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Peibo Duan
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2020 – today
- 2026
[j18]Zhipeng Liu
, Peibo Duan, Qi Chu, Levin Kuhlmann, Changsheng Zhang, Wenwei Yue, Xuan Tang, Bin Zhang:
An attributed multiplex network enabled GNN-based stock predictor with observable and non-observable information. Expert Syst. Appl. 296: 129018 (2026)- 2025
[j17]Zhipeng Liu
, Peibo Duan, Xiaosha Xue, Changsheng Zhang
, Wenwei Yue, Bin Zhang:
A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection. Appl. Soft Comput. 169: 112524 (2025)
[j16]Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He:
AGHINT: Attribute-guided representation learning on heterogeneous information networks with transformer. Knowl. Based Syst. 310: 112977 (2025)
[j15]Limei Liu
, Peibo Duan
, Zhuo Chen
, Jinghui Zhang
, Siyuan Feng, Wenwei Yue
, Yibo Wang, Jia Rong
:
Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks. IEEE Trans. Intell. Transp. Syst. 26(7): 9993-10007 (2025)
[c13]Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge:
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. COLING 2025: 269-280
[c12]Qingwei Zeng, Peibo Duan, Yongsheng Huang, Changsheng Zhang:
A Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement. ICANN (4) 2025: 441-452
[c11]Zhipeng Liu, Peibo Duan, Mingyang Geng, Bin Zhang:
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. ICASSP 2025: 1-5
[c10]Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang:
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. IJCAI 2025: 4200-4208
[i20]Zhipeng Liu, Peibo Duan, Mingyang Geng, Bin Zhang:
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. CoRR abs/2502.10776 (2025)
[i19]Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu:
CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity. CoRR abs/2505.05992 (2025)
[i18]Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang:
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. CoRR abs/2505.10371 (2025)
[i17]Leizhen Wang
, Peibo Duan, Cheng Lyu, Zhenliang Ma:
Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment. CoRR abs/2505.20889 (2025)
[i16]Leizhen Wang, Peibo Duan, Cheng Lyu, Zewen Wang, Zhiqiang He, Nan Zheng, Zhenliang Ma:
Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment. CoRR abs/2506.17029 (2025)
[i15]Zhipeng Liu, Peibo Duan, Binwu Wang, Xuan Tang, Qi Chu, Changsheng Zhang, Yongsheng Huang, Bin Zhang:
DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification. CoRR abs/2507.04600 (2025)
[i14]Leizhen Wang, Peibo Duan, Hao Wang, Yue Wang, Jian Xu, Nan Zheng, Zhenliang Ma:
EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Algorithms. CoRR abs/2509.03335 (2025)
[i13]Shuning Zhang, Renjing Xu, Zhanchen Zhu, Xiangyu Chen, Yunheng Wang, Xu Jiang, Peibo Duan:
High-Precision Climbing Robot Localization Using Planar Array UWB/GPS/IMU/Barometer Integration. CoRR abs/2509.23801 (2025)
[i12]Zhipeng Liu, Peibo Duan, Xuan Tang, Baixin Li, Yongsheng Huang, Mingyang Geng, Changsheng Zhang, Bin Zhang, Binwu Wang:
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting. CoRR abs/2510.06680 (2025)
[i11]Xiaosha Xue, Peibo Duan, Zhipeng Liu, Qi Chu, Changsheng Zhang, Bin Zhang:
Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction. CoRR abs/2511.01570 (2025)- 2024
[j14]Ying Li, Xiaosha Xue, Zhipeng Liu, Peibo Duan, Bin Zhang:
Implicit-Causality-Exploration-Enabled Graph Neural Network for Stock Prediction. Inf. 15(12): 743 (2024)
[j13]Zhejian Zheng
, Wenwei Yue
, Changle Li
, Peibo Duan
, Xuelin Cao, Peitao Yue, Jiaming Wu
:
Capacity of Vehicular Networks in Mixed Traffic With CAVs and Human-Driven Vehicles. IEEE Internet Things J. 11(10): 17852-17865 (2024)
[j12]Peitao Yue, Wenwei Yue
, Peibo Duan
, Yixin Fan
, Changle Li
:
CAVs as a Mobile Computing Platform: Task Offloading Strategy in Mixed Traffic Systems. IEEE Internet Things J. 11(20): 33592-33603 (2024)
[j11]Wenwei Yue
, Xianhui Wu, Changle Li
, Nan Cheng
, Peibo Duan
, Zhu Han
:
Navigating the Impact of Connected and Automated Vehicles on Mixed Traffic Efficiency: A Driving Behavior Perspective. IEEE Internet Things J. 11(23): 37770-37784 (2024)
[j10]Tianxing Wu, Kai Yao, Wei Li, Guilin Qi, Yijun Yu, Nengwen Zhao, Renyou Zhang, Peibo Duan:
Triple confidence measurement in knowledge graph with multiple heterogeneous evidences. World Wide Web (WWW) 27(6): 70 (2024)
[c9]Xiao Tan
, Zhaoyang Wang
, Hao Qian
, Jun Zhou
, Peibo Duan
, Dian Shen
, Meng Wang
, Beilun Wang
:
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. CIKM 2024: 2210-2219
[c8]Peng Xia
, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge:
