Wensheng Zhang

research

∙ 05/15/2023

Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence modeling

The increasing size of language models raises great research interests i...

0 Yunqi Zhu, et al. ∙

research

∙ 05/03/2023

Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition

Self-supervised skeleton-based action recognition enjoys a rapid growth ...

0 Ding Li, et al. ∙

research

∙ 02/17/2023

Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning

Domain adaptation manages to transfer the knowledge of well-labeled sour...

10 Lei Tian, et al. ∙

research

∙ 02/08/2023

Leveraging Summary Guidance on Medical Report Summarization

This study presents three deidentified large medical text datasets, name...

0 Yunqi Zhu, et al. ∙

research

∙ 10/09/2022

Constrained Maximum Cross-Domain Likelihood for Domain Generalization

As a recent noticeable topic, domain generalization aims to learn a gene...

0 Jianxin Lin, et al. ∙

research

∙ 09/17/2022

Mitigating Both Covariate and Conditional Shift for Domain Generalization

Domain generalization (DG) aims to learn a model on several source domai...

0 Jianxin Lin, et al. ∙

research

∙ 08/31/2022

Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization

Temporal Action Localization (TAL) aims to predict both action category ...

6 Ding Li, et al. ∙

research

∙ 08/31/2022

Attentive pooling for Group Activity Recognition

In group activity recognition, hierarchical framework is widely adopted ...

0 Ding Li, et al. ∙

research

∙ 06/20/2022

Variational Distillation for Multi-View Learning

Information Bottleneck (IB) based multi-view learning provides an inform...

0 Xudong Tian, et al. ∙

research

∙ 06/10/2022

Deep Multi-view Semi-supervised Clustering with Sample Pairwise Constraints

Multi-view clustering has attracted much attention thanks to the capacit...

0 Rui Chen, et al. ∙

research

∙ 06/06/2022

Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference

When neural network model and data are outsourced to cloud server for in...

0 Pinglan Liu, et al. ∙

research

∙ 02/12/2022

Improving Fraud detection via Hierarchical Attention-based Graph Neural Network

Graph neural networks (GNN) have emerged as a powerful tool for fraud de...

0 Yajing Liu, et al. ∙

research

∙ 02/08/2022

Differentiable N-gram Objective on Abstractive Summarization

ROUGE is a standard automatic evaluation metric based on n-grams for seq...

0 Yunqi Zhu, et al. ∙

research

∙ 12/08/2021

Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization

Kernel principal component analysis (KPCA) is a well-recognized nonlinea...

0 Zelin Ren, et al. ∙

research

∙ 11/04/2021

Multi-scale 2D Representation Learning for weakly-supervised moment retrieval

Video moment retrieval aims to search the moment most relevant to a give...

0 Ding Li, et al. ∙

research

∙ 11/04/2021

TEE-based Selective Testing of Local Workers in Federated Learning Systems

This paper considers a federated learning system composed of a central c...

0 Wensheng Zhang, et al. ∙

research

∙ 05/24/2021

Towards Book Cover Design via Layout Graphs

Book covers are intentionally designed and provide an introduction to a ...

0 Wensheng Zhang, et al. ∙

research

∙ 03/11/2021

Optimizing Fund Allocation for Game-based Verifiable Computation Outsourcing

This paper considers the setting where a cloud server services a static ...

0 Pinglan Liu, et al. ∙

research

∙ 12/16/2020

Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation

The Travelling Thief Problem (TTP) is a challenging combinatorial optimi...

0 Lei Yang, et al. ∙

research

∙ 06/15/2020

Robust Locality-Aware Regression for Labeled Data Classification

With the dramatic increase of dimensions in the data representation, ext...

0 Liangchen Hu, et al. ∙

research

∙ 03/20/2020

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

Domain adaptation has been a fundamental technology for transferring kno...

6 Lei Tian, et al. ∙

research

∙ 08/20/2019

Consistent Scale Normalization for Object Recognition

Scale variation remains a challenge problem for object detection. Common...

0 Zewen He, et al. ∙

research

∙ 07/03/2018

Industrial Big Data Analytics: Challenges, Methodologies, and Applications

While manufacturers have been generating highly distributed data from va...

0 JunPing Wang, et al. ∙

research

∙ 07/01/2018

Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control

Generating sequential decision process from huge amounts of measured pro...

0 JunPing Wang, et al. ∙

research

∙ 05/25/2018

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces

Policy evaluation with linear function approximation is an important pro...

0 Haifang Li, et al. ∙

research

∙ 09/27/2017

Effective Image Retrieval via Multilinear Multi-index Fusion

Multi-index fusion has demonstrated impressive performances in retrieval...

0 Zhizhong Zhang, et al. ∙

research

∙ 09/15/2017

Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization

Most recently, tensor-SVD is implemented on multi-view self-representati...

0 Yanyun Qu, et al. ∙

research

∙ 05/02/2017

Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks

We propose an automatic diabetic retinopathy (DR) analysis algorithm bas...

0 Yehui Yang, et al. ∙

research

∙ 10/23/2016

On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization

In this paper, we address the multi-view subspace clustering problem. Ou...

0 Yuan Xie, et al. ∙

research

∙ 12/03/2015

Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction

Low rank matrix approximation (LRMA), which aims to recover the underlyi...

0 Yuan Xie, et al. ∙

research

∙ 09/07/2015

A New Low-Rank Tensor Model for Video Completion

In this paper, we propose a new low-rank tensor model based on the circu...

0 Wenrui Hu, et al. ∙

research

∙ 01/17/2014

Distortion-driven Turbulence Effect Removal using Variational Model

It remains a challenge to simultaneously remove geometric distortion and...

0 Yuan Xie, et al. ∙

Wensheng Zhang

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