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07/31/2023
AutoModel: Automatic Synthesis of Models from Communication Traces of SoC Designs
Modeling system-level behaviors of intricate System-on-Chip (SoC) design...
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07/28/2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Driven by the latest trend towards self-supervised learning (SSL), the p...
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07/25/2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
Predicting lower limb motion intent is vital for controlling exoskeleton...
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07/09/2023
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
Understanding comprehensive assembly knowledge from videos is critical f...
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05/19/2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Pre-trained vision-language models have inspired much research on few-sh...
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05/17/2023
CageViT: Convolutional Activation Guided Efficient Vision Transformer
Recently, Transformers have emerged as the go-to architecture for both v...
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03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
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03/06/2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images
To achieve fast, robust, and accurate reconstruction of the human cortic...
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01/27/2023
Deep Clustering Survival Machines with Interpretable Expert Distributions
Conventional survival analysis methods are typically ineffective to char...
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01/11/2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks
TAPS is a Topology-Aware intra-operator Parallelism strategy Searching a...
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12/12/2022
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning
Compositional generalization is a basic mechanism in human language lear...
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11/16/2022
Keep Your Friends Close Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Understanding of spatial attributes is central to effective 3D radiology...
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11/15/2022
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning
High annotation costs and limited labels for dense 3D medical imaging ta...
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11/11/2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
The binding problem is one of the fundamental challenges that prevent th...
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09/12/2022
Mining SoC Message Flows with Attention Model
High-quality system-level message flow specifications are necessary for ...
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07/11/2022
Counterexample Generation for Infinite-State Chemical Reaction Networks
Counterexample generation is an indispensable part of model checking pro...
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07/01/2022
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
We aim to quantitatively measure the practical usability of medical imag...
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03/09/2022
Deep Bidirectional Transformers for SoC Flow Specification Mining
High-quality system-level message flow specifications can lead to compre...
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02/13/2022
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
Purpose: Bronchoscopic intervention is a widely-used clinical technique ...
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01/29/2022
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding
Airway segmentation is critical for virtual bronchoscopy and computer-ai...
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10/09/2021
Disentangled Sequence to Sequence Learning for Compositional Generalization
There is mounting evidence that existing neural network models, in parti...
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09/07/2021
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
3D Convolutional Neural Networks (CNNs) have been widely adopted for air...
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07/10/2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
A large labeled dataset is a key to the success of supervised deep learn...
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06/01/2021
LenAtten: An Effective Length Controlling Unit For Text Summarization
Fixed length summarization aims at generating summaries with a preset nu...
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03/18/2021
Tools and Algorithms for SoC Communication Traces
In this paper, we study seven well-known trace analysis techniques both ...
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02/13/2021
Model Synthesis for Communication Traces of System-on-Chip Designs
Concise and abstract models of system-level behaviors are invaluable in ...
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12/17/2020
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Automatic histopathology image segmentation is crucial to disease analys...
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12/10/2020
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
Training convolutional neural networks (CNNs) for segmentation of pulmon...
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11/24/2020
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
Automated airway segmentation is a prerequisite for pre-operative diagno...
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10/22/2020
Compositional Generalization via Semantic Tagging
Although neural sequence-to-sequence models have been successfully appli...
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06/05/2020
Brain-inspired global-local hybrid learning towards human-like intelligence
The combination of neuroscience-oriented and computer-science-oriented a...
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05/22/2020
Mining Message Flows from System-on-Chip Execution Traces
Comprehensive and well-defined specifications are necessary to perform r...
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05/06/2020
A Post-Silicon Trace Analysis Approach for System-on-Chip Protocol Debug
Reconstructing system-level behavior from silicon traces is a critical p...
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04/30/2020
Using Decision Diagrams to Compactly Represent the State Space for Explicit Model Checking
The enormous number of states reachable during explicit model checking i...
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04/30/2020
Local State Space Analysis to Assist Partial Order Reduction
This paper presents an approach to more efficient partial order reductio...
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04/29/2020
Mining Message Flows using Recurrent Neural Networks for System-on-Chip Designs
Comprehensive specifications are essential for various activities across...
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07/17/2019
A Communication-Centric Observability Selection for Post-Silicon System-on-Chip Integration Debug
Reconstruction of how components communicate with each other during syst...
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07/16/2019
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Airway segmentation on CT scans is critical for pulmonary disease diagno...
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06/08/2019
Sentence Centrality Revisited for Unsupervised Summarization
Single document summarization has enjoyed renewed interests in recent ye...
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06/01/2019
STAMINA: STochastic Approximate Model-checker for INfinite-state Analysis
Stochastic model checking is a technique for analyzing systems that poss...
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02/28/2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
Supervised training a deep neural network aims to "teach" the network to...
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01/15/2019
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
The Encoder-Decoder architecture is a main stream deep learning model fo...
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12/10/2018
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
3D image segmentation plays an important role in biomedical image analys...
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10/13/2018
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
Chromosome classification is critical for karyotyping in abnormality dia...
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06/28/2018
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation
Instance segmentation in 3D images is a fundamental task in biomedical i...
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06/02/2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation
In recent years, deep learning (DL) methods have become powerful tools f...
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03/27/2018
MLE-induced Likelihood for Markov Random Fields
Due to the intractable partition function, the exact likelihood function...
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09/16/2017