng Liu, Qi Chu, Changsheng Zhang, Bin Zhang
2025 — conf
Gated Fusion Enhanced Multi-scale Hierarchical Graph Convolutional Network for Stock Movement Prediction.
ICONIP (3)
Xiaosha Xue, Peibo Duan, Zhipeng Liu, Qi Chu, Changsheng Zhang, Bin Zhang
2025 B conf
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
COLING
Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge
2025 J jnl
High-Precision Climbing Robot Localization Using Planar Array UWB/GPS/IMU/Barometer Integration.
CoRR
Shuning Zhang, Renjing Xu, Zhanchen Zhu, Xiangyu Chen, Yunheng Wang, Xu Jiang, Peibo Duan
2025 A* conf
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks.
IJCAI
Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang
2025 J jnl
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks.
CoRR
Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang
2025 J jnl
Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment.
CoRR
Leizhen Wang, Peibo Duan, Cheng Lyu, Zhenliang Ma
2025 — conf
Scalable and Reliable Multi-Agent Reinforcement Learning for Traffic Assignment.
ITSC
Leizhen Wang, Peibo Duan, Cheng Lyu, Zewen Wang, Nan Zheng, Zhenliang Ma
2025 J jnl
Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment.
CoRR
Leizhen Wang, Peibo Duan, Cheng Lyu, Zewen Wang, Zhiqiang He, Nan Zheng, Zhenliang Ma
2025 J jnl
Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks.
IEEE Trans. Intell. Transp. Syst.
Limei Liu, Peibo Duan, Zhuo Chen, Jinghui Zhang, Siyuan Feng, Wenwei Yue, Yibo Wang, Jia Rong
2025 J jnl
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting.
CoRR
Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang
2024 J jnl
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer.
CoRR
Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He
2024 J jnl
AI-Driven Day-to-Day Route Choice.
CoRR
Leizhen Wang, Peibo Duan, Zhengbing He, Cheng Lyu, Xin Chen, Nan Zheng, Li Yao, Zhenliang Ma
2024 J jnl
CAVs as a Mobile Computing Platform: Task Offloading Strategy in Mixed Traffic Systems.
IEEE Internet Things J.
Peitao Yue, Wenwei Yue, Peibo Duan, Yixin Fan, Changle Li
2024 J jnl
Capacity of Vehicular Networks in Mixed Traffic With CAVs and Human-Driven Vehicles.
IEEE Internet Things J.
Zhejian Zheng, Wenwei Yue, Changle Li, Peibo Duan, Xuelin Cao, Peitao Yue, Jiaming Wu
2024 J jnl
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR
Ming Hu, Siyuan Yan, Peng Xia, Feilong Tang, Wenxue Li, Peibo Duan, Lin Zhang, Zongyuan Ge
2024 A conf
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
CIKM
Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang
2024 A* conf
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings.
NeurIPS
Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang
2024 — conf
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
MICCAI (10)
Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge
2024 J jnl
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
CoRR
Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge
2024 J jnl
Implicit-Causality-Exploration-Enabled Graph Neural Network for Stock Prediction.
Inf.
Ying Li, Xiaosha Xue, Zhipeng Liu, Peibo Duan, Bin Zhang
2024 J jnl
MONICA: Benchmarking on Long-tailed Medical Image Classification.
CoRR
Lie Ju, Siyuan Yan, Yukun Zhou, Yang Nan, Xiaodan Xing, Peibo Duan, Zongyuan Ge
2024 J jnl
Navigating the Impact of Connected and Automated Vehicles on Mixed Traffic Efficiency: A Driving Behavior Perspective.
IEEE Internet Things J.
Wenwei Yue, Xianhui Wu, Changle Li, Nan Cheng, Peibo Duan, Zhu Han
2024 J jnl
Triple confidence measurement in knowledge graph with multiple heterogeneous evidences.
