b'Liang Zhao'

research

∙ 09/07/2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty

Open Information Extraction (OIE) task aims at extracting structured fac...

0 Chen Ling, et al. ∙

research

∙ 09/06/2023

Helper Recommendation with seniority control in Online Health Community

Online health communities (OHCs) are forums where patients with similar ...

0 Junruo Gao, et al. ∙

research

∙ 08/30/2023

Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement

Underwater image processing and analysis have been a hotspot of study in...

0 Muhammad Hamza, et al. ∙

research

∙ 08/25/2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction

Despite the recent success of Graph Neural Networks (GNNs), it remains c...

0 Guangji Bai, et al. ∙

research

∙ 07/16/2023

MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning

Numerical software is usually shipped with built-in hyperparameters. By ...

0 Mengyuan Zhang, et al. ∙

research

∙ 06/28/2023

Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting

Food effect summarization from New Drug Application (NDA) is an essentia...

0 Yiwen Shi, et al. ∙

research

∙ 06/06/2023

TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition

Few-shot named entity recognition (NER) exploits limited annotated insta...

0 Jiang Liu, et al. ∙

research

∙ 05/30/2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models

Large language models (LLMs) have significantly advanced the field of na...

1 Chen Ling, et al. ∙

research

∙ 05/30/2023

Graph Neural Network for spatiotemporal data: methods and applications

In the era of big data, there has been a surge in the availability of da...

0 Yun Li, et al. ∙

research

∙ 05/19/2023

Domain Generalization Deep Graph Transformation

Graph transformation that predicts graph transition from one mode to ano...

0 Shiyu Wang, et al. ∙

research

∙ 05/01/2023

Deep Graph Representation Learning and Optimization for Influence Maximization

Influence maximization (IM) is formulated as selecting a set of initial ...

0 Chen Ling, et al. ∙

research

∙ 04/27/2023

Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes

A novel framework for designing the molecular structure of chemical comp...

0 Jianshen Zhu, et al. ∙

research

∙ 03/25/2023

Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey

Advancements in wearable medical devices in IoT technology are shaping t...

0 Fatemeh Mosaiyebzadeh, et al. ∙

research

∙ 02/04/2023

Knowledge-enhanced Neural Machine Reasoning: A Review

Knowledge-enhanced neural machine reasoning has garnered significant att...

0 Tanmoy Chowdhury, et al. ∙

research

∙ 12/31/2022

Fast Approximation of Polynomial Zeros and Matrix Eigenvalues

We approximate the d complex zeros of a univariate polynomial p(x) of a ...

0 Victor Y. Pan, et al. ∙

research

∙ 12/26/2022

Saliency-Augmented Memory Completion for Continual Learning

Continual Learning is considered a key step toward next-generation Artif...

11 Guangji Bai, et al. ∙

research

∙ 12/07/2022

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

As the societal impact of Deep Neural Networks (DNNs) grows, the goals f...

0 Yuyang Gao, et al. ∙

research

∙ 11/19/2022

DeepGAR: Deep Graph Learning for Analogical Reasoning

Analogical reasoning is the process of discovering and mapping correspon...

0 Chen Ling, et al. ∙

research

∙ 11/09/2022

3DFill:Reference-guided Image Inpainting by Self-supervised 3D Image Alignment

Most existing image inpainting algorithms are based on a single view, st...

0 Liang Zhao, et al. ∙

research

∙ 11/01/2022

TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags

So far, discontinuous named entity recognition (NER) has received increa...

0 Jiang Liu, et al. ∙

research

∙ 10/03/2022

Deep Spatial Domain Generalization

Spatial autocorrelation and spatial heterogeneity widely exist in spatia...

9 Dazhou Yu, et al. ∙

research

∙ 10/01/2022

Multi-objective Deep Data Generation with Correlated Property Control

Developing deep generative models has been an emerging field due to the ...

1 Shiyu Wang, et al. ∙

research

∙ 08/08/2022

SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty

Total knee arthroplasty (TKA) is a common orthopaedic surgery to replace...

0 Shuai Zhang, et al. ∙

research

∙ 07/25/2022

COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search

In a number of machine learning models, an input query is searched acros...

0 Che-Kai Liu, et al. ∙

research

∙ 07/22/2022

Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data

Classification on long-tailed distributed data is a challenging problem,...

6 Taha ValizadehAslani, et al. ∙

research

∙ 07/19/2022

Controllable Data Generation by Deep Learning: A Review

Designing and generating new data under targeted properties has been att...

