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A deep generative approach for crash frequency model with heterogeneous imbalanced data Journal article
Analytic Methods in Accident Research, 2022,Volume: 34
Authors:  Ding, Hongliang;  Lu, Yuhuan;  Sze, N. N.;  Chen, Tiantian;  Guo, Yanyong;  Lin, Qinghai
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Augmented variational autoencoder  Crash frequency model  Imbalanced crash data  Machine learning  
Assessing the Nonlinear Effect of Atmospheric Variables on Primary and Oxygenated Organic Aerosol Concentration Using Machine Learning Journal article
ACS Earth and Space Chemistry, 2022,Volume: 6,Issue: 4,Page: 1059-1066
Authors:  Qin, Yiming;  Ye, Jianhuai;  Ohno, Paul;  Liu, Pengfei;  Wang, Junfeng;  Fu, Pingqing;  Zhou, Liyuan;  Li, Yong Jie;  Martin, Scot T.;  Chan, Chak K.
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atmospheric variables  machine learning  nonlinear effect  organic aerosol  partial dependence  
Ridesourcing Behavior Analysis and Prediction: A Network Perspective Journal article
IEEE Transactions on Intelligent Transportation Systems, 2022,Volume: 23,Issue: 2,Page: 1274-1283
Authors:  Chen, Duxin;  Shao, Qi;  Liu, Zhiyuan;  Yu, Wenwu;  Chen, C. L.Philip
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Complex Network  Entropy And Predictability  Non-markovian Features  Ridesourcing  Tncs  Traffic Behavior Analysis  Transportation Network Companies  
A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros Journal article
Accident Analysis and Prevention, 2022,Volume: 164
Authors:  Chen, Tiantian;  Lu, Yuhuan;  Fu, Xiaowen;  Sze, N. N.;  Ding, Hongliang
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Bus Safety  Crash Frequency Model  Excessive Zeros  Resampling Approach  
BBServerless: A Bursty Traffic Benchmark for Serverless Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Lin, Yanying;  Ye, Kejiang;  Li, Yongkang;  Lin, Peng;  Tang, Yingfei;  Xu, Chengzhong
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Architectural analytics  Benchmark suit  Bursty traffic  Serverless computing  Serverless workloads  
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network Journal article
IEEE Transactions on Intelligent Transportation Systems, 2022
Authors:  Su, Yuchao;  Du, Jie;  Li, Yuanman;  Li, Xia;  Liang, Rongqin;  Hua, Zhongyun;  Zhou, Jiantao
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asymmetric interactions.  Cooperative intelligent transportation systems  directed graph convolutional neural network  Directed graphs  Feature extraction  Forecasting  Generative adversarial networks  Predictive models  Topology  Trajectory  trajectory prediction  
A time-dependent attention convolutional LSTM method for traffic flow prediction Journal article
Applied Intelligence, 2022
Authors:  Huang, Xiaohui;  Tang, Jie;  Yang, Xiaofei;  Xiong, Liyan
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Attention mechanism  Convolutional LSTM  Spatio-temporal data  Traffic flow prediction  
Meta-path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation Journal article
IEEE Transactions on Network Science and Engineering, 2022
Authors:  Chen, Junyang;  Gong, Zhiguo;  Li, Yuanman;  Zhang, Huanjian;  Yu, Hongyong;  Zhu, Junzhang;  Fan, Ge;  Wu, Xiao Ming;  Wu, Kaishun
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Behavioral Target Generalization  CTR Prediction  Predictive models  Recommender systems  Recommender Systems  Semantics  Sequential Recommendation  Task analysis  Training  Transformers  User experience  
Multi-step Coupled Graph Convolution with Temporal-Attention for Traffic Flow Prediction Journal article
IEEE Access, 2022
Authors:  Huang, Xiaohui;  Ye, Yuming;  Yang, Xiaofei;  Xiong, Liyan
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Convolution  Data mining  Data models  Feature extraction  Graph convolutional network  Mathematical models  Multi-step attention  Predictive models  Roads  Traffic flow prediction  
MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction Conference paper
Milan, 10-15 Jan. 2021
Authors:  Jingjie Guo;  Kelang Tian;  Kejiang Ye;  Cheng-Zhong Xu
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Multi-attention  Traffic Prediction  Handwriting Recognition  Language Model