Search Results for author: Huanhuan Chen

Found 37 papers, 7 papers with code

From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data

no code implementations29 Jun 2023 Taiyu Ban, Lyvzhou Chen, Xiangyu Wang, Huanhuan Chen

In this paper, we advance the current research of LLM-driven causal discovery by proposing a novel framework that combines knowledge-based LLM causal analysis with data-driven causal structure learning.

Causal Discovery

Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge

no code implementations12 Jun 2023 Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

LLM presents strong capability in discovering causal relationships between variables with the "text" inputs defining the investigated variables, leading to a potential new hierarchy and new ladder of causality.

Underground Diagnosis Based on GPR and Learning in the Model Space

no code implementations25 Nov 2022 Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen

In this paper, a GPR B-scan image diagnosis method based on learning in the model space is proposed.


Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data

no code implementations21 Oct 2022 Xiren Zhou, Shikang Liu, Ao Chen, Yizhan Fan, Huanhuan Chen

In this paper, a novel method is proposed to improve the subsurface anomaly detection from GPR B-scan images.

Anomaly Detection GPR

Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression

no code implementations25 Jan 2022 Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen

On the basis of the established coordinate system and the derived points on the cable, the clustering method and cable fitting algorithm based on Gaussian-process regression are proposed to find the most likely locations of the underground cables.

GPR regression

Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model

no code implementations25 Jan 2022 Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen

By minimizing the sum of the algebraic distances from the extracted point set to the inverted ellipse, the most likely pipeline's direction and radius are determined.


A Survey on Reinforcement Learning for Recommender Systems

no code implementations22 Sep 2021 Yuanguo Lin, Yong liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao

To understand the challenges and relevant solutions, there should be a reference for researchers and practitioners working on RL-based recommender systems.

Explainable Recommendation reinforcement-learning +2

Semi-supervised Learning with Missing Values Imputation

no code implementations3 Jun 2021 Buliao Huang, Yunhui Zhu, Muhammad Usman, Huanhuan Chen

SSCFlow explicitly utilizes the label information to facilitate the imputation and classification simultaneously by estimating the conditional distribution of incomplete instances with a novel semi-supervised normalizing flow.

Classification Denoising +2

Relation Classification with Entity Type Restriction

no code implementations Findings (ACL) 2021 Shengfei Lyu, Huanhuan Chen

Specially, the mutual restrictions of relations and entity types are formalized and introduced into relation classification.

Classification Relation +3

When Non-Elitism Meets Time-Linkage Problems

no code implementations14 Apr 2021 Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao

However, only two elitist algorithms (1+1)EA and ($\mu$+1)EA are analyzed, and it is unknown whether the non-elitism mechanism could help to escape the local optima existed in OneMax$_{(0, 1^n)}$.

Evolutionary Algorithms

Brain-inspired Search Engine Assistant based on Knowledge Graph

no code implementations25 Dec 2020 Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao

However, when a query is complex, developers need to repeatedly refine the search keywords and open a large number of web pages to find and summarize answers.

Decision Making

A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes

no code implementations15 Dec 2020 Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen

To handle different types of Many-Objective Optimization Problems (MaOPs), Many-Objective Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space.

Evolutionary Algorithms Point Processes

Trustworthy Preference Completion in Social Choice

no code implementations14 Dec 2020 Lei LI, Minghe Xue, Huanhuan Chen, Xindong Wu

As from time to time it is impractical to ask agents to provide linear orders over all alternatives, for these partial rankings it is necessary to conduct preference completion.

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables

no code implementations9 Nov 2020 Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

Analyzing these mechanisms, we provide the theoretical property of common causal variables, based on which the discovery and distinguishing algorithm is designed to identify these two types of variables.

feature selection

A Weighted Heterogeneous Graph Based Dialogue System

no code implementations21 Oct 2020 Xinyan Zhao, LiangWei Chen, Huanhuan Chen

Most research on disease diagnosis dialogue systems highly rely on data-driven methods and statistical features, lacking profound comprehension of symptom-disease relations and symptom-symptom relations.

