b'Jie Huang'

research

∙ 09/05/2023

Empowering Low-Light Image Enhancer through Customized Learnable Priors

Deep neural networks have achieved remarkable progress in enhancing low-...

0 Naishan Zheng, et al. ∙

research

∙ 08/30/2023

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion

The success of deep neural networks for pan-sharpening is commonly in a ...

0 Man Zhou, et al. ∙

research

∙ 08/29/2023

Bearing-based Formation with Disturbance Rejection

This paper considers the problem of the bearing-based formation control ...

0 Haoshu Cheng, et al. ∙

research

∙ 08/27/2023

Situated Natural Language Explanations

Natural language is among the most accessible tools for explaining decis...

0 Zining Zhu, et al. ∙

research

∙ 08/26/2023

Generalized Lightness Adaptation with Channel Selective Normalization

Lightness adaptation is vital to the success of image processing to avoi...

0 Mingde Yao, et al. ∙

research

∙ 08/23/2023

High-quality Image Dehazing with Diffusion Model

Image dehazing is quite challenging in dense-haze scenarios, where quite...

0 Hu Yu, et al. ∙

research

∙ 08/15/2023

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

In this paper, we investigate the in-context learning ability of retriev...

0 Jie Huang, et al. ∙

research

∙ 08/13/2023

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

Deep learning methods have shown remarkable performance in image denoisi...

0 Xin Lin, et al. ∙

research

∙ 08/01/2023

Decomposition Ascribed Synergistic Learning for Unified Image Restoration

Learning to restore multiple image degradations within a single model is...

0 Jinghao Zhang, et al. ∙

research

∙ 07/05/2023

Citation: A Key to Building Responsible and Accountable Large Language Models

Large Language Models (LLMs) bring transformative benefits alongside uni...

0 Jie Huang, et al. ∙

research

∙ 05/24/2023

Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation

When answering complex questions, large language models (LLMs) may produ...

0 Nishant Balepur, et al. ∙

research

∙ 05/22/2023

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

The advancement of large language models (LLMs) brings notable improveme...

0 Hanyin Shao, et al. ∙

research

∙ 05/19/2023

CCGen: Explainable Complementary Concept Generation in E-Commerce

We propose and study Complementary Concept Generation (CCGen): given a c...

0 Jie Huang, et al. ∙

research

∙ 05/05/2023

Expository Text Generation: Imitate, Retrieve, Paraphrase

Expository documents are vital resources for conveying complex informati...

0 Nishant Balepur, et al. ∙

research

∙ 04/20/2023

Why Does ChatGPT Fall Short in Answering Questions Faithfully?

Recent advancements in Large Language Models, such as ChatGPT, have demo...

0 Shen Zheng, et al. ∙

research

∙ 04/08/2023

Region-Aware Portrait Retouching with Sparse Interactive Guidance

Portrait retouching aims to improve the aesthetic quality of input portr...

0 Huimin Zeng, et al. ∙

research

∙ 03/29/2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration

In this paper, orthogonal to the existing data and model studies, we ins...

3 Man Zhou, et al. ∙

research

∙ 03/29/2023

Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration

Image and video restoration has achieved a remarkable leap with the adve...

7 Man Zhou, et al. ∙

research

∙ 12/20/2022

DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships

In this paper, we propose DimonGen, which aims to generate diverse sente...

0 Chenzhengyi Liu, et al. ∙

research

∙ 12/20/2022

Towards Reasoning in Large Language Models: A Survey

Reasoning is a fundamental aspect of human intelligence that plays a cru...

0 Jie Huang, et al. ∙

research

∙ 11/20/2022

VER: Learning Natural Language Representations for Verbalizing Entities and Relations

Entities and relationships between entities are vital in the real world....

0 Jie Huang, et al. ∙

research

∙ 10/22/2022

MetaASSIST: Robust Dialogue State Tracking with Meta Learning

Existing dialogue datasets contain lots of noise in their state annotati...

0 Fanghua Ye, et al. ∙

research

∙ 10/16/2022

Coordinated Topic Modeling

We propose a new problem called coordinated topic modeling that imitates...

