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20212024
most citedEstablishing Direct Phenomenological Connections between Fluid and Structure by the Koopman-Linearly-Time-Invariant Analysis

27 citations

7 papers

cs.AI202413 cited

Quantitative causality, causality-guided scientific discovery, and causal machine learning

X. San Liang, Dake Chen, Renhe Zhang

It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intell…

physics.ao-ph202218 cited

Revisiting the definition of rapid intensification of tropical cyclones by clustering the initial intensity and inner-core size

Yi Li, Youmin Tang, Ralf Toumi +1

Rapid intensification (RI) of tropical cyclones (TCs) provides a great challenge in operational forecasting and contributes significantly to the development of major TCs. RI is com…

eess.SP2022

Record Capacity-Reach of C band IM/DD Optical Systems over Dispersion-Uncompensated Links

Haide Wang, Ji Zhou, Jinlong Wei +5

We experimentally demonstrate a C band 100Gbit/s intensity modulation and direct detection entropy-loaded multi-rate Nyquist-subcarrier modulation signal over 100km dispersion-unco…

physics.flu-dyn202127 cited

Establishing Direct Phenomenological Connections between Fluid and Structure by the Koopman-Linearly-Time-Invariant Analysis

Cruz Y. Li, Zengshun Chen, Tim K. T. Tse +4

In this work, we introduce a novel data-driven formulation, the Koopman-Linearly-Time-Invariant (Koopman-LTI) analysis, for analyzing Fluid-Structure Interactions (FSI). An impleme…

cs.IT20216 cited

Cooperative Beamforming for Wireless Fronthaul and Access Links in Ultra-Dense C-RANs with SWIPT: A First-Order Approach

Fangqing Tan, Peiran Wu, Yik-Chung Wu +1

This work studies multigroup multicasting transmission in cloud radio access networks (C-RANs) with simultaneous wireless information and power transfer, where densely packed remot…

eess.IV2021

A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC

Jiyuan Hu, Jun Wang, Guangyu Zhong +3

The reference frame memory accesses in inter prediction result in high DRAM bandwidth requirement and power consumption. This problem is more intensive by the adoption of intra blo…