Attribute Dialogue Management +1

A Systematic Survey of Regularization and Normalization in GANs

1 code implementation19 Aug 2020 Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, Bin Li

Although a handful number of regularization and normalization methods have been proposed for GANs, to the best of our knowledge, there exists no comprehensive survey that primarily focuses on objectives and development of these methods, apart from some in-comprehensive and limited scope studies.

Data Augmentation

Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering

no code implementations30 Jun 2020 Xinyan Zhao, Xiao Feng, Haoming Zhong, Jun Yao, Huanhuan Chen

CAR-Transformer (1) revises each condition value based on the whole conversation and original conditions values, and (2) it encodes the revised conditions and utilizes the conditions embedding to select an answer.

Question Answering

Online Dynamic Network Embedding

no code implementations30 Jun 2020 Haiwei Huang, Jinlong Li, Huimin He, Huanhuan Chen

Network embedding is a very important method for network data.

Network Embedding

Probabilistic Classification Vector Machine for Multi-Class Classification

no code implementations29 Jun 2020 Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian solution to classification problems.

Classification General Classification +1

Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property

no code implementations26 Apr 2020 Weijie Zheng, Huanhuan Chen, Xin Yao

In real-world applications, many optimization problems have the time-linkage property, that is, the objective function value relies on the current solution as well as the historical solutions.

Evolutionary Algorithms

Use Short Isometric Shapelets to Accelerate Binary Time Series Classification

no code implementations27 Dec 2019 Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen

In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification.

Classification General Classification +3

When does Diversity Help Generalization in Classification Ensembles?

no code implementations30 Oct 2019 Yijun Bian, Huanhuan Chen

To reveal the effect of diversity on the generalization of classification ensembles, we investigate three issues on diversity, i. e., the measurement of diversity, the relationship between the proposed diversity and the generalization error, and the utilization of this relationship for ensemble pruning.

Classification Ensemble Pruning +2

Sub-Architecture Ensemble Pruning in Neural Architecture Search

1 code implementation1 Oct 2019 Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu

Neural architecture search (NAS) is gaining more and more attention in recent years due to its flexibility and remarkable capability to reduce the burden of neural network design.

Ensemble Learning Ensemble Pruning +1

Multiple Kernel $k$-Means Clustering by Selecting Representative Kernels

no code implementations1 Nov 2018 Yaqiang Yao, Huanhuan Chen

Despite the success of multiple kernel $k$-means clustering in various scenarios, few of the existing work update the combination coefficients based on the diversity of kernels, which leads to the result that the selected kernels contain high redundancy and would degrade the clustering performance and efficiency.


Skeleton-based Activity Recognition with Local Order Preserving Match of Linear Patches

no code implementations1 Nov 2018 Yaqiang Yao, Yan Liu, Huanhuan Chen

In this paper, we first design an efficient division method to decompose a manifold into ordered continuous maximal linear patches (CMLPs) that denote meaningful action snippets of the action sequence.

Human Activity Recognition

Ensemble Pruning based on Objection Maximization with a General Distributed Framework

1 code implementation13 Jun 2018 Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen

Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space.

Ensemble Learning Ensemble Pruning

Disturbance Grassmann Kernels for Subspace-Based Learning

no code implementations10 Feb 2018 Junyuan Hong, Huanhuan Chen, Feng Lin

In this paper, we focus on subspace-based learning problems, where data elements are linear subspaces instead of vectors.

Dynamic State Warping

no code implementations3 Mar 2017 Zhichen Gong, Huanhuan Chen

Thus DSW is able to yield alignment that is semantically more interpretable than that of DTW.

Dynamic Time Warping

Probabilistic Feature Selection and Classification Vector Machine

no code implementations18 Sep 2016 Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen

The proposed method, called probabilistic feature selection and classification vector machine (PFCVMLP ), is able to simultaneously select relevant features and samples for classification tasks.

Classification feature selection +1

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