Search Results for author: Caihua Shan

Found 9 papers, 4 papers with code

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

no code implementations CVPR 2022 Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li

Instead of looking at one format, it is a good solution to utilize the formats of VG and RG together to avoid these shortcomings.

3D Object Recognition Vector Graphics

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

1 code implementation15 May 2022 Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian

Further, for other homophilous nodes excluded in the neighborhood, they are ignored for information aggregation.

Node Classification

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

no code implementations30 Mar 2022 Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang

To this end, we propose a cross-metric multi-dimensional root cause analysis method, named CMMD, which consists of two key components: 1) relationship modeling, which utilizes graph neural network (GNN) to model the unknown complex calculation among metrics and aggregation function among dimensions from historical data; 2) root cause localization, which adopts the genetic algorithm to efficiently and effectively dive into the raw data and localize the abnormal dimension(s) once the KPI anomalies are detected.

Reinforcement Learning Enhanced Explainer for Graph Neural Networks

no code implementations NeurIPS 2021 Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

To address these issues, we propose a RL-enhanced GNN explainer, RG-Explainer, which consists of three main components: starting point selection, iterative graph generation and stopping criteria learning.

Combinatorial Optimization Graph Generation +1

How Powerful is Graph Convolution for Recommendation?

1 code implementation17 Aug 2021 Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li

In this paper, we endeavor to obtain a better understanding of GCN-based CF methods via the lens of graph signal processing.

Collaborative Filtering

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data

1 code implementation8 Jun 2020 Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester

We study the problem of applying spectral clustering to cluster multi-scale data, which is data whose clusters are of various sizes and densities.

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

no code implementations4 Nov 2019 Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian

In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.

A General Early-Stopping Module for Crowdsourced Ranking

no code implementations4 Nov 2019 Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li

The number of microtasks depends on the budget allocated for the problem.

Cannot find the paper you are looking for? You can Submit a new open access paper.