6 Shiyu Wang, et al. ∙

research

∙ 07/07/2022

Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework

In teleradiology, medical images are transmitted to offsite radiologists...

0 Jiyoun Randolph, et al. ∙

research

∙ 07/03/2022

Saliency-Regularized Deep Multi-Task Learning

Multitask learning is a framework that enforces multiple learning tasks ...

5 Guangji Bai, et al. ∙

research

∙ 06/27/2022

RES: A Robust Framework for Guiding Visual Explanation

Despite the fast progress of explanation techniques in modern Deep Neura...

9 Yuyang Gao, et al. ∙

research

∙ 06/24/2022

Deep Generation of Heterogeneous Networks

Heterogeneous graphs are ubiquitous data structures that can inherently ...

0 Chen Ling, et al. ∙

research

∙ 06/24/2022

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems

Graph diffusion problems such as the propagation of rumors, computer vir...

8 Chen Ling, et al. ∙

research

∙ 06/18/2022

An Invertible Graph Diffusion Neural Network for Source Localization

Localizing the source of graph diffusion phenomena, such as misinformati...

2 Junxiang Wang, et al. ∙

research

∙ 05/31/2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization

Despite the recent success of Graph Neural Networks (GNNs), it remains c...

22 Zheng Chai, et al. ∙

research

∙ 05/21/2022

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network

Temporal domain generalization is a promising yet extremely challenging ...

1 Guangji Bai, et al. ∙

research

∙ 03/31/2022

Logit Normalization for Long-tail Object Detection

Real-world data exhibiting skewed distributions pose a serious challenge...

7 Liang Zhao, et al. ∙

research

∙ 03/29/2022

Task-specific Inconsistency Alignment for Domain Adaptive Object Detection

Detectors trained with massive labeled data often exhibit dramatic perfo...

7 Liang Zhao, et al. ∙

research

∙ 02/28/2022

Disentangled Spatiotemporal Graph Generative Models

Spatiotemporal graph represents a crucial data structure where the nodes...

4 Yuanqi Du, et al. ∙

research

∙ 02/28/2022

Interpretable Molecular Graph Generation via Monotonic Constraints

Designing molecules with specific properties is a long-lasting research ...

4 Yuanqi Du, et al. ∙

research

∙ 02/18/2022

Black-box Node Injection Attack for Graph Neural Networks

Graph Neural Networks (GNNs) have drawn significant attentions over the ...

2 Mingxuan Ju, et al. ∙

research

∙ 02/06/2022

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

While Deep Neural Networks (DNNs) are deriving the major innovations in ...

7 Yuyang Gao, et al. ∙

research

∙ 01/28/2022

Deep Generative Model for Periodic Graphs

Periodic graphs are graphs consisting of repetitive local structures, su...

2 Shiyu Wang, et al. ∙

research

∙ 01/06/2022

Efficiently Disentangle Causal Representations

This paper proposes an efficient approach to learning disentangled repre...

8 Yuanpeng Li, et al. ∙

research

∙ 12/23/2021

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?

During the past several years, a surge of multi-lingual Pre-trained Lang...

2 Junxiang Wang, et al. ∙

research

∙ 12/22/2021

A Convergent ADMM Framework for Efficient Neural Network Training

As a well-known optimization framework, the Alternating Direction Method...

9 Junxiang Wang, et al. ∙

research

∙ 12/17/2021

Community-based Layerwise Distributed Training of Graph Convolutional Networks

The Graph Convolutional Network (GCN) has been successfully applied to m...

8 Hongyi Li, et al. ∙

research

∙ 12/08/2021

Adaptive Kernel Graph Neural Network

Graph neural networks (GNNs) have demonstrated great success in represen...

14 Mingxuan Ju, et al. ∙

research

∙ 12/01/2021

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph

We target the task of cross-lingual Machine Reading Comprehension (MRC) ...

1 Liyan Xu, et al. ∙

research

∙ 11/26/2021

KNAS: Green Neural Architecture Search

Many existing neural architecture search (NAS) solutions rely on downstr...

8 Jingjing Xu, et al. ∙

research

∙ 10/26/2021

Heterogeneous Temporal Graph Neural Network

Graph neural networks (GNNs) have been broadly studied on dynamic graphs...

6 Yujie Fan, et al. ∙

research

∙ 08/23/2021

Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search

A novel framework has recently been proposed for designing the molecular...

7 Naveed Ahmed Azam, et al. ∙

Liang Zhao

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