b'Shuai Zhao'

research

∙ 05/29/2023

Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models

Misalignment between the outputs of a vision-language (VL) model and tas...

0 Shuai Zhao, et al. ∙

research

∙ 05/23/2023

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

Pre-trained vision-language models are the de-facto foundation models fo...

0 Shuai Zhao, et al. ∙

research

∙ 05/02/2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

The prompt-based learning paradigm, which bridges the gap between pre-tr...

0 Shuai Zhao, et al. ∙

research

∙ 03/02/2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding

Fine-tuning is widely used as the default algorithm for transfer learnin...

0 Yingting Li, et al. ∙

research

∙ 01/02/2023

Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks

For Prognostics and Health Management (PHM) of Lithium-ion (Li-ion) batt...

1 Pengfei Wen, et al. ∙

research

∙ 12/08/2022

AutoPINN: When AutoML Meets Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have recently been proposed to ...

0 Xinle Wu, et al. ∙

research

∙ 11/04/2022

A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

The substitute-based recommendation is widely used in E-commerce to prov...

0 Wenting Ye, et al. ∙

research

∙ 10/22/2022

Generative Prompt Tuning for Relation Classification

Using prompts to explore the knowledge contained within pre-trained lang...

0 Jiale Han, et al. ∙

research

∙ 09/30/2022

Slimmable Networks for Contrastive Self-supervised Learning

Self-supervised learning makes great progress in large model pre-trainin...

57 Shuai Zhao, et al. ∙

research

∙ 08/29/2022

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning

Multi-view learning has progressed rapidly in recent years. Although man...

6 Pengfei Zhu, et al. ∙

research

∙ 07/28/2022

Learning Personalized Representations using Graph Convolutional Network

Generating representations that precisely reflect customers' behavior is...

15 Hongyu Shen, et al. ∙

research

∙ 05/30/2022

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Building robust multimodal models are crucial for achieving reliable dep...

6 Devamanyu Hazarika, et al. ∙

research

∙ 05/04/2022

Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)

Few-shot relation learning refers to infer facts for relations with a li...

2 Yi Liang, et al. ∙

research

∙ 05/02/2022

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

Recently, large-scale pre-training methods like CLIP have made great pro...

3 Shuai Zhao, et al. ∙

research

∙ 03/22/2022

WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models

Compared with the domain-specific model, the vision-language pre-trainin...

0 Sha Yuan, et al. ∙

research

∙ 09/22/2021

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

Despite the success of neural dialogue systems in achieving high perform...

0 Xu Wang, et al. ∙

research

∙ 06/09/2021

Attacking Adversarial Attacks as A Defense

It is well known that adversarial attacks can fool deep neural networks ...

11 Boxi Wu, et al. ∙

research

∙ 04/01/2021

Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering

Question Answering (QA) models over Knowledge Bases (KBs) are capable of...

0 Xu Wang, et al. ∙

research

∙ 03/10/2021

ES-Net: Erasing Salient Parts to Learn More in Re-Identification

As an instance-level recognition problem, re-identification (re-ID) requ...

7 Dong Shen, et al. ∙

research

∙ 11/30/2020

SplitNet: Divide and Co-training

The width of a neural network matters since increasing the width will ne...

10 Shuai Zhao, et al. ∙

research

∙ 10/10/2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework

To deploy a pre-trained deep CNN on resource-constrained mobile devices,...

46 Wenxiao Wang, et al. ∙

research

∙ 09/10/2020

Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems

Evolutionary methods are effective tools for obtaining high-quality resu...

0 Michal Witold Przewozniczek, et al. ∙

research

∙ 02/16/2020

To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement

The fast growing ad-blocker usage results in large revenue decrease for ...

0 Shuai Zhao, et al. ∙

research

∙ 01/04/2020

Adversarial-Learned Loss for Domain Adaptation

Recently, remarkable progress has been made in learning transferable rep...

0 Minghao Chen, et al. ∙

research

∙ 12/21/2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration

Neural network pruning is one of the most popular methods of acceleratin...

0 Wenxiao Wang, et al. ∙

research

∙ 11/29/2019

Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation

This paper considers manufacturing planning and scheduling of manufactur...

0 Shuai Zhao, et al. ∙

research

∙ 10/26/2019

Region Mutual Information Loss for Semantic Segmentation

Semantic segmentation is a fundamental problem in computer vision. It is...

0 Shuai Zhao, et al. ∙

research

∙ 10/19/2019

Correlation Maximized Structural Similarity Loss for Semantic Segmentation

Most semantic segmentation models treat semantic segmentation as a pixel...

0 Shuai Zhao, et al. ∙

research

∙ 10/08/2019

An XML-based Factory Description Language for Smart Manufacturing Plants in Industry 4.0

Industry 4.0 revolution concerns the digital transformation of manufactu...

0 Shuai Zhao, et al. ∙

research

∙ 10/08/2019

Integrated Process Planning and Scheduling in Commercial Smart Kitchens

This paper describes the possibility of applying a generic, cloud-based ...

0 Piotr Dziurzanski, et al. ∙

research

∙ 07/16/2019

Improving Semantic Segmentation via Dilated Affinity

Introducing explicit constraints on the structural predictions has been ...

6 Boxi Wu, et al. ∙

research

∙ 05/07/2019

Model Based System Assurance Using the Structured Assurance Case Metamodel

Assurance cases are used to demonstrate confidence in system properties ...

0 Ran Wei, et al. ∙

research

∙ 10/16/2018

Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

Applying Machine Learning (ML) to business applications for automation u...

0 Shuai Zhao, et al. ∙

Shuai Zhao

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