Heyuan Wang

Orcid: 0000-0001-5716-4565

According to our database1, Heyuan Wang authored at least 17 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.
IEEE Trans. Knowl. Data Eng., February, 2024

Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting.
CoRR, 2023

Learning Event Logic Graph Knowledge for Credit Risk Forecast.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022
Spatial Autoregressive Coding for Graph Neural Recommendation.
CoRR, 2022

Adaptive Long-Short Pattern Transformer for Stock Investment Selection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
A Closed-Loop Brain Stimulation Control System Design Based on Brain-Machine Interface for Epilepsy.
Complex., 2020

Fine-grained Interest Matching for Neural News Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SIGMM: A Novel Machine Learning Algorithm for Spammer Identification in Industrial Mobile Cloud Computing.
IEEE Trans. Ind. Informatics, 2019

Dynamical Mechanism and Energy Conversion of the Couette-Taylor Flow.
Int. J. Bifurc. Chaos, 2019

Neural CTR Prediction for Native Ad.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2012
Dynamical Behaviors and numerical Simulation of a Lorenz-Type System for the incompressible Flow between Two Concentric rotating Cylinders.
Int. J. Bifurc. Chaos, 2012


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