b'Yi Ding'

research

∙ 09/21/2023

Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs

Programmers and researchers are increasingly developing surrogates of pr...

0 Alex Renda, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 08/14/2023

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning

Insufficient data is a long-standing challenge for Brain-Computer Interf...

0 Rui Liu, et al. ∙

research

∙ 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...

0 Haihao Shen, et al. ∙

research

∙ 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...

0 Helen Shang, et al. ∙

research

∙ 12/10/2022

Acela: Predictable Datacenter-level Maintenance Job Scheduling

Datacenter operators ensure fair and regular server maintenance by using...

0 Yi Ding, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 04/22/2022

SCOPE: Safe Exploration for Dynamic Computer Systems Optimization

Modern computer systems need to execute under strict safety constraints ...

0 Hyunji Kim, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 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...

0 Su Zhang, et al. ∙

research

∙ 03/16/2022

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction

Datacenters execute large computational jobs, which are composed of smal...

0 Yi Ding, et al. ∙

research

∙ 02/25/2022

CAFQA: Clifford Ansatz For Quantum Accuracy

Variational Quantum Algorithms (VQAs) rely upon the iterative optimizati...

0 Gokul Subramanian Ravi, et al. ∙

research

∙ 01/20/2022

Statistical Learning for Individualized Asset Allocation

We establish a high-dimensional statistical learning framework for indiv...

0 Yi Ding, et al. ∙

research

∙ 12/12/2021

Programming with Neural Surrogates of Programs

Surrogates, models that mimic the behavior of programs, form the basis o...

0 Alex Renda, et al. ∙

research

∙ 11/23/2021

Sparse Fusion for Multimodal Transformers

Multimodal classification is a core task in human-centric machine learni...

0 Yi Ding, et al. ∙

research

∙ 10/19/2021

Subsampling Spectral Clustering for Large-Scale Social Networks

Online social network platforms such as Twitter and Sina Weibo have been...

0 Jiayi Deng, et al. ∙

research

∙ 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...

0 Su Zhang, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 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 ...

14 Yi Ding, et al. ∙

research

∙ 03/03/2021

Augmentation Strategies for Learning with Noisy Labels

Imperfect labels are ubiquitous in real-world datasets. Several recent s...

0 Kento Nishi, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 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...

11 Yi Ding, et al. ∙

research

∙ 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...

0 Mengran Liu, et al. ∙

research

∙ 08/11/2020

Planimation

Planimation is a modular and extensible open source framework to visuali...

18 Gang Chen, et al. ∙

research

∙ 06/22/2020

A polynomial-time algorithm for learning nonparametric causal graphs

We establish finite-sample guarantees for a polynomial-time algorithm fo...

0 Ming Gao, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 08/09/2019

Minimax Crossover Designs

In crossover experiments, two broad types of treatment effects are typic...

0 Guillaume Basse, et al. ∙

research

∙ 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...

0 Xuefeng Peng, et al. ∙

research

∙ 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...

0 Yi Ding, et al. ∙

research

∙ 05/31/2018

Evaluating Reinforcement Learning Algorithms in Observational Health Settings

Much attention has been devoted recently to the development of machine l...

4 Omer Gottesman, et al. ∙

research

∙ 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...

0 Tian Lan, et al. ∙

research

∙ 08/07/2017

Multiresolution Kernel Approximation for Gaussian Process Regression

Gaussian process regression generally does not scale to beyond a few tho...

0 Yi Ding, et al. ∙

Yi Ding

Featured Co-authors