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09/21/2023
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs
Programmers and researchers are increasingly developing surrogates of pr...
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08/30/2023
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
Emotion recognition using electroencephalogram (EEG) mainly has two scen...
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08/14/2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interf...
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06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
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05/06/2023
Generalizability of PRS313 for breast cancer risk amongst non-Europeans in a Los Angeles biobank
Polygenic risk scores (PRS) summarize the combined effect of common risk...
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12/10/2022
Acela: Predictable Datacenter-level Maintenance Job Scheduling
Datacenter operators ensure fair and regular server maintenance by using...
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11/18/2022
High-dimensional covariance matrices under dynamic volatility models: asymptotics and shrinkage estimation
We study the estimation of the high-dimensional covariance matrix andits...
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04/22/2022
SCOPE: Safe Exploration for Dynamic Computer Systems Optimization
Modern computer systems need to execute under strict safety constraints ...
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04/11/2022
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
Sample-efficient machine learning (SEML) has been widely applied to find...
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03/24/2022
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3
We propose a cross-modal co-attention model for continuous emotion recog...
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03/16/2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Datacenters execute large computational jobs, which are composed of smal...
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02/25/2022
CAFQA: Clifford Ansatz For Quantum Accuracy
Variational Quantum Algorithms (VQAs) rely upon the iterative optimizati...
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01/20/2022
Statistical Learning for Individualized Asset Allocation
We establish a high-dimensional statistical learning framework for indiv...
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12/12/2021
Programming with Neural Surrogates of Programs
Surrogates, models that mimic the behavior of programs, form the basis o...
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11/23/2021
Sparse Fusion for Multimodal Transformers
Multimodal classification is a core task in human-centric machine learni...
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10/19/2021
Subsampling Spectral Clustering for Large-Scale Social Networks
Online social network platforms such as Twitter and Sina Weibo have been...
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07/02/2021
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
We propose an audio-visual spatial-temporal deep neural network with: (1...
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05/05/2021
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
In this paper, we propose LGG, a neurologically inspired graph neural ne...
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04/07/2021
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
In this paper, we propose TSception, a multi-scale convolutional neural ...
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03/03/2021
Augmentation Strategies for Learning with Noisy Labels
Imperfect labels are ubiquitous in real-world datasets. Several recent s...
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12/22/2020
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
The identification of nerve is difficult as structures of nerves are cha...
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12/21/2020
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?
When diagnosing the brain tumor, doctors usually make a diagnosis by obs...
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12/21/2020
DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption
The need for medical image encryption is increasingly pronounced, for ex...
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11/08/2020
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Deep Neural Networks (DNNs) have achieved remarkable success in many com...
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08/11/2020
Planimation
Planimation is a modular and extensible open source framework to visuali...
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06/22/2020
A polynomial-time algorithm for learning nonparametric causal graphs
We establish finite-sample guarantees for a polynomial-time algorithm fo...
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04/12/2020
DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
Internet of Medical Things (IoMT) can connect many medical imaging equip...
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04/02/2020
TSception: A Deep Learning Framework for Emotion Detection Using EEG
In this paper, we propose a deep learning framework, TSception, for emot...
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08/09/2019
Minimax Crossover Designs
In crossover experiments, two broad types of treatment effects are typic...
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01/15/2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Sepsis is the leading cause of mortality in the ICU. It is challenging t...
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08/27/2018
Dynamical systems theory for causal inference with application to synthetic control methods
To estimate treatment effects in panel data, suitable control units need...
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05/31/2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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05/30/2018
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
The early detection and early diagnosis of lung cancer are crucial to im...
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08/07/2017