World Wide Web (WWW)
Tianxing Wu, Kai Yao, Wei Li, Guilin Qi, Yijun Yu, Nengwen Zhao, Renyou Zhang, Peibo Duan
2023 B conf
Capacity Analysis of Dedicated Lanes in Mixed Traffic with Human-Driven and Connected and Autonomous Vehicles.
GLOBECOM
Shuang Tang, Wenwei Yue, Nan Cheng, Peibo Duan, Di Zhou, Changle Li
2023 J jnl
Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective.
IEEE Syst. J.
Wenwei Yue, Di Zhou, Shangbo Wang, Peibo Duan
2023 J jnl
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
CoRR
Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge
2023 A* conf
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.
NeurIPS
Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge
2023 J jnl
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.
CoRR
Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge
2023 J jnl
Revolution on Wheels: A Survey on the Positive and Negative Impacts of Connected and Automated Vehicles in Era of Mixed Autonomy.
IEEE Internet Things J.
Wenwei Yue, Changle Li, Peibo Duan, Fei Richard Yu
2023 J jnl
Spectral Dual-Channel Encoding for Image Dehazing.
IEEE Trans. Circuits Syst. Video Technol.
Zhanchen Zhu, Daokun Zhang, Zhikang Wang, Siyuan Feng, Peibo Duan
2022 J jnl
Bayesian Path Inference Using Sparse GPS Samples With Spatio-Temporal Constraints.
IEEE Trans. Intell. Transp. Syst.
Jun Kang, Ke Yan, Yixiu Li, Zongtao Duan, Peibo Duan, Baoqi Huang
2022 J jnl
What is the Root Cause of Congestion in Urban Traffic Networks: Road Infrastructure or Signal Control?
IEEE Trans. Intell. Transp. Syst.
Wenwei Yue, Changle Li, Yue Chen, Peibo Duan, Guoqiang Mao
2021 J jnl
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.
CoRR
Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen
2020 J jnl
Estimation of Link Travel Time Distribution With Limited Traffic Detectors.
IEEE Trans. Intell. Transp. Syst.
Peibo Duan, Guoqiang Mao, Jun Kang, Baoqi Huang
2019 J jnl
A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Peibo Duan, Guoqiang Mao, Weifa Liang, Degan Zhang
2019 — conf
Estimating Link Travel Time Distribution Using Network Tomography Technique.
ITSC
Peibo Duan, Guoqiang Mao, Baoqi Huang, Jun Kang
2019 — —
Modeling, Analysis and Application of Big Traffic Data for Intelligent Transportation Systems
Peibo Duan
2018 — conf
A Trade-off Between Accuracy and Complexity: Short-term Traffic Flow Prediction with Spatio-temporal Correlations.
ITSC
Peibo Duan, Guoqiang Mao, Changsheng Zhang, Jun Kang
2018 — conf
A Unified STARIMA based Model for Short-term Traffic Flow Prediction.
ITSC
Peibo Duan, Guoqiang Mao, Wenwei Yue, Shangbo Wang
2018 J jnl
Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks.
IEEE Trans. Cybern.
Peibo Duan, Changsheng Zhang, Guoqiang Mao, Bin Zhang
2018 J jnl
Decomposition-based sub-problem optimal solution updating direction-guided evolutionary many-objective algorithm.
Inf. Sci.
Haitong Zhao, Changsheng Zhang, Bin Zhang, Peibo Duan, Yang Yang
2017 J jnl
Applying DCOP to User Association Problem in Heterogeneous Networks with Markov Chain Based Algorithm.
CoRR
Peibo Duan, Guoqiang Mao, Changsheng Zhang, Bin Zhang
2017 J jnl
STARIMA-based Traffic Prediction with Time-varying Lags.
CoRR
Peibo Duan, Guoqiang Mao, Shangbo Wang, Changsheng Zhang, Bin Zhang
2016 — conf
STARIMA-based traffic prediction with time-varying lags.
ITSC
Peibo Duan, Guoqiang Mao, Changsheng Zhang, Shangbo Wang