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. MICCAI (10) 2024: 427-437
[c7]Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang:
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings. NeurIPS 2024
[i10]Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He:
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer. CoRR abs/2404.10443 (2024)
[i9]Ming Hu, Siyuan Yan, Peng Xia, Feilong Tang, Wenxue Li, Peibo Duan, Lin Zhang, Zongyuan Ge
:
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification. CoRR abs/2405.11289 (2024)
[i8]Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge
:
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. CoRR abs/2406.06384 (2024)
[i7]Lie Ju, Siyuan Yan, Yukun Zhou, Yang Nan, Xiaodan Xing, Peibo Duan, Zongyuan Ge
:
MONICA: Benchmarking on Long-tailed Medical Image Classification. CoRR abs/2410.02010 (2024)
[i6]Leizhen Wang
, Peibo Duan, Zhengbing He, Cheng Lyu, Xin Chen, Nan Zheng, Li Yao, Zhenliang Ma:
AI-Driven Day-to-Day Route Choice. CoRR abs/2412.03338 (2024)- 2023
[j9]Wenwei Yue
, Changle Li
, Peibo Duan
, Fei Richard Yu
:
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. 10(24): 21820-21835 (2023)
[j8]Wenwei Yue
, Di Zhou
, Shangbo Wang
, Peibo Duan
:
Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective. IEEE Syst. J. 17(3): 4485-4496 (2023)
[j7]Zhanchen Zhu
, Daokun Zhang
, Zhikang Wang
, Siyuan Feng
, Peibo Duan
:
Spectral Dual-Channel Encoding for Image Dehazing. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6236-6248 (2023)
[c6]Shuang Tang, Wenwei Yue, Nan Cheng, Peibo Duan, Di Zhou, Changle Li:
Capacity Analysis of Dedicated Lanes in Mixed Traffic with Human-Driven and Connected and Autonomous Vehicles. GLOBECOM 2023: 1036-1041
[c5]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. NeurIPS 2023
[i5]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. CoRR abs/2310.13347 (2023)
[i4]Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge:
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. CoRR abs/2311.14064 (2023)- 2022
[j6]Wenwei Yue
, Changle Li
, Yue Chen, Peibo Duan
, Guoqiang Mao:
What is the Root Cause of Congestion in Urban Traffic Networks: Road Infrastructure or Signal Control? IEEE Trans. Intell. Transp. Syst. 23(7): 8662-8679 (2022)
[j5]Jun Kang
, Ke Yan, Yixiu Li, Zongtao Duan
, Peibo Duan
, Baoqi Huang
:
Bayesian Path Inference Using Sparse GPS Samples With Spatio-Temporal Constraints. IEEE Trans. Intell. Transp. Syst. 23(8): 12353-12365 (2022)- 2021
[i3]Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen:
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. CoRR abs/2106.15802 (2021)- 2020
[j4]Peibo Duan
, Guoqiang Mao
, Jun Kang, Baoqi Huang
:
Estimation of Link Travel Time Distribution With Limited Traffic Detectors. IEEE Trans. Intell. Transp. Syst. 21(9): 3730-3743 (2020)
2010 – 2019
- 2019
[b1]Peibo Duan:
Modeling, Analysis and Application of Big Traffic Data for Intelligent Transportation Systems. University of Technology Sydney, Australia, 2019
[j3]Peibo Duan
, Guoqiang Mao
, Weifa Liang
, Degan Zhang
:
A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 20(9): 3212-3223 (2019)
[c4]Peibo Duan, Guoqiang Mao
, Baoqi Huang, Jun Kang:
Estimating Link Travel Time Distribution Using Network Tomography Technique. ITSC 2019: 2598-2603- 2018
[j2]Haitong Zhao, Changsheng Zhang, Bin Zhang, Peibo Duan, Yang Yang
:
Decomposition-based sub-problem optimal solution updating direction-guided evolutionary many-objective algorithm. Inf. Sci. 448-449: 91-111 (2018)
[j1]Peibo Duan
, Changsheng Zhang, Guoqiang Mao
, Bin Zhang:
Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks. IEEE Trans. Cybern. 48(6): 1696-1707 (2018)
[c3]Peibo Duan, Guoqiang Mao
, Wenwei Yue, Shangbo Wang:
A Unified STARIMA based Model for Short-term Traffic Flow Prediction. ITSC 2018: 1652-1657
[c2]Peibo Duan, Guoqiang Mao
, Changsheng Zhang, Jun Kang:
A Trade-off Between Accuracy and Complexity: Short-term Traffic Flow Prediction with Spatio-temporal Correlations. ITSC 2018: 1658-1663- 2017
[i2]Peibo Duan, Guoqiang Mao, Shangbo Wang, Changsheng Zhang, Bin Zhang:
STARIMA-based Traffic Prediction with Time-varying Lags. CoRR abs/1701.00977 (2017)
[i1]Peibo Duan, Guoqiang Mao, Changsheng Zhang, Bin Zhang:
Applying DCOP to User Association Problem in Heterogeneous Networks with Markov Chain Based Algorithm. CoRR abs/1701.01289 (2017)- 2016
[c1]Peibo Duan, Guoqiang Mao
, Changsheng Zhang, Shangbo Wang:
STARIMA-based traffic prediction with time-varying lags. ITSC 2016: 1610-1615
Coauthor Index

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last updated on 2026-01-05 01:43 CET by the dblp team
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