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08/08/2023
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
Lake extraction from remote sensing imagery is challenging due to the co...
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06/16/2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal
Magnetic Resonance Spectroscopy (MRS) is an important non-invasive techn...
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04/15/2023
Intent-aware Ranking Ensemble for Personalized Recommendation
Ranking ensemble is a critical component in real recommender systems. Wh...
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09/22/2021
Intel Optane DCPMM and Serverless Computing
This report describes 1) how we use Intel's Optane DCPMM in the memory M...
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07/26/2021
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework
Trusted execution environments (TEE) such as Intel's Software Guard Exte...
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05/12/2021
Global Optimization for IRS-Assisted Wireless Communications: from Physics and Electromagnetic Perspectives
Intelligent reflecting surfaces (IRSs) are envisioned to be a disruptive...
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12/06/2020
Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker
In this paper, we present a novel scenario for directional modulation (D...
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10/04/2020
Rank Position Forecasting in Car Racing
Forecasting is challenging since uncertainty resulted from exogenous fac...
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09/23/2020
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
Subgraph counting aims to count occurrences of a template T in a given n...
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08/12/2020
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS
Intelligent reflecting surface (IRS) is of low-cost and energy-efficienc...
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07/16/2019
Energy-efficient Alternating Iterative Secure Structure of Maximizing Secrecy Rate for Directional Modulation Networks
In a directional modulation (DM) network, the issues of security and pri...
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04/03/2019
Performance Analysis of Directional Modulation with Finite-quantized RF Phase Shifters in Analog Beamforming Structure
The radio frequency (RF) phase shifter with finite quantization bits in ...
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03/11/2019
A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
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12/31/2018
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
To facilitate efficient embedded and hardware implementations of deep ne...
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11/05/2018
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM
Many model compression techniques of Deep Neural Networks (DNNs) have be...
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10/17/2018
Progressive Weight Pruning of Deep Neural Networks using ADMM
Deep neural networks (DNNs) although achieving human-level performance i...
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07/29/2018
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs
Weight pruning methods of deep neural networks (DNNs) have been demonstr...
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03/28/2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs
Both industry and academia have extensively investigated hardware accele...
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03/14/2018