Haicheng Wu
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View article: Dynamic ETF Portfolio Optimization Using enhanced Transformer-Based Models for Covariance and Semi-Covariance Prediction(Work in Progress)
Dynamic ETF Portfolio Optimization Using enhanced Transformer-Based Models for Covariance and Semi-Covariance Prediction(Work in Progress) Open
This study explores the use of Transformer-based models to predict both covariance and semi-covariance matrices for ETF portfolio optimization. Traditional portfolio optimization techniques often rely on static covariance estimates or impo…
View article: EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree
EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree Open
As deep learning models become increasingly complex, the deep learning compilers are critical for enhancing the system efficiency and unlocking hidden optimization opportunities. Although excellent speedups have been achieved in inference …
View article: Beta-delayed gamma spectra in CENDL-3.2
Beta-delayed gamma spectra in CENDL-3.2 Open
A new program is developed to compute the beta delayed fission gamma spectrum, and applied to compute the spectra of n+ 235 U, 239 Pu and 241 Pu fissions wherein the recent nuclear database is adopted. The results show that most spectra ar…
View article: Research on Fire Detection method of Substation Based on Multi-sensors information Dynamic Tracing and Fusion Technology
Research on Fire Detection method of Substation Based on Multi-sensors information Dynamic Tracing and Fusion Technology Open
The complex detectors with multi-sensors of feature parameters are developed for realizing early fire-detection in substation.The fire detecting signal measurements from these multi-sensors and their variation rates are used as the data of…
View article: Relational Learning with GPUs: Accelerating Rule Coverage
Relational Learning with GPUs: Accelerating Rule Coverage Open
Relational learning algorithms mine complex databases for interesting patterns. Usually, the search space of patterns grows very quickly with the increase in data size, making it impractical to solve important problems. In this work we pre…