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Xianzhi Wang

  1. Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
    2020/07/06 by Lei Bai, Lina Yao, Bai, Lei +7 · 52 citations
    Engineering · Computer Science · Physics and Astronomy · #Traffic Prediction and Management Techniques #Advanced Graph Neural Networks #Complex Network Analysis Techniques
  2. A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
    2019/05/10 by Xiang Zhang, Zhang, Xiang, Lina Yao +11 · 1 voice · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #cs.HC #cs.LG #eess.SP #electronic engineering #information engineering #q-bio.NC
  3. Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
    2017/02/20 by Xiang Zhang, Lina Yao, Zhang, Xiang +7 · 5 citations
    Medicine · Neuroscience · Psychology · #Computers and Society (cs.CY) #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #Emotion and Mood Recognition #FOS: Computer and information sciences
  4. Automatic Device Classification from Network Traffic Streams of Internet of Things
    2018/12/24 by Lei Bai, Lina Yao, Bai, Lei +7 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Network Security and Intrusion Detection #Networking and Internet Architecture (cs.NI)
  5. Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
    2024/08/27 by Zihao Li, Li, Zihao, Chao Yang +13 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  6. STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
    2019/05/24 by Lei Bai, Bai, Lei, Lina Yao +7 · 2 citations
    Engineering · Social Sciences · #Traffic Prediction and Management Techniques #Human Mobility and Location-Based Analysis #Transportation Planning and Optimization
  7. A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
    2024/02/18 by Yakun Chen, Kaize Shi, Chen, Yakun +13 · 2 citations
    Economics, Econometrics and Finance · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Spatial and Panel Data Analysis
  8. Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding
    2021/11/01 by Zhe Liu, Xianzhi Wang, Yun Li +5 · 1 citation
    Business, Management and Accounting · Computer Science · Psychology · #Consumer Behavior in Brand Consumption and Identification #Evolutionary Psychology and Human Behavior #Face recognition and analysis
  9. Task Aligned Generative Meta-learning for Zero-shot Learning
    2021/03/03 by Zhe Liu, Liu, Zhe, Yun Li +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
    2021/09/08 by Xiaocong Chen, Chen, Xiaocong, Lina Yao +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Reinforcement Learning in Robotics
  11. Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
    2024/10/30 by Chengkai Huang, Shoujin Wang, Huang, Chengkai +5 · 4 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  12. Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
    2024/10/29 by Shoujin Wang, Huang, Chengkai, Wang, Shoujin +4 · 4 citations
    Physics and Astronomy · Computer Science · #Opinion Dynamics and Social Influence #Expert finding and Q&A systems #Recommender Systems and Techniques
  13. Large Language Models are Few-shot Multivariate Time Series Classifiers
    2025/01/30 by Yakun Chen, Zihao Li, Chen, Yakun +7 · 2 citations
    Computer Science · #Topic Modeling #Time Series Analysis and Forecasting
  14. Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction
    2023/12/26 by Yao Liu, Binghao Li, Liu, Yao +7 · 1 citation
    Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Traffic Prediction and Management Techniques #Traffic and Road Safety