b'Haifeng Chen'

research

∙ 09/12/2023

GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection

Logs play a crucial role in system monitoring and debugging by recording...

0 Yufei Li, et al. ∙

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

∙ 08/31/2023

Adaptation Speed Analysis for Fairness-aware Causal Models

For example, in machine translation tasks, to achieve bidirectional tran...

0 Yujie Lin, et al. ∙

research

∙ 06/13/2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Imitation learning has achieved great success in many sequential decisio...

0 Tianxiang Zhao, 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

∙ 05/27/2023

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Large language models (LLMs) have notably enhanced the fluency and diver...

0 Xianjun Yang, et al. ∙

research

∙ 05/18/2023

Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis

The task of root cause analysis (RCA) is to identify the root causes of ...

0 Dongjie Wang, et al. ∙

research

∙ 05/05/2023

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data

Jointly extracting entity pairs and their relations is challenging when ...

0 Yufei Li, et al. ∙

research

∙ 05/01/2023

Personalized Federated Learning under Mixture of Distributions

The recent trend towards Personalized Federated Learning (PFL) has garne...

2 Yue Wu, et al. ∙

research

∙ 03/21/2023

Time Series Contrastive Learning with Information-Aware Augmentations

Various contrastive learning approaches have been proposed in recent yea...

2 Dongsheng Luo, et al. ∙

research

∙ 03/06/2023

Dynamic Prompting: A Unified Framework for Prompt Tuning

It has been demonstrated that prompt tuning is highly effective in effic...

0 Xianjun Yang, et al. ∙

research

∙ 02/16/2023

Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization

Text summarization has been a crucial problem in natural language proces...

0 Xianjun Yang, 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

∙ 02/03/2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization

In this paper, we propose REASON, a novel framework that enables the aut...

0 Dongjie Wang, 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

∙ 10/26/2022

Personalized Federated Learning via Heterogeneous Modular Networks

Personalized Federated Learning (PFL) which collaboratively trains a fed...

0 Tianchun Wan, et al. ∙

research

∙ 05/09/2022

Deep Federated Anomaly Detection for Multivariate Time Series Data

Despite the fact that many anomaly detection approaches have been develo...

0 Wei Zhu, et al. ∙

research

∙ 02/05/2022

SEED: Sound Event Early Detection via Evidential Uncertainty

Sound Event Early Detection (SEED) is an essential task in recognizing t...

9 Xujiang Zhao, et al. ∙

research

∙ 01/24/2022

Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series

In this paper, we propose an ordered time series classification framewor...

0 Jurijs Nazarovs, 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

∙ 12/01/2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment

Motivated by the success of pre-trained language models such as BERT in ...

3 Denghui Zhang, 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

∙ 10/28/2021

InfoGCL: Information-Aware Graph Contrastive Learning

Various graph contrastive learning models have been proposed to improve ...

5 Dongkuan Xu, et al. ∙

research

∙ 09/07/2021

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction

Compliments and concerns in reviews are valuable for understanding users...

0 Zeyu Li, et al. ∙

research

∙ 09/01/2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation

Recent multilingual pre-trained language models have achieved remarkable...

3 Liyan Xu, et al. ∙

research

∙ 07/29/2021

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

Detecting abnormal activities in real-world surveillance videos is an im...

0 Xinyang Feng, et al. ∙

research

∙ 05/17/2021

Learning Disentangled Representations for Time Series

Time-series representation learning is a fundamental task for time-serie...

17 Yuening Li, et al. ∙

research

∙ 04/08/2021

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems

We present FACESEC, a framework for fine-grained robustness evaluation o...

0 Liang Tong, et al. ∙

research

∙ 03/26/2021

Unsupervised Document Embedding via Contrastive Augmentation

We present a contrasting learning approach with data augmentation techni...

14 Dongsheng Luo, et al. ∙

research

∙ 03/03/2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

Forecasting on sparse multivariate time series (MTS) aims to model the p...

5 Yinjun Wu, et al. ∙

research

∙ 11/13/2020

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...

1 Dongsheng Luo, et al. ∙

research

∙ 11/09/2020

Parameterized Explainer for Graph Neural Network

Despite recent progress in Graph Neural Networks (GNNs), explaining pred...

22 Dongsheng Luo, et al. ∙

research

∙ 10/26/2020

T^2-Net: A Semi-supervised Deep Model for Turbulence Forecasting

Accurate air turbulence forecasting can help airlines avoid hazardous tu...

7 Denghui Zhang, et al. ∙

research

∙ 09/07/2020

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Pre-trained language models such as BERT have achieved great success in ...

0 Denghui Zhang, et al. ∙

research

∙ 08/31/2020

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

Discrete event sequences are ubiquitous, such as an ordered event series...

0 Zhiwei Wang, et al. ∙

research

∙ 08/26/2020

SIGL: Securing Software Installations Through Deep Graph Learning

Many users implicitly assume that software can only be exploited after i...

0 Xueyuan Han, et al. ∙

research

∙ 06/19/2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

Outlier detection is an important data mining task with numerous practic...

7 Yuening Li, et al. ∙

research

∙ 05/15/2020

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

Detecting anomalies in dynamic graphs is a vital task, with numerous pra...

0 Lei Cai, et al. ∙

research

∙ 12/18/2019

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Recently, recommender systems have been able to emit substantially impro...

0 Xin Dong, et al. ∙

research

∙ 10/17/2019

Heterogeneous Graph Matching Networks

Information systems have widely been the target of malware attacks. Trad...

9 Shen Wang, et al. ∙

research

∙ 10/04/2019

Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional represent...

21 Lu Wang, et al. ∙

research

∙ 05/09/2019

Adversarial Defense Framework for Graph Neural Network

Graph neural network (GNN), as a powerful representation learning model ...

6 Shen Wang, et al. ∙

research

∙ 12/10/2018

Deep Program Reidentification: A Graph Neural Network Solution

Program or process is an integral part of almost every IT/OT system. Can...

0 Shen Wang, et al. ∙

research

∙ 11/20/2018

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Nowadays, multivariate time series data are increasingly collected in va...

0 Chuxu Zhang, et al. ∙

research

∙ 04/07/2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

The Nonlinear autoregressive exogenous (NARX) model, which predicts the ...

0 Yao Qin, et al. ∙

Haifeng Chen

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