b'Hong Wang'

research

∙ 05/24/2023

Predicting Token Impact Towards Efficient Vision Transformer

Token filtering to reduce irrelevant tokens prior to self-attention is a...

0 Hong Wang, et al. ∙

research

∙ 05/16/2023

Self-Aware Trajectory Prediction for Safe Autonomous Driving

Trajectory prediction is one of the key components of the autonomous dri...

0 Wenbo Shao, et al. ∙

research

∙ 05/10/2023

Bot or Human? Detecting ChatGPT Imposters with A Single Question

Large language models like ChatGPT have recently demonstrated impressive...

0 Hong Wang, et al. ∙

research

∙ 02/28/2023

Interactive Segmentation as Gaussian Process Classification

Click-based interactive segmentation (IS) aims to extract the target obj...

0 Minghao Zhou, et al. ∙

research

∙ 02/10/2023

XFL: A High Performace, Lightweighted Federated Learning Framework

This paper introduces XFL, an industrial-grade federated learning projec...

1 Hong Wang, et al. ∙

research

∙ 01/27/2023

A fast computational framework for the linear bond-based peridynamic model

Peridynamic (PD) theory is significant and promising in engineering and ...

0 Chenguang Liu, et al. ∙

research

∙ 01/26/2023

Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing

Although a typical autopilot system far surpasses humans in term of sens...

0 Shaobo Qiu, et al. ∙

research

∙ 01/20/2023

When Source-Free Domain Adaptation Meets Label Propagation

Source-free domain adaptation, where only a pre-trained source model is ...

0 Chunwei Wu, et al. ∙

research

∙ 01/11/2023

Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective

Motion prediction is essential for safe and efficient autonomous driving...

0 Wenbo Shao, et al. ∙

research

∙ 01/11/2023

How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?

An accurate trajectory prediction is crucial for safe and efficient auto...

1 Wenbo Shao, et al. ∙

research

∙ 12/26/2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

During X-ray computed tomography (CT) scanning, metallic implants carryi...

0 Hong Wang, et al. ∙

research

∙ 11/25/2022

Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition

Triggered by the success of transformers in various visual tasks, the sp...

0 Jiayin Sun, et al. ∙

research

∙ 11/08/2022

SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving

Autonomous driving confronts great challenges in complex traffic scenari...

0 Liang Peng, et al. ∙

research

∙ 11/07/2022

PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios

Perception algorithms in autonomous driving systems confront great chall...

0 Liang Peng, et al. ∙

research

∙ 10/13/2022

Explanations from Large Language Models Make Small Reasoners Better

Integrating free-text explanations to in-context learning of large langu...

12 Shiyang Li, et al. ∙

research

∙ 10/12/2022

Towards Theoretically Inspired Neural Initialization Optimization

Automated machine learning has been widely explored to reduce human effo...

0 Yibo Yang, et al. ∙

research

∙ 10/09/2022

Controllable Dialogue Simulation with In-Context Learning

Building dialogue systems requires a large corpus of annotated dialogues...

8 Zekun Li, et al. ∙

research

∙ 09/24/2022

Performance Analysis of MIMO-NOMA Systems with Randomly Deployed Users

This paper investigates the performance of Multiple-input multiple-outpu...

0 Zheng Shi, et al. ∙

research

∙ 09/23/2022

Outage Performance Analysis of HARQ-Aided Multi-RIS Systems

Reconfigurable intelligent surface (RIS) has recently attracted a spurt ...

0 Qi Cao, et al. ∙

research

∙ 09/23/2022

Outage Performance Analysis of Full-Correlated Rayleigh MIMO Channels

The outage performance of multiple-input multiple-output (MIMO) techniqu...

0 Huan Zhang, et al. ∙

research

∙ 09/23/2022

Outage Performance and Optimal Design of MIMO-NOMA Enhanced Small Cell Networks With Imperfect Channel-State Information

This paper focuses on boosting the performance of small cell networks (S...

0 Zheng Shi, et al. ∙

research

∙ 09/23/2022

Achievable Diversity Order of HARQ-Aided Downlink NOMA Systems

The combination between non-orthogonal multiple access (NOMA) and hybrid...

0 Zheng Shi, et al. ∙

research

∙ 09/23/2022

Zero-Forcing Based Downlink Virtual MIMO-NOMA Communications in IoT Networks

To support massive connectivity and boost spectral efficiency for intern...

0 Zheng Shi, et al. ∙

research

∙ 09/21/2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Although current deep learning-based methods have gained promising perfo...