0 Pritom Saha Akash, et al. ∙

research

∙ 10/11/2022

Deep Fourier Up-Sampling

Existing convolutional neural networks widely adopt spatial down-/up-sam...

11 Man Zhou, et al. ∙

research

∙ 10/11/2022

Can Language Models Be Specific? How?

A good speaker not only needs to be correct, but also has the ability to...

0 Jie Huang, et al. ∙

research

∙ 09/06/2022

CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal

The key to shadow removal is recovering the contents of the shadow regio...

0 Qianhao Yu, et al. ∙

research

∙ 07/15/2022

Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images

Low-light image enhancement is an inherently subjective process whose ta...

0 Naishan Zheng, et al. ∙

research

∙ 07/14/2022

Source-Free Domain Adaptation for Real-world Image Dehazing

Deep learning-based source dehazing methods trained on synthetic dataset...

0 Hu Yu, et al. ∙

research

∙ 05/25/2022

Are Large Pre-Trained Language Models Leaking Your Personal Information?

Large Pre-Trained Language Models (PLMs) have facilitated and dominated ...

0 Jie Huang, et al. ∙

research

∙ 05/21/2022

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities

In this paper, we propose Descriptive Knowledge Graph (DKG) - an open an...

12 Jie Huang, et al. ∙

research

∙ 04/20/2022

An unsupervised approach for semantic place annotation of trajectories based on the prior probability

Semantic place annotation can provide individual semantics, which can be...

0 Junyi Cheng, et al. ∙

research

∙ 03/19/2022

Domain Representative Keywords Selection: A Probabilistic Approach

We propose a probabilistic approach to select a subset of a target domai...

0 Pritom Saha Akash, et al. ∙

research

∙ 03/02/2022

CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images

In the context of Earth observation, the detection of changes is perform...

0 Jin-Ju Wang, et al. ∙

research

∙ 11/14/2021

CDM: Combining Extraction and Generation for Definition Modeling

Definitions are essential for term understanding. Recently, there is an ...

0 Jie Huang, et al. ∙

research

∙ 08/20/2021

Open Relation Modeling: Learning to Define Relations between Entities

Relations between entities can be represented by different instances, e....

2 Jie Huang, et al. ∙

research

∙ 05/27/2021

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach

We propose to measure fine-grained domain relevance - the degree that a ...

12 Jie Huang, et al. ∙

research

∙ 05/11/2021

EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration

Image deblurring has seen a great improvement with the development of de...

0 Ruikang Xu, et al. ∙

research

∙ 04/24/2021

A Multi-Size Neural Network with Attention Mechanism for Answer Selection

Semantic matching is of central significance to the answer selection tas...

0 Jie Huang, et al. ∙

research

∙ 10/05/2020

Exploring Semantic Capacity of Terms

We introduce and study semantic capacity of terms. For example, the sema...

4 Jie Huang, et al. ∙

research

∙ 07/22/2020

Output Based Adaptive Distributed Output Observer for Leader-follower Multiagent Systems

The adaptive distributed observer approach has been an effective tool fo...

0 He Cai, et al. ∙

research

∙ 02/28/2020

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

The standardization process of the fifth generation (5G) wireless commun...

0 Jie Huang, et al. ∙

research

∙ 01/11/2020

A Game Generative Network Framework with its Application to Relationship Inference

A game process is a system where the decisions of one agent can influenc...

0 Jie Huang, et al. ∙

research

∙ 08/24/2019

Hyper-Path-Based Representation Learning for Hyper-Networks

Network representation learning has aroused widespread interests in rece...

0 Jie Huang, et al. ∙

research

∙ 10/03/2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

This paper reviews the first challenge on efficient perceptual image enh...

2 Andrey Ignatov, et al. ∙

research

∙ 05/28/2018

ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing

This article proposes an edge content delivery framework (ECD) based on ...

0 Shangguang Wang, et al. ∙

research

∙ 01/30/2018

Video-based Sign Language Recognition without Temporal Segmentation

Millions of hearing impaired people around the world routinely use some ...

0 Jie Huang, et al. ∙

research

∙ 02/15/2017

Target assignment for robots constrained by limited communication range

This paper investigates the task assignment problem for multiple dispers...

0 Xiaoshan Bai, et al. ∙

Jie Huang

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