Jongeun Lee
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View article: Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds
Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds Open
We proposed a prognostic model predicting the risk of conversion to AD. The associated risk score may provide insights for early intervention in individuals at risk of AD conversion.
View article: Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating Open
How can we recommend cold-start bundles to users? The cold-start problem in bundle recommendation is crucial because new bundles are continuously created on the Web for various marketing purposes. Despite its importance, existing methods f…
View article: Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service Open
Machine learning models are often provisioned as a cloud-based service where the clients send their data to the service provider to obtain the result. This setting is commonplace due to the high value of the models, but it requires the cli…
View article: NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM Open
Recently DRAM-based PIMs (processing-in-memories) with unmodified cell arrays\nhave demonstrated impressive performance for accelerating AI applications.\nHowever, due to the very restrictive hardware constraints, PIM remains an\naccelerat…
View article: Concordance and deviations of the PDX tumors from the primary tumors of NSCLC patients: effects of murine fibroblasts on low engraftment rates
Concordance and deviations of the PDX tumors from the primary tumors of NSCLC patients: effects of murine fibroblasts on low engraftment rates Open
Patient-derived xenograft(PDX) models of primary lung cancer have been reported. However, varying engraftment rates and their underlying mechanisms for specific subtypes of lung cancer (adenocarcinoma, squamous cell carcinoma, and large ce…
View article: Supplementary Figures 1 - 9 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Figures 1 - 9 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Figures 1 - 9. Supp. Figure 1. Comparison of mutation rates between never-smokers and smokers. Supp. Figure 2. Druggable gene candidates. Supp. Figure 3. Prevalence of somatic mutations and the CNVs of the genes in the RB pat…
View article: Supplementary Figures 1 - 9 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Figures 1 - 9 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Figures 1 - 9. Supp. Figure 1. Comparison of mutation rates between never-smokers and smokers. Supp. Figure 2. Druggable gene candidates. Supp. Figure 3. Prevalence of somatic mutations and the CNVs of the genes in the RB pat…
View article: Supplementary Tables 1 - 15 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Tables 1 - 15 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Tables 1 - 15. Supp. Table 1. Sequenced reads per tumor and normal sample. Supp. Table 2. Comparison of significantly mutated genes detected using various MuTect thresholds. Supp. Table 3. Comparison of the number and rate of…
View article: Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends.
View article: Data from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Data from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Purpose: To better understand the complete genomic architecture of lung adenocarcinoma.Experimental Design: We used array experiments to determine copy number variations and sequenced the complete exomes of the 247 lung adenocarcinoma tumo…
View article: Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Methods, Supplementary Figure Legends, and Supplementary Table Legends.
View article: Supplementary Tables 1 - 15 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma
Supplementary Tables 1 - 15 from Genomic Alterations in the RB Pathway Indicate Prognostic Outcomes of Early-Stage Lung Adenocarcinoma Open
Supplementary Tables 1 - 15. Supp. Table 1. Sequenced reads per tumor and normal sample. Supp. Table 2. Comparison of significantly mutated genes detected using various MuTect thresholds. Supp. Table 3. Comparison of the number and rate of…
View article: Kernel Code Integrity Protection at the Physical Address Level on RISC-V
Kernel Code Integrity Protection at the Physical Address Level on RISC-V Open
An operating system kernel has the highest privilege in most computer systems, making its code integrity critical to the entire system's security. Failure to protect the kernel code integrity allows an attacker to modify the kernel co…
View article: Subgroups of Eating Behavior Traits Independent of Obesity Defined Using Functional Connectivity and Feature Representation Learning
Subgroups of Eating Behavior Traits Independent of Obesity Defined Using Functional Connectivity and Feature Representation Learning Open
A bstract Eating behavior is highly heterogeneous across individuals, and thus, it cannot be fully explained using only the degree of obesity. We utilized unsupervised machine learning and functional connectivity measures to explore the he…
View article: Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware
Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware Open
While convolutional neural networks (CNNs) continue to renew state-of-the-art performance across many fields of machine learning, their hardware implementations tend to be very costly and inflexible. Neuromorphic hardware, on the other han…
View article: RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation Open
Lightweight neural networks that employ depthwise convolution have a significant computational advantage over those that use standard convolution because they involve fewer parameters; however, they also require more time, even with graphi…
View article: IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays
IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays Open
Resistive Crossbar Arrays present an elegant implementation solution for Deep Neural Networks acceleration. The Matrix-Vector Multiplication, which is the corner-stone of DNNs, is carried out in O(1) compared to O(N2) steps for digital rea…
View article: RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation Open
We introduce Repetition-Reduction network (RRNet) for resource-constrained depth estimation, offering significantly improved efficiency in terms of computation, memory and energy consumption. The proposed method is based on repetition-redu…
View article: The genome of common long-arm octopus <i>Octopus minor</i>
The genome of common long-arm octopus <i>Octopus minor</i> Open
Background The common long-arm octopus (Octopus minor) is found in mudflats of subtidal zones and faces numerous environmental challenges. The ability to adapt its morphology and behavioral repertoire to diverse environmental conditions ma…
View article: Practical Method to Extract Azimuth Angle of Target for Air-Borne Antenna Hybrid Mono-Pulse Radar System
Practical Method to Extract Azimuth Angle of Target for Air-Borne Antenna Hybrid Mono-Pulse Radar System Open
The accuracy of extracting the azimuth angle of a target is significantly affected by the error in the mono-pulse ratio of the air-borne antenna hybrid mono-pulse Radar system. This error is strongly induced by the phase imbalance between …
View article: Another reason for non-neutrality of financial liquidity
Another reason for non-neutrality of financial liquidity Open
This paper reinterprets the non-neutrality of financial liquidity under a general equilibrium model with multiple financial liquidities, but without price stickiness. Non-neutrality opens the possibility of effective monetary or financial …