STARIMA-based traffic prediction with time-varying lags. - Peibo Duan; Guoqiang Mao; Changsheng Zhang 001; Shangbo Wang (ITSC, 2016)

STARIMA-based Traffic Prediction with Time-varying Lags. - Peibo Duan; Guoqiang Mao; Shangbo Wang; Changsheng Zhang 001; Bin Zhang 001 (CoRR, 2017)

Applying DCOP to User Association Problem in Heterogeneous Networks with Markov Chain Based Algorithm. - Peibo Duan; Guoqiang Mao; Changsheng Zhang 001; Bin Zhang 001 (CoRR, 2017)

A Unified STARIMA based Model for Short-term Traffic Flow Prediction. - Peibo Duan; Guoqiang Mao; Wenwei Yue; Shangbo Wang (ITSC, 2018)

A Trade-off Between Accuracy and Complexity: Short-term Traffic Flow Prediction with Spatio-temporal Correlations. - Peibo Duan; Guoqiang Mao; Changsheng Zhang 001; Jun Kang (ITSC, 2018)

Decomposition-based sub-problem optimal solution updating direction-guided evolutionary many-objective algorithm. - Haitong Zhao; Changsheng Zhang 001; Bin Zhang 001; Peibo Duan; Yang Yang 034 (Inf. Sci., 2018)

Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks. - Peibo Duan; Changsheng Zhang 001; Guoqiang Mao; Bin Zhang 001 (IEEE Trans. Cybern., 2018)

Estimating Link Travel Time Distribution Using Network Tomography Technique. - Peibo Duan; Guoqiang Mao; Baoqi Huang; Jun Kang (ITSC, 2019)

A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction. - Peibo Duan; Guoqiang Mao; Weifa Liang; Degan Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Modeling, Analysis and Application of Big Traffic Data for Intelligent Transportation Systems - Peibo Duan (2019)

Estimation of Link Travel Time Distribution With Limited Traffic Detectors. - Peibo Duan; Guoqiang Mao; Jun Kang; Baoqi Huang (IEEE Trans. Intell. Transp. Syst., 2020)

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. - Xu Geng; Yilun Jin; Zhengfei Zheng; Yu Yang 012; Yexin Li; Han Tian; Peibo Duan; Leye Wang; Jiannong Cao 001; Hai Yang; Qiang Yang 001; Kai Chen 005 (CoRR, 2021)

Bayesian Path Inference Using Sparse GPS Samples With Spatio-Temporal Constraints. - Jun Kang; Ke Yan; Yixiu Li; Zongtao Duan; Peibo Duan; Baoqi Huang (IEEE Trans. Intell. Transp. Syst., 2022)

What is the Root Cause of Congestion in Urban Traffic Networks: Road Infrastructure or Signal Control? - Wenwei Yue; Changle Li; Yue Chen; Peibo Duan; Guoqiang Mao (IEEE Trans. Intell. Transp. Syst., 2022)

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 (GLOBECOM, 2023)

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. - Ming Hu; Lin Wang 027; Siyuan Yan; Don Ma; Qingli Ren; Peng Xia 005; Wei Feng 015; Peibo Duan; Lie Ju; Zongyuan Ge (NeurIPS, 2023)

Revolution on Wheels: A Survey on the Positive and Negative Impacts of Connected and Automated Vehicles in Era of Mixed Autonomy. - Wenwei Yue; Changle Li; Peibo Duan; Fei Richard Yu (IEEE Internet Things J., 2023)

Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective. - Wenwei Yue; Di Zhou; Shangbo Wang; Peibo Duan (IEEE Syst. J., 2023)

Spectral Dual-Channel Encoding for Image Dehazing. - Zhanchen Zhu; Daokun Zhang; Zhikang Wang; Siyuan Feng; Peibo Duan (IEEE Trans. Circuits Syst. Video Technol., 2023)

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. - Xiao Tan 005; Zhaoyang Wang; Hao Qian 003; Jun Zhou 011; Peibo Duan; Dian Shen; Meng Wang 009; Beilun Wang (CIKM, 2024)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. - Peng Xia 005; Ming Hu; Feilong Tang; Wenxue Li; Wenhao Zheng; Lie Ju; Peibo Duan; Huaxiu Yao; Zongyuan Ge (MICCAI (10), 2024)

FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings. - Xiao Tan 005; Yiqin Wang; Yangyang Shen; Dian Shen; Meng Wang 009; Peibo Duan; Beilun Wang (NeurIPS, 2024)

Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification. - Ming Hu; Siyuan Yan; Peng Xia 005; Feilong Tang; Wenxue Li; Peibo Duan; Lin Zhang; Zongyuan Ge (CoRR, 2024)

MONICA: Benchmarking on Long-tailed Medical Image Classification. - Lie Ju; Siyuan Yan; Yukun Zhou; Yang Nan; Xiaodan Xing; Peibo Duan; Zongyuan Ge (CoRR, 2024)

AI-Driven Day-to-Day Route Choice. - Leizhen Wang; Peibo Duan; Zhengbing He; Cheng Lyu; Xin Chen; Nan Zheng; Li Yao; Zhenliang Ma (CoRR, 2024)

Capacity of Vehicular Networks in Mixed Traffic With CAVs and Human-Driven Vehicles. - Zhejian Zheng; Wenwei Yue; Changle Li; Peibo Duan; Xuelin Cao; Peitao Yue; Jiaming Wu (IEEE Internet Things J., 2024)

CAVs as a Mobile Computing Platform: Task Offloading Strategy in Mixed Traffic Systems. - Peitao Yue; Wenwei Yue; Peibo Duan; Yixin Fan; Changle Li (IEEE Internet Things J., 2024)

Triple confidence measurement in knowledge graph with multiple heterogeneous evidences. - Tianxing Wu 001; Kai Yao; Wei Li; Guilin Qi; Yijun Yu; Nengwen Zhao; Renyou Zhang; Peibo Duan (World Wide Web (WWW), 2024)

Navigating the Impact of Connected and Automated Vehicles on Mixed Traffic Efficiency: A Driving Behavior Perspective. - Wenwei Yue; Xianhui Wu; Changle Li; Nan Cheng; Peibo Duan; Zhu Han 001 (IEEE Internet Things J., 2024)

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. - Peng Xia 005; Xingtong Yu; Ming Hu; Lie Ju; Zhiyong Wang 001; Peibo Duan; Zongyuan Ge (COLING, 2025)

A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction. - Zhipeng Liu; Peibo Duan; Mingyang Geng; Bin Zhang 001 (ICASSP, 2025)

A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection. - Zhipeng Liu; Peibo Duan; Xiaosha Xue; Changsheng Zhang 001; Wenwei Yue; Bin Zhang 001 (Appl. Soft Comput., 2025)

AGHINT: Attribute-guided representation learning on heterogeneous information networks with transformer. - Jinhui Yuan; Shan Lu; Peibo Duan; Jieyue He (Knowl. Based Syst., 2025)

CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity. - Yongsheng Huang; Peibo Duan; Zhipeng Liu; Kai Sun; Changsheng Zhang 001; Bin Zhang 001; Mingkun Xu (CoRR, 2025)

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. - Kai Sun; Peibo Duan; Levin Kuhlmann; Beilun Wang; Bin Zhang 001 (CoRR, 2025)

Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment. - Leizhen Wang; Peibo Duan; Cheng Lyu; Zhenliang Ma (CoRR, 2025)

Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment. - Leizhen Wang; Peibo Duan; Cheng Lyu; Zewen Wang; Zhiqiang He; Nan Zheng; Zhenliang Ma (CoRR, 2025)

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification. - Zhipeng Liu; Peibo Duan; Binwu Wang; Xuan Tang; Qi Chu 012; Changsheng Zhang 001; Yongsheng Huang; Bin Zhang 001 (CoRR, 2025)

Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks. - Limei Liu; Peibo Duan; Zhuo Chen; Jinghui Zhang; Siyuan Feng; Wenwei Yue; Yibo Wang; Jia Rong (IEEE Trans. Intell. Transp. Syst., 2025)

An attributed multiplex network enabled GNN-based stock predictor with observable and non-observable information. - Zhipeng Liu; Peibo Duan; Qi Chu 012; Levin Kuhlmann; Changsheng Zhang 001; Wenwei Yue; Xuan Tang; Bin Zhang 001 (Expert Syst. Appl., 2026)