0 Jiahong Fu, et al. ∙

research

∙ 09/06/2022

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion

3D Multi-object tracking (MOT) ensures consistency during continuous dyn...

7 Li Wang, et al. ∙

research

∙ 09/06/2022

SIND: A Drone Dataset at Signalized Intersection in China

Intersection is one of the most challenging scenarios for autonomous dri...

1 Yanchao Xu, et al. ∙

research

∙ 08/09/2022

Limitations of Language Models in Arithmetic and Symbolic Induction

Recent work has shown that large pretrained Language Models (LMs) can no...

3 Jing Qian, et al. ∙

research

∙ 07/13/2022

Context-Consistent Semantic Image Editing with Style-Preserved Modulation

Semantic image editing utilizes local semantic label maps to generate th...

0 Wuyang Luo, et al. ∙

research

∙ 05/16/2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Inspired by the great success of deep neural networks, learning-based me...

5 Hong Wang, et al. ∙

research

∙ 04/25/2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles

Self-driving vehicles have their own intelligence to drive on open roads...

0 Jiaxin Liu, et al. ∙

research

∙ 03/22/2022

Analysis and Petrov-Galerkin numerical approximation for variable coefficient two-sided fractional diffusion, advection, reaction equations

In this paper we investigate the variable coefficient two-sided fraction...

0 Xiangcheng Zheng, et al. ∙

research

∙ 02/12/2022

Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment

Motivated by their recent advances, deep learning techniques have been w...

0 Xinyi Liu, et al. ∙

research

∙ 12/23/2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images

During the computed tomography (CT) imaging process, metallic implants w...

17 Hong Wang, et al. ∙

research

∙ 10/28/2021

Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data

Semiparametric joint models of longitudinal and competing risks data are...

0 Shanpeng Li, et al. ∙

research

∙ 07/14/2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

As a common weather, rain streaks adversely degrade the image quality. H...

2 Hong Wang, et al. ∙

research

∙ 06/05/2021

Lifelong Learning of Hate Speech Classification on Social Media

Existing work on automated hate speech classification assumes that the d...

31 Jing Qian, et al. ∙

research

∙ 03/04/2021

Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs

Kidney transplantation can significantly enhance living standards for pe...

0 Mohammadreza Nemati, et al. ∙

research

∙ 02/02/2021

NBSearch: Semantic Search and Visual Exploration of Computational Notebooks

Code search is an important and frequent activity for developers using c...

0 Xingjun Li, et al. ∙

research

∙ 08/26/2020

Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon

Decision-making strategy for autonomous vehicles de-scribes a sequence o...

43 Teng Liu, et al. ∙

research

∙ 08/08/2020

From Rain Removal to Rain Generation

Single image deraining is an important yet challenging issue due to the ...

36 Hong Wang, et al. ∙

research

∙ 07/21/2020

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications

Digital quadruplets aiming to improve road safety, traffic efficiency, a...

13 Teng Liu, et al. ∙

research

∙ 07/16/2020

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study

This work optimizes the highway decision making strategy of autonomous v...

0 Teng Liu, et al. ∙

research

∙ 07/16/2020

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition

Energy management strategies (EMSs) are the most significant components ...

0 Teng Liu, et al. ∙

research

∙ 05/19/2020

Structural Residual Learning for Single Image Rain Removal

To alleviate the adverse effect of rain streaks in image processing task...

9 Hong Wang, et al. ∙

research

∙ 05/04/2020

A Model-driven Deep Neural Network for Single Image Rain Removal

Deep learning (DL) methods have achieved state-of-the-art performance in...

17 Hong Wang, et al. ∙

research

∙ 04/30/2020

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering

To extract answers from a large corpus, open-domain question answering (...

0 Wenhan Xiong, et al. ∙

research

∙ 04/15/2020

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Existing question answering datasets focus on dealing with homogeneous i...

1 Wenhu Chen, et al. ∙

research

∙ 02/06/2020

Optimal Petrov-Galerkin spectral approximation method for the fractional diffusion, advection, reaction equation on a bounded interval

In this paper we investigate the numerical approximation of the fraction...

0 Xiangcheng Zheng, et al. ∙

research

∙ 10/30/2019

Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation

We study the low rank approximation problem of any given matrix A over R...

0 Chen Dan, et al. ∙

research

∙ 09/26/2019

Fine-tune Bert for DocRED with Two-step Process

Modelling relations between multiple entities has attracted increasing a...

0 Hong Wang, et al. ∙

Hong Wang

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