b'Jiaqi Zhang'

research

∙ 09/14/2023

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation

Learning a recommender system model from an item's raw modality features...

0 Jiaqi Zhang, et al. ∙

research

∙ 09/13/2023

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels

Recommender systems (RS) have achieved significant success by leveraging...

0 Yu Cheng, et al. ∙

research

∙ 08/04/2023

Model Provenance via Model DNA

Understanding the life cycle of the machine learning (ML) model is an in...

0 Xin Mu, et al. ∙

research

∙ 07/12/2023

Identifiability Guarantees for Causal Disentanglement from Soft Interventions

Causal disentanglement aims to uncover a representation of data using la...

0 Jiaqi Zhang, et al. ∙

research

∙ 06/26/2023

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

Gaussian process regression (GPR) is a non-parametric model that has bee...

0 Jinglong Luo, et al. ∙

research

∙ 05/24/2023

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights

Adapters, a plug-in neural network module with some tunable parameters, ...

0 Junchen Fu, et al. ∙

research

∙ 05/19/2023

Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

Text-based collaborative filtering (TCF) has become the mainstream appro...

0 Ruyu Li, et al. ∙

research

∙ 09/10/2022

Active Learning for Optimal Intervention Design in Causal Models

An important problem across disciplines is the discovery of intervention...

0 Jiaqi Zhang, et al. ∙

research

∙ 06/29/2022

Decision Forest Based EMG Signal Classification with Low Volume Dataset Augmented with Random Variance Gaussian Noise

Electromyography signals can be used as training data by machine learnin...

3 Tekin Gunasar, et al. ∙

research

∙ 03/30/2022

Polarized deep diffractive neural network for classification, generation, multiplexing and de-multiplexing of orbital angular momentum modes

The multiplexing and de-multiplexing of orbital angular momentum (OAM) b...

0 Jiaqi Zhang, et al. ∙

research

∙ 01/19/2022

RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference

Human activity analysis based on sensor data plays a significant role in...

0 Yao Yao, et al. ∙

research

∙ 11/26/2021

Simple Contrastive Representation Adversarial Learning for NLP Tasks

Self-supervised learning approach like contrastive learning is attached ...

0 Deshui Miao, et al. ∙

research

∙ 11/09/2021

Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives

Background: Electronic Health Records (EHRs) contain rich information of...

0 Ziyi Liu, et al. ∙

research

∙ 07/28/2021

Subjective evaluation of traditional and learning-based image coding methods

We conduct a subjective experiment to compare the performance of traditi...

0 Zhigao Fang, et al. ∙

research

∙ 07/05/2021

Matching a Desired Causal State via Shift Interventions

Transforming a causal system from a given initial state to a desired tar...

0 Jiaqi Zhang, et al. ∙

research

∙ 05/14/2021

Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence

Information compression is essential to reduce communication cost in dis...

10 Jiaqi Zhang, et al. ∙

research

∙ 04/12/2021

Optimizing the Whole-life Cost in End-to-end CNN Acceleration

The acceleration of CNNs has gained increasing atten-tion since their su...

10 Jiaqi Zhang, et al. ∙

research

∙ 09/02/2020

DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

To conduct a radiomics or deep learning research experiment, the radiolo...

16 Lufan Chang, et al. ∙

research

∙ 03/29/2020

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

This research proposes a Ground Penetrating Radar (GPR) data processing ...

7 Senlin Yang, et al. ∙

research

∙ 03/01/2020

Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

This paper proposes a fully asynchronous scheme for policy evaluation of...

0 Xingyu Sha, et al. ∙

research

∙ 02/18/2020

Distributed Adaptive Newton Methods with Globally Superlinear Convergence

This paper considers the distributed optimization problem over a network...

0 Jiaqi Zhang, et al. ∙

research

∙ 11/29/2019

Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models

Because tensor data appear more and more frequently in various scientifi...

0 Jiaqi Zhang, et al. ∙

research

∙ 11/29/2019

Sparse and Low-Rank Tensor Regression via Parallel Proximal Method

Motivated by applications in various scientific fields having demand of ...

0 Jiaqi Zhang, et al. ∙

research

∙ 09/22/2019

Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks

This paper proposes a distributed conjugate gradient tracking algorithm ...

0 Jiaqi Zhang, et al. ∙

research

∙ 09/06/2019

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization

This paper studies a decentralized stochastic gradient tracking (DSGT) a...

0 Jiaqi Zhang, et al. ∙

research

∙ 09/06/2019

Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization

Recent works have shown superiorities of decentralized SGD to centralize...

0 Jiaqi Zhang, et al. ∙

research

∙ 02/12/2019

A system for generating complex physically accurate sensor images for automotive applications

We describe an open-source simulator that creates sensor irradiance and ...

0 Zhenyi Liu, et al. ∙

research

∙ 01/24/2019

Asynchronous Decentralized Optimization in Directed Networks

A popular asynchronous protocol for decentralized optimization is random...

0 Jiaqi Zhang, et al. ∙

research

∙ 11/01/2018

Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks

Semantic segmentation is one of the basic topics in computer vision, it ...

0 Shuangting Liu, et al. ∙

research

∙ 08/13/2018

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

This paper proposes a novel exact asynchronous subgradient-push algorith...

0 Jiaqi Zhang, et al. ∙

research

∙ 03/29/2017

Efficient Private ERM for Smooth Objectives

In this paper, we consider efficient differentially private empirical ri...

0 Jiaqi Zhang, et al. ∙

Jiaqi Zhang

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