b'Rong Zhang'

research

∙ 04/14/2023

FairRec: Fairness Testing for Deep Recommender Systems

Deep learning-based recommender systems (DRSs) are increasingly and wide...

0 Huizhong Guo, et al. ∙

research

∙ 03/30/2023

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

Recent studies have shown that higher accuracy on ImageNet usually leads...

0 Xiaodan Li, et al. ∙

research

∙ 03/28/2023

TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations

In a transfer-based attack against Automatic Speech Recognition (ASR) sy...

0 Qi Gege, et al. ∙

research

∙ 03/21/2023

Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems

With the development of deep learning technology, the facial manipulatio...

0 Yao Zhu, et al. ∙

research

∙ 02/14/2023

Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events

Delivering customer services through video communications has brought ne...

0 Kam Kwai Wong, et al. ∙

research

∙ 01/23/2023

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development

The field of Question Answering (QA) has made remarkable progress in rec...

0 Avirup Sil, et al. ∙

research

∙ 11/30/2022

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective

Out-Of-Distribution (OOD) detection has received broad attention over th...

0 Yao Zhu, et al. ∙

research

∙ 11/29/2022

Context-Aware Robust Fine-Tuning

Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...

0 Xiaofeng Mao, et al. ∙

research

∙ 10/28/2022

RoChBert: Towards Robust BERT Fine-tuning for Chinese

Despite of the superb performance on a wide range of tasks, pre-trained ...

0 Zihan Zhang, et al. ∙

research

∙ 10/09/2022

Boosting Out-of-distribution Detection with Typical Features

Out-of-distribution (OOD) detection is a critical task for ensuring the ...

0 Yao Zhu, et al. ∙

research

∙ 09/16/2022

Enhance the Visual Representation via Discrete Adversarial Training

Adversarial Training (AT), which is commonly accepted as one of the most...

1 Xiaofeng Mao, et al. ∙

research

∙ 07/11/2022

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification

Imbalanced training data is a significant challenge for medical image cl...

0 Kanghao Chen, et al. ∙

research

∙ 04/20/2022

Synthetic Target Domain Supervision for Open Retrieval QA

Neural passage retrieval is a new and promising approach in open retriev...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 09/10/2021

Counterfactual Adversarial Learning with Representation Interpolation

Deep learning models exhibit a preference for statistical fitting over l...

0 Wei Wang, et al. ∙

research

∙ 06/25/2021

Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval

Cross-modal retrieval aims to enable flexible retrieval experience by co...

0 Xueying Chen, et al. ∙

research

∙ 02/23/2021

Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation

Despite that deep neural networks (DNNs) have achieved enormous success ...

0 Jinfeng Li, et al. ∙

research

∙ 12/14/2020

The Open Brands Dataset: Unified brand detection and recognition at scale

Intellectual property protection(IPP) have received more and more attent...

0 Xuan Jin, et al. ∙

research

∙ 12/07/2020

The Fictitious Domain Method Based on Navier Slip Boundary Condition for Simulation of Flow-Particle Interaction

In this article, we develop a least–squares/fictitious domain method for...

0 Rong Zhang, et al. ∙

research

∙ 12/02/2020

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training

End-to-end question answering (QA) requires both information retrieval (...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 11/06/2020

Answer Span Correction in Machine Reading Comprehension

Answer validation in machine reading comprehension (MRC) consists of ver...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 10/12/2020

Multi-Stage Pre-training for Low-Resource Domain Adaptation

Transfer learning techniques are particularly useful in NLP tasks where ...

0 Rong Zhang, et al. ∙

research

∙ 09/07/2020

TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group

Tax evasion is a serious economic problem for many countries, as it can ...

0 Yating Lin, et al. ∙

research

∙ 12/16/2019

Lauca: Generating Application-Oriented Synthetic Workloads

The synthetic workload is essential and critical to the performance eval...

0 Yuming Li, et al. ∙

research

∙ 11/08/2019

The TechQA Dataset

We introduce TechQA, a domain-adaptation question answering dataset for ...

0 Vittorio Castelli, et al. ∙

research

∙ 09/07/2019

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

With increasing popularity in online learning, a surge of E-learning pla...

0 Meng Xia, et al. ∙

research

∙ 06/02/2019

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

High accuracy video label prediction (classification) models are attribu...

0 Feng Mao, et al. ∙

research

∙ 03/28/2019

Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation

Liver lesion segmentation is a difficult yet critical task for medical i...

0 Xueying Chen, et al. ∙

research

∙ 01/23/2019

AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms

Simulation systems have become an essential component in the development...

16 Wei Li, et al. ∙

research

∙ 01/20/2019

Deep Features Analysis with Attention Networks

Deep neural network models have recently draw lots of attention, as it c...

0 Shipeng Xie, et al. ∙

research

∙ 11/14/2018

Mathematical Modeling of Arterial Blood Pressure Using Photo-Plethysmography Signal in Breath-hold Maneuver

Recent research has shown that each apnea episode results in a significa...

0 Armin Soltan Zadi, et al. ∙

research

∙ 11/14/2018

Arterial Blood Pressure Feature Estimation Using Photoplethysmography

Continuous and noninvasive monitoring of blood pressure has numerous cli...

1 Armin Soltan Zadi, et al. ∙

research

∙ 07/17/2018

Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications

We propose a regularized zero-forcing transmit precoding (RZF-TPC) aided...

0 Jiankang Zhang, et al. ∙

research

∙ 06/15/2018

Differential Evolution Algorithm Aided Turbo Channel Estimation and Multi-User Detection for G.Fast Systems in the Presence of FEXT

The ever-increasing demand for broadband Internet access has motivated t...

0 Jiankang Zhang, et al. ∙

research

∙ 04/05/2018

Review of Deep Learning

In recent years, China, the United States and other countries, Google an...

0 Rong Zhang, et al. ∙

research

∙ 11/25/2017

Adaptive Coding and Modulation for Large-Scale Antenna Array Based Aeronautical Communications in the Presence of Co-channel Interference

In order to meet the demands of `Internet above the clouds', we propose ...

0 Jiankang Zhang, et al. ∙

research

∙ 11/22/2017

An influence-based fast preceding questionnaire model for elderly assessments

To improve the efficiency of elderly assessments, an influence-based fas...

0 Tong Mo, et al. ∙

Rong Zhang

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