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09/05/2023
Model-agnostic network inference enhancement from noisy measurements via curriculum learning
Noise is a pervasive element within real-world measurement data, signifi...
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08/30/2023
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation
Despite recent advances in semantic segmentation, an inevitable challeng...
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05/27/2023
Pre-trained transformer for adversarial purification
With more and more deep neural networks being deployed as various daily ...
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04/24/2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Learning to optimize (L2O) has emerged as a powerful framework for black...
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04/19/2023
LEA: Beyond Evolutionary Algorithms via Learned Optimization Strategy
Evolutionary algorithms (EAs) have emerged as a powerful framework for e...
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04/11/2023
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles
Accurate state-of-health (SOH) estimation is critical to guarantee the s...
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03/13/2023
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
Deep learning (DL) algorithms have been widely applied to short-term vol...
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01/19/2023
Discover governing differential equations from evolving systems
Discovering the governing equations of evolving systems from available o...
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11/28/2022
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes
Network structure evolves with time in the real world, and the discovery...
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11/07/2022
Uplink Sensing Using CSI Ratio in Perceptive Mobile Networks
Uplink sensing in perceptive mobile networks (PMNs), which uses uplink c...
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10/20/2022
DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries
Accurate co-estimations of battery states, such as state-of-charge (SOC)...
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09/20/2022
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Bird's eye view (BEV) is widely adopted by most of the current point clo...
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08/21/2022
Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink
Beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO cons...
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08/21/2022
Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals
Joint communication and sensing (JCAS) has the potential to improve the ...
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04/07/2022
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks
Influence maximization is a key issue for mining the deep information of...
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03/15/2022
Fast and Accurate Linear Fitting for Incompletely Sampled Gaussian Function With a Long Tail
Fitting experiment data onto a curve is a common signal processing techn...
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03/04/2022
Class-Aware Contrastive Semi-Supervised Learning
Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...
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02/25/2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesi...
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01/04/2022
Evolutionary Multitasking AUC Optimization
Learning to optimize the area under the receiver operating characteristi...
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01/04/2022
What Knowledge can be Transferred Between Network Reconstruction and Community Detection?
This paper focuses on inferring network structure and community structur...
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10/19/2020
Frequency-Hopping MIMO Radar-Based Communications: An Overview
Enabled by the advancement in radio frequency technologies, the converge...
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06/13/2020
Enabling Joint Communication and Radio Sensing in Mobile Networks – A Survey
Mobile network is evolving from a communication-only network towards the...
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03/03/2020
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
Deep learning based approaches have been utilized to model and generate ...
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02/16/2020
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
The emergence of high-density byte-addressable non-volatile memory (NVM)...
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10/16/2019
UMap: Enabling Application-driven Optimizations for Page Management
Leadership supercomputers feature a diversity of storage, from node-loca...
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09/11/2019
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning
Software-managed heterogeneous memory (HM) provides a promising solution...
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06/24/2019
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures
Emerging non-volatile memory (NVM) is promising for building future HPC....
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03/14/2019
Architecture-Aware, High Performance Transaction for Persistent Memory
Byte-addressable non-volatile main memory (NVM) demands transactional me...
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08/03/2018
Characterization and Comparison of Application Resilience for Serial and Parallel Executions
Soft error of exascale application is a challenge problem in modern HPC....
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05/10/2017
